Compare commits

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Author SHA1 Message Date
geohot a5afdcc79b add lds double buffering to amd_asm_matmul 2026-01-17 16:26:07 +09:00
geohot 9f7f2f0e0c MAX_SQTT_PKTS 2026-01-17 12:05:36 +09:00
George HotzandGitHub 50554115ee fix VALU_SALU / IMMED_MASK and improve amd_asm_matmul (#14196)
* fix VALU_SALU / IMMED_MASK and improve amd_asm_matmul

* immed

* wave override

* restore ALT

* advance sgprs correctly

* no helpers

* decrease to 192 VGPRs
2026-01-17 11:58:34 +09:00
chenyuandGitHub ab244c7f81 onnx Gather should not assume indices to be const (#14185)
* onnx Gather should not assume indices to be const

added a failed test case

* just list
2026-01-16 20:55:00 -05:00
wozeparrotandGitHub a879b54234 tk: fa jit fix (#14170) 2026-01-16 16:38:45 -08:00
qazalandGitHub a8ae9757dd viz: put alts in the same row, LDS color (#14194)
* viz: put alts in the same row, coloring work

* assert if packets overlap

* lds color
2026-01-17 09:36:14 +09:00
qazalandGitHub 5aa71f437b viz: precise clock cycles in PKTS (#14179)
* viz: relative clock cycles in PKTS

* format clocks as xM yK 999 cycles
2026-01-17 09:08:13 +09:00
sirhcmandGitHub eafcd44d95 fix OSX image pitch (#14193) 2026-01-16 19:07:33 -05:00
sirhcmandGitHub 3960e2758c suppress_finalizing in hip (#14189) 2026-01-16 18:56:29 -05:00
qazalandGitHub 9302ab003a viz: show ALT/OTHER packets on second lane (#14192)
* viz: show dimmer ALT/OTHER packets

* remove todo comment

* work

* current vmem is gray
2026-01-17 08:55:24 +09:00
qazalandGitHub 551454f476 viz: fix wave sort, show message if sqtt trace is empty (#14190)
* show message if sqtt trace is empty

* work

* fix wave sort

* back
2026-01-17 08:01:26 +09:00
George HotzandGitHub 8a2549d42b improve amd_asm_matmul + minor VIZ PKTS improvements (#14186)
* improve amd_asm_matmul + minor VIZ PKTS improvements

* fix waitcnt issue

* cleanups
2026-01-17 06:56:59 +09:00
George HotzandGitHub 7d1d9d4568 assembly/amd: remove IMG instruction support and asm.py (#14163)
* assembly/amd: return IMG instruction supports

* remove asm.py

* op2dsl
2026-01-17 06:21:50 +09:00
chenyuandGitHub dc4ae7dd08 lower ASSERT_MIN_STEP_TIME for driving_policy to 3ms (#14184)
seems quite stable at 2.7ms now
2026-01-16 15:04:53 -05:00
chenyuandGitHub 0a14e1fcd4 fix some type ignore (#14182) 2026-01-16 13:56:45 -05:00
chenyuandGitHub fc10470883 add UOp.__index__ (#14181)
Tensor slice is handled by __getitem__, so the index method is just for SupportsIndex
2026-01-16 12:28:33 -05:00
chenyuandGitHub 6790165ef8 minor _apply_uop cleanup (#14180)
give fxn a return type and minor style change
2026-01-16 11:27:55 -05:00
nimlgenandGitHub e855ec8ee3 tbgpu: refactor dext to support user mappings (#14177) 2026-01-16 15:55:57 +03:00
qazalandGitHub bbc55962ee viz: color SQTT INST Ops like UOps (#14175) 2026-01-16 21:24:43 +09:00
qazalandGitHub 3751b29a3d viz: skip OTHER_ SQTT packets (#14178) 2026-01-16 20:37:19 +09:00
qazalandGitHub 7c1f1cb2bc viz: fix INST packets coloring (#14176)
* viz: fix INST packets coloring

* work
2026-01-16 18:46:13 +09:00
qazalandGitHub 1696991988 viz: add PKTS group to sqtt trace (#14173)
* viz: add PKTS group to sqtt trace

* soft_err for rdna4

* different itrace
2026-01-16 17:29:47 +09:00
sirhcmandGitHub a021b84604 autogen: fix enum (#14171) 2026-01-16 01:30:11 -05:00
qazalandGitHub fa5475307c viz: collapse wave packets in one row, 1 clk per packet (#14169)
* per wave packets in one row

* work

* row_tuple

* cleaner

* one row and one lane per wave

* globals split into rows based on type

* barrier length
2026-01-16 13:52:07 +09:00
sirhcmandGitHub 5abc262e22 fix dll.bind caching (#14168) 2026-01-15 20:25:42 -05:00
sirhcmandGitHub f9ca072b61 cuda compilers disassemble properly (#14166)
* cuda compilers disassemble properly

* this can use system
2026-01-15 19:02:40 -05:00
chenyuandGitHub 14e9a71a41 move test_assign to unit (#14165)
scheduling these should not depend on device
2026-01-15 17:10:13 -05:00
nimlgenandGitHub a0dd9d2146 tbgpu: correct com.apple.developer.driverkit.transport.pci entitlements (#14164)
* tbgpu: correct com.apple.developer.driverkit.transport.pci entitlements

* format
2026-01-15 20:56:39 +03:00
qazalandGitHub 32e1c267ee viz: SQTT timeline with our decoder (#14139)
* viz: sqtt OCC/INST timeline in our decoder

* todo

* lint

* work

* cleaner

* profiling

* better timing

* keep the generic api

* more generic

* 80x -> 20x off the C decoder

* unusably slow

* rm filters

* work

* work

* other way to sort ops

* work

* first 10k

* 100K actually tells a story

* barrier INST packets get their own red color and row

* minor detail

* 50K

* soft_err
2026-01-15 20:45:16 +09:00
sirhcmandGitHub 0cb024a5bb remove ctypes.Structure (#13651) 2026-01-15 05:06:22 -05:00
George HotzandGitHub 255e0573b1 assembly/amd: clean up asm/disasm (#14158)
* assembly/amd: clean up asm/disasm

* update disasm

* revert dumb stuff

* update decode

* use fmt
2026-01-15 17:45:40 +09:00
qazalandGitHub 164bc678a6 scheduler: sched_cache bugfix for different Tensor.custom_kernel schedules (#14161)
* simplest failing test

* min fix

* same function reuses the cache

* SPEC=2 never worked for custom_kernel
2026-01-15 14:59:14 +09:00
qazalandGitHub b46da603fe codegen/custom_kernel: do not attach KernelInfo to user program (#14160) 2026-01-15 14:01:48 +09:00
George HotzandGitHub fd60626ea1 assembly/amd: refactor to use op_bits/op_regs (#14156)
* assembly/amd: refactor to use op_bits/op_regs

* remove that skip

* remove another hack

* remove another hack

* precompute mask

* more reg, less hasattr
2026-01-15 11:20:21 +09:00
chenyuandGitHub add7da268f multiple slice assign test (#14157)
GANing test cases
2026-01-14 21:08:03 -05:00
George HotzandGitHub e9ce12028e assembly/amd: amdxml cleanups, remove broken SDWA/DPP, merge in pdf.py (#14154)
* assembly/amd: amdxml cleanups, remove broken SDWA/DPP

* remove buf junk

* simplify

* simplify

* lil cleanup

* dead fixes

* strip non pcode extraction from pdf

* merge pdf.py into amdxml.py

* only amdxml
2026-01-15 09:23:19 +09:00
wozeparrotandGitHub 7e5687f6a3 more fa multi fix (#14152) 2026-01-14 13:57:11 -08:00
chenyuandGitHub 1381daac06 many more failed assign tests (#14153)
assign is quite broken
2026-01-14 16:20:28 -05:00
nimlgenandGitHub 8c55ef4f01 amd: cleanup props (#14145)
* amd: cleanup props

* f
2026-01-14 20:27:41 +03:00
chenyuandGitHub 899a56446e failed assign test cases with write before read (#14148)
slice assign write before read fails now. this is why kv cache needs a realize
2026-01-14 10:30:50 -05:00
chenyuandGitHub 986e865830 fix TINY_BACKEND=1 cumsum (#14138)
* fix TINY_BACKEND=1 cumsum

old hack was wrong, need to apply contiguous on the input

* test time

* test_linalg_svd is slow
2026-01-14 09:54:49 -05:00
qazalandGitHub 434dbafab5 optional Estimates in KernelInfo (#14147)
* optional Estimates in KernelInfo

* custom asm test plumbing

* s_code_end

* estimates test

* vaddr arg in global_store

* kernel desc

* Ops.DEVICE name
2026-01-14 22:55:03 +09:00
qazalandGitHub 76b577ee76 viz: only SIMD name in sqtt timeline rows (#14146) 2026-01-14 20:13:27 +09:00
George HotzandGitHub e5500ae4ad add ALU stuff to default perf counters (#14135)
* add ALU stuff to default perf counters

* lds

* add alu utilization

* cleaner

* format as percent

* cleanest

* roc
2026-01-14 19:47:59 +09:00
nimlgenandGitHub 86708ccac5 hip_ioctl: dump aql (#14142) 2026-01-14 13:15:10 +03:00
nimlgenandGitHub f9147422a3 ci: add setcap (#14143) 2026-01-14 13:15:01 +03:00
nimlgenandGitHub 62c1a014a6 amd: rename to be consistent (#14141) 2026-01-14 11:41:04 +03:00
sirhcmandGitHub e0eea0d833 autogen: verify all files in CI (#14140)
* autogen: verify all files in CI

* dont delete libclang
2026-01-14 02:35:54 -05:00
chenyuandGitHub 2a2c1eacf6 disable fast_idiv on metal (#14137)
there's a metal compiler bug which was the root cause that keccak needs a contigous hack
2026-01-13 21:40:40 -05:00
wozeparrotandGitHub a92778aa0c tk: fa multi fix (#14134) 2026-01-13 17:22:15 -08:00
George HotzandGitHub 2ab18ea7e3 assembly/amd: use xml instead of pdf (#14118)
* assembly/amd: use xml instead of pdf

* use amdxml to generate info about op sizes

* fix many tests with invalid instructions

* fix info generation

* chad xml fixes many bugs

* rename to operands

* simplify

* amdxml

* bug fix
2026-01-14 10:03:37 +09:00
qazalandGitHub 002ea39da7 assembly/amd: use Tensor.custom_kernel to run assembly (#14125)
* assembly/amd: use Tensor.custom_kernel to run assembly

* PRINT_ASM=1 is DEBUG=4
2026-01-14 08:29:25 +09:00
chenyuandGitHub fe00682502 clean up svd tests (#14133)
removed from test_ops and added to TestTorchBackend
2026-01-13 16:32:21 -05:00
chenyuandGitHub 84b88a0a31 more doc of newly added functions (#14132) 2026-01-13 15:48:45 -05:00
chenyuandGitHub e610821c52 Tensor.cummin and Tensor.nonzero (#14131) 2026-01-13 15:09:56 -05:00
chenyuandGitHub 176a934ddd Tensor.diagonal support offset and dims (#14130) 2026-01-13 14:49:06 -05:00
chenyuandGitHub 2a217ba206 tinybackend isin and log10 (#14120)
can use tinygrad directly
2026-01-13 14:14:09 -05:00
qazalandGitHub 79d00521f8 viz: fix cfg err when endpgm is in the middle of stream (#14128)
* kernel from beautiful_mnist

* minimal test

* correct way to do this

* rm that
2026-01-14 02:00:34 +09:00
qazalandGitHub 7fe91e5db9 viz: cleanup cfg renderer (#14127)
* remove colorDomains from sqtt

* colors in js

* work
2026-01-14 01:10:42 +09:00
nimlgenandGitHub 1364449cab system: early pci perm check (#14126)
* system: early pci perm check

* l
2026-01-13 17:45:05 +03:00
George HotzandGitHub a28c8105a5 assembly/amd: 2% faster amd_uop_matmul + SQTT (#14122)
* assembly/amd: 2% faster amd_uop_matmul

* SQTT_TOKEN_EXCLUDE + SQTT_SIMD_SEL

* sqtt printer

* fix printer

* fast decode

* fast decoder

* test packet counts

* ugh it's not faster

* dead
2026-01-13 19:55:32 +09:00
qazalandGitHub 6cd318e377 viz: add link to graph from sqtt (#14123) 2026-01-13 17:31:03 +09:00
qazalandGitHub fd10fd245a viz: cfg tokenizer fix and unit tests (#14121)
* output Ops.BINARY

* failing test for the cfg

* dsl renamed to offset and sz

* add better asserts

* move the note
2026-01-13 15:08:55 +09:00
chenyuandGitHub 05fcb57696 also return index in Tensor.cummax (#14117)
* also return index in Tensor.cummax

* fix
2026-01-12 22:42:10 -05:00
wozeparrotandGitHub 7c967399a4 tk: add failing test for fa multidevice (#14116) 2026-01-12 19:11:09 -08:00
George HotzandGitHub 330a0b686e assembly/amd: clean up dsl and make type verification strict (#14102)
* assembly/amd: start newdsl

* work

* newdsl upd

* Reg is p nice

* cleaner

* work

* getting clean

* all fields

* more BitFields

* redo the pdfs with dsl2 syntax

* no lit

* cleanups

* more defaults

* fix get and remove crap

* aliases

* ugly but kind of works

* NULL, not rawimm

* clean up defaults

* only dsl

* asm fixes

* lit fixup

* more lit

* cleanups

* olddsl

* single pcode dict

* emu sort of works

* trash test

* global is global

* types property

* reg mods

* fix a few tests

* remove monkey patch

* fixes

* less hacks in tests

* less hacks in tests

* 4 test failures

* hw tests all pass

* fix compare emulator

* fix some tests

* 3 more

* fix and shorten sqtt

* handwritten

* fix validation

* test corrections

* all types validate

* fix dsl2 tests

* fix bugs in disasm

* skips on cdna

* work

* repr with reg[]

* fix bitfield tests

* merge pcodes in dsl

* remove override

* disasm uses inst.types

* simpler
2026-01-13 08:52:16 +09:00
C TandGitHub a8c821f45e add Tensor.log10 with test\test_ops.py::TestOps::test_log10 (#14113) 2026-01-12 13:45:47 -05:00
chenyuandGitHub 6b0a9f5ee6 don't strip sink in to_uops_list [pr] (#14111) 2026-01-12 11:19:03 -05:00
chenyuandGitHub cad7feec02 more onnx ops (#14104)
HannWindow, HammingWindow, BlackmanWindow, Hardmax, LpNormalization
2026-01-12 09:11:13 -05:00
nimlgenandGitHub 635ed2df9d system: use pci.PCI_VENDOR_ID instead of const (#14109) 2026-01-12 15:24:09 +03:00
qazalandGitHub 6c0f0e29ff Revert "viz: loading... (#14107)" (#14108)
This reverts commit 9347757c2d.
2026-01-12 20:45:37 +09:00
nimlgenandGitHub 9347757c2d viz: loading... (#14107) 2026-01-12 13:24:24 +03:00
wozeparrotandGitHub 3a92df66ea feat: bump version to 0.12.0 (#14105) 2026-01-11 21:19:49 -08:00
chenyuandGitHub 7c234a9c7c wgsl cleanup [pr] (#14103)
refactor common pack functions
2026-01-11 21:23:45 -05:00
George HotzandGitHub 91bde927ef assembly/amd: split asm.py into asm.py and disasm.py (#14101)
* split asm.py into asm.py and disasm.py

* split decoder

* move to pcode

* tests
2026-01-12 07:22:02 +09:00
George HotzandGitHub 44135e2e84 assembly/amd: always use v_nop in test for rocprof-trace-decoder (#14100)
* assembly/amd: always use v_nop in test for rocprof-trace-decoder

* test touchups
2026-01-12 05:31:58 +09:00
George HotzandGitHub 8b1b15aec0 assembly/amd: SQTT support (#14099)
* assembly/amd: SQTT support

* simpler

* cmp wave

* instruction compare

* rocprof decode

* simpler

* no llvm

* no strcmp
2026-01-12 05:07:17 +09:00
nimlgenandGitHub 8b5ff403fa am: flag successful finalization (#14097)
* am: flag successful finalization

* import
2026-01-11 16:24:53 +03:00
qazalandGitHub d8aba24967 amd: use kernel descriptor struct in AMDProgram (#14096) 2026-01-11 18:25:16 +09:00
chenyuandGitHub 9973a81356 add channels_last to QLinearGlobalAveragePool (#14094)
and other minor cleanups
2026-01-10 18:38:19 -05:00
chenyuandGitHub c5492f8f75 cstyle cleanup [pr] (#14093) 2026-01-10 09:44:50 -05:00
nimlgenandGitHub d5f954858d viz: show precise timings (#14092) 2026-01-10 16:21:08 +03:00
nimlgenandGitHub 3e2c05ee9f hevc: decoder as iterator (#14091) 2026-01-10 14:57:56 +03:00
chenyuandGitHub 35c9701df0 update outdated tests and comments (#14090) 2026-01-10 01:00:48 -05:00
chenyuandGitHub 92246ea731 update tests, WEBGPU=1 pytest . passes (#14089)
* update tests, `WEBGPU=1 pytest .` passes

* minor update
2026-01-10 00:03:02 -05:00
chenyuandGitHub c34c6d9468 fix wgsl packed_store can drop valid (#14088)
* fix wgsl packed_store can drop valid

* fix
2026-01-09 15:22:06 -05:00
chenyuandGitHub eacccc5ace more disk assign tests (#14087)
covers more edge cases
2026-01-09 14:14:52 -05:00
chenyuandGitHub ed295e74dc don't skip gguf test if ggml is not installed (#14086)
* don't skip gguf test if ggml is not installed

should just let it fail

* fix
2026-01-09 12:05:58 -05:00
chenyuandGitHub cff33c8d78 add some disk assign tests (#14085) 2026-01-09 11:50:59 -05:00
chenyuandGitHub 74fa3c7d09 decomp pow for LVP (#14084)
test failed due to undefined behavior, so use decomp instead
2026-01-09 10:50:28 -05:00
0fbc551622 train bert with fp8 (#13874)
* fp8 train

* clean

* lint

* test fix from #13439

* skip first/last layer

* rm __init__, restore unroll <=32 check

* tests

* clean test, remove unused

* multi-gpu test, clean quantize_to_fp8

* remove bert contiguous

* run script

* test: better check

* run script search

* add seed in bert data shuffle

* move script to mi350x folder

---------

Co-authored-by: chenyu <[email protected]>
2026-01-09 09:21:59 -05:00
nimlgenandGitHub ba209d6305 am: utc_l1_enable on all sdma inst (#14083) 2026-01-09 17:17:05 +03:00
nimlgenandGitHub 6b308b89b7 viz: timeline time (#14080)
* viz: timeline time

* less lines

* cut
2026-01-09 16:43:45 +03:00
nimlgenandGitHub 40f9fa2db4 autogen: new kfd (#14082) 2026-01-09 16:08:17 +03:00
qazalandGitHub 2917ed1616 roc: propagate decoder errors to main thread (#14081)
* roc: propagate decoder errors to main thread

* types

* add cause
2026-01-09 21:10:45 +09:00
qazalandGitHub f3f4d9b387 viz: fix disasm node width (#14079) 2026-01-09 16:37:37 +09:00
c70c112254 fix CUDA=1 disassembly (VIZ=1) by stripping null terminator (#14046)
* fix ptxas disassembly bug

* single '

* move fix to get_bytes

* move rstrip

---------

Co-authored-by: qazal <[email protected]>
2026-01-09 15:19:59 +09:00
qazalandGitHub 13e5d00d0e viz: exclude comma in register highlight (#14078)
* viz: exclude comma in register highlight

* simplify
2026-01-09 15:10:30 +09:00
qazalandGitHub a071adffc0 viz: amdgpu disassembly register highlighting UI (#14059)
* viz: amdgpu disassembly register highlighting

* minor details

* details from IDA

* more details from IDA

* refactor token colors

* move tokenizer to python

* simplify

* minimal tokenizer for registers

* all the operand types
2026-01-09 11:27:09 +09:00
chenyuandGitHub b878f9d5a4 reuse Tensor init with const path [pr] (#14076) 2026-01-08 17:49:37 -05:00
chenyuandGitHub efcb32f6a9 unique const when requires_grad is set to True (#14075)
* unique const when requires_grad is set to True

* fix pyrender
2026-01-08 16:30:45 -05:00
chenyuandGitHub b34c637767 support bfloat16 for CL (#14073) 2026-01-08 14:14:29 -05:00
Garret CastroandGitHub 16b652302e skip bf16 test if not supported by device (#14070) 2026-01-08 13:37:24 -05:00
nimlgenandGitHub 3f61a96d79 am: SetSoftMaxByFreq on gfx10+ (#14068) 2026-01-08 17:00:03 +03:00
e7b5d8a434 assembly/amd: more RDNA4 asm (#14062)
* rdna4 more

* asm

* fixes

* assembly/amd: handwritten wmma failing test

* passes

* wmma default hacks

* space

* 0 skips in rdna3/rdna4 disasm

* more RDNA4 tests

---------

Co-authored-by: qazal <[email protected]>
2026-01-08 05:09:37 -08:00
nimlgenandGitHub e372c841ba hevc: beam in decode (#14067)
* hevc: beam in decode

* fine

* g
2026-01-08 15:47:16 +03:00
nimlgenandGitHub 1732a4ec4b am: rework set_clocks (#14065) 2026-01-08 15:33:32 +03:00
nimlgenandGitHub f3aceaa08b hevc: fast decoder (#14057) 2026-01-08 15:20:37 +03:00
qazalandGitHub 309197bca5 assembly/amd: test_roundtrip for cdna/rdna4 (#14066) 2026-01-08 21:03:13 +09:00
qazalandGitHub 15a056715d fix amd assembly IDE tests on macbook (#14063) 2026-01-08 17:27:52 +09:00
wozeparrotandGitHub 027b935269 tk: fix grouped load store (#14035) 2026-01-07 22:38:02 -08:00
George HotzandGitHub 2db04d0696 assembly/amd: start adding RDNA4 support (#14060)
* assembly/amd: start adding RDNA4 support

* rdna4 asm
2026-01-07 21:19:30 -08:00
George HotzandGitHub cb500466c2 assembly/amd: amd_asm_matmul (#13989)
* amd_asm_matmul

* dsl transform

* asm roundtrip

* fixed

* less

* better

* more

* simpler

* simplify

* lil

* simpler

* compact

* work

* cleanups

* simplify

* simpler

* cleanup

* name the regs

* simp

* big simp

* big simp

* simp

* acc grid

* fast

* stuff

* fast

* simpler

* owrks

* save vgprs

* save vgprs

* Compact

* less VGPRs

* after

* SQTT support

* fastest

* faster

* lil faster

* tile regs

* faster

* readable

* one more

* simpler

* lil simpler

* NO_GLOBAL skips early globals

* stock kernel

* cleanups

* cleanups

* one b reg

* safe reg changes

* acc is compact now

* remove confusing stuff

* sregs

* lds cleanups

* vopd
2026-01-07 20:11:05 -08:00
chenyuandGitHub 3caa1e2c98 fix cast HALF with PYTHON backend (#14058) 2026-01-07 16:52:05 -05:00
chenyuandGitHub 5f1ede7f7e clean up test_dtype (#14055)
use less lambda
2026-01-07 15:45:42 -05:00
nimlgenandGitHub 5bd4593eda hevc: cleaner decoder (#14056)
* hevc: cleaner decoder

* nn
2026-01-07 18:29:30 +03:00
b1tgandGitHub 241f0402b4 add seed in bert data shuffle (#14054) 2026-01-07 10:02:05 -05:00
nimlgenandGitHub 25c82dd242 nv: profile nvdec (#14053) 2026-01-07 15:56:54 +03:00
qazalandGitHub 35900290b2 viz: configure text height for cfg (#14052) 2026-01-07 18:58:56 +09:00
chenyuandGitHub 87f4bc5446 update variable names around jit [pr] (#14049)
lbs, st_vars_dtype_device and rawbuffers no more
2026-01-06 22:32:41 -05:00
chenyuandGitHub 2833c5a54b few more jit tests with multi tensor inputs (#14047) 2026-01-06 22:05:22 -05:00
chenyuandGitHub 72a3f78d19 jit includes tensor inputs in containers (#14043)
* jit includes tensor inputs in containers

* cleanup
2026-01-06 19:42:06 -05:00
chenyuandGitHub c714881832 don't allow jit input to be const (#14045)
* don't allow jit input to be unbuffered like const

* just const to fix multi

* fix rnnt
2026-01-06 18:15:22 -05:00
chenyuandGitHub a8896f28e1 test_unrealized_const_input_frozen (#14044)
unrealized const is not replaced in jit
2026-01-06 14:17:43 -05:00
nimlgenandGitHub 325f4006ff amd: copies w/o sdma (#14036)
* amd: copies w/o sdma

* as_args

* fixes

* f
2026-01-06 21:15:58 +03:00
chenyuandGitHub 7fb18f7e47 raise when jit fxn returns non-Tensor output (#14042) 2026-01-06 12:59:20 -05:00
chenyuandGitHub 4491ec0c9e JitError (#14041)
* JitError

* test_symbolic_jit
2026-01-06 12:19:50 -05:00
chenyuandGitHub 6ddddc68af test jit tolist failure (#14040)
also moved tests to test_jit_footguns
2026-01-06 11:16:57 -05:00
chenyuandGitHub b699b9f763 test case for jit a function with item call (#14039)
* test case for jit a function with item call

output is silently wrong now

* no dtype
2026-01-06 10:40:43 -05:00
nimlgenandGitHub 02084f5376 mockdsp: use dsp allocator (#14037)
* mockdsp: use dsp allocator

* fix

* ?
2026-01-06 16:04:47 +03:00
wozeparrotandGitHub 2b3e01e79c tk: support sliced local -> reg load (#14034) 2026-01-06 05:33:24 -05:00
George HotzandGitHub 45f7fd073d assembly/amd: pcode bug fixes (#14032)
* bring over pcode parser

* fixes

* pdf test

* delay alu
2026-01-06 00:15:48 -08:00
wozeparrotandGitHub 21d0f6bb76 tk: flat global -> local load (#14033) 2026-01-05 23:35:53 -08:00
qazalandGitHub 3170365a5b visualize SQTT with the same cfg infrastructure (#13870)
* start

* rough sketch

* post render dag

* art

* intro g key

* work

* custom color scale

* colors

* more blue

* better

* smaller

* use for loop in test
2026-01-06 14:53:20 +09:00
0120d69caa autogen: avcodec (and simplify workflow) (#14031)
* simplify autogen workflow and add avcodec verification

- Consolidate all regeneration into single steps (delete + import)
- Remove continue-on-error and individual diff checks
- Use git diff at end to catch all differences
- Show artifact URL in failure message
- Add avcodec.py verification

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <[email protected]>

* patch avcodec

---------

Co-authored-by: Claude Opus 4.5 <[email protected]>
2026-01-05 23:30:25 -05:00
George HotzandGitHub 20653d2996 assembly/amd: make pdf.py code shine (#14029)
* assembly/amd: make pdf.py code shine

* no merge

* pdf2 is the future

* something

* regen enums

* test

* work

* remove junk

* write

* pcode extraction

* pdf2 passes all tests

* simplify

* simpler pdf

* late filter

* remove hacks

* simplify pdf2.py

* field type

* remove defaults

* don't export srcenum

* simple pdf.py

* simpler

* cleaner

* less hack in PDF
2026-01-05 18:49:40 -08:00
qazalandGitHub ea7b149ca5 viz command line tool (#14030) 2026-01-06 10:19:47 +09:00
sirhcmandGitHub f86c728440 load libclang as 'libclang.so' too (#14028) 2026-01-05 16:56:16 -05:00
chenyuandGitHub eda6a73897 clean up canonicalize_device (#14027)
centralize the type check
2026-01-05 10:29:55 -05:00
chenyuandGitHub ce464b147a clean up comments that mentioned outdated terms (#14026)
no MultiLazyBuffer and no ShapeTracker in comments
2026-01-05 09:42:58 -05:00
chenyuandGitHub 83063cc3e4 onnx TensorScatter (#14024) 2026-01-05 09:05:22 -05:00
chenyuandGitHub 9497ec00f2 fix onnx attention permute (#14025)
* fix onnx attention permute

* skip test_attention_4d_fp16_cpu too
2026-01-05 08:58:50 -05:00
qazalandGitHub 5cff5698f7 viz: g key toggles graph and text view (#14023) 2026-01-05 22:41:45 +09:00
chenyuandGitHub 7a81a3cb98 more passed onnx tests (#14022) 2026-01-05 07:46:27 -05:00
kim yongjinandGitHub 34fe105386 remove unused LazySeq (#14020) 2026-01-05 07:38:33 -05:00
qazalandGitHub 4f2f38bf64 viz: split cfg and table render (#14021) 2026-01-05 20:59:08 +09:00
nimlgenandGitHub 70405b4f3c am_smi: mi350 (#14018) 2026-01-05 13:10:56 +03:00
b2a0b9c551 autogen: dump patch in CI (#14010)
* autogen: don't fast-fail, produce patch artifact on differences

All verification steps now use continue-on-error to run completely.
Each job generates a patch artifact containing all differences found.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <[email protected]>

* add gen from header test

* fix tests

* fail if diff

* add forward decl autogen test

* remove confusing/wrong comments

* macos unittests set LIBCLANG_PATH

---------

Co-authored-by: Claude Sonnet 4.5 <[email protected]>
2026-01-04 22:38:12 -05:00
chenyuandGitHub aae08b20e0 enable passed onnx tests (#14017) 2026-01-04 22:12:50 -05:00
chenyuandGitHub 785d04d127 simpler einsum (#14014) 2026-01-04 20:38:59 -05:00
chenyuandGitHub f6a78a29e0 support einsum trace (#14012)
* support einsum trace

* test_einsum_scalar_cpu
2026-01-04 19:27:27 -05:00
George HotzandGitHub 404eed6172 assembly/amd: improve tests for asm (#14007)
* assembly/amd: improve tests for asm

* upd

* skip

* tests

* re bug

* more passing

* cleanups

* cdna fixups

* improve tests, better CDNA parsing

* fix CI

* no defs

* simpler

* all pass

* from pdf

* regen
2026-01-04 15:14:08 -08:00
wozeparrotandGitHub f550f9204c fa: failing test for bwd jit (#14009)
* tk: failing test for bwd jit

* feat: mark expectedFailure

* clean: spaces
2026-01-04 16:57:43 -05:00
George HotzandGitHub 7abf4591ba use bitsize on dtype (#14011)
* use bitsize on dtype [pr]

* bitsize

* bitsize in js export, but might be wrong

* reverts

* revert that
2026-01-04 12:16:21 -08:00
chenyuandGitHub cfb8bf5814 faster image load (#13977)
sometimes image load does not need to init with NAN
2026-01-04 13:09:59 -05:00
George HotzandGitHub 7ebda28692 assembly/amd: add CDNA support to asm (#13982)
* add CDNA support

* more cdna tests

* something

* fix more stuff

* more work

* simpler

* simplier

* cdna

* disasm

* less skip

* fixes

* simpler
2026-01-04 08:53:56 -08:00
chenyuandGitHub ad041416ca delete unused rewrite rule [pr] (#14006) 2026-01-04 09:48:52 -05:00
nimlgenandGitHub bf356ae996 am: mi300 48bit address space (#14004)
* am: mi300 48bit address space

* fix
2026-01-04 15:19:25 +03:00
nimlgenandGitHub 606786e152 am: do not sleep for each hive node during resets (#14003) 2026-01-04 14:02:11 +03:00
George HotzandGitHub 34ea053b26 assembly/amd: clean up pcode, jit pcode instead of static (#14001)
* assembly/amd: clean up pcode

* regen

* lil

* jit the pcode

* sendmsg

* cleanups

* inst prefetch lol
2026-01-03 23:06:15 -08:00
kamilisjonandGitHub 280790e438 Reuse toposort in recursive_property (#13993) 2026-01-03 22:04:13 -08:00
kamilisjonandGitHub 9a9564118c [pr] Delete reverse_toposort (#13987)
* Delete reverse_toposort

* Update comment and profiler name

* Update profiler name
2026-01-03 22:03:44 -08:00
George HotzandGitHub 8328511808 assembly/amd: make the emu.py code shine (#13996)
* assembly/amd: make the code shine

* lil clean

* reg back in pcode

* cleanups

* gen fma_mix

* no writelane hacks

* fn cleanup

* dead vgpr_write

* readable

* smem

* cleanup bench_emu

* speedups

* simpler and faster

* direct inst._fn

* split fxn

* Revert "simpler and faster"

This reverts commit e85f6594b3.

* move lds to wavestate

* dispatcher

* pc in dispatch

* literal isn't wavestate

* cleanups + program

* one readlane

* exec_vop3sd in exec_vop

* cleaner exec_vopd

* fully merge VOP3P

* no special paths

* no SliceProxy

* low=0

* no bigint

* failing tests

* fma on python 3.13
2026-01-03 20:33:09 -08:00
qazalandGitHub bdb421f13e process_replay: passthrough sink arg for Ops.PROGRAM input (#14000) 2026-01-04 13:09:39 +09:00
GalaxandGitHub 66caa9fe1d fix: library linking for fedora systems (#13999) 2026-01-03 17:40:56 -08:00
chenyuandGitHub 8003db2a28 test case of NOOP store load folding (#13997) 2026-01-03 14:39:26 -05:00
chenyuandGitHub c1b8644a3f test removing expander rules [pr] (#13994) 2026-01-03 12:38:01 -05:00
sirhcmandGitHub 35c2870b1f gate image_conv2d pitch hacks on IMAGE==1 (#13995)
* gate image_conv2d pitch hacks on IMAGE==1

* fix opencl image copies

* cleanup
2026-01-03 12:27:31 -05:00
nimlgenandGitHub a49924a0e9 hcq: _sleep report status (#13992)
* hcq: _sleep report status

* msg

* print all
2026-01-03 14:28:28 +03:00
nimlgenandGitHub 3b354bc11f hcq: better queue managment (#13991) 2026-01-03 13:11:15 +03:00
nimlgenandGitHub efb2ae87c6 hcq sync aql (#13756)
* hcq sync aql

* w
2026-01-03 12:59:24 +03:00
qazalandGitHub bd55507ee4 RDNA3 fp16 assembly gemm 85 TFLOPS (#13990) 2026-01-03 18:34:23 +09:00
wozeparrotandGitHub 6242a9d151 tk: no global copy and clear ranges (#13988) 2026-01-02 23:45:15 -08:00
wozeparrotandGitHub 9f082e8e25 fa: split kv bwd into 2 kernels (#13981) 2026-01-02 18:45:51 -08:00
qazalandGitHub 2cc64d71b0 simplify mi350x gemm / viz asm tests (#13984)
* mi350x gemm cleanup

* asm tests work

* simpler asm tests
2026-01-03 11:11:07 +09:00
chenyuandGitHub 7cbafb2ef1 update hypothesis min version (#13983)
there was a local_constants perf regression that made hypothesis related tests slow
2026-01-02 21:01:57 -05:00
sirhcmandGitHub 9dc524536f IMAGE=1 creates "dynamic" images (#13769)
* remove image from BufferSpec

* cl tiny_gemm (64) works

* mypy

* padding

* openpilot CL

* reshape properly

* remove extra qcom checks

* pad output

* mypy

* update compile test

* move undo

* TestImageCopy valid images

* TestImageRealization valid images

* TestImageDType valid images

* cleanups

* test_renderer_failures

* ruff

* mypy

* simplify ops_qcom

* bump step time

* Revert "bump step time"

This reverts commit 75a037c7d0.

* "dynamic textures" are optional

* a start

* IMAGE=1 works, no FLOAT16

* fast but wrong

* mypy

* some fixes

* better

* works

* refactor

* oops
2026-01-02 16:22:39 -05:00
sirhcmandGitHub 61dc70f1a8 add driving_vision IMAGE=1 benchmark (#13979) 2026-01-02 13:58:27 -05:00
George HotzandGitHub 0e282025ff assembly/amd: split test_emu into hw tests (#13966)
* assmebly/amd: split test_emu into hw tests

* hw tests

* bugfixes

* more tests and fix
2026-01-02 08:04:56 -08:00
chenyuandGitHub 2e2b5fed12 fix misspellings (#13976) 2026-01-02 10:37:38 -05:00
nietrasandGitHub f49e4714af Fix spelling errors in README for AMD assembly (#13975) 2026-01-02 10:15:20 -05:00
b1tgandGitHub a78fcc55a4 amd tc 1616128 (#13439)
* amd tc 1616128

* fix test

* remove hardcoded check in test
2026-01-02 09:01:05 -05:00
chenyuandGitHub fcbb896e05 remove unused to_struct [pr] (#13973) 2026-01-02 08:54:57 -05:00
nimlgenandGitHub ff7853a65a am: fix aid doorbells (#13971) 2026-01-02 15:53:44 +03:00
nimlgenandGitHub 42abb0586c am: fix aid doorbells (#13972) 2026-01-02 15:53:13 +03:00
nimlgenandGitHub ebbaad6bfd am: enable all sdma engines (#13970) 2026-01-02 15:25:15 +03:00
qazalandGitHub 5f52266225 mi350x gemm: use Tensor.custom_kernel in asm test (#13969)
* mi350x gemm: use Tensor.custom_kernel in asm test

* A @ B for baseline
2026-01-02 18:30:50 +09:00
George HotzandGitHub 5a1a561e0f assembly/amd: rdna4 autogen (#13967)
* assembly/amd: add pcode ds ops

* refactors

* fix ds op

* update autogen

* fix flat bug

* more tests

* fix emu test

* that's a hack

* generic

* fix all tests

* two tests

* fix test failure

* better

* remove __all__

* assembly/amd: fix autogen for RDNA4
2026-01-01 23:12:18 -05:00
wozeparrotandGitHub b27527f05a fix: missed inner tracked range (#13964) 2026-01-01 18:09:57 -08:00
wozeparrotandGitHub ecbac8a338 tk: fa cleanups + causal test (#13963) 2026-01-01 18:05:00 -08:00
chenyuandGitHub af0392efea only set DiskDevice.size if it opens successfully (#13962) 2026-01-01 19:33:26 -05:00
chenyuandGitHub e036d6df89 properly fix DiskDevice reuse (#13961) 2026-01-01 18:08:23 -05:00
George HotzandGitHub dfb813b760 assembly/amd: add pcode ds ops (#13939)
* assembly/amd: add pcode ds ops

* refactors

* fix ds op

* update autogen

* fix flat bug

* more tests

* fix emu test

* that's a hack

* generic

* fix all tests

* two tests

* fix test failure

* better

* remove __all__
2026-01-01 16:24:13 -05:00
chenyuandGitHub cb7c76a3bd update test_fuzz_failure to not contruct full UOp (#13960) 2026-01-01 15:09:58 -05:00
chenyuandGitHub 51398edf9c fix indirect import (#13958)
also deleted old external tests
2026-01-01 14:22:45 -05:00
chenyuandGitHub 8e416df438 simpler InvalidType [pr] (#13957)
simpler singleton pattern
2026-01-01 13:55:51 -05:00
nimlgenandGitHub b8ea0d779c am: remove pipe, queue from setup_ring (#13947) 2026-01-01 21:06:41 +03:00
chenyuandGitHub 4d5c4d256d update tqdm for edge case (#13956)
1.00kit/s and not 1000it/s for value 999.5
2026-01-01 11:37:26 -05:00
chenyuandGitHub ed222070f7 update xlog2 fp16 decomp to not use fp32 (#13955) 2026-01-01 11:18:29 -05:00
chenyuandGitHub ce84a23142 remove tee in benchmark (#13954) 2026-01-01 10:55:36 -05:00
24723327ac fix tc_up in search (#13438)
* tensor_core is missing from Scheduler

* test upcast max

---------

Co-authored-by: chenyu <[email protected]>
2026-01-01 10:25:08 -05:00
qazalandGitHub 9726500de8 enable using assembly in Tensor.custom_kernel (#13895) 2026-01-02 00:12:01 +09:00
qazalandGitHub c0f52c9dcb split assembly gemm to per arch directory (#13953) 2026-01-02 00:10:22 +09:00
chenyuandGitHub c69470be52 fix test_symbolic_arange_sym_step (#13952) 2026-01-01 09:41:07 -05:00
chenyuandGitHub b91b46091c delete test_tensor_uop (#13951)
old test for shape tracker. also update tests that refer shapetracker

names
2026-01-01 09:25:05 -05:00
chenyuandGitHub 17ef4af72c new ceildiv that fixed symbolic conv (#13944)
* new ceildiv that fixed symbolic conv

* smaller test case
2026-01-01 09:02:41 -05:00
qazalandGitHub 6a5430ab00 correct args order in mi350x gemm (#13949) 2026-01-01 23:01:46 +09:00
chenyuandGitHub baff10d32c clean up Tensor.svd slices (#13948) 2026-01-01 08:18:45 -05:00
nimlgenandGitHub 1c5ed8e8b5 am: remove doorbells from setup_ring (#13946) 2026-01-01 14:39:21 +03:00
haofeiandGitHub 526fd4ec71 Fix SVD rank‑1 Jacobi rotation when tau == 0 (#13945) 2026-01-01 00:30:18 -05:00
haofeiandGitHub 20777f30b9 Fix QR/SVD NaNs on zero/orthogonal inputs (#13943) 2025-12-31 23:40:09 -05:00
chenyuandGitHub 0ed58c1fcd clean up some functions in helpers [pr] (#13942) 2025-12-31 18:29:16 -05:00
chenyuandGitHub e2987001ee unify pre-commit mypy and ci mypy (#13940) 2025-12-31 17:51:51 -05:00
chenyuandGitHub 8bf7c9c1d2 no-op cleanups for ptx [pr] (#13938) 2025-12-31 17:28:39 -05:00
255 changed files with 149288 additions and 160066 deletions
+53 -93
View File
@@ -14,10 +14,12 @@ on:
paths:
- 'tinygrad/runtime/autogen/**/*'
- 'tinygrad/runtime/support/autogen.py'
- '.github/workflows/autogen.yml'
workflow_dispatch:
paths:
- 'tinygrad/runtime/autogen/**/*'
- 'tinygrad/runtime/support/autogen.py'
- '.github/workflows/autogen.yml'
jobs:
autogen:
@@ -39,102 +41,35 @@ jobs:
pydeps: 'pyyaml mako'
- name: Install autogen support packages
run: sudo apt-get install -y --no-install-recommends libclang-20-dev llvm-20-dev hip-dev libusb-1.0-0-dev
- name: Verify OpenCL autogen
- name: Regenerate autogen files
run: |
mv tinygrad/runtime/autogen/opencl.py /tmp/opencl.py.bak
find tinygrad/runtime/autogen -type f -name "*.py" -not -name "__init__.py" -not -name "comgr_3.py" -not -name "metal.py" -not -name "libclang.py" -delete
python3 -c "from tinygrad.runtime.autogen import opencl"
diff /tmp/opencl.py.bak tinygrad/runtime/autogen/opencl.py
- name: Verify CUDA autogen
run: |
mv tinygrad/runtime/autogen/cuda.py /tmp/cuda.py.bak
mv tinygrad/runtime/autogen/nvrtc.py /tmp/nvrtc.py.bak
mv tinygrad/runtime/autogen/nvjitlink.py /tmp/nvjitlink.py.bak
mv tinygrad/runtime/autogen/nv_570.py /tmp/nv_570.py.bak
mv tinygrad/runtime/autogen/nv.py /tmp/nv.py.bak
python3 -c "from tinygrad.runtime.autogen import cuda, nvrtc, nvjitlink, nv_570, nv"
diff /tmp/cuda.py.bak tinygrad/runtime/autogen/cuda.py
diff /tmp/nvrtc.py.bak tinygrad/runtime/autogen/nvrtc.py
diff /tmp/nvjitlink.py.bak tinygrad/runtime/autogen/nvjitlink.py
diff /tmp/nv_570.py.bak tinygrad/runtime/autogen/nv_570.py
diff /tmp/nv.py.bak tinygrad/runtime/autogen/nv.py
- name: Verify AMD autogen
run: |
mv tinygrad/runtime/autogen/comgr.py /tmp/comgr.py.bak
mv tinygrad/runtime/autogen/hsa.py /tmp/hsa.py.bak
mv tinygrad/runtime/autogen/hip.py /tmp/hip.py.bak
mv tinygrad/runtime/autogen/amd_gpu.py /tmp/amd_gpu.py.bak
mv tinygrad/runtime/autogen/sqtt.py /tmp/sqtt.py.bak
mv tinygrad/runtime/autogen/rocprof.py /tmp/rocprof.py.bak
mv tinygrad/runtime/autogen/am/am.py /tmp/am_am.py.bak
mv tinygrad/runtime/autogen/am/pm4_soc15.py /tmp/am_pm4_soc15.py.bak
mv tinygrad/runtime/autogen/am/pm4_nv.py /tmp/am_pm4_nv.py.bak
mv tinygrad/runtime/autogen/am/sdma_4_0_0.py /tmp/am_sdma_4_0_0.py.bak
mv tinygrad/runtime/autogen/am/sdma_5_0_0.py /tmp/am_sdma_5_0_0.py.bak
mv tinygrad/runtime/autogen/am/sdma_6_0_0.py /tmp/am_sdma_6_0_0.py.bak
mv tinygrad/runtime/autogen/am/smu_v13_0_0.py /tmp/am_smu_v13_0_0.py.bak
mv tinygrad/runtime/autogen/am/smu_v14_0_2.py /tmp/am_smu_v14_0_2.py.bak
python3 -c "from tinygrad.runtime.autogen import comgr, hsa, hip, amd_gpu, sqtt, rocprof; from tinygrad.runtime.autogen.am import am, pm4_soc15, pm4_nv, sdma_4_0_0, sdma_5_0_0, sdma_6_0_0, smu_v13_0_0, smu_v14_0_2"
diff /tmp/comgr.py.bak tinygrad/runtime/autogen/comgr.py
diff /tmp/hsa.py.bak tinygrad/runtime/autogen/hsa.py
diff /tmp/hip.py.bak tinygrad/runtime/autogen/hip.py
diff /tmp/amd_gpu.py.bak tinygrad/runtime/autogen/amd_gpu.py
diff /tmp/sqtt.py.bak tinygrad/runtime/autogen/sqtt.py
diff /tmp/rocprof.py.bak tinygrad/runtime/autogen/rocprof.py
diff /tmp/am_am.py.bak tinygrad/runtime/autogen/am/am.py
diff /tmp/am_pm4_soc15.py.bak tinygrad/runtime/autogen/am/pm4_soc15.py
diff /tmp/am_pm4_nv.py.bak tinygrad/runtime/autogen/am/pm4_nv.py
diff /tmp/am_sdma_4_0_0.py.bak tinygrad/runtime/autogen/am/sdma_4_0_0.py
diff /tmp/am_sdma_5_0_0.py.bak tinygrad/runtime/autogen/am/sdma_5_0_0.py
diff /tmp/am_sdma_6_0_0.py.bak tinygrad/runtime/autogen/am/sdma_6_0_0.py
diff /tmp/am_smu_v13_0_0.py.bak tinygrad/runtime/autogen/am/smu_v13_0_0.py
diff /tmp/am_smu_v14_0_2.py.bak tinygrad/runtime/autogen/am/smu_v14_0_2.py
- name: Verify Linux autogen
run: |
mv tinygrad/runtime/autogen/libc.py /tmp/libc.py.bak
mv tinygrad/runtime/autogen/kfd.py /tmp/kfd.py.bak
mv tinygrad/runtime/autogen/io_uring.py /tmp/io_uring.py.bak
mv tinygrad/runtime/autogen/ib.py /tmp/ib.py.bak
mv tinygrad/runtime/autogen/pci.py /tmp/pci.py.bak
mv tinygrad/runtime/autogen/vfio.py /tmp/vfio.py.bak
python3 -c "from tinygrad.runtime.autogen import cuda, nvrtc, nvjitlink, nv_570, nv_580, nv"
python3 -c "from tinygrad.runtime.autogen import comgr, hsa, hip, amd_gpu, sqtt, rocprof, amdgpu_kd"
python3 -c "from tinygrad.runtime.autogen.am import am, pm4_soc15, pm4_nv, sdma_4_0_0, sdma_5_0_0, sdma_6_0_0, smu_v13_0_0, smu_v13_0_6, smu_v14_0_2"
python3 -c "from tinygrad.runtime.autogen import libc, kfd, io_uring, ib, pci, vfio"
diff /tmp/libc.py.bak tinygrad/runtime/autogen/libc.py
diff /tmp/kfd.py.bak tinygrad/runtime/autogen/kfd.py
diff /tmp/io_uring.py.bak tinygrad/runtime/autogen/io_uring.py
diff /tmp/ib.py.bak tinygrad/runtime/autogen/ib.py
diff /tmp/pci.py.bak tinygrad/runtime/autogen/pci.py
diff /tmp/vfio.py.bak tinygrad/runtime/autogen/vfio.py
- name: Verify LLVM autogen
run: |
mv tinygrad/runtime/autogen/llvm.py /tmp/llvm.py.bak
python3 -c "from tinygrad.runtime.autogen import llvm"
diff /tmp/llvm.py.bak tinygrad/runtime/autogen/llvm.py
- name: Verify WebGPU autogen
run: |
mv tinygrad/runtime/autogen/webgpu.py /tmp/webgpu.py.bak
python3 -c "from tinygrad.runtime.autogen import webgpu"
diff /tmp/webgpu.py.bak tinygrad/runtime/autogen/webgpu.py
- name: Verify Qualcomm autogen
run: |
mv tinygrad/runtime/autogen/kgsl.py /tmp/kgsl.py.bak
mv tinygrad/runtime/autogen/qcom_dsp.py /tmp/qcom_dsp.py.bak
python3 -c "from tinygrad.runtime.autogen import kgsl, qcom_dsp"
diff /tmp/kgsl.py.bak tinygrad/runtime/autogen/kgsl.py
diff /tmp/qcom_dsp.py.bak tinygrad/runtime/autogen/qcom_dsp.py
- name: Verify libusb autogen
run: |
mv tinygrad/runtime/autogen/libusb.py /tmp/libusb.py.bak
python3 -c "from tinygrad.runtime.autogen import libusb"
diff /tmp/libusb.py.bak tinygrad/runtime/autogen/libusb.py
- name: Verify mesa autogen
run: |
mv tinygrad/runtime/autogen/mesa.py /tmp/mesa.py.bak
python3 -c "from tinygrad.runtime.autogen import mesa"
diff /tmp/mesa.py.bak tinygrad/runtime/autogen/mesa.py
- name: Verify libclang autogen
run: |
cp tinygrad/runtime/autogen/libclang.py /tmp/libclang.py.bak
python3 -c "from tinygrad.runtime.autogen import avcodec"
REGEN=1 python3 -c "from tinygrad.runtime.autogen import libclang"
diff /tmp/libclang.py.bak tinygrad/runtime/autogen/libclang.py
- name: Check for differences
run: |
if ! git diff --quiet; then
git diff > autogen-ubuntu.patch
echo "Autogen files out of date. Apply patch from: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}#artifacts"
exit 1
fi
- name: Upload patch artifact
if: failure()
uses: actions/upload-artifact@v4
with:
name: autogen-ubuntu-patch
path: autogen-ubuntu.patch
autogen-mac:
name: In-tree Autogen (macos)
runs-on: macos-14
@@ -146,11 +81,24 @@ jobs:
uses: ./.github/actions/setup-tinygrad
with:
llvm: 'true'
- name: Verify macos autogen
- name: Regenerate autogen files
run: |
mv tinygrad/runtime/autogen/metal.py /tmp/metal.py.bak
rm tinygrad/runtime/autogen/metal.py
LIBCLANG_PATH=/opt/homebrew/opt/llvm@20/lib/libclang.dylib python3 -c "from tinygrad.runtime.autogen import metal"
diff /tmp/metal.py.bak tinygrad/runtime/autogen/metal.py
- name: Check for differences
run: |
if ! git diff --quiet; then
git diff > autogen-macos.patch
echo "Autogen files out of date. Apply patch from: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}#artifacts"
exit 1
fi
- name: Upload patch artifact
if: failure()
uses: actions/upload-artifact@v4
with:
name: autogen-macos-patch
path: autogen-macos.patch
autogen-comgr-3:
name: In-tree Autogen (comgr 3)
runs-on: ubuntu-24.04
@@ -169,8 +117,20 @@ jobs:
echo -e 'Package: *\nPin: release o=repo.radeon.com\nPin-Priority: 600' | sudo tee /etc/apt/preferences.d/rocm-pin-600
sudo apt -qq update || true
sudo apt-get install -y --no-install-recommends libclang-20-dev comgr
- name: Verify comgr (3) autogen
- name: Regenerate autogen files
run: |
mv tinygrad/runtime/autogen/comgr_3.py /tmp/comgr_3.py.bak
rm tinygrad/runtime/autogen/comgr_3.py
python3 -c "from tinygrad.runtime.autogen import comgr_3"
diff /tmp/comgr_3.py.bak tinygrad/runtime/autogen/comgr_3.py
- name: Check for differences
run: |
if ! git diff --quiet; then
git diff > autogen-comgr3.patch
echo "Autogen files out of date. Apply patch from: ${{ github.server_url }}/${{ github.repository }}/actions/runs/${{ github.run_id }}#artifacts"
exit 1
fi
- name: Upload patch artifact
if: failure()
uses: actions/upload-artifact@v4
with:
name: autogen-comgr3-patch
path: autogen-comgr3.patch
+122 -226
View File
@@ -49,19 +49,19 @@ jobs:
- name: Print macOS version
run: sw_vers
- name: Run Stable Diffusion
run: BENCHMARK_LOG=stable_diffusion JIT=1 ASSERT_MIN_STEP_TIME=720 python3.11 examples/stable_diffusion.py --fp16 --seed 0 --noshow --timing | tee sd.txt
run: BENCHMARK_LOG=stable_diffusion JIT=1 ASSERT_MIN_STEP_TIME=720 python3.11 examples/stable_diffusion.py --fp16 --seed 0 --noshow --timing
- name: Run Stable Diffusion without fp16
run: BENCHMARK_LOG=stable_diffusion_fp32 JIT=1 ASSERT_MIN_STEP_TIME=720 python3.11 examples/stable_diffusion.py --seed 0 --noshow --timing | tee sd_no_fp16.txt
run: BENCHMARK_LOG=stable_diffusion_fp32 JIT=1 ASSERT_MIN_STEP_TIME=720 python3.11 examples/stable_diffusion.py --seed 0 --noshow --timing
- name: Run Stable Diffusion v2
# TODO: very slow step time
run: BENCHMARK_LOG=stable_diffusion_v2 JIT=1 ASSERT_MIN_STEP_TIME=4500 python3.11 examples/sdv2.py --fp16 --seed 0 --noshow --timing | tee sdv2.txt
run: BENCHMARK_LOG=stable_diffusion_v2 JIT=1 ASSERT_MIN_STEP_TIME=4500 python3.11 examples/sdv2.py --fp16 --seed 0 --noshow --timing
# process replay can't capture this, the graph is too large
- name: Run SDXL
run: BENCHMARK_LOG=stable_diffusion_xl ASSERT_MIN_STEP_TIME=5000 CAPTURE_PROCESS_REPLAY=0 JIT=1 python3.11 examples/sdxl.py --seed 0 --noshow --timing | tee sdxl.txt
run: BENCHMARK_LOG=stable_diffusion_xl ASSERT_MIN_STEP_TIME=5000 CAPTURE_PROCESS_REPLAY=0 JIT=1 python3.11 examples/sdxl.py --seed 0 --noshow --timing
- name: Run model inference benchmark
run: METAL=1 NOCLANG=1 python3.11 test/external/external_model_benchmark.py
- name: Test speed vs torch
run: BIG=2 MPS=1 python3.11 test/speed/external_test_speed_v_torch.py | tee torch_speed.txt
run: BIG=2 MPS=1 python3.11 test/speed/external_test_speed_v_torch.py
- name: Test tensor cores
run: METAL=1 python3.11 test/opt/test_tensor_cores.py
- name: Test AMX tensor cores
@@ -71,84 +71,59 @@ jobs:
DEBUG=2 CPU=1 CPU_LLVM=0 AMX=1 python3.11 test/opt/test_gen_float4.py TestFloat4.test_float4_multidim_amx TestFloat4.test_float4_multidim_unaligned_load_amx
DEBUG=2 CPU=1 CPU_LLVM=1 AMX=1 python3.11 test/opt/test_gen_float4.py TestFloat4.test_float4_multidim_amx TestFloat4.test_float4_multidim_unaligned_load_amx
- name: Run Tensor Core GEMM (float)
run: DEBUG=2 SHOULD_USE_TC=1 python3.11 extra/gemm/simple_matmul.py | tee matmul.txt
run: DEBUG=2 SHOULD_USE_TC=1 python3.11 extra/gemm/simple_matmul.py
- name: Run Tensor Core GEMM (half)
run: DEBUG=2 SHOULD_USE_TC=1 HALF=1 python3.11 extra/gemm/simple_matmul.py | tee matmul_half.txt
run: DEBUG=2 SHOULD_USE_TC=1 HALF=1 python3.11 extra/gemm/simple_matmul.py
- name: Run Tensor Core GEMM (bfloat16)
run: DEBUG=2 SHOULD_USE_TC=1 BFLOAT16=1 python3.11 extra/gemm/simple_matmul.py | tee matmul_bfloat16.txt
run: DEBUG=2 SHOULD_USE_TC=1 BFLOAT16=1 python3.11 extra/gemm/simple_matmul.py
- name: Fuzz Padded Tensor Core GEMM
run: METAL=1 M_START=6 M_STOP=10 M_STEP=1 N_START=6 N_STOP=10 N_STEP=1 K_START=6 K_STOP=24 K_STEP=1 TC_OPT=2 DEBUG=2 python3.11 ./extra/gemm/fuzz_matmul.py
- name: Run LLaMA
run: |
BENCHMARK_LOG=llama_nojit JIT=0 python3.11 examples/llama.py --gen 1 --prompt "Hello." --count 10 --temperature 0 --timing | tee llama_unjitted.txt
BENCHMARK_LOG=llama JIT=1 python3.11 examples/llama.py --gen 1 --prompt "Hello." --count 10 --temperature 0 --timing | tee llama_jitted.txt
BENCHMARK_LOG=llama_nojit JIT=0 python3.11 examples/llama.py --gen 1 --prompt "Hello." --count 10 --temperature 0 --timing
BENCHMARK_LOG=llama JIT=1 python3.11 examples/llama.py --gen 1 --prompt "Hello." --count 10 --temperature 0 --timing
- name: Run LLaMA with BEAM
run: BENCHMARK_LOG=llama_beam JITBEAM=2 IGNORE_BEAM_CACHE=1 python3.11 examples/llama.py --gen 1 --prompt "Hello." --count 10 --temperature 0 --timing | tee llama_beam.txt
run: BENCHMARK_LOG=llama_beam JITBEAM=2 IGNORE_BEAM_CACHE=1 python3.11 examples/llama.py --gen 1 --prompt "Hello." --count 10 --temperature 0 --timing
- name: Run quantized LLaMA
run: |
BENCHMARK_LOG=llama_int8 python3.11 examples/llama.py --gen 1 --prompt "Hello." --count 10 --temperature 0 --timing --quantize int8 | tee llama_int8.txt
BENCHMARK_LOG=llama_nf4 python3.11 examples/llama.py --gen 1 --prompt "Hello." --count 10 --temperature 0 --timing --quantize nf4 | tee llama_nf4.txt
BENCHMARK_LOG=llama_int8 python3.11 examples/llama.py --gen 1 --prompt "Hello." --count 10 --temperature 0 --timing --quantize int8
BENCHMARK_LOG=llama_nf4 python3.11 examples/llama.py --gen 1 --prompt "Hello." --count 10 --temperature 0 --timing --quantize nf4
- name: Run quantized LLaMA3
run: |
BENCHMARK_LOG=llama3_int8 python3.11 examples/llama3.py --size 8B --temperature 0 --benchmark --quantize int8 | tee llama3_int8.txt
BENCHMARK_LOG=llama3_nf4 python3.11 examples/llama3.py --size 8B --temperature 0 --benchmark --quantize nf4 | tee llama3_nf4.txt
BENCHMARK_LOG=llama3_int8 python3.11 examples/llama3.py --size 8B --temperature 0 --benchmark --quantize int8
BENCHMARK_LOG=llama3_nf4 python3.11 examples/llama3.py --size 8B --temperature 0 --benchmark --quantize nf4
#- name: Run LLaMA 7B on 4 (virtual) GPUs
# run: python3.11 examples/llama.py --gen 1 --size 7B --shard 4 --prompt "Hello." --count 10 --temperature 0 --timing | tee llama_four_gpu.txt
# run: python3.11 examples/llama.py --gen 1 --size 7B --shard 4 --prompt "Hello." --count 10 --temperature 0 --timing
- name: Run GPT2
run: |
BENCHMARK_LOG=gpt2_nojit JIT=0 python3.11 examples/gpt2.py --prompt "Hello." --count 10 --temperature 0 --timing | tee gpt2_unjitted.txt
BENCHMARK_LOG=gpt2 JIT=1 ASSERT_MIN_STEP_TIME=13 python3.11 examples/gpt2.py --prompt "Hello." --count 10 --temperature 0 --timing | tee gpt2_jitted.txt
BENCHMARK_LOG=gpt2_nojit JIT=0 python3.11 examples/gpt2.py --prompt "Hello." --count 10 --temperature 0 --timing
BENCHMARK_LOG=gpt2 JIT=1 ASSERT_MIN_STEP_TIME=13 python3.11 examples/gpt2.py --prompt "Hello." --count 10 --temperature 0 --timing
- name: Run GPT2 w HALF
run: BENCHMARK_LOG=gpt2_half HALF=1 python3.11 examples/gpt2.py --count 10 --temperature 0 --timing | tee gpt2_half.txt
run: BENCHMARK_LOG=gpt2_half HALF=1 python3.11 examples/gpt2.py --count 10 --temperature 0 --timing
- name: Run GPT2 w HALF/BEAM
run: BENCHMARK_LOG=gpt2_half_beam HALF=1 JITBEAM=2 IGNORE_BEAM_CACHE=1 python3.11 examples/gpt2.py --count 10 --temperature 0 --timing | tee gpt2_half_beam.txt
run: BENCHMARK_LOG=gpt2_half_beam HALF=1 JITBEAM=2 IGNORE_BEAM_CACHE=1 python3.11 examples/gpt2.py --count 10 --temperature 0 --timing
- name: Run OLMoE
run: BENCHMARK_LOG=olmoe python3.11 examples/olmoe.py
- name: Train MNIST
run: time PYTHONPATH=. TARGET_EVAL_ACC_PCT=96.0 python3.11 examples/beautiful_mnist.py | tee beautiful_mnist.txt
run: time PYTHONPATH=. TARGET_EVAL_ACC_PCT=96.0 python3.11 examples/beautiful_mnist.py
# NOTE: this is failing in CI. it is not failing on my machine and I don't really have a way to debug it
# the error is "RuntimeError: Internal Error (0000000e:Internal Error)"
#- name: Run 10 CIFAR training steps
# run: BENCHMARK_LOG=cifar_10steps JIT=1 ASSERT_MIN_STEP_TIME=3000 STEPS=10 python3.11 examples/hlb_cifar10.py | tee train_cifar.txt
# run: BENCHMARK_LOG=cifar_10steps JIT=1 ASSERT_MIN_STEP_TIME=3000 STEPS=10 python3.11 examples/hlb_cifar10.py
#- name: Run 10 CIFAR training steps w HALF
# run: BENCHMARK_LOG=cifar_10steps_half JIT=2 ASSERT_MIN_STEP_TIME=3000 STEPS=10 DEFAULT_FLOAT=HALF python3.11 examples/hlb_cifar10.py | tee train_cifar_half.txt
# run: BENCHMARK_LOG=cifar_10steps_half JIT=2 ASSERT_MIN_STEP_TIME=3000 STEPS=10 DEFAULT_FLOAT=HALF python3.11 examples/hlb_cifar10.py
#- name: Run 10 CIFAR training steps w BF16
# run: STEPS=10 DEFAULT_FLOAT=BFLOAT16 python3.11 examples/hlb_cifar10.py | tee train_cifar_bf16.txt
# run: STEPS=10 DEFAULT_FLOAT=BFLOAT16 python3.11 examples/hlb_cifar10.py
# TODO: too slow
# - name: Run 10 CIFAR training steps w winograd
# run: BENCHMARK_LOG=cifar_10steps_wino JIT=1 ASSERT_MIN_STEP_TIME=150 WINO=1 STEPS=10 python3.11 examples/hlb_cifar10.py | tee train_cifar_wino.txt
# run: BENCHMARK_LOG=cifar_10steps_wino JIT=1 ASSERT_MIN_STEP_TIME=150 WINO=1 STEPS=10 python3.11 examples/hlb_cifar10.py
- uses: actions/upload-artifact@v4
with:
name: Speed (Mac)
path: |
onnx_inference_speed.csv
torch_speed.txt
llama_unjitted.txt
llama_jitted.txt
llama_beam.txt
llama_int8.txt
llama_nf4.txt
llama3_int8.txt
llama3_nf4.txt
llama_four_gpu.txt
gpt2_unjitted.txt
gpt2_jitted.txt
gpt2_half.txt
gpt2_half_beam.txt
matmul.txt
matmul_half.txt
matmul_bfloat16.txt
sd.txt
sd_no_fp16.txt
sdv2.txt
sdxl.txt
beautiful_mnist.txt
train_cifar.txt
train_cifar_half.txt
train_cifar_bf16.txt
train_cifar_wino.txt
- name: Run process replay tests
run: cp test/external/process_replay/process_replay.py ./process_replay.py && git fetch origin master && git -c advice.detachedHead=false checkout origin/master && PYTHONPATH=. python3.11 process_replay.py
@@ -215,7 +190,7 @@ jobs:
- name: Run model inference benchmark
run: NV=1 CAPTURE_PROCESS_REPLAY=0 NOCLANG=1 python3 test/external/external_model_benchmark.py
- name: Test speed vs torch
run: NV=1 CAPTURE_PROCESS_REPLAY=0 HALF=1 BIG=2 TORCHCUDA=1 python3 test/speed/external_test_speed_v_torch.py | tee torch_speed.txt
run: NV=1 CAPTURE_PROCESS_REPLAY=0 HALF=1 BIG=2 TORCHCUDA=1 python3 test/speed/external_test_speed_v_torch.py
- name: Test speed vs theoretical
run: NV=1 IGNORE_BEAM_CACHE=1 CCACHE=0 BEAM_DEBUG=1 DEBUG=1 python -m pytest -rA test/external/speed_v_theoretical.py --durations=20
- name: Test benchmark allreduce
@@ -226,79 +201,58 @@ jobs:
NV=1 NV_PTX=1 ALLOW_TF32=1 python3 test/opt/test_tensor_cores.py
- name: Run Tensor Core GEMM (CUDA)
run: |
CUDA=1 SHOULD_USE_TC=1 HALF=1 DEBUG=2 python3 extra/gemm/simple_matmul.py | tee matmul.txt
CUDA=1 SHOULD_USE_TC=1 BFLOAT16=1 DEBUG=2 python3 extra/gemm/simple_matmul.py | tee matmul_bfloat16.txt
CUDA=1 SHOULD_USE_TC=1 ALLOW_TF32=1 DEBUG=2 ATOL=2e-2 python3 extra/gemm/simple_matmul.py | tee matmul_tf32.txt
CUDA=1 SHOULD_USE_TC=1 FP8E4M3=1 DEBUG=2 python3 extra/gemm/simple_matmul.py | tee matmul_fp8.txt
CUDA=1 SHOULD_USE_TC=1 HALF=1 DEBUG=2 python3 extra/gemm/simple_matmul.py
CUDA=1 SHOULD_USE_TC=1 BFLOAT16=1 DEBUG=2 python3 extra/gemm/simple_matmul.py
CUDA=1 SHOULD_USE_TC=1 ALLOW_TF32=1 DEBUG=2 ATOL=2e-2 python3 extra/gemm/simple_matmul.py
CUDA=1 SHOULD_USE_TC=1 FP8E4M3=1 DEBUG=2 python3 extra/gemm/simple_matmul.py
- name: Run Tensor Core GEMM (PTX)
run: NV=1 NV_PTX=1 SHOULD_USE_TC=1 HALF=1 DEBUG=2 python3 extra/gemm/simple_matmul.py | tee matmul_ptx.txt
run: NV=1 NV_PTX=1 SHOULD_USE_TC=1 HALF=1 DEBUG=2 python3 extra/gemm/simple_matmul.py
- name: Run Tensor Core GEMM (NV)
run: NV=1 SHOULD_USE_TC=1 HALF=1 DEBUG=2 python3 extra/gemm/simple_matmul.py | tee matmul_nv.txt
run: NV=1 SHOULD_USE_TC=1 HALF=1 DEBUG=2 python3 extra/gemm/simple_matmul.py
- name: Test NV=1
run: DEBUG=2 NV=1 python -m pytest -rA test/test_tiny.py
- name: Test CUDA=1
run: DEBUG=2 CUDA=1 python -m pytest -rA test/test_tiny.py
- name: Run Stable Diffusion
run: BENCHMARK_LOG=stable_diffusion NV=1 python3 examples/stable_diffusion.py --fp16 --seed 0 --noshow --timing | tee sd.txt
run: BENCHMARK_LOG=stable_diffusion NV=1 python3 examples/stable_diffusion.py --fp16 --seed 0 --noshow --timing
# TODO: too slow
# - name: Run SDXL
# run: BENCHMARK_LOG=stable_diffusion_xl ASSERT_MIN_STEP_TIME=2000 CAPTURE_PROCESS_REPLAY=0 NV=1 CAPTURE_PROCESS_REPLAY=0 python3 examples/sdxl.py --seed 0 --noshow --timing | tee sdxl.txt
# run: BENCHMARK_LOG=stable_diffusion_xl ASSERT_MIN_STEP_TIME=2000 CAPTURE_PROCESS_REPLAY=0 NV=1 CAPTURE_PROCESS_REPLAY=0 python3 examples/sdxl.py --seed 0 --noshow --timing
- name: Run LLaMA
run: |
BENCHMARK_LOG=llama_nojit NV=1 JIT=0 python3 examples/llama.py --gen 1 --prompt "Hello." --count 10 --temperature 0 --timing | tee llama_unjitted.txt
BENCHMARK_LOG=llama NV=1 JIT=1 python3 examples/llama.py --gen 1 --prompt "Hello." --count 10 --temperature 0 --timing | tee llama_jitted.txt
BENCHMARK_LOG=llama_nojit NV=1 JIT=0 python3 examples/llama.py --gen 1 --prompt "Hello." --count 10 --temperature 0 --timing
BENCHMARK_LOG=llama NV=1 JIT=1 python3 examples/llama.py --gen 1 --prompt "Hello." --count 10 --temperature 0 --timing
- name: Run LLaMA with BEAM
run: BENCHMARK_LOG=llama_beam NV=1 JITBEAM=2 IGNORE_BEAM_CACHE=1 python3 examples/llama.py --gen 1 --prompt "Hello." --count 10 --temperature 0 --timing | tee llama_beam.txt
run: BENCHMARK_LOG=llama_beam NV=1 JITBEAM=2 IGNORE_BEAM_CACHE=1 python3 examples/llama.py --gen 1 --prompt "Hello." --count 10 --temperature 0 --timing
# - name: Run LLaMA 7B on 4 GPUs
# run: NV=1 CAPTURE_PROCESS_REPLAY=0 python3 examples/llama.py --gen 1 --size 7B --shard 4 --prompt "Hello." --count 10 --temperature 0 --timing | tee llama_four_gpu.txt
# run: NV=1 CAPTURE_PROCESS_REPLAY=0 python3 examples/llama.py --gen 1 --size 7B --shard 4 --prompt "Hello." --count 10 --temperature 0 --timing
# - name: Run LLaMA 7B on 6 GPUs
# run: NV=1 CAPTURE_PROCESS_REPLAY=0 python3 examples/llama.py --gen 1 --size 7B --shard 6 --prompt "Hello." --count 10 --temperature 0 --timing | tee llama_six_gpu.txt
# run: NV=1 CAPTURE_PROCESS_REPLAY=0 python3 examples/llama.py --gen 1 --size 7B --shard 6 --prompt "Hello." --count 10 --temperature 0 --timing
- name: Run LLaMA-3 8B BEAM
run: BENCHMARK_LOG=llama3_beam NV=1 JITBEAM=2 IGNORE_BEAM_CACHE=1 python3 examples/llama3.py --size 8B --model weights/LLaMA-3/8B-SF-DPO/ --benchmark --temperature 0 | tee llama3_beam.txt
run: BENCHMARK_LOG=llama3_beam NV=1 JITBEAM=2 IGNORE_BEAM_CACHE=1 python3 examples/llama3.py --size 8B --model weights/LLaMA-3/8B-SF-DPO/ --benchmark --temperature 0
- name: Run LLaMA-3 8B on 4 GPUs with BEAM
run: BENCHMARK_LOG=llama3_beam_4gpu NV=1 JITBEAM=2 IGNORE_BEAM_CACHE=1 CAPTURE_PROCESS_REPLAY=0 python3 examples/llama3.py --size 8B --shard 4 --model weights/LLaMA-3/8B-SF-DPO/ --benchmark --temperature 0 | tee llama3_four_gpu.txt
run: BENCHMARK_LOG=llama3_beam_4gpu NV=1 JITBEAM=2 IGNORE_BEAM_CACHE=1 CAPTURE_PROCESS_REPLAY=0 python3 examples/llama3.py --size 8B --shard 4 --model weights/LLaMA-3/8B-SF-DPO/ --benchmark --temperature 0
- name: Run quantized LLaMA3
run: BENCHMARK_LOG=llama3_fp8 python3 examples/llama3.py --size 8B --model weights/LLaMA-3/8B-SF-DPO/ --temperature 0 --benchmark --quantize fp8 | tee llama3_fp8.txt
run: BENCHMARK_LOG=llama3_fp8 python3 examples/llama3.py --size 8B --model weights/LLaMA-3/8B-SF-DPO/ --temperature 0 --benchmark --quantize fp8
# - name: Run LLaMA-3 8B on 6 GPUs
# run: NV=1 CAPTURE_PROCESS_REPLAY=0 python3 examples/llama3.py --size 8B --shard 6 --model weights/LLaMA-3/8B-SF-DPO/ --benchmark --temperature 0 | tee llama3_six_gpu.txt
# run: NV=1 CAPTURE_PROCESS_REPLAY=0 python3 examples/llama3.py --size 8B --shard 6 --model weights/LLaMA-3/8B-SF-DPO/ --benchmark --temperature 0
# - name: Run LLaMA-2 70B
# run: NV=1 CAPTURE_PROCESS_REPLAY=0 MAX_CONTEXT=256 python3 examples/llama.py --gen 2 --size 70B --shard 6 --prompt "Hello." --count 10 --temperature 0 --timing | tee llama_2_70B.txt
# run: NV=1 CAPTURE_PROCESS_REPLAY=0 MAX_CONTEXT=256 python3 examples/llama.py --gen 2 --size 70B --shard 6 --prompt "Hello." --count 10 --temperature 0 --timing
- name: Run Mixtral 8x7B
run: time BENCHMARK_LOG=mixtral NV=1 CAPTURE_PROCESS_REPLAY=0 python3 examples/mixtral.py --temperature 0 --count 10 --timing | tee mixtral.txt
run: time BENCHMARK_LOG=mixtral NV=1 CAPTURE_PROCESS_REPLAY=0 python3 examples/mixtral.py --temperature 0 --count 10 --timing
- name: Run GPT2
run: |
BENCHMARK_LOG=gpt2_nojit NV=1 JIT=0 python3 examples/gpt2.py --prompt "Hello." --count 10 --temperature 0 --timing | tee gpt2_unjitted.txt
BENCHMARK_LOG=gpt2 NV=1 JIT=1 ASSERT_MIN_STEP_TIME=4 python3 examples/gpt2.py --prompt "Hello." --count 10 --temperature 0 --timing | tee gpt2_jitted.txt
BENCHMARK_LOG=gpt2_nojit NV=1 JIT=0 python3 examples/gpt2.py --prompt "Hello." --count 10 --temperature 0 --timing
BENCHMARK_LOG=gpt2 NV=1 JIT=1 ASSERT_MIN_STEP_TIME=4 python3 examples/gpt2.py --prompt "Hello." --count 10 --temperature 0 --timing
- name: Run GPT2 w HALF
run: BENCHMARK_LOG=gpt2_half NV=1 HALF=1 ASSERT_MIN_STEP_TIME=6 python3 examples/gpt2.py --count 10 --temperature 0 --timing | tee gpt2_half.txt
run: BENCHMARK_LOG=gpt2_half NV=1 HALF=1 ASSERT_MIN_STEP_TIME=6 python3 examples/gpt2.py --count 10 --temperature 0 --timing
- name: Run GPT2 w HALF/BEAM
run: BENCHMARK_LOG=gpt2_half_beam NV=1 HALF=1 JITBEAM=2 IGNORE_BEAM_CACHE=1 python3 examples/gpt2.py --count 10 --temperature 0 --timing | tee gpt2_half_beam.txt
run: BENCHMARK_LOG=gpt2_half_beam NV=1 HALF=1 JITBEAM=2 IGNORE_BEAM_CACHE=1 python3 examples/gpt2.py --count 10 --temperature 0 --timing
- uses: actions/upload-artifact@v4
with:
name: Speed (NVIDIA)
path: |
onnx_inference_speed.csv
torch_speed.txt
matmul.txt
matmul_bfloat16.txt
matmul_tf32.txt
matmul_ptx.txt
matmul_nv.txt
sd.txt
sdxl.txt
llama_unjitted.txt
llama_jitted.txt
llama_beam.txt
llama3_beam.txt
llama3_four_gpu.txt
llama3_six_gpu.txt
llama3_fp8.txt
llama_2_70B.txt
mixtral.txt
gpt2_unjitted.txt
gpt2_jitted.txt
gpt2_half.txt
gpt2_half_beam.txt
- name: Run process replay tests
run: cp test/external/process_replay/process_replay.py ./process_replay.py && git fetch origin master && git -c advice.detachedHead=false checkout origin/master && PYTHONPATH=. python3 process_replay.py
@@ -337,44 +291,30 @@ jobs:
# - name: Fuzz Padded Tensor Core GEMM (PTX)
# run: NV=1 NV_PTX=1 M_START=12 M_STOP=20 M_STEP=1 N_START=6 N_STOP=10 N_STEP=1 K_START=28 K_STOP=36 K_STEP=1 HALF=1 TC_OPT=2 python3 ./extra/gemm/fuzz_matmul.py
- name: HEVC Decode Benchmark
run: VALIDATE=1 MAX_FRAMES=100 NV=1 PYTHONPATH=. python3 extra/hevc/decode.py
run: VALIDATE=1 MAX_FRAMES=100 JITBEAM=1 NV=1 PYTHONPATH=. python3 extra/hevc/decode.py
- name: Train MNIST
run: time PYTHONPATH=. NV=1 TARGET_EVAL_ACC_PCT=96.0 python3 examples/beautiful_mnist.py | tee beautiful_mnist.txt
run: time PYTHONPATH=. NV=1 TARGET_EVAL_ACC_PCT=96.0 python3 examples/beautiful_mnist.py
- name: Run 10 CIFAR training steps
run: BENCHMARK_LOG=cifar_10steps ASSERT_MIN_STEP_TIME=120 NV=1 STEPS=10 python3 examples/hlb_cifar10.py | tee train_cifar.txt
run: BENCHMARK_LOG=cifar_10steps ASSERT_MIN_STEP_TIME=120 NV=1 STEPS=10 python3 examples/hlb_cifar10.py
- name: Run 10 CIFAR training steps w HALF
run: BENCHMARK_LOG=cifar_10steps_half ASSERT_MIN_STEP_TIME=110 NV=1 STEPS=10 DEFAULT_FLOAT=HALF python3 examples/hlb_cifar10.py | tee train_cifar_half.txt
run: BENCHMARK_LOG=cifar_10steps_half ASSERT_MIN_STEP_TIME=110 NV=1 STEPS=10 DEFAULT_FLOAT=HALF python3 examples/hlb_cifar10.py
- name: Run 10 CIFAR training steps w BF16
run: BENCHMARK_LOG=cifar_10steps_bf16 ASSERT_MIN_STEP_TIME=120 NV=1 STEPS=10 DEFAULT_FLOAT=BFLOAT16 python3 examples/hlb_cifar10.py | tee train_cifar_bf16.txt
run: BENCHMARK_LOG=cifar_10steps_bf16 ASSERT_MIN_STEP_TIME=120 NV=1 STEPS=10 DEFAULT_FLOAT=BFLOAT16 python3 examples/hlb_cifar10.py
# - name: Run 10 CIFAR training steps w winograd
# run: BENCHMARK_LOG=cifar_10steps_half_wino ASSERT_MIN_STEP_TIME=350 NV=1 CAPTURE_PROCESS_REPLAY=0 WINO=1 STEPS=10 DEFAULT_FLOAT=HALF python3 examples/hlb_cifar10.py | tee train_cifar_wino.txt
# run: BENCHMARK_LOG=cifar_10steps_half_wino ASSERT_MIN_STEP_TIME=350 NV=1 WINO=1 STEPS=10 DEFAULT_FLOAT=HALF python3 examples/hlb_cifar10.py
- name: Run full CIFAR training w 1 GPU
run: time BENCHMARK_LOG=cifar NV=1 DEFAULT_FLOAT=HALF STEPS=1000 TARGET_EVAL_ACC_PCT=93.0 python3 examples/hlb_cifar10.py | tee train_cifar_one_gpu.txt
run: time BENCHMARK_LOG=cifar NV=1 DEFAULT_FLOAT=HALF STEPS=1000 TARGET_EVAL_ACC_PCT=93.0 python3 examples/hlb_cifar10.py
- name: Run full CIFAR training steps w 6 GPUS
run: time BENCHMARK_LOG=cifar_6gpu CAPTURE_PROCESS_REPLAY=0 NV=1 DEFAULT_FLOAT=HALF STEPS=350 BS=1536 GPUS=6 TARGET_EVAL_ACC_PCT=93.0 python3 examples/hlb_cifar10.py | tee train_cifar_six_gpu.txt
run: time BENCHMARK_LOG=cifar_6gpu CAPTURE_PROCESS_REPLAY=0 NV=1 DEFAULT_FLOAT=HALF STEPS=350 BS=1536 GPUS=6 TARGET_EVAL_ACC_PCT=93.0 python3 examples/hlb_cifar10.py
- name: Run MLPerf resnet eval on training data
run: time BENCHMARK_LOG=resnet_eval NV=1 MODEL=resnet python3 examples/mlperf/model_eval.py
- name: Run 10 MLPerf ResNet50 training steps (1 gpu)
run: BENCHMARK_LOG=resnet_10steps NV=1 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=256 GPUS=1 MODEL=resnet python3 examples/mlperf/model_train.py | tee train_resnet_one_gpu.txt
run: BENCHMARK_LOG=resnet_10steps NV=1 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=256 GPUS=1 MODEL=resnet python3 examples/mlperf/model_train.py
- name: Run 10 MLPerf ResNet50 training steps (6 gpu)
run: BENCHMARK_LOG=resnet_10steps_6gpu NV=1 CAPTURE_PROCESS_REPLAY=0 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=1536 GPUS=6 MODEL=resnet python3 examples/mlperf/model_train.py | tee train_resnet.txt
run: BENCHMARK_LOG=resnet_10steps_6gpu NV=1 CAPTURE_PROCESS_REPLAY=0 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=1536 GPUS=6 MODEL=resnet python3 examples/mlperf/model_train.py
- name: Run 10 MLPerf Bert training steps (6 gpu)
# TODO: remove BERT_LAYERS once scheduler is fast
run: BENCHMARK_LOG=bert_10steps_6gpu NV=1 CAPTURE_PROCESS_REPLAY=0 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=72 GPUS=6 BERT_LAYERS=2 MODEL=bert python3 examples/mlperf/model_train.py | tee train_bert.txt
- uses: actions/upload-artifact@v4
with:
name: Speed (NVIDIA Training)
path: |
beautiful_mnist.txt
train_cifar.txt
train_cifar_half.txt
train_cifar_bf16.txt
train_cifar_wino.txt
train_cifar_one_gpu.txt
train_cifar_six_gpu.txt
train_resnet.txt
train_resnet_one_gpu.txt
train_bert.txt
run: BENCHMARK_LOG=bert_10steps_6gpu NV=1 CAPTURE_PROCESS_REPLAY=0 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=72 GPUS=6 BERT_LAYERS=2 MODEL=bert python3 examples/mlperf/model_train.py
- name: Run process replay tests
run: cp test/external/process_replay/process_replay.py ./process_replay.py && git fetch origin master && git -c advice.detachedHead=false checkout origin/master && PYTHONPATH=. python3 process_replay.py
@@ -389,10 +329,12 @@ jobs:
steps:
- name: Checkout Code
uses: actions/checkout@v4
- name: Remove amdgpu
run: sudo rmmod amdgpu || true
- name: Cleanup running AM processes
run: python extra/amdpci/am_smi.py --pids --kill
- name: Setcap to python
run: ./extra/amdpci/setup_python_cap.sh
- name: Remove amd modules
run: ./extra/hcq/hcq_smi.py amd rmmod
- name: Kill stale pids
run: ./extra/hcq/hcq_smi.py amd kill_pids
#- name: Insert amdgpu
# run: sudo modprobe amdgpu
- name: Symlink models and datasets
@@ -426,7 +368,7 @@ jobs:
#- name: Test speed vs torch
# run: |
# python3 -c "import torch; print(torch.__version__)"
# LD_PRELOAD="/opt/rocm/lib/libhsa-runtime64.so" HSA=1 BIG=2 TORCHCUDA=1 python3 test/speed/external_test_speed_v_torch.py | tee torch_speed.txt
# LD_PRELOAD="/opt/rocm/lib/libhsa-runtime64.so" HSA=1 BIG=2 TORCHCUDA=1 python3 test/speed/external_test_speed_v_torch.py
- name: Test speed vs theoretical
run: AMD=1 IGNORE_BEAM_CACHE=1 CCACHE=0 BEAM_DEBUG=1 DEBUG=1 python -m pytest -rA test/external/speed_v_theoretical.py --durations=20
- name: Test tensor cores AMD_LLVM=0
@@ -437,7 +379,7 @@ jobs:
- name: Run Tensor Core GEMM (AMD)
run: |
AMD=1 SHOULD_USE_TC=1 BFLOAT16=1 DEBUG=2 python3 extra/gemm/simple_matmul.py
AMD=1 SHOULD_USE_TC=1 HALF=1 DEBUG=2 ATOL=2e-2 python3 extra/gemm/simple_matmul.py | tee matmul_amd.txt
AMD=1 SHOULD_USE_TC=1 HALF=1 DEBUG=2 ATOL=2e-2 python3 extra/gemm/simple_matmul.py
- name: Test AMD=1
run: DEBUG=2 AMD=1 python -m pytest -rA test/test_tiny.py
#- name: Test HIP=1
@@ -452,61 +394,39 @@ jobs:
- name: Test AM warm start time
run: time AMD=1 python3 test/test_tiny.py TestTiny.test_plus
- name: Run Stable Diffusion
run: BENCHMARK_LOG=stable_diffusion ASSERT_MIN_STEP_TIME=550 AMD=1 python3 examples/stable_diffusion.py --fp16 --seed 0 --noshow --timing | tee sd.txt
run: BENCHMARK_LOG=stable_diffusion ASSERT_MIN_STEP_TIME=550 AMD=1 python3 examples/stable_diffusion.py --fp16 --seed 0 --noshow --timing
- name: Run SDXL
run: BENCHMARK_LOG=stable_diffusion_xl ASSERT_MIN_STEP_TIME=3200 CAPTURE_PROCESS_REPLAY=0 AMD=1 python3 examples/sdxl.py --seed 0 --noshow --timing | tee sdxl.txt
run: BENCHMARK_LOG=stable_diffusion_xl ASSERT_MIN_STEP_TIME=3200 CAPTURE_PROCESS_REPLAY=0 AMD=1 python3 examples/sdxl.py --seed 0 --noshow --timing
- name: Run LLaMA 7B
run: |
BENCHMARK_LOG=llama_nojit AMD=1 JIT=0 python3 examples/llama.py --gen 1 --prompt "Hello." --count 10 --temperature 0 --timing | tee llama_unjitted.txt
BENCHMARK_LOG=llama AMD=1 JIT=1 python3 examples/llama.py --gen 1 --prompt "Hello." --count 10 --temperature 0 --timing | tee llama_jitted.txt
BENCHMARK_LOG=llama_nojit AMD=1 JIT=0 python3 examples/llama.py --gen 1 --prompt "Hello." --count 10 --temperature 0 --timing
BENCHMARK_LOG=llama AMD=1 JIT=1 python3 examples/llama.py --gen 1 --prompt "Hello." --count 10 --temperature 0 --timing
- name: Run LLaMA 7B with BEAM
run: BENCHMARK_LOG=llama_beam AMD=1 JITBEAM=2 IGNORE_BEAM_CACHE=1 python3 examples/llama.py --gen 1 --prompt "Hello." --count 10 --temperature 0 --timing | tee llama_beam.txt
run: BENCHMARK_LOG=llama_beam AMD=1 JITBEAM=2 IGNORE_BEAM_CACHE=1 python3 examples/llama.py --gen 1 --prompt "Hello." --count 10 --temperature 0 --timing
# - name: Run LLaMA 7B on 4 GPUs
# run: AMD=1 CAPTURE_PROCESS_REPLAY=0 python3 examples/llama.py --gen 1 --size 7B --shard 4 --prompt "Hello." --count 10 --temperature 0 --timing | tee llama_four_gpu.txt
# run: AMD=1 CAPTURE_PROCESS_REPLAY=0 python3 examples/llama.py --gen 1 --size 7B --shard 4 --prompt "Hello." --count 10 --temperature 0 --timing
# - name: Run LLaMA 7B on 6 GPUs
# run: AMD=1 CAPTURE_PROCESS_REPLAY=0 python3 examples/llama.py --gen 1 --size 7B --shard 6 --prompt "Hello." --count 10 --temperature 0 --timing | tee llama_six_gpu.txt
# run: AMD=1 CAPTURE_PROCESS_REPLAY=0 python3 examples/llama.py --gen 1 --size 7B --shard 6 --prompt "Hello." --count 10 --temperature 0 --timing
- name: Run LLaMA-3 8B BEAM
run: BENCHMARK_LOG=llama3_beam AMD=1 JITBEAM=2 IGNORE_BEAM_CACHE=1 python3 examples/llama3.py --size 8B --model weights/LLaMA-3/8B-SF-DPO/ --benchmark --temperature 0 | tee llama3_beam.txt
run: BENCHMARK_LOG=llama3_beam AMD=1 JITBEAM=2 IGNORE_BEAM_CACHE=1 python3 examples/llama3.py --size 8B --model weights/LLaMA-3/8B-SF-DPO/ --benchmark --temperature 0
- name: Run LLaMA-3 8B on 4 GPUs with BEAM
run: BENCHMARK_LOG=llama3_beam_4gpu AMD=1 JITBEAM=2 IGNORE_BEAM_CACHE=1 CAPTURE_PROCESS_REPLAY=0 python3 examples/llama3.py --size 8B --shard 4 --model weights/LLaMA-3/8B-SF-DPO/ --benchmark --temperature 0 | tee llama3_four_gpu.txt
run: BENCHMARK_LOG=llama3_beam_4gpu AMD=1 JITBEAM=2 IGNORE_BEAM_CACHE=1 CAPTURE_PROCESS_REPLAY=0 python3 examples/llama3.py --size 8B --shard 4 --model weights/LLaMA-3/8B-SF-DPO/ --benchmark --temperature 0
# - name: Run LLaMA-3 8B on 6 GPUs
# run: AMD=1 CAPTURE_PROCESS_REPLAY=0 python3 examples/llama3.py --size 8B --shard 6 --model weights/LLaMA-3/8B-SF-DPO/ --benchmark --temperature 0 | tee llama3_six_gpu.txt
# run: AMD=1 CAPTURE_PROCESS_REPLAY=0 python3 examples/llama3.py --size 8B --shard 6 --model weights/LLaMA-3/8B-SF-DPO/ --benchmark --temperature 0
#- name: Restore amdgpu
# run: sudo modprobe amdgpu
# - name: Run LLaMA-2 70B
# run: AMD=1 CAPTURE_PROCESS_REPLAY=0 python3 examples/llama.py --gen 2 --size 70B --shard 6 --prompt "Hello." --count 10 --temperature 0 --timing | tee llama_2_70B.txt
# run: AMD=1 CAPTURE_PROCESS_REPLAY=0 python3 examples/llama.py --gen 2 --size 70B --shard 6 --prompt "Hello." --count 10 --temperature 0 --timing
- name: Run Mixtral 8x7B
run: time BENCHMARK_LOG=mixtral AMD=1 python3 examples/mixtral.py --temperature 0 --count 10 --timing | tee mixtral.txt
run: time BENCHMARK_LOG=mixtral AMD=1 python3 examples/mixtral.py --temperature 0 --count 10 --timing
- name: Run GPT2
run: |
BENCHMARK_LOG=gpt2_nojit AMD=1 JIT=0 python3 examples/gpt2.py --prompt "Hello." --count 10 --temperature 0 --timing | tee gpt2_unjitted.txt
BENCHMARK_LOG=gpt2 AMD=1 JIT=1 ASSERT_MIN_STEP_TIME=5 python3 examples/gpt2.py --prompt "Hello." --count 10 --temperature 0 --timing | tee gpt2_jitted.txt
BENCHMARK_LOG=gpt2_nojit AMD=1 JIT=0 python3 examples/gpt2.py --prompt "Hello." --count 10 --temperature 0 --timing
BENCHMARK_LOG=gpt2 AMD=1 JIT=1 ASSERT_MIN_STEP_TIME=5 python3 examples/gpt2.py --prompt "Hello." --count 10 --temperature 0 --timing
- name: Run GPT2 w HALF
run: BENCHMARK_LOG=gpt2_half AMD=1 HALF=1 ASSERT_MIN_STEP_TIME=5 python3 examples/gpt2.py --count 10 --temperature 0 --timing | tee gpt2_half.txt
run: BENCHMARK_LOG=gpt2_half AMD=1 HALF=1 ASSERT_MIN_STEP_TIME=5 python3 examples/gpt2.py --count 10 --temperature 0 --timing
- name: Run GPT2 w HALF/BEAM
run: BENCHMARK_LOG=gpt2_half_beam AMD=1 HALF=1 JITBEAM=2 IGNORE_BEAM_CACHE=1 python3 examples/gpt2.py --count 10 --temperature 0 --timing | tee gpt2_half_beam.txt
- uses: actions/upload-artifact@v4
with:
name: Speed (AMD)
path: |
onnx_inference_speed.csv
torch_speed.txt
llama_unjitted.txt
llama_jitted.txt
llama_beam.txt
llama3_beam.txt
llama3_four_gpu.txt
llama3_six_gpu.txt
llama_2_70B.txt
gpt2_unjitted.txt
gpt2_jitted.txt
gpt2_half.txt
gpt2_half_beam.txt
matmul.txt
matmul_amd.txt
sd.txt
sdxl.txt
mixtral.txt
run: BENCHMARK_LOG=gpt2_half_beam AMD=1 HALF=1 JITBEAM=2 IGNORE_BEAM_CACHE=1 python3 examples/gpt2.py --count 10 --temperature 0 --timing
- name: Run process replay tests
run: cp test/external/process_replay/process_replay.py ./process_replay.py && git fetch origin master && git -c advice.detachedHead=false checkout origin/master && PYTHONPATH=. python3 process_replay.py
@@ -521,10 +441,12 @@ jobs:
steps:
- name: Checkout Code
uses: actions/checkout@v4
- name: Remove amdgpu
run: sudo rmmod amdgpu || true
- name: Cleanup running AM processes
run: python extra/amdpci/am_smi.py --pids --kill
- name: Setcap to python
run: ./extra/amdpci/setup_python_cap.sh
- name: Remove amd modules
run: ./extra/hcq/hcq_smi.py amd rmmod
- name: Kill stale pids
run: ./extra/hcq/hcq_smi.py amd kill_pids
- name: Symlink models and datasets
run: |
mkdir -p weights
@@ -543,31 +465,20 @@ jobs:
- name: reset process replay
run: test/external/process_replay/reset.py
- name: Train MNIST
run: time PYTHONPATH=. AMD=1 TARGET_EVAL_ACC_PCT=96.0 python3 examples/beautiful_mnist.py | tee beautiful_mnist.txt
run: time PYTHONPATH=. AMD=1 TARGET_EVAL_ACC_PCT=96.0 python3 examples/beautiful_mnist.py
- name: Run 10 CIFAR training steps
run: BENCHMARK_LOG=cifar_10steps ASSERT_MIN_STEP_TIME=200 AMD=1 STEPS=10 python3 examples/hlb_cifar10.py | tee train_cifar.txt
run: BENCHMARK_LOG=cifar_10steps ASSERT_MIN_STEP_TIME=200 AMD=1 STEPS=10 python3 examples/hlb_cifar10.py
- name: Run 10 CIFAR training steps w HALF
run: BENCHMARK_LOG=cifar_10steps_half ASSERT_MIN_STEP_TIME=200 AMD=1 STEPS=10 DEFAULT_FLOAT=HALF python3 examples/hlb_cifar10.py | tee train_cifar_half.txt
run: BENCHMARK_LOG=cifar_10steps_half ASSERT_MIN_STEP_TIME=200 AMD=1 STEPS=10 DEFAULT_FLOAT=HALF python3 examples/hlb_cifar10.py
# - name: Run 10 CIFAR training steps w BF16
# run: BENCHMARK_LOG=cifar_10steps_bf16 ASSERT_MIN_STEP_TIME=288 AMD=1 STEPS=10 DEFAULT_FLOAT=BFLOAT16 python3 examples/hlb_cifar10.py | tee train_cifar_bf16.txt
# run: BENCHMARK_LOG=cifar_10steps_bf16 ASSERT_MIN_STEP_TIME=288 AMD=1 STEPS=10 DEFAULT_FLOAT=BFLOAT16 python3 examples/hlb_cifar10.py
# TODO: too slow
# - name: Run 10 CIFAR training steps w winograd
# run: BENCHMARK_LOG=cifar_10steps_half_wino ASSERT_MIN_STEP_TIME=66 AMD=1 WINO=1 STEPS=10 DEFAULT_FLOAT=HALF python3 examples/hlb_cifar10.py | tee train_cifar_wino.txt
# run: BENCHMARK_LOG=cifar_10steps_half_wino ASSERT_MIN_STEP_TIME=66 AMD=1 WINO=1 STEPS=10 DEFAULT_FLOAT=HALF python3 examples/hlb_cifar10.py
- name: Run full CIFAR training w 1 GPU
run: time BENCHMARK_LOG=cifar AMD=1 DEFAULT_FLOAT=HALF STEPS=1000 TARGET_EVAL_ACC_PCT=93.0 python3 examples/hlb_cifar10.py | tee train_cifar_one_gpu.txt
run: time BENCHMARK_LOG=cifar AMD=1 DEFAULT_FLOAT=HALF STEPS=1000 TARGET_EVAL_ACC_PCT=93.0 python3 examples/hlb_cifar10.py
- name: Run full CIFAR training steps w 6 GPUS
run: time BENCHMARK_LOG=cifar_6gpu AMD=1 DEFAULT_FLOAT=HALF STEPS=350 BS=1536 GPUS=6 TARGET_EVAL_ACC_PCT=93.0 python3 examples/hlb_cifar10.py | tee train_cifar_six_gpu.txt
- uses: actions/upload-artifact@v4
with:
name: Speed (AMD Training)
path: |
beautiful_mnist.txt
train_cifar.txt
train_cifar_half.txt
train_cifar_bf16.txt
train_cifar_wino.txt
train_cifar_one_gpu.txt
train_cifar_six_gpu.txt
run: time BENCHMARK_LOG=cifar_6gpu AMD=1 DEFAULT_FLOAT=HALF STEPS=350 BS=1536 GPUS=6 TARGET_EVAL_ACC_PCT=93.0 python3 examples/hlb_cifar10.py
- name: Run process replay tests
run: cp test/external/process_replay/process_replay.py ./process_replay.py && git fetch origin master && git -c advice.detachedHead=false checkout origin/master && PYTHONPATH=. python3 process_replay.py
@@ -582,10 +493,12 @@ jobs:
steps:
- name: Checkout Code
uses: actions/checkout@v4
- name: Remove amdgpu
run: sudo rmmod amdgpu || true
- name: Cleanup running AM processes
run: python extra/amdpci/am_smi.py --pids --kill
- name: Setcap to python
run: ./extra/amdpci/setup_python_cap.sh
- name: Remove amd modules
run: ./extra/hcq/hcq_smi.py amd rmmod
- name: Kill stale pids
run: ./extra/hcq/hcq_smi.py amd kill_pids
- name: Symlink models and datasets
run: |
mkdir -p weights
@@ -606,19 +519,12 @@ jobs:
- name: Run MLPerf resnet eval
run: time BENCHMARK_LOG=resnet_eval AMD=1 MODEL=resnet python3 examples/mlperf/model_eval.py
- name: Run 10 MLPerf ResNet50 training steps (1 gpu)
run: BENCHMARK_LOG=resnet_10steps AMD=1 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=256 GPUS=1 MODEL=resnet python3 examples/mlperf/model_train.py | tee train_resnet_one_gpu.txt
run: BENCHMARK_LOG=resnet_10steps AMD=1 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=256 GPUS=1 MODEL=resnet python3 examples/mlperf/model_train.py
- name: Run 10 MLPerf ResNet50 training steps (6 gpu)
run: BENCHMARK_LOG=resnet_10steps_6gpu AMD=1 CAPTURE_PROCESS_REPLAY=0 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=1536 GPUS=6 MODEL=resnet python3 examples/mlperf/model_train.py | tee train_resnet.txt
run: BENCHMARK_LOG=resnet_10steps_6gpu AMD=1 CAPTURE_PROCESS_REPLAY=0 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=1536 GPUS=6 MODEL=resnet python3 examples/mlperf/model_train.py
- name: Run 10 MLPerf Bert training steps (6 gpu)
# TODO: remove BERT_LAYERS once scheduler is fast
run: BENCHMARK_LOG=bert_10steps_6gpu AMD=1 CAPTURE_PROCESS_REPLAY=0 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=72 GPUS=6 BERT_LAYERS=2 MODEL=bert python3 examples/mlperf/model_train.py | tee train_bert.txt
- uses: actions/upload-artifact@v4
with:
name: Speed (AMD MLPerf)
path: |
train_resnet.txt
train_resnet_one_gpu.txt
train_bert.txt
run: BENCHMARK_LOG=bert_10steps_6gpu AMD=1 CAPTURE_PROCESS_REPLAY=0 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=72 GPUS=6 BERT_LAYERS=2 MODEL=bert python3 examples/mlperf/model_train.py
- name: Run process replay tests
run: cp test/external/process_replay/process_replay.py ./process_replay.py && git fetch origin master && git -c advice.detachedHead=false checkout origin/master && PYTHONPATH=. python3 process_replay.py
@@ -641,17 +547,19 @@ jobs:
- name: reset process replay
run: test/external/process_replay/reset.py
- name: openpilot compile3 0.10.0 driving_policy
run: BENCHMARK_LOG=openpilot_0_10_0_policy PYTHONPATH="." ASSERT_MIN_STEP_TIME=4 DEV=QCOM FLOAT16=1 IMAGE=2 NOLOCALS=1 taskset -c 4-7 python3 examples/openpilot/compile3.py https://github.com/commaai/openpilot/raw/v0.10.0/selfdrive/modeld/models/driving_policy.onnx
run: BENCHMARK_LOG=openpilot_0_10_0_policy PYTHONPATH="." ASSERT_MIN_STEP_TIME=3 DEV=QCOM FLOAT16=1 IMAGE=2 NOLOCALS=1 taskset -c 4-7 python3 examples/openpilot/compile3.py https://github.com/commaai/openpilot/raw/v0.10.0/selfdrive/modeld/models/driving_policy.onnx
- name: openpilot compile3 0.10.0 dmonitoring
run: BENCHMARK_LOG=openpilot_0_10_0_dmonitoring PYTHONPATH="." ASSERT_MIN_STEP_TIME=11 DEV=QCOM FLOAT16=1 IMAGE=2 NOLOCALS=1 taskset -c 4-7 python3 examples/openpilot/compile3.py https://github.com/commaai/openpilot/raw/v0.10.0/selfdrive/modeld/models/dmonitoring_model.onnx
- name: DEBUG=2 openpilot compile3 0.10.1 driving_vision
run: PYTHONPATH="." DEBUG=2 DEV=QCOM FLOAT16=1 IMAGE=2 NOLOCALS=1 taskset -c 4-7 python3 examples/openpilot/compile3.py https://github.com/commaai/openpilot/raw/720392c9a5b986981fdbed1bb8c47a6c5573a50e/selfdrive/modeld/models/driving_vision.onnx
- name: DEBUG=2 IMAGE=1 openpilot compile3 0.10.1 driving_vision
run: PYTHONPATH="." DEBUG=2 DEV=QCOM FLOAT16=1 IMAGE=1 NOLOCALS=1 taskset -c 4-7 python3 examples/openpilot/compile3.py https://github.com/commaai/openpilot/raw/720392c9a5b986981fdbed1bb8c47a6c5573a50e/selfdrive/modeld/models/driving_vision.onnx
- name: IMAGE=1 openpilot compile3 0.10.1 driving_vision
run: BENCHMARK_LOG=image_1_openpilot_0_10_1_vision PYTHONPATH="." DEV=QCOM FLOAT16=1 IMAGE=1 NOLOCALS=1 taskset -c 4-7 python3 examples/openpilot/compile3.py https://github.com/commaai/openpilot/raw/720392c9a5b986981fdbed1bb8c47a6c5573a50e/selfdrive/modeld/models/driving_vision.onnx
- name: openpilot compile3 0.10.1 driving_vision
run: BENCHMARK_LOG=openpilot_0_10_1_vision PYTHONPATH="." ASSERT_MIN_STEP_TIME=17 DEV=QCOM FLOAT16=1 IMAGE=2 NOLOCALS=1 taskset -c 4-7 python3 examples/openpilot/compile3.py https://github.com/commaai/openpilot/raw/720392c9a5b986981fdbed1bb8c47a6c5573a50e/selfdrive/modeld/models/driving_vision.onnx
- name: openpilot compile3 0.10.1 driving_policy
run: BENCHMARK_LOG=openpilot_0_10_1_policy PYTHONPATH="." ASSERT_MIN_STEP_TIME=4 DEV=QCOM FLOAT16=1 IMAGE=2 NOLOCALS=1 taskset -c 4-7 python3 examples/openpilot/compile3.py https://github.com/commaai/openpilot/raw/720392c9a5b986981fdbed1bb8c47a6c5573a50e/selfdrive/modeld/models/driving_policy.onnx
run: BENCHMARK_LOG=openpilot_0_10_1_policy PYTHONPATH="." ASSERT_MIN_STEP_TIME=3 DEV=QCOM FLOAT16=1 IMAGE=2 NOLOCALS=1 taskset -c 4-7 python3 examples/openpilot/compile3.py https://github.com/commaai/openpilot/raw/720392c9a5b986981fdbed1bb8c47a6c5573a50e/selfdrive/modeld/models/driving_policy.onnx
- name: openpilot compile3 0.10.1 dmonitoring
run: BENCHMARK_LOG=openpilot_0_10_1_dmonitoring PYTHONPATH="." ASSERT_MIN_STEP_TIME=10 DEV=QCOM FLOAT16=1 IMAGE=2 NOLOCALS=1 taskset -c 4-7 python3 examples/openpilot/compile3.py https://github.com/commaai/openpilot/raw/720392c9a5b986981fdbed1bb8c47a6c5573a50e/selfdrive/modeld/models/dmonitoring_model.onnx
- name: benchmark MobileNetV2 on DSP
@@ -676,6 +584,8 @@ jobs:
steps:
- name: Checkout Code
uses: actions/checkout@v4
- name: Setcap to python
run: ./extra/amdpci/setup_python_cap.sh
- name: Remove amd modules
run: ./extra/hcq/hcq_smi.py amd rmmod
- name: Kill stale pids
@@ -708,7 +618,7 @@ jobs:
# AMD=1 AMD_LLVM=1 python3 test/test_linearizer.py test/opt/test_tensor_cores.py
# AMD=1 SHOULD_USE_TC=1 BFLOAT16=1 DEBUG=2 python3 extra/gemm/simple_matmul.py
- name: Run Tensor Core GEMM (AMD)
run: AMD=1 SHOULD_USE_TC=1 HALF=1 DEBUG=2 ATOL=2e-2 python3 extra/gemm/simple_matmul.py | tee am_matmul_amd.txt
run: AMD=1 SHOULD_USE_TC=1 HALF=1 DEBUG=2 ATOL=2e-2 python3 extra/gemm/simple_matmul.py
- name: Test AMD=1
run: DEBUG=2 AMD=1 python -m pytest -rA test/test_tiny.py
- name: Test DISK copy time
@@ -718,20 +628,12 @@ jobs:
AMD=1 GRAPH_ONE_KERNEL=1 PYTHONPATH=. NSZ=8192 python3 test/speed/external_test_copy_speed.py TestCopySpeed.testCopyDefaulttoCPUJit
AMD=1 GRAPH_ONE_KERNEL=1 PYTHONPATH=. NSZ=8192 python3 test/speed/external_test_copy_speed.py TestCopySpeed.testCopyCPUtoDefaultJit
- name: Run full CIFAR training w 1 GPU
run: time BENCHMARK_LOG=cifar AMD=1 DEFAULT_FLOAT=HALF STEPS=1000 TARGET_EVAL_ACC_PCT=93.0 python3 examples/hlb_cifar10.py | tee am_train_cifar_one_gpu.txt
run: time BENCHMARK_LOG=cifar AMD=1 DEFAULT_FLOAT=HALF STEPS=1000 TARGET_EVAL_ACC_PCT=93.0 python3 examples/hlb_cifar10.py
# - name: Run 10 MLPerf ResNet50 training steps (1 gpu)
# run: BENCHMARK_LOG=resnet_10steps AMD=1 MNISTMOCK=1 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=256 GPUS=1 MODEL=resnet python3 examples/mlperf/model_train.py | tee am_train_resnet_one_gpu.txt
# run: BENCHMARK_LOG=resnet_10steps AMD=1 MNISTMOCK=1 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=256 GPUS=1 MODEL=resnet python3 examples/mlperf/model_train.py
- name: Run 10 MLPerf Bert training steps (1 gpu)
# TODO: remove BERT_LAYERS once scheduler is fast
run: BENCHMARK_LOG=bert_10steps AMD=1 CAPTURE_PROCESS_REPLAY=0 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=66 GPUS=1 BERT_LAYERS=2 MODEL=bert python3 examples/mlperf/model_train.py | tee am_train_bert_one_gpu.txt
- uses: actions/upload-artifact@v4
with:
name: Speed (AM Driver)
path: |
am_matmul_amd.txt
am_train_cifar_one_gpu.txt
am_train_resnet_one_gpu.txt
am_train_bert_one_gpu.txt
run: BENCHMARK_LOG=bert_10steps AMD=1 CAPTURE_PROCESS_REPLAY=0 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=66 GPUS=1 BERT_LAYERS=2 MODEL=bert python3 examples/mlperf/model_train.py
- name: Run process replay tests
run: cp test/external/process_replay/process_replay.py ./process_replay.py && git fetch origin master && git -c advice.detachedHead=false checkout origin/master && PYTHONPATH=. python3 process_replay.py
@@ -746,6 +648,8 @@ jobs:
steps:
- name: Checkout Code
uses: actions/checkout@v4
- name: Setcap to python
run: ./extra/amdpci/setup_python_cap.sh
- name: Remove nv modules
run: ./extra/hcq/hcq_smi.py nv rmmod
- name: Kill stale pids
@@ -778,21 +682,13 @@ jobs:
NV=1 GRAPH_ONE_KERNEL=1 PYTHONPATH=. NSZ=8192 python3 test/speed/external_test_copy_speed.py TestCopySpeed.testCopyDefaulttoCPUJit
NV=1 GRAPH_ONE_KERNEL=1 PYTHONPATH=. NSZ=8192 python3 test/speed/external_test_copy_speed.py TestCopySpeed.testCopyCPUtoDefaultJit
- name: Test LLAMA-3
run: BENCHMARK_LOG=llama3_beam NV=1 JITBEAM=2 IGNORE_BEAM_CACHE=1 python3 examples/llama3.py --size 8B --benchmark --temperature 0 | tee nv_llama3_beam.txt
run: BENCHMARK_LOG=llama3_beam NV=1 JITBEAM=2 IGNORE_BEAM_CACHE=1 python3 examples/llama3.py --size 8B --benchmark --temperature 0
- name: Run full CIFAR training w 1 GPU
run: time BENCHMARK_LOG=cifar NV=1 DEFAULT_FLOAT=HALF STEPS=1000 TARGET_EVAL_ACC_PCT=93.0 python3 examples/hlb_cifar10.py | tee nv_train_cifar_one_gpu.txt
run: time BENCHMARK_LOG=cifar NV=1 DEFAULT_FLOAT=HALF STEPS=1000 TARGET_EVAL_ACC_PCT=93.0 python3 examples/hlb_cifar10.py
- name: Run 10 MLPerf ResNet50 training steps (1 gpu)
run: BENCHMARK_LOG=resnet_10steps NV=1 MNISTMOCK=1 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=256 GPUS=1 MODEL=resnet python3 examples/mlperf/model_train.py | tee nv_train_resnet_one_gpu.txt
run: BENCHMARK_LOG=resnet_10steps NV=1 MNISTMOCK=1 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=256 GPUS=1 MODEL=resnet python3 examples/mlperf/model_train.py
- name: Run 10 MLPerf Bert training steps (1 gpu)
# TODO: remove BERT_LAYERS once scheduler is fast
run: BENCHMARK_LOG=bert_10steps NV=1 CAPTURE_PROCESS_REPLAY=0 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=66 GPUS=1 BERT_LAYERS=2 MODEL=bert python3 examples/mlperf/model_train.py | tee nv_train_bert_one_gpu.txt
- uses: actions/upload-artifact@v4
with:
name: Speed (NV Driver)
path: |
nv_llama3_beam.txt
nv_train_cifar_one_gpu.txt
nv_train_resnet_one_gpu.txt
nv_train_bert_one_gpu.txt
run: BENCHMARK_LOG=bert_10steps NV=1 CAPTURE_PROCESS_REPLAY=0 DEFAULT_FLOAT=HALF BENCHMARK=10 BS=66 GPUS=1 BERT_LAYERS=2 MODEL=bert python3 examples/mlperf/model_train.py
- name: Run process replay tests
run: cp test/external/process_replay/process_replay.py ./process_replay.py && git fetch origin master && git -c advice.detachedHead=false checkout origin/master && PYTHONPATH=. python3 process_replay.py
+18 -25
View File
@@ -110,7 +110,7 @@ jobs:
- name: Test ResNet-18
run: DEBUG=2 python3 extra/torch_backend/example.py
- name: custom tests
run: python3 extra/torch_backend/test.py
run: python3 -m pytest -n auto extra/torch_backend/test.py --durations=20
- name: Test one op in torch tests
run: DEBUG=2 python3 extra/torch_backend/torch_tests.py TestTinyBackendPRIVATEUSE1.test_unary_log_tiny_float32
- name: Test Ops with TINY_BACKEND
@@ -218,7 +218,6 @@ jobs:
runs-on: ubuntu-latest
timeout-minutes: 10
# TODO: run the pre-commit hook to replace a lot of this
steps:
- name: Checkout Code
uses: actions/checkout@v4
@@ -233,13 +232,13 @@ jobs:
- name: Lint with ruff
run: |
pip3 install --upgrade --force-reinstall ruff==0.14.10
python3 -m ruff check .
pre-commit run ruff --all-files
python3 -m ruff check examples/mlperf/ --ignore E501
python3 -m ruff check extra/thunder/tiny/ --ignore E501 --ignore F841 --ignore E722
python3 -m ruff check extra/torch_backend/backend.py
- name: Run mypy
run: |
python -m mypy --strict-equality --lineprecision-report .
python -m mypy --lineprecision-report .
cat lineprecision.txt
- name: Run TYPED=1
run: TYPED=1 python -c "import tinygrad"
@@ -258,6 +257,7 @@ jobs:
key: unittest-12
pydeps: "pillow numpy ftfy regex"
deps: testing_unit
llvm: 'true'
- name: Check Device.DEFAULT
run: python -c "from tinygrad import Device; assert Device.DEFAULT == 'CPU', Device.DEFAULT"
- name: Run unit tests
@@ -310,7 +310,7 @@ jobs:
deps: testing_unit
python-version: '3.14'
- name: Test SPEC=2
run: SPEC=2 pytest --maxfail=10 -n auto --durations=30 --ignore=test/models --ignore test/test_custom_kernel.py --ignore test/unit/test_hashing.py --timeout 60 -k "not test_setitem_big" --splits 2 --group ${{ matrix.group }}
run: SPEC=2 pytest --maxfail=10 -n auto --durations=30 --ignore=test/models --ignore test/test_custom_kernel.py --ignore test/unit/test_hashing.py --ignore test/unit/test_autogen.py --timeout 60 -k "not test_setitem_big" --splits 2 --group ${{ matrix.group }}
fuzzing:
name: Fuzzing
@@ -605,9 +605,7 @@ jobs:
WEBGPU=1 DEBUG=4 FORWARD_ONLY=1 python3 test/test_ops.py TestOps.test_add
- name: Run selected webgpu tests
run: |
WEBGPU=1 WEBGPU_BACKEND="WGPUBackendType_Vulkan" python3 -m pytest -n=auto test/ --ignore=test/models --ignore=test/unit \
--ignore=test/test_copy_speed.py --ignore=test/test_rearrange_einops.py \
--ignore=test/test_fuzz_shape_ops.py --durations=20
WEBGPU=1 WEBGPU_BACKEND="WGPUBackendType_Vulkan" python3 -m pytest -n=auto test/ --ignore=test/models --ignore=test/unit --durations=20
- name: Run process replay tests
uses: ./.github/actions/process-replay
@@ -669,6 +667,11 @@ jobs:
key: rdna3-emu
deps: testing_minimal
amd: 'true'
python-version: '3.13'
- name: Verify AMD autogen is up to date
run: |
python -m extra.assembly.amd.amdxml
git diff --exit-code extra/assembly/amd/autogen/
- name: Install LLVM 21
run: |
wget -qO- https://apt.llvm.org/llvm-snapshot.gpg.key | sudo tee /etc/apt/trusted.gpg.d/apt.llvm.org.asc
@@ -677,6 +680,8 @@ jobs:
sudo apt-get install llvm-21 llvm-21-tools cloc
- name: RDNA3 Line Count
run: cloc --by-file extra/assembly/amd/*.py
- name: Install rocprof-trace-decoder
run: sudo PYTHONPATH="." ./extra/sqtt/install_sqtt_decoder.py
- name: Run RDNA3 emulator tests
run: python -m pytest -n=auto extra/assembly/amd/ --durations 20
- name: Run RDNA3 emulator tests (AMD_LLVM=1)
@@ -685,23 +690,9 @@ jobs:
run: AMD=1 PYTHON_REMU=1 MOCKGPU=1 AMD_LLVM=0 pytest -n=auto test/test_dtype_alu.py test/test_dtype.py
- name: Run RDNA3 dtype tests (AMD_LLVM=1)
run: AMD=1 PYTHON_REMU=1 MOCKGPU=1 AMD_LLVM=1 pytest -n=auto test/test_dtype_alu.py test/test_dtype.py
testamdautogen:
name: AMD autogen
runs-on: ubuntu-24.04
timeout-minutes: 10
steps:
- name: Checkout Code
uses: actions/checkout@v4
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: rdna3-autogen
pydeps: "pdfplumber"
- name: Verify AMD autogen is up to date
run: |
python -m extra.assembly.amd.pdf --arch all
git diff --exit-code extra/assembly/amd/autogen/
# TODO: run all once emulator is faster
- name: Run RDNA3 ops tests
run: SKIP_SLOW_TEST=1 AMD=1 PYTHON_REMU=1 MOCKGPU=1 AMD_LLVM=0 pytest -n=auto test/test_ops.py -k "test_sparse_categorical_crossentropy or test_tril"
testnvidia:
strategy:
@@ -790,6 +781,8 @@ jobs:
ocelot: 'true'
llvm: 'true'
- name: Run unit tests
env:
LIBCLANG_PATH: '/opt/homebrew/opt/llvm@20/lib/libclang.dylib'
run: METAL=1 python -m pytest -n=auto test/unit/ --durations=20
- name: Run ONNX
run: METAL=1 python -m pytest -n=auto test/external/external_test_onnx_backend.py --durations=20
+1 -1
View File
@@ -16,7 +16,7 @@ repos:
pass_filenames: false
- id: mypy
name: mypy
entry: python3 -m mypy tinygrad/ --strict-equality
entry: python3 -m mypy
language: system
always_run: true
pass_filenames: false
+13 -2
View File
@@ -192,9 +192,12 @@ When optimizing tinygrad internals:
9. **Avoid creating intermediate objects in hot paths** - For example, `any(x.op in ops for x in self.backward_slice)` is faster than `any(x.op in ops for x in {self:None, **self.backward_slice})` because it avoids dict creation.
## Pattern Matching Profiling
## Pattern Matching Analysis
Use `TRACK_MATCH_STATS=2` to identify expensive patterns:
**Use the right tool:**
- `TRACK_MATCH_STATS=2` - **Profiling**: identify expensive patterns
- `VIZ=-1` - **Inspection**: see all transformations, what every match pattern does, the before/after diffs
```bash
TRACK_MATCH_STATS=2 PYTHONPATH="." python3 test/external/external_benchmark_schedule.py
@@ -209,6 +212,14 @@ Key patterns to watch (from ResNet50 benchmark):
Patterns with 0% match rate are workload-specific overhead. They may be useful in other workloads, so don't remove them without understanding their purpose.
```bash
# Save the trace
VIZ=-1 python test/test_tiny.py TestTiny.test_gemm
# Explore it
./extra/viz/cli.py --help
```
## AMD Performance Counter Profiling
Set VIZ to `-2` to save performance counters traces for the AMD backend.
+1 -1
View File
@@ -70,7 +70,7 @@ AMD backend supports several interfaces for communicating with devices:
* `KFD`: uses the amdgpu driver
* `PCI`: uses the [AM driver](developer/am.md)
* `USB`: USB3 interafce for asm24xx chips.
* `USB`: USB3 interface for asm24xx chips.
You can force an interface by setting `AMD_IFACE` to one of these values. In the case of `AMD_IFACE=PCI`, this may unbind your GPU from the amdgpu driver.
+6 -1
View File
@@ -6,6 +6,7 @@ Elementwise ops operate on a per element basis. They don't change the shape of t
::: tinygrad.Tensor.neg
::: tinygrad.Tensor.log
::: tinygrad.Tensor.log2
::: tinygrad.Tensor.log10
::: tinygrad.Tensor.exp
::: tinygrad.Tensor.exp2
::: tinygrad.Tensor.sqrt
@@ -87,4 +88,8 @@ Elementwise ops operate on a per element basis. They don't change the shape of t
::: tinygrad.Tensor.float
::: tinygrad.Tensor.half
::: tinygrad.Tensor.int
::: tinygrad.Tensor.bool
::: tinygrad.Tensor.bool
::: tinygrad.Tensor.bfloat16
::: tinygrad.Tensor.double
::: tinygrad.Tensor.long
::: tinygrad.Tensor.short
+1
View File
@@ -27,5 +27,6 @@
::: tinygrad.Tensor.flatten
::: tinygrad.Tensor.unflatten
::: tinygrad.Tensor.diag
::: tinygrad.Tensor.diagonal
::: tinygrad.Tensor.roll
::: tinygrad.Tensor.rearrange
+10
View File
@@ -7,6 +7,7 @@
::: tinygrad.Tensor.any
::: tinygrad.Tensor.all
::: tinygrad.Tensor.isclose
::: tinygrad.Tensor.allclose
::: tinygrad.Tensor.mean
::: tinygrad.Tensor.var
::: tinygrad.Tensor.var_mean
@@ -30,7 +31,9 @@
::: tinygrad.Tensor.matmul
::: tinygrad.Tensor.einsum
::: tinygrad.Tensor.cumsum
::: tinygrad.Tensor.cumprod
::: tinygrad.Tensor.cummax
::: tinygrad.Tensor.cummin
::: tinygrad.Tensor.triu
::: tinygrad.Tensor.tril
::: tinygrad.Tensor.interpolate
@@ -38,7 +41,9 @@
::: tinygrad.Tensor.scatter_reduce
::: tinygrad.Tensor.masked_select
::: tinygrad.Tensor.masked_fill
::: tinygrad.Tensor.nonzero
::: tinygrad.Tensor.sort
::: tinygrad.Tensor.argsort
::: tinygrad.Tensor.topk
::: tinygrad.Tensor.multinomial
@@ -56,3 +61,8 @@
::: tinygrad.Tensor.sparse_categorical_crossentropy
::: tinygrad.Tensor.cross_entropy
::: tinygrad.Tensor.nll_loss
## Linear Algebra
::: tinygrad.Tensor.qr
::: tinygrad.Tensor.svd
+3 -2
View File
@@ -213,12 +213,13 @@ class InterleavedDataset:
self.queues[queue_index].queue.extend(load_file(file))
# Reference: https://github.com/mlcommons/training/blob/1c8a098ae3e70962a4f7422c0b0bd35ae639e357/language_model/tensorflow/bert/run_pretraining.py, Line 394
def batch_load_train_bert(BS:int):
def batch_load_train_bert(BS:int, seed:int|None=None):
from extra.datasets.wikipedia import get_wiki_train_files
rng = random.Random(seed)
fs = sorted(get_wiki_train_files())
train_files = []
while fs: # TF shuffle
random.shuffle(fs)
rng.shuffle(fs)
train_files.append(fs.pop(0))
cycle_length = min(getenv("NUM_CPU_THREADS", min(os.cpu_count(), 8)), len(train_files))
+12 -1
View File
@@ -219,7 +219,18 @@ def get_mlperf_bert_model():
config = get_mlperf_bert_config()
if getenv("DISABLE_DROPOUT", 0):
config["hidden_dropout_prob"] = config["attention_probs_dropout_prob"] = 0.0
return BertForPretraining(**config)
model = BertForPretraining(**config)
if getenv("FP8_TRAIN"):
from extra.fp8.fp8_linear import convert_to_float8_training
def module_filter_fn(mod, fqn):
if isinstance(mod, LinearBert):
skip_layers = [] if (ln:=config["num_hidden_layers"]) <= 2 else ["bert.encoder.layer.0.", f"bert.encoder.layer.{ln-1}"]
if mod.weight.shape[-1] >= 1024 and "encoder" in fqn and not any(name in fqn for name in skip_layers):
print(f"replacing linear with fp8: {fqn} {mod.weight.shape}")
return True
return False
convert_to_float8_training(model, module_filter_fn)
return model
def get_fake_data_bert(BS:int):
return {
+4 -3
View File
@@ -1008,6 +1008,7 @@ def train_bert():
config["DISABLE_DROPOUT"] = getenv("DISABLE_DROPOUT", 0)
config["TRAIN_BEAM"] = TRAIN_BEAM = getenv("TRAIN_BEAM", BEAM.value)
config["EVAL_BEAM"] = EVAL_BEAM = getenv("EVAL_BEAM", BEAM.value)
config["FP8_TRAIN"] = getenv("FP8_TRAIN", 0)
Tensor.manual_seed(seed) # seed for weight initialization
@@ -1085,7 +1086,7 @@ def train_bert():
if RUNMLPERF:
# only load real data with RUNMLPERF
eval_it = iter(batch_load_val_bert(EVAL_BS))
train_it = iter(tqdm(batch_load_train_bert(BS), total=train_steps, disable=BENCHMARK))
train_it = iter(tqdm(batch_load_train_bert(BS, seed=seed), total=train_steps, disable=BENCHMARK))
for _ in range(start_step): next(train_it) # Fast forward
else:
# repeat fake data
@@ -1147,7 +1148,7 @@ def train_bert():
device_str = parameters[0].device if isinstance(parameters[0].device, str) else f"{parameters[0].device[0]} * {len(parameters[0].device)}"
loss = loss.item()
assert not math.isnan(loss)
if not getenv("FP8_TRAIN"): assert not math.isnan(loss)
lr = lr.item()
cl = time.perf_counter()
@@ -1160,7 +1161,7 @@ def train_bert():
if WANDB:
wandb.log({"lr": lr, "train/loss": loss, "train/global_norm": global_norm.item(), "train/step_time": cl - st,
"train/python_time": pt - st, "train/data_time": dt - pt, "train/cl_time": cl - dt,
"train/GFLOPS": GlobalCounters.global_ops * 1e-9 / (cl - st), "epoch": (i+1)*GBS})
"train/mem":GlobalCounters.mem_used / 1e9, "train/GFLOPS": GlobalCounters.global_ops * 1e-9 / (cl - st), "epoch": (i+1)*GBS})
train_data, next_data = next_data, None
i += 1
@@ -0,0 +1,20 @@
#!/bin/bash
export PYTHONPATH="." AMD=1 DEBUG=0 JIT=1 FLASH_ATTENTION=1
export MODEL="bert"
export DEFAULT_FLOAT="HALF" GPUS=8 BS=1024 EVAL_BS=1024
# similar to https://github.com/mlcommons/training_results_v3.1/blob/d06288b2bd675a9d88e0e6181f5bb5626b71ec19/Quanta_Cloud_Technology/results/D54U-3U/bert/result_1.txt#L54
export OPT_BASE_LEARNING_RATE=0.0011 OPT_LAMB_BETA_1=0.60466 OPT_LAMB_BETA_2=0.85437 DECAY=0.1
export TRAIN_STEPS=3900
export IGNORE_OOB=1
export REWRITE_STACK_LIMIT=5000000
export BEAM=0 BEAM_UOPS_MAX=6000 BEAM_UPCAST_MAX=256 BEAM_LOCAL_MAX=1024 BEAM_MIN_PROGRESS=5
export IGNORE_JIT_FIRST_BEAM=1 FREE_INTERMEDIATE=0
export BASEDIR="/raid/datasets/wiki"
export WANDB=1 PARALLEL=0
RUNMLPERF=1 python3 examples/mlperf/model_train.py
@@ -0,0 +1,24 @@
#!/bin/bash
export PYTHONPATH="." AMD=1
export MODEL="bert"
export DEFAULT_FLOAT="HALF" GPUS=8 BS=1024 EVAL_BS=1024
# similar to https://github.com/mlcommons/training_results_v3.1/blob/d06288b2bd675a9d88e0e6181f5bb5626b71ec19/Quanta_Cloud_Technology/results/D54U-3U/bert/result_1.txt#L54
export OPT_BASE_LEARNING_RATE=0.0011 OPT_LAMB_BETA_1=0.60466 OPT_LAMB_BETA_2=0.85437 DECAY=0.1
export TRAIN_STEPS=3900
export IGNORE_OOB=1
export REWRITE_STACK_LIMIT=5000000
export BEAM=3 BEAM_UOPS_MAX=6000 BEAM_UPCAST_MAX=256 BEAM_LOCAL_MAX=1024 BEAM_MIN_PROGRESS=5
export IGNORE_JIT_FIRST_BEAM=1 FREE_INTERMEDIATE=0
export BASEDIR="/raid/datasets/wiki"
export BEAM_TIMEOUT_SEC=15
export FP8_TRAIN=1
# search
IGNORE_BEAM_CACHE=1 BENCHMARK=10 BERT_LAYERS=2 RUNMLPERF=0 python3 examples/mlperf/model_train.py
export WANDB=1 PARALLEL=0
RUNMLPERF=1 python3 examples/mlperf/model_train.py
+1 -1
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@@ -7,7 +7,7 @@ if __name__ == "__main__":
with open(fetch(sys.argv[1]), "rb") as f:
run_onnx_jit = pickle.load(f)
input_name = run_onnx_jit.captured.expected_names[0]
device = run_onnx_jit.captured.expected_st_vars_dtype_device[0][-1]
device = run_onnx_jit.captured.expected_input_info[0][-1]
print(f"input goes into {input_name=} on {device=}")
hit = 0
for i,(img,y) in enumerate(imagenet_dataloader(cnt=getenv("CNT", 100))):
+10 -11
View File
@@ -153,8 +153,7 @@ class SMICtx:
tables = {}
for dev in self.devs:
match dev.ip_ver[am.MP1_HWIP]:
case (13,0,6): table_t = dev.smu.smu_mod.MetricsTableX_t
case (13,0,12): table_t = dev.smu.smu_mod.MetricsTableV2_t
case (13,0,6)|(13,0,12): table_t = dev.smu.smu_mod.MetricsTableX_t
case _: table_t = dev.smu.smu_mod.SmuMetricsExternal_t
tables[dev] = dev.smu.read_table(table_t, dev.smu.smu_mod.SMU_TABLE_SMU_METRICS) if dev.pci_state == "D0" else None
return tables
@@ -165,17 +164,17 @@ class SMICtx:
def get_gfx_activity(self, dev, metrics):
match dev.ip_ver[am.MP1_HWIP]:
case (13,0,6): return max(0, min(100, self._smuq10_round(metrics.SocketGfxBusy)))
case (13,0,6)|(13,0,12): return max(0, min(100, self._smuq10_round(metrics.SocketGfxBusy)))
case _: return metrics.SmuMetrics.AverageGfxActivity
def get_mem_activity(self, dev, metrics):
match dev.ip_ver[am.MP1_HWIP]:
case (13,0,6): return max(0, min(100, self._smuq10_round(metrics.DramBandwidthUtilization)))
case (13,0,6)|(13,0,12): return max(0, min(100, self._smuq10_round(metrics.DramBandwidthUtilization)))
case _: return metrics.SmuMetrics.AverageUclkActivity
def get_temps(self, dev, metrics, compact=False):
match dev.ip_ver[am.MP1_HWIP]:
case (13,0,6):
case (13,0,6)|(13,0,12):
temps = {
"Hotspot": self._smuq10_round(metrics.MaxSocketTemperature),
"HBM": self._smuq10_round(metrics.MaxHbmTemperature),
@@ -191,7 +190,7 @@ class SMICtx:
def get_voltage(self, dev, metrics, compact=False):
match dev.ip_ver[am.MP1_HWIP]:
case (13,0,6): return {}
case (13,0,6)|(13,0,12): return {}
case _:
voltage_keys = [(k, name) for k, name in dev.smu.smu_mod.SVI_PLANE_e.items()
if k < dev.smu.smu_mod.SVI_PLANE_COUNT and metrics.SmuMetrics.AvgVoltage[k] != 0]
@@ -205,33 +204,33 @@ class SMICtx:
def get_gfx_freq(self, dev, metrics):
if metrics is None: return 0
match dev.ip_ver[am.MP1_HWIP]:
case (13,0,6): return self._smuq10_round(metrics.GfxclkFrequency[0])
case (13,0,6)|(13,0,12): return self._smuq10_round(metrics.GfxclkFrequency[0])
case _:
return metrics.SmuMetrics.AverageGfxclkFrequencyPostDs if self.get_gfx_activity(dev, metrics) <= self.get_busy_threshold(dev) else \
metrics.SmuMetrics.AverageGfxclkFrequencyPreDs
def get_mem_freq(self, dev, metrics):
match dev.ip_ver[am.MP1_HWIP]:
case (13,0,6): return self._smuq10_round(metrics.UclkFrequency)
case (13,0,6)|(13,0,12): return self._smuq10_round(metrics.UclkFrequency)
case _:
return metrics.SmuMetrics.AverageMemclkFrequencyPostDs if self.get_mem_activity(dev, metrics) <= self.get_busy_threshold(dev) else \
metrics.SmuMetrics.AverageMemclkFrequencyPreDs
def get_fckl_freq(self, dev, metrics):
match dev.ip_ver[am.MP1_HWIP]:
case (13,0,6): return self._smuq10_round(metrics.FclkFrequency)
case (13,0,6)|(13,0,12): return self._smuq10_round(metrics.FclkFrequency)
case _:
return metrics.SmuMetrics.AverageFclkFrequencyPostDs if self.get_mem_activity(dev, metrics) <= self.get_busy_threshold(dev) else \
metrics.SmuMetrics.AverageFclkFrequencyPreDs
def get_fan_rpm_pwm(self, dev, metrics):
match dev.ip_ver[am.MP1_HWIP]:
case (13,0,6): return None, None
case (13,0,6)|(13,0,12): return None, None
case _: return metrics.SmuMetrics.AvgFanRpm, metrics.SmuMetrics.AvgFanPwm
def get_power(self, dev, metrics):
match dev.ip_ver[am.MP1_HWIP]:
case (13,0,6): return self._smuq10_round(metrics.SocketPower), self._smuq10_round(metrics.MaxSocketPowerLimit)
case (13,0,6)|(13,0,12): return self._smuq10_round(metrics.SocketPower), self._smuq10_round(metrics.MaxSocketPowerLimit)
case _: return metrics.SmuMetrics.AverageSocketPower, metrics.SmuMetrics.dGPU_W_MAX
def get_mem_usage(self, dev):
+11 -3
View File
@@ -3,14 +3,16 @@ An integrated environment for AMD GPU assembly and emulation
Test with `PYTHONPATH="." pytest -n12 extra/assembly/amd/`
`AMD_LLVM=1 PYTHONPATH="." pytest -n12 extra/assembly/amd/`
* pdf.py -- extract assembly format + instruction psuedocode from AMD PDF
* pdf.py -- extract assembly format + instruction pseudocode from AMD PDF
* dsl.py -- helpers for the autogen instruction classes in `__init__.py`. should be standalone with init
* pcode.py -- psuedocode execution environment. psuedocode should be transformed as little as possible.
* pcode.py -- pseudocode execution environment. pseudocode should be transformed as little as possible.
* asm.py -- an asm/disasm function to transform to and from AMD assembly syntax
* emu.py -- an emulator for RDNA that runs in tinygrad with `AMD=1 MOCKGPU=1 PYTHON_REMU=1`
The code should be as readable and deduplicated as possible. asm and emu shouldn't be required for dsl.
The autogen folder is autogenerated from the AMD PDFs with `python3 -m extra.assembly.amd.pdf --arch all`
test_emu.py has a good set of instruction tests for the emulation, with USE_HW=1 it will compare to real hardware.
Whenever an instruction is fixed, regression tests should be added here and confirmed with real hardware.
@@ -26,6 +28,12 @@ The ops tests also pass, but they are very slow, so you should run them one at a
`SKIP_SLOW_TEST=1 PYTHONPATH="." AMD=1 PYTHON_REMU=1 MOCKGPU=1 AMD_LLVM=0 pytest -n=12 test/test_ops.py`
`SKIP_SLOW_TEST=1 PYTHONPATH="." AMD=1 PYTHON_REMU=1 MOCKGPU=1 AMD_LLVM=1 pytest -n=12 test/test_ops.py`
When something is caught by main tinygrad tests, a local regression test should be added to `extra/assembly/amd/test`. While working with tinygrad, you can dump the assembly with `DEBUG=7`. These tests all pass on real hardware, so if a test is failing with `AMD=1 PYTHON_REMU=1 MOCKGPU=1` it's likely because an instruction is emulated incorrectly. You can test without `MOCKGPU=1` to test on real hardware, if it works on real hardware there's a bug in the emulator.
When something is caught by main tinygrad tests, a local regression test should be added to `extra/assembly/amd/test`.
While working with tinygrad, you can dump the assembly with `DEBUG=7`. These tests all pass on real hardware
If a test is failing with `AMD=1 PYTHON_REMU=1 MOCKGPU=1` it's because an instruction is emulated incorrectly.
You can test without `MOCKGPU=1` to test on real hardware, if it works on real hardware there's a bug in the emulator.
IMPORTANT: if a test is failing in the emulator, it's an instruction bug. Use DEBUG=7, get the instructions, and debug.
Currently, only RDNA3 is well supported, but when finished, this will support RDNA3+RDNA4+CDNA in ~2000 lines.
Get line count with `cloc --by-file extra/assembly/amd/*.py`
+345
View File
@@ -0,0 +1,345 @@
# AMD ISA code generator - generates enum.py, ins.py, operands.py, str_pcode.py
# Sources: XML from https://gpuopen.com/download/machine-readable-isa/latest/
# PDF manuals from AMD documentation
import re, zlib, xml.etree.ElementTree as ET, zipfile
from tinygrad.helpers import fetch
# ═══════════════════════════════════════════════════════════════════════════════
# Configuration
# ═══════════════════════════════════════════════════════════════════════════════
ARCHS = {
"rdna3": {"xml": "amdgpu_isa_rdna3_5.xml", "pdf": "https://docs.amd.com/api/khub/documents/UVVZM22UN7tMUeiW_4ShTQ/content"},
"rdna4": {"xml": "amdgpu_isa_rdna4.xml", "pdf": "https://docs.amd.com/api/khub/documents/uQpkEvk3pv~kfAb2x~j4uw/content"},
"cdna": {"xml": "amdgpu_isa_cdna4.xml", "pdf": "https://www.amd.com/content/dam/amd/en/documents/instinct-tech-docs/instruction-set-architectures/amd-instinct-cdna4-instruction-set-architecture.pdf"},
}
XML_URL = "https://gpuopen.com/download/machine-readable-isa/latest/"
# Map XML encoding names to codebase names (arch-specific overrides in ARCH_NAME_MAP)
NAME_MAP = {"VOP3_SDST_ENC": "VOP3SD", "VOPDXY": "VOPD", "VDS": "DS"}
ARCH_NAME_MAP = {"cdna": {"VOP3": "VOP3A", "VOP3_SDST_ENC": "VOP3B"}}
# Instructions missing from XML but present in PDF
FIXES = {"rdna3": {"SOPK": {22: "S_SUBVECTOR_LOOP_BEGIN", 23: "S_SUBVECTOR_LOOP_END"}, "FLAT": {55: "FLAT_ATOMIC_CSUB_U32"}},
"rdna4": {"SOP1": {80: "S_GET_BARRIER_STATE", 81: "S_BARRIER_INIT", 82: "S_BARRIER_JOIN"}, "SOPP": {9: "S_WAITCNT", 21: "S_BARRIER_LEAVE"}}}
# Encoding suffixes to strip (variants we don't generate separate classes for)
_ENC_SUFFIXES = ("_INST_LITERAL", "_VOP_DPP16", "_VOP_DPP8", "_VOP_DPP", "_VOP_SDWA", "_NSA1", "_MFMA")
# Field name normalization
_FIELD_RENAMES = {"opsel_hi_2": "opsel_hi2", "op_sel_hi_2": "opsel_hi2", "op_sel": "opsel", "bound_ctrl": "bc",
"tgt": "target", "row_en": "row", "unorm": "unrm", "clamp": "clmp", "wait_exp": "waitexp"}
# Encoding variants to skip entirely
_SKIP_ENCODINGS = ("LITERAL", "NSA", "DPP", "SDWA", "MFMA")
# ═══════════════════════════════════════════════════════════════════════════════
# XML parsing helpers
# ═══════════════════════════════════════════════════════════════════════════════
def _strip_enc(name: str) -> str:
"""Strip ENC_ prefix and encoding variant suffixes."""
name = name.removeprefix("ENC_")
for sfx in _ENC_SUFFIXES: name = name.replace(sfx, "")
return name
def _norm_field(name: str) -> str:
"""Normalize field name to match expected names."""
for old, new in _FIELD_RENAMES.items(): name = name.replace(old, new)
return name
def _map_flat(enc_name: str, instr_name: str) -> str:
"""Map FLAT/GLOBAL/SCRATCH encoding to correct enum based on instruction prefix."""
if enc_name in ("FLAT_GLBL", "FLAT_GLOBAL"): return "GLOBAL"
if enc_name == "FLAT_SCRATCH": return "SCRATCH"
if enc_name in ("FLAT", "VFLAT", "VGLOBAL", "VSCRATCH"):
v = "V" if enc_name.startswith("V") else ""
if instr_name.startswith("GLOBAL_"): return f"{v}GLOBAL"
if instr_name.startswith("SCRATCH_"): return f"{v}SCRATCH"
return f"{v}FLAT"
return enc_name
# ═══════════════════════════════════════════════════════════════════════════════
# XML parsing
# ═══════════════════════════════════════════════════════════════════════════════
def parse_xml(filename: str, arch: str):
root = ET.fromstring(zipfile.ZipFile(fetch(XML_URL)).read(filename))
name_map = {**NAME_MAP, **ARCH_NAME_MAP.get(arch, {})}
encodings, enums, types, fmts, op_types_set = {}, {}, {}, {}, set()
# Extract DataFormats with BitCount
for df in root.findall("ISA/DataFormats/DataFormat"):
name, bits = df.findtext("DataFormatName"), df.findtext("BitCount")
if name and bits: fmts[name] = int(bits)
# Extract encoding definitions
for enc in root.findall("ISA/Encodings/Encoding"):
name = enc.findtext("EncodingName")
if not name.startswith("ENC_") and name not in ("VOP3_SDST_ENC", "VOPDXY"): continue
if any(s in name for s in _SKIP_ENCODINGS): continue
fields = [(_norm_field(f.findtext("FieldName").lower()), int(f.find("BitLayout/Range").findtext("BitOffset") or 0) + int(f.find("BitLayout/Range").findtext("BitCount") or 0) - 1,
int(f.find("BitLayout/Range").findtext("BitOffset") or 0))
for f in enc.findall(".//MicrocodeFormat/BitMap/Field") if f.find("BitLayout/Range") is not None]
ident = (enc.findall("EncodingIdentifiers/EncodingIdentifier") or [None])[0]
enc_field = next((f for f in fields if f[0] == "encoding"), None)
enc_bits = "".join(ident.text[len(ident.text)-1-b] for b in range(enc_field[1], enc_field[2]-1, -1)) if ident is not None and enc_field else None
base_name = _strip_enc(name)
encodings[name_map.get(base_name, base_name)] = (fields, enc_bits)
# Extract instruction opcodes and operand info
for instr in root.findall("ISA/Instructions/Instruction"):
name = instr.findtext("InstructionName")
for enc in instr.findall("InstructionEncodings/InstructionEncoding"):
if enc.findtext("EncodingCondition") != "default": continue
base, opcode = _map_flat(_strip_enc(enc.findtext("EncodingName")), name), int(enc.findtext("Opcode") or 0)
enc_name = name_map.get(base, base)
# ADDTID instructions go in both FLAT and GLOBAL enums (pcode uses FLATOp for these)
if "ADDTID" in name:
if base == "GLOBAL": enums.setdefault("FLAT", {})[opcode] = name
elif base == "VGLOBAL": enums.setdefault("VFLAT", {})[opcode] = name
enums.setdefault(enc_name, {})[opcode] = name
# Extract operand info
op_info = {op.findtext("FieldName").lower(): (op.findtext("DataFormatName"), int(op.findtext("OperandSize") or 0), op.findtext("OperandType"))
for op in enc.findall("Operands/Operand") if op.findtext("FieldName")}
for fmt, _, otype in op_info.values():
if fmt and fmt not in fmts: fmts[fmt] = 0
if otype: op_types_set.add(otype)
if op_info: types[(name, enc_name)] = op_info
return encodings, enums, types, fmts, op_types_set
# ═══════════════════════════════════════════════════════════════════════════════
# PDF parsing
# ═══════════════════════════════════════════════════════════════════════════════
def extract_pdf_text(url: str) -> list[list[tuple[float, float, str, str]]]:
"""Extract positioned text from PDF. Returns list of text elements (x, y, text, font) per page."""
data = fetch(url).read_bytes()
# Parse xref table to locate objects
xref: dict[int, int] = {}
pos = int(re.search(rb'startxref\s+(\d+)', data).group(1)) + 4
while data[pos:pos+7] != b'trailer':
while data[pos:pos+1] in b' \r\n': pos += 1
line_end = data.find(b'\n', pos)
start_obj, count = map(int, data[pos:line_end].split()[:2])
pos = line_end + 1
for i in range(count):
if data[pos+17:pos+18] == b'n' and (off := int(data[pos:pos+10])) > 0: xref[start_obj + i] = off
pos += 20
def get_stream(n: int) -> bytes:
obj = data[xref[n]:data.find(b'endobj', xref[n])]
raw = obj[obj.find(b'stream\n') + 7:obj.find(b'\nendstream')]
return zlib.decompress(raw) if b'/FlateDecode' in obj else raw
pages = []
for n in sorted(xref):
if b'/Type /Page' not in data[xref[n]:xref[n]+500]: continue
if not (m := re.search(rb'/Contents (\d+) 0 R', data[xref[n]:xref[n]+500])): continue
stream = get_stream(int(m.group(1))).decode('latin-1')
elements, font = [], ''
for bt in re.finditer(r'BT(.*?)ET', stream, re.S):
x, y = 0.0, 0.0
for m in re.finditer(r'(/F[\d.]+) [\d.]+ Tf|([\d.+-]+) ([\d.+-]+) Td|[\d.+-]+ [\d.+-]+ [\d.+-]+ [\d.+-]+ ([\d.+-]+) ([\d.+-]+) Tm|<([0-9A-Fa-f]+)>.*?Tj|\[([^\]]+)\] TJ', bt.group(1)):
if m.group(1): font = m.group(1)
elif m.group(2): x, y = x + float(m.group(2)), y + float(m.group(3))
elif m.group(4): x, y = float(m.group(4)), float(m.group(5))
elif m.group(6) and (t := bytes.fromhex(m.group(6)).decode('latin-1')).strip(): elements.append((x, y, t, font))
elif m.group(7) and (t := ''.join(bytes.fromhex(h).decode('latin-1') for h in re.findall(r'<([0-9A-Fa-f]+)>', m.group(7)))).strip(): elements.append((x, y, t, font))
pages.append(sorted(elements, key=lambda e: (-e[1], e[0])))
return pages
def extract_pcode(pages: list[list[tuple[float, float, str, str]]], name_to_op: dict[str, int]) -> dict[tuple[str, int], str]:
"""Extract pseudocode for instructions. Returns {(name, opcode): pseudocode}."""
# First pass: find all instruction headers across all pages
all_instructions: list[tuple[int, float, str, int]] = [] # (page_idx, y, name, opcode)
for page_idx, page in enumerate(pages):
by_y: dict[int, list[tuple[float, str]]] = {}
for x, y, t, _ in page:
by_y.setdefault(round(y), []).append((x, t))
for y, items in sorted(by_y.items(), reverse=True):
left = [(x, t) for x, t in items if 55 < x < 65]
right = [(x, t) for x, t in items if 535 < x < 550]
if left and right and left[0][1] in name_to_op and right[0][1].isdigit():
all_instructions.append((page_idx, y, left[0][1], int(right[0][1])))
# Second pass: extract pseudocode between consecutive instructions
pcode: dict[tuple[str, int], str] = {}
for i, (page_idx, y, name, opcode) in enumerate(all_instructions):
if i + 1 < len(all_instructions):
next_page, next_y = all_instructions[i + 1][0], all_instructions[i + 1][1]
else:
next_page, next_y = page_idx, 0
# Collect F6 text from current position to next instruction (pseudocode is at x ≈ 69)
lines = []
for p in range(page_idx, next_page + 1):
start_y = y if p == page_idx else 800
end_y = next_y if p == next_page else 0
lines.extend((p, y2, t) for x, y2, t, f in pages[p] if f in ('/F6.0', '/F7.0') and end_y < y2 < start_y and 60 < x < 80)
if lines:
sorted_lines = sorted(lines, key=lambda x: (x[0], -x[1]))
# Stop at large Y gaps (>30) - indicates section break
filtered = [sorted_lines[0]]
for j in range(1, len(sorted_lines)):
prev_page, prev_y, _ = sorted_lines[j-1]
curr_page, curr_y, _ = sorted_lines[j]
if curr_page == prev_page and prev_y - curr_y > 30: break
if curr_page != prev_page and prev_y > 60 and curr_y < 730: break
filtered.append(sorted_lines[j])
pcode_lines = [t.replace('Ê', '').strip() for _, _, t in filtered]
if pcode_lines: pcode[(name, opcode)] = '\n'.join(pcode_lines)
return pcode
# ═══════════════════════════════════════════════════════════════════════════════
# Code generation
# ═══════════════════════════════════════════════════════════════════════════════
def write_common(all_fmts, all_op_types, path):
lines = ["# autogenerated from AMD ISA XML - do not edit", "from enum import Enum, auto", ""]
lines.append("class Fmt(Enum):")
for fmt in sorted(all_fmts.keys()): lines.append(f" {fmt} = auto()")
lines.append("")
lines.append("FMT_BITS = {")
for fmt, bits in sorted(all_fmts.items()): lines.append(f" Fmt.{fmt}: {bits},")
lines.append("}")
lines.append("")
lines.append("class OpType(Enum):")
for ot in sorted(all_op_types): lines.append(f" {ot} = auto()")
with open(path, "w") as f: f.write("\n".join(lines))
def write_enum(enums, path):
lines = ["# autogenerated from AMD ISA XML - do not edit", "from enum import Enum", "from extra.assembly.amd.autogen.common import Fmt, FMT_BITS, OpType # noqa: F401", ""]
for name, ops in sorted(enums.items()):
if not ops: continue
suffix = "_E32" if name in ("VOP1", "VOP2", "VOPC") else "_E64" if name == "VOP3" else ""
lines.append(f"class {name}Op(Enum):")
aliases = []
for op, mem in sorted(ops.items()):
msuf = suffix if name != "VOP3" or op < 512 else ""
lines.append(f" {mem}{msuf} = {op}")
if msuf: aliases.append((mem, msuf))
for mem, msuf in aliases: lines.append(f" {mem} = {mem}{msuf}")
lines.append("")
with open(path, "w") as f: f.write("\n".join(lines))
def write_ins(encodings, enums, arch, path):
_VGPR_FIELDS = {"vdst", "vdstx", "vsrc0", "vsrc1", "vsrc2", "vsrc3", "vsrcx1", "vsrcy1", "vaddr", "vdata", "data", "data0", "data1", "addr"}
def field_def(name, hi, lo, fmt, enc_bits=None):
bits = hi - lo + 1
if name == "encoding" and enc_bits: return f"FixedBitField({hi}, {lo}, 0b{enc_bits})"
if name == "op" and fmt not in ("DPP", "SDWA"): return f"EnumBitField({hi}, {lo}, {fmt}Op)"
if name in ("opx", "opy"): return f"EnumBitField({hi}, {lo}, VOPDOp)"
if name == "vdsty": return f"VDSTYField({hi}, {lo})"
if name in _VGPR_FIELDS and bits == 8: return f"VGPRField({hi}, {lo})"
if name == "sbase" and bits == 6: return f"SBaseField({hi}, {lo})"
if name in ("srsrc", "ssamp") and bits == 5: return f"SRsrcField({hi}, {lo})"
if name in ("sdst", "sdata") and bits == 7: return f"SGPRField({hi}, {lo})"
if name in ("soffset", "saddr") and bits == 7: return f"SGPRField({hi}, {lo}, default=NULL)"
if name.startswith("ssrc") and bits == 8: return f"SSrcField({hi}, {lo})"
if name in ("saddr", "soffset") and bits == 8: return f"SSrcField({hi}, {lo}, default=NULL)"
if name.startswith("src") and bits == 9: return f"SrcField({hi}, {lo})"
if fmt == "VOP3P" and name == "opsel_hi": return f"BitField({hi}, {lo}, default=3)"
if fmt == "VOP3P" and name == "opsel_hi2": return f"BitField({hi}, {lo}, default=1)"
return f"BitField({hi}, {lo})"
ORDER = ['encoding', 'op', 'opx', 'opy', 'vdst', 'vdstx', 'vdsty', 'sdst', 'vdata', 'sdata', 'addr', 'vaddr', 'data', 'data0', 'data1',
'src0', 'srcx0', 'srcy0', 'vsrc0', 'ssrc0', 'src1', 'vsrc1', 'vsrcx1', 'vsrcy1', 'ssrc1', 'src2', 'vsrc2', 'src3', 'vsrc3',
'saddr', 'sbase', 'srsrc', 'ssamp', 'soffset', 'offset', 'simm16', 'en', 'target', 'attr', 'attr_chan',
'omod', 'neg', 'neg_hi', 'abs', 'clmp', 'opsel', 'opsel_hi', 'waitexp', 'wait_va',
'dmask', 'dim', 'seg', 'format', 'offen', 'idxen', 'glc', 'dlc', 'slc', 'tfe', 'unrm', 'done', 'row']
sort_fields = lambda fields: sorted(fields, key=lambda f: (ORDER.index(f[0]) if f[0] in ORDER else 999, f[2]))
lines = ["# autogenerated from AMD ISA XML - do not edit", "# ruff: noqa: F401,F403",
"from extra.assembly.amd.dsl import *", f"from extra.assembly.amd.autogen.{arch}.enum import *", "import functools", ""]
for enc_name, (fields, enc_bits) in sorted(encodings.items()):
if enc_name in ("FLAT", "VFLAT"):
prefix = "V" if enc_name == "VFLAT" else ""
for cls, seg, op_enum in [(f"{prefix}FLAT", 0, f"{prefix}FLATOp"), (f"{prefix}GLOBAL", 2, f"{prefix}GLOBALOp"), (f"{prefix}SCRATCH", 1, f"{prefix}SCRATCHOp")]:
lines.append(f"class {cls}(Inst):")
for fn, hi, lo in sort_fields(fields):
if fn == "seg": lines.append(f" seg = FixedBitField({hi}, {lo}, {seg})")
elif fn == "op": lines.append(f" op = EnumBitField({hi}, {lo}, {op_enum})")
else: lines.append(f" {fn} = {field_def(fn, hi, lo, cls, enc_bits)}")
lines.append("")
elif enc_name not in ("FLAT_GLOBAL", "FLAT_SCRATCH", "FLAT_GLBL", "VGLOBAL", "VSCRATCH", "DPP", "SDWA"):
lines.append(f"class {enc_name}(Inst):")
for fn, hi, lo in sort_fields(fields):
lines.append(f" {fn} = {field_def(fn, hi, lo, enc_name, enc_bits if fn == 'encoding' else None)}")
lines.append("")
# SDST variants
for base, field in [("VOP1", "vdst = SSrcField(24, 17)"), ("VOP3", "vdst = SSrcField(7, 0)")]:
if base in encodings: lines += [f"class {base}_SDST({base}):", f" {field}", ""]
# Instruction helpers
lines.append("# instruction helpers")
SDST_OPS = {"V_READFIRSTLANE_B32", "V_READLANE_B32"}
for fmt, ops in sorted(enums.items()):
if fmt not in encodings and fmt not in ("GLOBAL", "SCRATCH", "VGLOBAL", "VSCRATCH"): continue
suffix = "_E32" if fmt in ("VOP1", "VOP2", "VOPC") else "_E64" if fmt == "VOP3" else ""
for op, name in sorted(ops.items()):
msuf = suffix if fmt != "VOP3" or op < 512 else ""
cls = "VOP1_SDST" if fmt == "VOP1" and name in SDST_OPS else "VOP3_SDST" if fmt == "VOP3" and (name in SDST_OPS or op < 256) else fmt
lines.append(f"{name.lower()}{msuf.lower()} = functools.partial({cls}, {fmt}Op.{name}{msuf})")
with open(path, "w") as f: f.write("\n".join(lines))
def write_operands(types, enums, arch, path):
valid = {(name, fmt) for fmt, ops in enums.items() for name in ops.values()}
lines = ["# autogenerated from AMD ISA XML - do not edit",
"from extra.assembly.amd.autogen.common import Fmt, OpType",
f"from extra.assembly.amd.autogen.{arch}.enum import *", ""]
lines.append("# instruction operand info: {Op: {field: (Fmt, size_bits, OpType)}}")
lines.append("OPERANDS = {")
def fmt_val(v):
fmt, size, otype = v
return f"({f'Fmt.{fmt}' if fmt else 'None'}, {size}, {f'OpType.{otype}' if otype else 'None'})"
for (name, enc_base), fields in sorted(types.items()):
if (name, enc_base) not in valid: continue
fstr = ", ".join(f'"{k}": {fmt_val(v)}' for k, v in sorted(fields.items()))
lines.append(f' {enc_base}Op.{name}: {{{fstr}}},')
lines.append("}")
with open(path, "w") as f: f.write("\n".join(lines))
def write_pcode(pcode: dict[tuple[str, int], str], enums: dict[str, dict[int, str]], arch: str, path: str):
"""Write str_pcode.py file from extracted pseudocode."""
entries: list[tuple[str, str, int, str]] = []
for fmt_name, ops in enums.items():
member_suffix = "_E32" if fmt_name in ("VOP1", "VOP2", "VOPC") else "_E64" if fmt_name == "VOP3" else ""
for opcode, name in ops.items():
if (name, opcode) in pcode:
msuf = member_suffix if fmt_name != "VOP3" or opcode < 512 else ""
entries.append((f"{fmt_name}Op", f"{name}{msuf}", opcode, pcode[(name, opcode)]))
enum_names = sorted(set(e[0] for e in entries))
lines = ["# autogenerated from AMD ISA PDF - do not edit", "# ruff: noqa: E501",
f"from extra.assembly.amd.autogen.{arch}.enum import {', '.join(enum_names)}", "", "PCODE = {"]
for enum_name, name, opcode, code in sorted(entries, key=lambda x: (x[0], x[2])):
lines.append(f" {enum_name}.{name}: {code!r},")
lines.append("}")
with open(path, "w") as f: f.write("\n".join(lines))
# ═══════════════════════════════════════════════════════════════════════════════
# Main
# ═══════════════════════════════════════════════════════════════════════════════
if __name__ == "__main__":
import pathlib
all_fmts, all_op_types, arch_data = {}, set(), {}
# First pass: parse XML for all architectures
for arch, cfg in ARCHS.items():
print(f"Parsing XML: {cfg['xml']} -> {arch}")
encodings, enums, types, fmts, op_types_set = parse_xml(cfg["xml"], arch)
for fmt, ops in FIXES.get(arch, {}).items(): enums.setdefault(fmt, {}).update(ops)
arch_data[arch] = {"encodings": encodings, "enums": enums, "types": types}
for fmt, bits in fmts.items():
assert fmt not in all_fmts or all_fmts[fmt] == bits, f"FMT_BITS mismatch for {fmt}: {all_fmts[fmt]} vs {bits}"
all_fmts[fmt] = bits
all_op_types.update(op_types_set)
# Write common.py
common_path = pathlib.Path(__file__).parent / "autogen" / "common.py"
write_common(all_fmts, all_op_types, common_path)
print(f"Wrote common.py: {len(all_fmts)} formats, {len(all_op_types)} op types")
# Write per-arch files from XML
for arch, data in arch_data.items():
base = pathlib.Path(__file__).parent / "autogen" / arch
write_enum(data["enums"], base / "enum.py")
write_ins(data["encodings"], data["enums"], arch, base / "ins.py")
write_operands(data["types"], data["enums"], arch, base / "operands.py")
print(f" {arch}: {len(data['encodings'])} encodings, {sum(len(v) for v in data['enums'].values())} instructions")
# Second pass: parse PDFs and write pcode
for arch, cfg in ARCHS.items():
print(f"Parsing PDF: {arch}...")
pages = extract_pdf_text(cfg["pdf"])
name_to_op = {name: op for ops in arch_data[arch]["enums"].values() for op, name in ops.items()}
pcode = extract_pcode(pages, name_to_op)
base = pathlib.Path(__file__).parent / "autogen" / arch
write_pcode(pcode, arch_data[arch]["enums"], arch, base / "str_pcode.py")
print(f" {arch}: {len(pcode)} pcode entries")
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@@ -1,581 +0,0 @@
# RDNA3 assembler and disassembler
from __future__ import annotations
import re
from extra.assembly.amd.dsl import Inst, RawImm, Reg, SrcMod, SGPR, VGPR, TTMP, s, v, ttmp, _RegFactory
from extra.assembly.amd.dsl import VCC_LO, VCC_HI, VCC, EXEC_LO, EXEC_HI, EXEC, SCC, M0, NULL, OFF
from extra.assembly.amd.dsl import SPECIAL_GPRS, SPECIAL_PAIRS, FLOAT_DEC, FLOAT_ENC, decode_src
from extra.assembly.amd.autogen.rdna3 import ins
from extra.assembly.amd.autogen.rdna3.ins import (VOP1, VOP2, VOP3, VOP3SD, VOP3P, VOPC, VOPD, VINTERP, SOP1, SOP2, SOPC, SOPK, SOPP, SMEM, DS, FLAT, MUBUF, MTBUF, MIMG, EXP,
VOP1Op, VOP2Op, VOP3Op, VOP3SDOp, VOPDOp, SOP1Op, SOPKOp, SOPPOp, SMEMOp, DSOp, MUBUFOp)
def _matches_encoding(word: int, cls: type[Inst]) -> bool:
"""Check if word matches the encoding pattern of an instruction class."""
if cls._encoding is None: return False
bf, val = cls._encoding
return ((word >> bf.lo) & bf.mask()) == val
# Order matters: more specific encodings first, VOP2 last (it's a catch-all for bit31=0)
_FORMATS_64 = [VOPD, VOP3P, VINTERP, VOP3, DS, FLAT, MUBUF, MTBUF, MIMG, SMEM, EXP]
_FORMATS_32 = [SOP1, SOPC, SOPP, SOPK, VOPC, VOP1, SOP2, VOP2] # SOP2/VOP2 are catch-alls
def detect_format(data: bytes) -> type[Inst]:
"""Detect instruction format from machine code bytes."""
assert len(data) >= 4, f"need at least 4 bytes, got {len(data)}"
word = int.from_bytes(data[:4], 'little')
# Check 64-bit formats first (bits[31:30] == 0b11)
if (word >> 30) == 0b11:
for cls in _FORMATS_64:
if _matches_encoding(word, cls):
return VOP3SD if cls is VOP3 and ((word >> 16) & 0x3ff) in Inst._VOP3SD_OPS else cls
raise ValueError(f"unknown 64-bit format word={word:#010x}")
# 32-bit formats
for cls in _FORMATS_32:
if _matches_encoding(word, cls): return cls
raise ValueError(f"unknown 32-bit format word={word:#010x}")
# ═══════════════════════════════════════════════════════════════════════════════
# CONSTANTS
# ═══════════════════════════════════════════════════════════════════════════════
HWREG = {1: 'HW_REG_MODE', 2: 'HW_REG_STATUS', 3: 'HW_REG_TRAPSTS', 4: 'HW_REG_HW_ID', 5: 'HW_REG_GPR_ALLOC',
6: 'HW_REG_LDS_ALLOC', 7: 'HW_REG_IB_STS', 15: 'HW_REG_SH_MEM_BASES', 18: 'HW_REG_PERF_SNAPSHOT_PC_LO',
19: 'HW_REG_PERF_SNAPSHOT_PC_HI', 20: 'HW_REG_FLAT_SCR_LO', 21: 'HW_REG_FLAT_SCR_HI', 22: 'HW_REG_XNACK_MASK',
23: 'HW_REG_HW_ID1', 24: 'HW_REG_HW_ID2', 25: 'HW_REG_POPS_PACKER', 28: 'HW_REG_IB_STS2'}
HWREG_IDS = {v.lower(): k for k, v in HWREG.items()}
MSG = {128: 'MSG_RTN_GET_DOORBELL', 129: 'MSG_RTN_GET_DDID', 130: 'MSG_RTN_GET_TMA',
131: 'MSG_RTN_GET_REALTIME', 132: 'MSG_RTN_SAVE_WAVE', 133: 'MSG_RTN_GET_TBA'}
# ═══════════════════════════════════════════════════════════════════════════════
# HELPERS
# ═══════════════════════════════════════════════════════════════════════════════
def _reg(p: str, b: int, n: int = 1) -> str: return f"{p}{b}" if n == 1 else f"{p}[{b}:{b+n-1}]"
def _sreg(b: int, n: int = 1) -> str: return _reg("s", b, n)
def _vreg(b: int, n: int = 1) -> str: return _reg("v", b, n)
def _ttmp(b: int, n: int = 1) -> str: return _reg("ttmp", b - 108, n) if 108 <= b <= 123 else None
def _sreg_or_ttmp(b: int, n: int = 1) -> str: return _ttmp(b, n) or _sreg(b, n)
def _fmt_sdst(v: int, n: int = 1) -> str:
if v == 124: return "null"
if t := _ttmp(v, n): return t
if n > 1: return SPECIAL_PAIRS.get(v) or _sreg(v, n)
return SPECIAL_GPRS.get(v, f"s{v}")
def _fmt_src(v: int, n: int = 1) -> str:
if n == 1: return decode_src(v)
if v >= 256: return _vreg(v - 256, n)
if v <= 105: return _sreg(v, n)
if n == 2 and v in SPECIAL_PAIRS: return SPECIAL_PAIRS[v]
if t := _ttmp(v, n): return t
return decode_src(v)
def _fmt_v16(v: int, base: int = 256, hi_thresh: int = 384) -> str:
return f"v{(v - base) & 0x7f}.{'h' if v >= hi_thresh else 'l'}"
def waitcnt(vmcnt: int = 0x3f, expcnt: int = 0x7, lgkmcnt: int = 0x3f) -> int:
return (expcnt & 0x7) | ((lgkmcnt & 0x3f) << 4) | ((vmcnt & 0x3f) << 10)
def _has(op: str, *subs) -> bool: return any(s in op for s in subs)
def _omod(v: int) -> str: return {1: " mul:2", 2: " mul:4", 3: " div:2"}.get(v, "")
def _src16(inst, v: int) -> str: return _fmt_v16(v) if v >= 256 else inst.lit(v) # format 16-bit src: vgpr.h/l or literal
def _mods(*pairs) -> str: return " ".join(m for c, m in pairs if c)
def _fmt_bits(label: str, val: int, count: int) -> str: return f"{label}:[{','.join(str((val >> i) & 1) for i in range(count))}]"
def _vop3_src(inst, v: int, neg: int, abs_: int, hi: int, n: int, f16: bool, any_hi: bool) -> str:
"""Format VOP3 source operand with modifiers."""
if n > 1: s = _fmt_src(v, n)
elif f16 and v >= 256: s = f"v{v - 256}.h" if hi else (f"v{v - 256}.l" if any_hi else inst.lit(v))
else: s = inst.lit(v)
if abs_: s = f"|{s}|"
return f"-{s}" if neg else s
def _opsel_str(opsel: int, n: int, need: bool, is16_d: bool) -> str:
"""Format op_sel modifier string."""
if not need: return ""
if is16_d and (opsel & 8): return f" op_sel:[1,1,1{',1' if n == 3 else ''}]"
if n == 3: return f" op_sel:[{opsel & 1},{(opsel >> 1) & 1},{(opsel >> 2) & 1},{(opsel >> 3) & 1}]"
return f" op_sel:[{opsel & 1},{(opsel >> 1) & 1},{(opsel >> 2) & 1}]"
# ═══════════════════════════════════════════════════════════════════════════════
# DISASSEMBLER
# ═══════════════════════════════════════════════════════════════════════════════
def _disasm_vop1(inst: VOP1) -> str:
name = inst.op_name.lower()
if inst.op in (VOP1Op.V_NOP, VOP1Op.V_PIPEFLUSH): return name
if inst.op == VOP1Op.V_READFIRSTLANE_B32: return f"v_readfirstlane_b32 {decode_src(inst.vdst)}, v{inst.src0 - 256 if inst.src0 >= 256 else inst.src0}"
# 16-bit dst: uses .h/.l suffix (determined by name pattern, not dtype - e.g. sat_pk_u8_i16 outputs 8-bit but uses 16-bit encoding)
parts = name.split('_')
is_16d = any(p in ('f16','i16','u16','b16') for p in parts[-2:-1]) or (len(parts) >= 2 and parts[-1] in ('f16','i16','u16','b16') and 'cvt' not in name)
dst = _vreg(inst.vdst, inst.dst_regs()) if inst.dst_regs() > 1 else _fmt_v16(inst.vdst, 0, 128) if is_16d else f"v{inst.vdst}"
src = _fmt_src(inst.src0, inst.src_regs(0)) if inst.src_regs(0) > 1 else _src16(inst, inst.src0) if inst.is_src_16(0) and 'sat_pk' not in name else inst.lit(inst.src0)
return f"{name}_e32 {dst}, {src}"
def _disasm_vop2(inst: VOP2) -> str:
name = inst.op_name.lower()
suf = "" if inst.op == VOP2Op.V_DOT2ACC_F32_F16 else "_e32"
# fmaak: dst = src0 * vsrc1 + K, fmamk: dst = src0 * K + vsrc1
if inst.op in (VOP2Op.V_FMAAK_F32, VOP2Op.V_FMAAK_F16): return f"{name}{suf} v{inst.vdst}, {inst.lit(inst.src0)}, v{inst.vsrc1}, 0x{inst._literal:x}"
if inst.op in (VOP2Op.V_FMAMK_F32, VOP2Op.V_FMAMK_F16): return f"{name}{suf} v{inst.vdst}, {inst.lit(inst.src0)}, 0x{inst._literal:x}, v{inst.vsrc1}"
if inst.is_16bit(): return f"{name}{suf} {_fmt_v16(inst.vdst, 0, 128)}, {_src16(inst, inst.src0)}, {_fmt_v16(inst.vsrc1, 0, 128)}"
return f"{name}{suf} v{inst.vdst}, {inst.lit(inst.src0)}, v{inst.vsrc1}" + (", vcc_lo" if inst.op == VOP2Op.V_CNDMASK_B32 else "")
def _disasm_vopc(inst: VOPC) -> str:
name = inst.op_name.lower()
s0 = _fmt_src(inst.src0, inst.src_regs(0)) if inst.src_regs(0) > 1 else _src16(inst, inst.src0) if inst.is_16bit() else inst.lit(inst.src0)
s1 = _vreg(inst.vsrc1, inst.src_regs(1)) if inst.src_regs(1) > 1 else _fmt_v16(inst.vsrc1, 0, 128) if inst.is_16bit() else f"v{inst.vsrc1}"
return f"{name}_e32 {s0}, {s1}" if inst.op.value >= 128 else f"{name}_e32 vcc_lo, {s0}, {s1}"
NO_ARG_SOPP = {SOPPOp.S_ENDPGM, SOPPOp.S_BARRIER, SOPPOp.S_WAKEUP, SOPPOp.S_ICACHE_INV,
SOPPOp.S_WAIT_IDLE, SOPPOp.S_ENDPGM_SAVED, SOPPOp.S_CODE_END, SOPPOp.S_ENDPGM_ORDERED_PS_DONE}
def _disasm_sopp(inst: SOPP) -> str:
name = inst.op_name.lower()
if inst.op in NO_ARG_SOPP: return name
if inst.op == SOPPOp.S_WAITCNT:
vm, exp, lgkm = (inst.simm16 >> 10) & 0x3f, inst.simm16 & 0xf, (inst.simm16 >> 4) & 0x3f
p = [f"vmcnt({vm})" if vm != 0x3f else "", f"expcnt({exp})" if exp != 7 else "", f"lgkmcnt({lgkm})" if lgkm != 0x3f else ""]
return f"s_waitcnt {' '.join(x for x in p if x) or '0'}"
if inst.op == SOPPOp.S_DELAY_ALU:
deps, skips = ['VALU_DEP_1','VALU_DEP_2','VALU_DEP_3','VALU_DEP_4','TRANS32_DEP_1','TRANS32_DEP_2','TRANS32_DEP_3','FMA_ACCUM_CYCLE_1','SALU_CYCLE_1','SALU_CYCLE_2','SALU_CYCLE_3'], ['SAME','NEXT','SKIP_1','SKIP_2','SKIP_3','SKIP_4']
id0, skip, id1 = inst.simm16 & 0xf, (inst.simm16 >> 4) & 0x7, (inst.simm16 >> 7) & 0xf
dep = lambda v: deps[v-1] if 0 < v <= len(deps) else str(v)
p = [f"instid0({dep(id0)})" if id0 else "", f"instskip({skips[skip]})" if skip else "", f"instid1({dep(id1)})" if id1 else ""]
return f"s_delay_alu {' | '.join(x for x in p if x) or '0'}"
return f"{name} {inst.simm16}" if name.startswith(('s_cbranch', 's_branch')) else f"{name} 0x{inst.simm16:x}"
def _disasm_smem(inst: SMEM) -> str:
name = inst.op_name.lower()
if inst.op in (SMEMOp.S_GL1_INV, SMEMOp.S_DCACHE_INV): return name
off_s = f"{decode_src(inst.soffset)} offset:0x{inst.offset:x}" if inst.offset and inst.soffset != 124 else f"0x{inst.offset:x}" if inst.offset else decode_src(inst.soffset)
sbase_idx, sbase_count = inst.sbase * 2, 4 if (8 <= inst.op.value <= 12 or name == 's_atc_probe_buffer') else 2
sbase_str = _fmt_src(sbase_idx, sbase_count) if sbase_count == 2 else _sreg(sbase_idx, sbase_count) if sbase_idx <= 105 else _reg("ttmp", sbase_idx - 108, sbase_count)
if name in ('s_atc_probe', 's_atc_probe_buffer'): return f"{name} {inst.sdata}, {sbase_str}, {off_s}"
return f"{name} {_fmt_sdst(inst.sdata, inst.dst_regs())}, {sbase_str}, {off_s}" + _mods((inst.glc, " glc"), (inst.dlc, " dlc"))
def _disasm_flat(inst: FLAT) -> str:
name = inst.op_name.lower()
seg = ['flat', 'scratch', 'global'][inst.seg] if inst.seg < 3 else 'flat'
instr = f"{seg}_{name.split('_', 1)[1] if '_' in name else name}"
off_val = inst.offset if seg == 'flat' else (inst.offset if inst.offset < 4096 else inst.offset - 8192)
w = inst.dst_regs() * (2 if 'cmpswap' in name else 1)
mods = f"{f' offset:{off_val}' if off_val else ''}{' glc' if inst.glc else ''}{' slc' if inst.slc else ''}{' dlc' if inst.dlc else ''}"
# saddr
if seg == 'flat' or inst.saddr == 0x7F: saddr_s = ""
elif inst.saddr == 124: saddr_s = ", off"
elif seg == 'scratch': saddr_s = f", {decode_src(inst.saddr)}"
elif inst.saddr in SPECIAL_PAIRS: saddr_s = f", {SPECIAL_PAIRS[inst.saddr]}"
elif t := _ttmp(inst.saddr, 2): saddr_s = f", {t}"
else: saddr_s = f", {_sreg(inst.saddr, 2) if inst.saddr < 106 else decode_src(inst.saddr)}"
# addtid: no addr
if 'addtid' in name: return f"{instr} v{inst.data if 'store' in name else inst.vdst}{saddr_s}{mods}"
# addr width
addr_s = "off" if not inst.sve and seg == 'scratch' else _vreg(inst.addr, 1 if seg == 'scratch' or (inst.saddr not in (0x7F, 124)) else 2)
data_s, vdst_s = _vreg(inst.data, w), _vreg(inst.vdst, w // 2 if 'cmpswap' in name else w)
if 'atomic' in name:
return f"{instr} {vdst_s}, {addr_s}, {data_s}{saddr_s if seg != 'flat' else ''}{mods}" if inst.glc else f"{instr} {addr_s}, {data_s}{saddr_s if seg != 'flat' else ''}{mods}"
if 'store' in name: return f"{instr} {addr_s}, {data_s}{saddr_s}{mods}"
return f"{instr} {_vreg(inst.vdst, w)}, {addr_s}{saddr_s}{mods}"
def _disasm_ds(inst: DS) -> str:
op, name = inst.op, inst.op_name.lower()
gds = " gds" if inst.gds else ""
off = f" offset:{inst.offset0 | (inst.offset1 << 8)}" if inst.offset0 or inst.offset1 else ""
off2 = f" offset0:{inst.offset0} offset1:{inst.offset1}" if inst.offset0 or inst.offset1 else ""
w = inst.dst_regs()
d0, d1, dst, addr = _vreg(inst.data0, w), _vreg(inst.data1, w), _vreg(inst.vdst, w), f"v{inst.addr}"
if op == DSOp.DS_NOP: return name
if op == DSOp.DS_BVH_STACK_RTN_B32: return f"{name} v{inst.vdst}, {addr}, v{inst.data0}, {_vreg(inst.data1, 4)}{off}{gds}"
if 'gws_sema' in name and op != DSOp.DS_GWS_SEMA_BR: return f"{name}{off}{gds}"
if 'gws_' in name: return f"{name} {addr}{off}{gds}"
if op in (DSOp.DS_CONSUME, DSOp.DS_APPEND): return f"{name} v{inst.vdst}{off}{gds}"
if 'gs_reg' in name: return f"{name} {_vreg(inst.vdst, 2)}, v{inst.data0}{off}{gds}"
if '2addr' in name:
if 'load' in name: return f"{name} {_vreg(inst.vdst, w*2)}, {addr}{off2}{gds}"
if 'store' in name and 'xchg' not in name: return f"{name} {addr}, {d0}, {d1}{off2}{gds}"
return f"{name} {_vreg(inst.vdst, w*2)}, {addr}, {d0}, {d1}{off2}{gds}"
if 'load' in name: return f"{name} v{inst.vdst}{off}{gds}" if 'addtid' in name else f"{name} {dst}, {addr}{off}{gds}"
if 'store' in name and not _has(name, 'cmp', 'xchg'):
return f"{name} v{inst.data0}{off}{gds}" if 'addtid' in name else f"{name} {addr}, {d0}{off}{gds}"
if 'swizzle' in name or op == DSOp.DS_ORDERED_COUNT: return f"{name} v{inst.vdst}, {addr}{off}{gds}"
if 'permute' in name: return f"{name} v{inst.vdst}, {addr}, v{inst.data0}{off}{gds}"
if 'condxchg' in name: return f"{name} {_vreg(inst.vdst, 2)}, {addr}, {_vreg(inst.data0, 2)}{off}{gds}"
if _has(name, 'cmpstore', 'mskor', 'wrap'):
return f"{name} {dst}, {addr}, {d0}, {d1}{off}{gds}" if '_rtn' in name else f"{name} {addr}, {d0}, {d1}{off}{gds}"
return f"{name} {dst}, {addr}, {d0}{off}{gds}" if '_rtn' in name else f"{name} {addr}, {d0}{off}{gds}"
def _disasm_vop3(inst: VOP3) -> str:
op, name = inst.op, inst.op_name.lower()
# VOP3SD (shared encoding)
if isinstance(op, VOP3SDOp):
sdst = (inst.clmp << 7) | (inst.opsel << 3) | inst.abs
def src(v, neg, n): s = _fmt_src(v, n) if n > 1 else inst.lit(v); return f"-{s}" if neg else s
s0, s1, s2 = src(inst.src0, inst.neg & 1, inst.src_regs(0)), src(inst.src1, inst.neg & 2, inst.src_regs(1)), src(inst.src2, inst.neg & 4, inst.src_regs(2))
dst = _vreg(inst.vdst, inst.dst_regs()) if inst.dst_regs() > 1 else f"v{inst.vdst}"
srcs = f"{s0}, {s1}, {s2}" if inst.num_srcs() == 3 else f"{s0}, {s1}"
return f"{name} {dst}, {_fmt_sdst(sdst, 1)}, {srcs}" + _omod(inst.omod)
# Detect 16-bit operand sizes (for .h/.l suffix handling)
is16_d = is16_s = is16_s2 = False
if 'cvt_pk' in name: is16_s = name.endswith('16')
elif m := re.match(r'v_(?:cvt|frexp_exp)_([a-z0-9_]+)_([a-z0-9]+)', name):
is16_d, is16_s = _has(m.group(1), 'f16','i16','u16','b16'), _has(m.group(2), 'f16','i16','u16','b16')
is16_s2 = is16_s
elif re.match(r'v_mad_[iu]32_[iu]16', name): is16_s = True
elif 'pack_b32' in name: is16_s = is16_s2 = True
else: is16_d = is16_s = is16_s2 = inst.is_16bit()
any_hi = inst.opsel != 0
s0 = _vop3_src(inst, inst.src0, inst.neg&1, inst.abs&1, inst.opsel&1, inst.src_regs(0), is16_s, any_hi)
s1 = _vop3_src(inst, inst.src1, inst.neg&2, inst.abs&2, inst.opsel&2, inst.src_regs(1), is16_s, any_hi)
s2 = _vop3_src(inst, inst.src2, inst.neg&4, inst.abs&4, inst.opsel&4, inst.src_regs(2), is16_s2, any_hi)
# Destination
dn = inst.dst_regs()
if op == VOP3Op.V_READLANE_B32: dst = _fmt_sdst(inst.vdst, 1)
elif dn > 1: dst = _vreg(inst.vdst, dn)
elif is16_d: dst = f"v{inst.vdst}.h" if (inst.opsel & 8) else f"v{inst.vdst}.l" if any_hi else f"v{inst.vdst}"
else: dst = f"v{inst.vdst}"
cl, om = " clamp" if inst.clmp else "", _omod(inst.omod)
nonvgpr_opsel = (inst.src0 < 256 and (inst.opsel & 1)) or (inst.src1 < 256 and (inst.opsel & 2)) or (inst.src2 < 256 and (inst.opsel & 4))
need_opsel = nonvgpr_opsel or (inst.opsel and not is16_s)
if inst.op < 256: # VOPC
return f"{name}_e64 {s0}, {s1}" if name.startswith('v_cmpx') else f"{name}_e64 {_fmt_sdst(inst.vdst, 1)}, {s0}, {s1}"
if inst.op < 384: # VOP2
n = inst.num_srcs()
os = _opsel_str(inst.opsel, n, need_opsel, is16_d)
return f"{name}_e64 {dst}, {s0}, {s1}, {s2}{os}{cl}{om}" if n == 3 else f"{name}_e64 {dst}, {s0}, {s1}{os}{cl}{om}"
if inst.op < 512: # VOP1
return f"{name}_e64" if op in (VOP3Op.V_NOP, VOP3Op.V_PIPEFLUSH) else f"{name}_e64 {dst}, {s0}{_opsel_str(inst.opsel, 1, need_opsel, is16_d)}{cl}{om}"
# Native VOP3
n = inst.num_srcs()
os = _opsel_str(inst.opsel, n, need_opsel, is16_d)
return f"{name} {dst}, {s0}, {s1}, {s2}{os}{cl}{om}" if n == 3 else f"{name} {dst}, {s0}, {s1}{os}{cl}{om}"
def _disasm_vop3sd(inst: VOP3SD) -> str:
name = inst.op_name.lower()
def src(v, neg, n): s = _fmt_src(v, n) if n > 1 else inst.lit(v); return f"-{s}" if neg else s
s0, s1, s2 = src(inst.src0, inst.neg & 1, inst.src_regs(0)), src(inst.src1, inst.neg & 2, inst.src_regs(1)), src(inst.src2, inst.neg & 4, inst.src_regs(2))
dst = _vreg(inst.vdst, inst.dst_regs()) if inst.dst_regs() > 1 else f"v{inst.vdst}"
srcs = f"{s0}, {s1}, {s2}" if inst.num_srcs() == 3 else f"{s0}, {s1}"
suffix = "_e64" if name.startswith('v_') and 'co_' in name else ""
return f"{name}{suffix} {dst}, {_fmt_sdst(inst.sdst, 1)}, {srcs}{' clamp' if inst.clmp else ''}{_omod(inst.omod)}"
def _disasm_vopd(inst: VOPD) -> str:
lit = inst._literal or inst.literal
vdst_y, nx, ny = (inst.vdsty << 1) | ((inst.vdstx & 1) ^ 1), VOPDOp(inst.opx).name.lower(), VOPDOp(inst.opy).name.lower()
def half(n, vd, s0, vs1): return f"{n} v{vd}, {inst.lit(s0)}{f', 0x{lit:x}' if lit and _has(n, 'fmaak', 'fmamk') else ''}" if 'mov' in n else f"{n} v{vd}, {inst.lit(s0)}, v{vs1}{f', 0x{lit:x}' if lit and _has(n, 'fmaak', 'fmamk') else ''}"
return f"{half(nx, inst.vdstx, inst.srcx0, inst.vsrcx1)} :: {half(ny, vdst_y, inst.srcy0, inst.vsrcy1)}"
def _disasm_vop3p(inst: VOP3P) -> str:
name = inst.op_name.lower()
is_wmma, n, is_fma_mix = 'wmma' in name, inst.num_srcs(), 'fma_mix' in name
if is_wmma:
sc = 2 if 'iu4' in name else 4 if 'iu8' in name else 8
src0, src1, src2, dst = _fmt_src(inst.src0, sc), _fmt_src(inst.src1, sc), _fmt_src(inst.src2, 8), _vreg(inst.vdst, 8)
else: src0, src1, src2, dst = _fmt_src(inst.src0, 1), _fmt_src(inst.src1, 1), _fmt_src(inst.src2, 1), f"v{inst.vdst}"
opsel_hi = inst.opsel_hi | (inst.opsel_hi2 << 2)
if is_fma_mix:
def m(s, neg, abs_): return f"-{f'|{s}|' if abs_ else s}" if neg else (f"|{s}|" if abs_ else s)
src0, src1, src2 = m(src0, inst.neg & 1, inst.neg_hi & 1), m(src1, inst.neg & 2, inst.neg_hi & 2), m(src2, inst.neg & 4, inst.neg_hi & 4)
mods = ([_fmt_bits("op_sel", inst.opsel, n)] if inst.opsel else []) + ([_fmt_bits("op_sel_hi", opsel_hi, n)] if opsel_hi else []) + (["clamp"] if inst.clmp else [])
else:
mods = ([_fmt_bits("op_sel", inst.opsel, n)] if inst.opsel else []) + ([_fmt_bits("op_sel_hi", opsel_hi, n)] if opsel_hi != (7 if n == 3 else 3) else []) + \
([_fmt_bits("neg_lo", inst.neg, n)] if inst.neg else []) + ([_fmt_bits("neg_hi", inst.neg_hi, n)] if inst.neg_hi else []) + (["clamp"] if inst.clmp else [])
return f"{name} {dst}, {src0}, {src1}, {src2}{' ' + ' '.join(mods) if mods else ''}" if n == 3 else f"{name} {dst}, {src0}, {src1}{' ' + ' '.join(mods) if mods else ''}"
def _disasm_buf(inst: MUBUF | MTBUF) -> str:
name = inst.op_name.lower()
if inst.op in (MUBUFOp.BUFFER_GL0_INV, MUBUFOp.BUFFER_GL1_INV): return name
w = (2 if _has(name, 'xyz', 'xyzw') else 1) if 'd16' in name else \
((2 if _has(name, 'b64', 'u64', 'i64') else 1) * (2 if 'cmpswap' in name else 1)) if 'atomic' in name else \
{'b32':1,'b64':2,'b96':3,'b128':4,'b16':1,'x':1,'xy':2,'xyz':3,'xyzw':4}.get(name.split('_')[-1], 1)
if inst.tfe: w += 1
vaddr = _vreg(inst.vaddr, 2) if inst.offen and inst.idxen else f"v{inst.vaddr}" if inst.offen or inst.idxen else "off"
srsrc = _sreg_or_ttmp(inst.srsrc*4, 4)
mods = ([f"format:{inst.format}"] if isinstance(inst, MTBUF) else []) + [m for c, m in [(inst.idxen,"idxen"),(inst.offen,"offen"),(inst.offset,f"offset:{inst.offset}"),(inst.glc,"glc"),(inst.dlc,"dlc"),(inst.slc,"slc"),(inst.tfe,"tfe")] if c]
return f"{name} {_vreg(inst.vdata, w)}, {vaddr}, {srsrc}, {decode_src(inst.soffset)}{' ' + ' '.join(mods) if mods else ''}"
def _mimg_vaddr_width(name: str, dim: int, a16: bool) -> int:
"""Calculate vaddr register count for MIMG sample/gather operations."""
# 1d,2d,3d,cube,1d_arr,2d_arr,2d_msaa,2d_msaa_arr
base = [1, 2, 3, 3, 2, 3, 3, 4][dim] # address coords
grad = [1, 2, 3, 2, 1, 2, 2, 2][dim] # gradient coords (for derivatives)
if 'get_resinfo' in name: return 1 # only mip level
packed, unpacked = 0, 0
if '_mip' in name: packed += 1
elif 'sample' in name or 'gather' in name:
if '_o' in name: unpacked += 1 # offset
if re.search(r'_c(_|$)', name): unpacked += 1 # compare (not _cl)
if '_d' in name: unpacked += (grad + 1) & ~1 if '_g16' in name else grad*2 # derivatives
if '_b' in name: unpacked += 1 # bias
if '_l' in name and '_cl' not in name and '_lz' not in name: packed += 1 # LOD
if '_cl' in name: packed += 1 # clamp
return (base + packed + 1) // 2 + unpacked if a16 else base + packed + unpacked
def _disasm_mimg(inst: MIMG) -> str:
name = inst.op_name.lower()
srsrc_base = inst.srsrc * 4
srsrc_str = _sreg_or_ttmp(srsrc_base, 8)
# BVH intersect ray: special case with 4 SGPR srsrc
if 'bvh' in name:
vaddr = (9 if '64' in name else 8) if inst.a16 else (12 if '64' in name else 11)
return f"{name} {_vreg(inst.vdata, 4)}, {_vreg(inst.vaddr, vaddr)}, {_sreg_or_ttmp(srsrc_base, 4)}{' a16' if inst.a16 else ''}"
# vdata width from dmask (gather4/msaa_load always 4), d16 packs, tfe adds 1
vdata = 4 if 'gather4' in name or 'msaa_load' in name else (bin(inst.dmask).count('1') or 1)
if inst.d16: vdata = (vdata + 1) // 2
if inst.tfe: vdata += 1
# vaddr width
dim_names = ['1d', '2d', '3d', 'cube', '1d_array', '2d_array', '2d_msaa', '2d_msaa_array']
dim = dim_names[inst.dim] if inst.dim < len(dim_names) else f"dim_{inst.dim}"
vaddr = _mimg_vaddr_width(name, inst.dim, inst.a16)
vaddr_str = f"v{inst.vaddr}" if vaddr == 1 else _vreg(inst.vaddr, vaddr)
# modifiers
mods = [f"dmask:0x{inst.dmask:x}"] if inst.dmask and (inst.dmask != 15 or 'atomic' in name) else []
mods.append(f"dim:SQ_RSRC_IMG_{dim.upper()}")
for flag, mod in [(inst.unrm,"unorm"),(inst.glc,"glc"),(inst.slc,"slc"),(inst.dlc,"dlc"),(inst.r128,"r128"),
(inst.a16,"a16"),(inst.tfe,"tfe"),(inst.lwe,"lwe"),(inst.d16,"d16")]:
if flag: mods.append(mod)
# ssamp for sample/gather/get_lod
ssamp_str = ""
if 'sample' in name or 'gather' in name or 'get_lod' in name:
ssamp_str = ", " + _sreg_or_ttmp(inst.ssamp * 4, 4)
return f"{name} {_vreg(inst.vdata, vdata)}, {vaddr_str}, {srsrc_str}{ssamp_str} {' '.join(mods)}"
def _disasm_sop1(inst: SOP1) -> str:
op, name = inst.op, inst.op_name.lower()
if op == SOP1Op.S_GETPC_B64: return f"{name} {_fmt_sdst(inst.sdst, 2)}"
if op in (SOP1Op.S_SETPC_B64, SOP1Op.S_RFE_B64): return f"{name} {_fmt_src(inst.ssrc0, 2)}"
if op == SOP1Op.S_SWAPPC_B64: return f"{name} {_fmt_sdst(inst.sdst, 2)}, {_fmt_src(inst.ssrc0, 2)}"
if op in (SOP1Op.S_SENDMSG_RTN_B32, SOP1Op.S_SENDMSG_RTN_B64): return f"{name} {_fmt_sdst(inst.sdst, inst.dst_regs())}, sendmsg({MSG.get(inst.ssrc0, str(inst.ssrc0))})"
return f"{name} {_fmt_sdst(inst.sdst, inst.dst_regs())}, {inst.lit(inst.ssrc0) if inst.src_regs(0) == 1 else _fmt_src(inst.ssrc0, inst.src_regs(0))}"
def _disasm_sop2(inst: SOP2) -> str:
return f"{inst.op_name.lower()} {_fmt_sdst(inst.sdst, inst.dst_regs())}, {inst.lit(inst.ssrc0) if inst.ssrc0 == 255 else _fmt_src(inst.ssrc0, inst.src_regs(0))}, {inst.lit(inst.ssrc1) if inst.ssrc1 == 255 else _fmt_src(inst.ssrc1, inst.src_regs(1))}"
def _disasm_sopc(inst: SOPC) -> str:
return f"{inst.op_name.lower()} {_fmt_src(inst.ssrc0, inst.src_regs(0))}, {_fmt_src(inst.ssrc1, inst.src_regs(1))}"
def _disasm_sopk(inst: SOPK) -> str:
op, name = inst.op, inst.op_name.lower()
if op == SOPKOp.S_VERSION: return f"{name} 0x{inst.simm16:x}"
if op in (SOPKOp.S_SETREG_B32, SOPKOp.S_GETREG_B32):
hid, hoff, hsz = inst.simm16 & 0x3f, (inst.simm16 >> 6) & 0x1f, ((inst.simm16 >> 11) & 0x1f) + 1
hs = f"0x{inst.simm16:x}" if hid in (16, 17) else f"hwreg({HWREG.get(hid, str(hid))}, {hoff}, {hsz})"
return f"{name} {hs}, {_fmt_sdst(inst.sdst, 1)}" if op == SOPKOp.S_SETREG_B32 else f"{name} {_fmt_sdst(inst.sdst, 1)}, {hs}"
return f"{name} {_fmt_sdst(inst.sdst, inst.dst_regs())}, 0x{inst.simm16:x}"
def _disasm_vinterp(inst: VINTERP) -> str:
mods = _mods((inst.waitexp, f"wait_exp:{inst.waitexp}"), (inst.clmp, "clamp"))
return f"{inst.op_name.lower()} v{inst.vdst}, {inst.lit(inst.src0, inst.neg & 1)}, {inst.lit(inst.src1, inst.neg & 2)}, {inst.lit(inst.src2, inst.neg & 4)}" + (" " + mods if mods else "")
DISASM_HANDLERS = {VOP1: _disasm_vop1, VOP2: _disasm_vop2, VOPC: _disasm_vopc, VOP3: _disasm_vop3, VOP3SD: _disasm_vop3sd, VOPD: _disasm_vopd, VOP3P: _disasm_vop3p,
VINTERP: _disasm_vinterp, SOPP: _disasm_sopp, SMEM: _disasm_smem, DS: _disasm_ds, FLAT: _disasm_flat, MUBUF: _disasm_buf, MTBUF: _disasm_buf,
MIMG: _disasm_mimg, SOP1: _disasm_sop1, SOP2: _disasm_sop2, SOPC: _disasm_sopc, SOPK: _disasm_sopk}
def disasm(inst: Inst) -> str: return DISASM_HANDLERS[type(inst)](inst)
# ═══════════════════════════════════════════════════════════════════════════════
# ASSEMBLER
# ═══════════════════════════════════════════════════════════════════════════════
SPEC_REGS = {'vcc_lo': RawImm(106), 'vcc_hi': RawImm(107), 'vcc': RawImm(106), 'null': RawImm(124), 'off': RawImm(124), 'm0': RawImm(125),
'exec_lo': RawImm(126), 'exec_hi': RawImm(127), 'exec': RawImm(126), 'scc': RawImm(253), 'src_scc': RawImm(253)}
FLOATS = {str(k): k for k in FLOAT_ENC} # Valid float literal strings: '0.5', '-0.5', '1.0', etc.
REG_MAP: dict[str, _RegFactory] = {'s': s, 'v': v, 't': ttmp, 'ttmp': ttmp}
SMEM_OPS = {'s_load_b32', 's_load_b64', 's_load_b128', 's_load_b256', 's_load_b512',
's_buffer_load_b32', 's_buffer_load_b64', 's_buffer_load_b128', 's_buffer_load_b256', 's_buffer_load_b512'}
SPEC_DSL = {'vcc_lo': 'VCC_LO', 'vcc_hi': 'VCC_HI', 'vcc': 'VCC_LO', 'null': 'NULL', 'off': 'OFF', 'm0': 'M0',
'exec_lo': 'EXEC_LO', 'exec_hi': 'EXEC_HI', 'exec': 'EXEC_LO', 'scc': 'SCC', 'src_scc': 'SCC'}
def _op2dsl(op: str) -> str:
op = op.strip()
neg = op.startswith('-') and not (op[1:2].isdigit() or (len(op) > 2 and op[1] == '0' and op[2] in 'xX'))
if neg: op = op[1:]
abs_ = (op.startswith('|') and op.endswith('|')) or (op.startswith('abs(') and op.endswith(')'))
if abs_: op = op[1:-1] if op.startswith('|') else op[4:-1]
hi = ".h" if op.endswith('.h') else ".l" if op.endswith('.l') else ""
if hi: op = op[:-2]
lo = op.lower()
def wrap(b): return f"{'-' if neg else ''}abs({b}){hi}" if abs_ else f"-{b}{hi}" if neg else f"{b}{hi}"
if lo in SPEC_DSL: return wrap(SPEC_DSL[lo])
if op in FLOATS: return wrap(op)
rp = {'s': 's', 'v': 'v', 't': 'ttmp', 'ttmp': 'ttmp'}
if m := re.match(r'^([svt](?:tmp)?)\[(\d+):(\d+)\]$', lo): return wrap(f"{rp[m.group(1)]}[{m.group(2)}:{m.group(3)}]")
if m := re.match(r'^([svt](?:tmp)?)(\d+)$', lo): return wrap(f"{rp[m.group(1)]}[{m.group(2)}]")
if re.match(r'^-?\d+$|^-?0x[0-9a-fA-F]+$', op): return f"SrcMod({op}, neg={neg}, abs_={abs_})" if neg or abs_ else op
return wrap(op)
def _parse_ops(s: str) -> list[str]:
ops, cur, depth, pipe = [], "", 0, False
for c in s:
if c in '[(': depth += 1
elif c in '])': depth -= 1
elif c == '|': pipe = not pipe
if c == ',' and depth == 0 and not pipe: ops.append(cur.strip()); cur = ""
else: cur += c
if cur.strip(): ops.append(cur.strip())
return ops
def _extract(text: str, pat: str, flags=re.I):
if m := re.search(pat, text, flags): return m, text[:m.start()] + text[m.end():]
return None, text
def get_dsl(text: str) -> str:
text, kw = text.strip(), []
# Extract modifiers
for pat, val in [(r'\s+mul:2(?:\s|$)', 1), (r'\s+mul:4(?:\s|$)', 2), (r'\s+div:2(?:\s|$)', 3)]:
if (m := _extract(text, pat))[0]: kw.append(f'omod={val}'); text = m[1]; break
if (m := _extract(text, r'\s+clamp(?:\s|$)'))[0]: kw.append('clmp=1'); text = m[1]
opsel, m, text = None, *_extract(text, r'\s+op_sel:\[([^\]]+)\]')
if m:
bits, mn = [int(x.strip()) for x in m.group(1).split(',')], text.split()[0].lower()
is3p = mn.startswith(('v_pk_', 'v_wmma_', 'v_dot'))
opsel = (bits[0] | (bits[1] << 1) | (bits[2] << 2)) if len(bits) == 3 and is3p else \
(bits[0] | (bits[1] << 1) | (bits[2] << 3)) if len(bits) == 3 else sum(b << i for i, b in enumerate(bits))
m, text = _extract(text, r'\s+wait_exp:(\d+)'); waitexp = m.group(1) if m else None
m, text = _extract(text, r'\s+offset:(0x[0-9a-fA-F]+|-?\d+)'); off_val = m.group(1) if m else None
m, text = _extract(text, r'\s+dlc(?:\s|$)'); dlc = 1 if m else None
m, text = _extract(text, r'\s+glc(?:\s|$)'); glc = 1 if m else None
m, text = _extract(text, r'\s+slc(?:\s|$)'); slc = 1 if m else None
m, text = _extract(text, r'\s+neg_lo:\[([^\]]+)\]'); neg_lo = sum(int(x.strip()) << i for i, x in enumerate(m.group(1).split(','))) if m else None
m, text = _extract(text, r'\s+neg_hi:\[([^\]]+)\]'); neg_hi = sum(int(x.strip()) << i for i, x in enumerate(m.group(1).split(','))) if m else None
if waitexp: kw.append(f'waitexp={waitexp}')
parts = text.replace(',', ' ').split()
if not parts: raise ValueError("empty instruction")
mn, op_str = parts[0].lower(), text[len(parts[0]):].strip()
ops, args = _parse_ops(op_str), [_op2dsl(o) for o in _parse_ops(op_str)]
# s_waitcnt
if mn == 's_waitcnt':
vm, exp, lgkm = 0x3f, 0x7, 0x3f
for p in op_str.replace(',', ' ').split():
if m := re.match(r'vmcnt\((\d+)\)', p): vm = int(m.group(1))
elif m := re.match(r'expcnt\((\d+)\)', p): exp = int(m.group(1))
elif m := re.match(r'lgkmcnt\((\d+)\)', p): lgkm = int(m.group(1))
elif re.match(r'^0x[0-9a-f]+$|^\d+$', p): return f"s_waitcnt(simm16={int(p, 0)})"
return f"s_waitcnt(simm16={waitcnt(vm, exp, lgkm)})"
# VOPD
if '::' in text:
xp, yp = text.split('::')
xps, yps = xp.strip().replace(',', ' ').split(), yp.strip().replace(',', ' ').split()
xo, yo = [_op2dsl(p) for p in xps[1:]], [_op2dsl(p) for p in yps[1:]]
vdx, sx0, vsx1 = xo[0], xo[1] if len(xo) > 1 else '0', xo[2] if len(xo) > 2 else 'v[0]'
vdy, sy0, vsy1 = yo[0], yo[1] if len(yo) > 1 else '0', yo[2] if len(yo) > 2 else 'v[0]'
lit = xo[3] if 'fmaak' in xps[0].lower() and len(xo) > 3 else yo[3] if 'fmaak' in yps[0].lower() and len(yo) > 3 else None
if 'fmamk' in xps[0].lower() and len(xo) > 3: lit, vsx1 = xo[2], xo[3]
elif 'fmamk' in yps[0].lower() and len(yo) > 3: lit, vsy1 = yo[2], yo[3]
return f"VOPD(VOPDOp.{xps[0].upper()}, VOPDOp.{yps[0].upper()}, vdstx={vdx}, vdsty={vdy}, srcx0={sx0}, vsrcx1={vsx1}, srcy0={sy0}, vsrcy1={vsy1}{f', literal={lit}' if lit else ''})"
# Special instructions
if mn == 's_setreg_imm32_b32': raise ValueError(f"unsupported: {mn}")
if mn in ('s_setpc_b64', 's_rfe_b64'): return f"{mn}(ssrc0={args[0]})"
if mn in ('s_sendmsg_rtn_b32', 's_sendmsg_rtn_b64'): return f"{mn}(sdst={args[0]}, ssrc0=RawImm({args[1].strip()}))"
if mn == 's_version': return f"{mn}(simm16={args[0]})"
if mn == 's_setreg_b32': return f"{mn}(simm16={args[0]}, sdst={args[1]})"
# SMEM
if mn in SMEM_OPS:
gs, ds = ", glc=1" if glc else "", ", dlc=1" if dlc else ""
if len(ops) >= 3 and re.match(r'^-?[0-9]|^-?0x', ops[2].strip().lower()):
return f"{mn}(sdata={args[0]}, sbase={args[1]}, offset={args[2]}, soffset=RawImm(124){gs}{ds})"
if off_val and len(ops) >= 3: return f"{mn}(sdata={args[0]}, sbase={args[1]}, offset={off_val}, soffset={args[2]}{gs}{ds})"
if len(ops) >= 3: return f"{mn}(sdata={args[0]}, sbase={args[1]}, soffset={args[2]}{gs}{ds})"
# Buffer
if mn.startswith('buffer_') and len(ops) >= 2 and ops[1].strip().lower() == 'off':
return f"{mn}(vdata={args[0]}, vaddr=0, srsrc={args[2]}, soffset={f'RawImm({args[3].strip()})' if len(args) > 3 else 'RawImm(0)'})"
# FLAT/GLOBAL/SCRATCH load/store/atomic - saddr needs RawImm(124) for off/null
def _saddr(a): return 'RawImm(124)' if a in ('OFF', 'NULL') else a
flat_mods = f"{f', offset={off_val}' if off_val else ''}{', glc=1' if glc else ''}{', slc=1' if slc else ''}{', dlc=1' if dlc else ''}"
for pre, flds in [('flat_load','vdst,addr,saddr'), ('global_load','vdst,addr,saddr'), ('scratch_load','vdst,addr,saddr'),
('flat_store','addr,data,saddr'), ('global_store','addr,data,saddr'), ('scratch_store','addr,data,saddr')]:
if mn.startswith(pre) and len(args) >= 2:
f0, f1, f2 = flds.split(',')
return f"{mn}({f0}={args[0]}, {f1}={args[1]}{f', {f2}={_saddr(args[2])}' if len(args) >= 3 else ', saddr=RawImm(124)'}{flat_mods})"
for pre in ('flat_atomic', 'global_atomic', 'scratch_atomic'):
if mn.startswith(pre):
if glc and len(args) >= 3: return f"{mn}(vdst={args[0]}, addr={args[1]}, data={args[2]}{f', saddr={_saddr(args[3])}' if len(args) >= 4 else ', saddr=RawImm(124)'}{flat_mods})"
if len(args) >= 2: return f"{mn}(addr={args[0]}, data={args[1]}{f', saddr={_saddr(args[2])}' if len(args) >= 3 else ', saddr=RawImm(124)'}{flat_mods})"
# DS instructions
if mn.startswith('ds_'):
off0, off1 = (str(int(off_val, 0) & 0xff), str((int(off_val, 0) >> 8) & 0xff)) if off_val else ("0", "0")
gds_s = ", gds=1" if 'gds' in text.lower().split()[-1:] else ""
off_kw = f", offset0={off0}, offset1={off1}{gds_s}"
if mn == 'ds_nop' or mn in ('ds_gws_sema_v', 'ds_gws_sema_p', 'ds_gws_sema_release_all'): return f"{mn}({off_kw.lstrip(', ')})"
if 'gws_' in mn: return f"{mn}(addr={args[0]}{off_kw})"
if 'consume' in mn or 'append' in mn: return f"{mn}(vdst={args[0]}{off_kw})"
if 'gs_reg' in mn: return f"{mn}(vdst={args[0]}, data0={args[1]}{off_kw})"
if '2addr' in mn:
if 'load' in mn: return f"{mn}(vdst={args[0]}, addr={args[1]}{off_kw})"
if 'store' in mn and 'xchg' not in mn: return f"{mn}(addr={args[0]}, data0={args[1]}, data1={args[2]}{off_kw})"
return f"{mn}(vdst={args[0]}, addr={args[1]}, data0={args[2]}, data1={args[3]}{off_kw})"
if 'load' in mn: return f"{mn}(vdst={args[0]}{off_kw})" if 'addtid' in mn else f"{mn}(vdst={args[0]}, addr={args[1]}{off_kw})"
if 'store' in mn and not _has(mn, 'cmp', 'xchg'):
return f"{mn}(data0={args[0]}{off_kw})" if 'addtid' in mn else f"{mn}(addr={args[0]}, data0={args[1]}{off_kw})"
if 'swizzle' in mn or 'ordered_count' in mn: return f"{mn}(vdst={args[0]}, addr={args[1]}{off_kw})"
if 'permute' in mn: return f"{mn}(vdst={args[0]}, addr={args[1]}, data0={args[2]}{off_kw})"
if 'bvh' in mn: return f"{mn}(vdst={args[0]}, addr={args[1]}, data0={args[2]}, data1={args[3]}{off_kw})"
if 'condxchg' in mn: return f"{mn}(vdst={args[0]}, addr={args[1]}, data0={args[2]}{off_kw})"
if _has(mn, 'cmpstore', 'mskor', 'wrap'):
return f"{mn}(vdst={args[0]}, addr={args[1]}, data0={args[2]}, data1={args[3]}{off_kw})" if '_rtn' in mn else f"{mn}(addr={args[0]}, data0={args[1]}, data1={args[2]}{off_kw})"
return f"{mn}(vdst={args[0]}, addr={args[1]}, data0={args[2]}{off_kw})" if '_rtn' in mn else f"{mn}(addr={args[0]}, data0={args[1]}{off_kw})"
# v_fmaak/v_fmamk literal extraction
lit_s = ""
if mn in ('v_fmaak_f32', 'v_fmaak_f16') and len(args) == 4: lit_s, args = f", literal={args[3].strip()}", args[:3]
elif mn in ('v_fmamk_f32', 'v_fmamk_f16') and len(args) == 4: lit_s, args = f", literal={args[2].strip()}", [args[0], args[1], args[3]]
# VCC ops cleanup
vcc_ops = {'v_add_co_ci_u32', 'v_sub_co_ci_u32', 'v_subrev_co_ci_u32'}
if mn.replace('_e32', '') in vcc_ops and len(args) >= 5: mn, args = mn.replace('_e32', '') + '_e32', [args[0], args[2], args[3]]
if mn.replace('_e64', '') in vcc_ops and mn.endswith('_e64'): mn = mn.replace('_e64', '')
if mn.startswith('v_cmp') and not mn.endswith('_e64') and len(args) >= 3 and ops[0].strip().lower() in ('vcc_lo', 'vcc_hi', 'vcc'): args = args[1:]
if 'cmpx' in mn and mn.endswith('_e64') and len(args) == 2: args = ['RawImm(126)'] + args
fn = mn.replace('.', '_')
if opsel is not None: args = [re.sub(r'\.[hl]$', '', a) for a in args]
# v_fma_mix*: extract inline neg/abs modifiers
if 'fma_mix' in mn and neg_lo is None and neg_hi is None:
inline_neg, inline_abs, clean_args = 0, 0, [args[0]]
for i, op in enumerate(ops[1:4]):
op = op.strip()
neg = op.startswith('-') and not (op[1:2].isdigit() or (len(op) > 2 and op[1] == '0' and op[2] in 'xX'))
if neg: op = op[1:]
abs_ = op.startswith('|') and op.endswith('|')
if abs_: op = op[1:-1]
if neg: inline_neg |= (1 << i)
if abs_: inline_abs |= (1 << i)
clean_args.append(_op2dsl(op))
args = clean_args + args[4:]
if inline_neg: neg_lo = inline_neg
if inline_abs: neg_hi = inline_abs
all_kw = list(kw)
if lit_s: all_kw.append(lit_s.lstrip(', '))
if opsel is not None: all_kw.append(f'opsel={opsel}')
if neg_lo is not None: all_kw.append(f'neg={neg_lo}')
if neg_hi is not None: all_kw.append(f'neg_hi={neg_hi}')
if 'bvh' in mn and 'intersect_ray' in mn: all_kw.extend(['dmask=15', 'unrm=1', 'r128=1'])
a_str, kw_str = ', '.join(args), ', '.join(all_kw)
return f"{fn}({a_str}, {kw_str})" if kw_str and a_str else f"{fn}({kw_str})" if kw_str else f"{fn}({a_str})"
def asm(text: str) -> Inst:
dsl = get_dsl(text)
ns = {n: getattr(ins, n) for n in dir(ins) if not n.startswith('_')}
ns.update({'s': s, 'v': v, 'ttmp': ttmp, 'abs': abs, 'RawImm': RawImm, 'SrcMod': SrcMod, 'VGPR': VGPR, 'SGPR': SGPR, 'TTMP': TTMP,
'VCC_LO': VCC_LO, 'VCC_HI': VCC_HI, 'VCC': VCC, 'EXEC_LO': EXEC_LO, 'EXEC_HI': EXEC_HI, 'EXEC': EXEC, 'SCC': SCC, 'M0': M0, 'NULL': NULL, 'OFF': OFF})
try: return eval(dsl, ns)
except NameError:
if m := re.match(r'^(v_\w+)(\(.*\))$', dsl): return eval(f"{m.group(1)}_e32{m.group(2)}", ns)
raise
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# autogenerated from AMD ISA XML - do not edit
from enum import Enum, auto
class Fmt(Enum):
FMT_ANY = auto()
FMT_BUF = auto()
FMT_IMG = auto()
FMT_IMG_BVH = auto()
FMT_NUM_B1 = auto()
FMT_NUM_B1024 = auto()
FMT_NUM_B128 = auto()
FMT_NUM_B16 = auto()
FMT_NUM_B256 = auto()
FMT_NUM_B32 = auto()
FMT_NUM_B512 = auto()
FMT_NUM_B64 = auto()
FMT_NUM_B8 = auto()
FMT_NUM_B96 = auto()
FMT_NUM_BF16 = auto()
FMT_NUM_BF6 = auto()
FMT_NUM_BF8 = auto()
FMT_NUM_F16 = auto()
FMT_NUM_F32 = auto()
FMT_NUM_F64 = auto()
FMT_NUM_FP4 = auto()
FMT_NUM_FP6 = auto()
FMT_NUM_FP8 = auto()
FMT_NUM_I16 = auto()
FMT_NUM_I24 = auto()
FMT_NUM_I32 = auto()
FMT_NUM_I4 = auto()
FMT_NUM_I64 = auto()
FMT_NUM_I8 = auto()
FMT_NUM_IU4 = auto()
FMT_NUM_IU8 = auto()
FMT_NUM_M64 = auto()
FMT_NUM_PK16_BF16 = auto()
FMT_NUM_PK16_BF8 = auto()
FMT_NUM_PK16_F16 = auto()
FMT_NUM_PK16_F32 = auto()
FMT_NUM_PK16_FP8 = auto()
FMT_NUM_PK16_I32 = auto()
FMT_NUM_PK16_I8 = auto()
FMT_NUM_PK2_B16 = auto()
FMT_NUM_PK2_B32 = auto()
FMT_NUM_PK2_B64 = auto()
FMT_NUM_PK2_BF16 = auto()
FMT_NUM_PK2_BF8 = auto()
FMT_NUM_PK2_F16 = auto()
FMT_NUM_PK2_F32 = auto()
FMT_NUM_PK2_FP4 = auto()
FMT_NUM_PK2_FP8 = auto()
FMT_NUM_PK2_I16 = auto()
FMT_NUM_PK2_I8 = auto()
FMT_NUM_PK2_U16 = auto()
FMT_NUM_PK2_U8 = auto()
FMT_NUM_PK32_BF16 = auto()
FMT_NUM_PK32_BF6 = auto()
FMT_NUM_PK32_BF8 = auto()
FMT_NUM_PK32_F16 = auto()
FMT_NUM_PK32_F32 = auto()
FMT_NUM_PK32_FP6 = auto()
FMT_NUM_PK32_FP8 = auto()
FMT_NUM_PK32_I32 = auto()
FMT_NUM_PK32_I8 = auto()
FMT_NUM_PK4_B8 = auto()
FMT_NUM_PK4_BF16 = auto()
FMT_NUM_PK4_BF8 = auto()
FMT_NUM_PK4_F16 = auto()
FMT_NUM_PK4_F32 = auto()
FMT_NUM_PK4_F64 = auto()
FMT_NUM_PK4_FP8 = auto()
FMT_NUM_PK4_I32 = auto()
FMT_NUM_PK4_I8 = auto()
FMT_NUM_PK4_IU8 = auto()
FMT_NUM_PK4_U8 = auto()
FMT_NUM_PK8_B32 = auto()
FMT_NUM_PK8_BF16 = auto()
FMT_NUM_PK8_BF8 = auto()
FMT_NUM_PK8_F16 = auto()
FMT_NUM_PK8_FP8 = auto()
FMT_NUM_PK8_I4 = auto()
FMT_NUM_PK8_I8 = auto()
FMT_NUM_PK8_IU4 = auto()
FMT_NUM_PK8_U4 = auto()
FMT_NUM_PK8_U8 = auto()
FMT_NUM_PK_F16 = auto()
FMT_NUM_PK_I16 = auto()
FMT_NUM_PK_I8 = auto()
FMT_NUM_PK_U16 = auto()
FMT_NUM_PK_U8 = auto()
FMT_NUM_U16 = auto()
FMT_NUM_U24 = auto()
FMT_NUM_U32 = auto()
FMT_NUM_U4 = auto()
FMT_NUM_U64 = auto()
FMT_NUM_U8 = auto()
FMT_RSRC = auto()
FMT_RSRC_SCALAR = auto()
FMT_RSRC_SCRATCH = auto()
FMT_RSRC_SCRATCH_BYTE = auto()
FMT_RSRC_SCRATCH_STRIDE = auto()
FMT_RSRC_TYPED = auto()
FMT_RSRC_TYPED_BYTE = auto()
FMT_RSRC_TYPED_SCRATCH = auto()
FMT_RSRC_TYPED_STRIDE = auto()
FMT_RSRC_VECTOR = auto()
FMT_RSRC_VECTOR_BYTE = auto()
FMT_RSRC_VECTOR_STRIDE = auto()
FMT_SAMP = auto()
FMT_WMMA_AB_16X16_BF16 = auto()
FMT_WMMA_AB_16X16_BF8 = auto()
FMT_WMMA_AB_16X16_F16 = auto()
FMT_WMMA_AB_16X16_FP8 = auto()
FMT_WMMA_AB_16X16_IU4 = auto()
FMT_WMMA_AB_16X16_IU8 = auto()
FMT_WMMA_AB_16X32_BF16 = auto()
FMT_WMMA_AB_16X32_BF8 = auto()
FMT_WMMA_AB_16X32_F16 = auto()
FMT_WMMA_AB_16X32_FP8 = auto()
FMT_WMMA_AB_16X32_IU4 = auto()
FMT_WMMA_AB_16X32_IU8 = auto()
FMT_WMMA_AB_16X64_IU4 = auto()
FMT_WMMA_AB_BF16 = auto()
FMT_WMMA_AB_F16 = auto()
FMT_WMMA_AB_IU4 = auto()
FMT_WMMA_AB_IU8 = auto()
FMT_WMMA_DC_16X16_BF16 = auto()
FMT_WMMA_DC_16X16_F16 = auto()
FMT_WMMA_DC_16X16_F32 = auto()
FMT_WMMA_DC_16X16_I32 = auto()
FMT_WMMA_DC_BF16 = auto()
FMT_WMMA_DC_F16 = auto()
FMT_WMMA_DC_F32 = auto()
FMT_WMMA_DC_I32 = auto()
FMT_WMMA_INDEX_SET = auto()
FMT_BITS = {
Fmt.FMT_ANY: 1,
Fmt.FMT_BUF: 64,
Fmt.FMT_IMG: 256,
Fmt.FMT_IMG_BVH: 128,
Fmt.FMT_NUM_B1: 1,
Fmt.FMT_NUM_B1024: 1024,
Fmt.FMT_NUM_B128: 128,
Fmt.FMT_NUM_B16: 16,
Fmt.FMT_NUM_B256: 256,
Fmt.FMT_NUM_B32: 32,
Fmt.FMT_NUM_B512: 512,
Fmt.FMT_NUM_B64: 64,
Fmt.FMT_NUM_B8: 8,
Fmt.FMT_NUM_B96: 96,
Fmt.FMT_NUM_BF16: 16,
Fmt.FMT_NUM_BF6: 6,
Fmt.FMT_NUM_BF8: 8,
Fmt.FMT_NUM_F16: 16,
Fmt.FMT_NUM_F32: 32,
Fmt.FMT_NUM_F64: 64,
Fmt.FMT_NUM_FP4: 4,
Fmt.FMT_NUM_FP6: 6,
Fmt.FMT_NUM_FP8: 8,
Fmt.FMT_NUM_I16: 16,
Fmt.FMT_NUM_I24: 24,
Fmt.FMT_NUM_I32: 32,
Fmt.FMT_NUM_I4: 4,
Fmt.FMT_NUM_I64: 64,
Fmt.FMT_NUM_I8: 8,
Fmt.FMT_NUM_IU4: 4,
Fmt.FMT_NUM_IU8: 8,
Fmt.FMT_NUM_M64: 64,
Fmt.FMT_NUM_PK16_BF16: 256,
Fmt.FMT_NUM_PK16_BF8: 128,
Fmt.FMT_NUM_PK16_F16: 256,
Fmt.FMT_NUM_PK16_F32: 512,
Fmt.FMT_NUM_PK16_FP8: 128,
Fmt.FMT_NUM_PK16_I32: 512,
Fmt.FMT_NUM_PK16_I8: 128,
Fmt.FMT_NUM_PK2_B16: 32,
Fmt.FMT_NUM_PK2_B32: 64,
Fmt.FMT_NUM_PK2_B64: 128,
Fmt.FMT_NUM_PK2_BF16: 32,
Fmt.FMT_NUM_PK2_BF8: 16,
Fmt.FMT_NUM_PK2_F16: 32,
Fmt.FMT_NUM_PK2_F32: 64,
Fmt.FMT_NUM_PK2_FP4: 8,
Fmt.FMT_NUM_PK2_FP8: 16,
Fmt.FMT_NUM_PK2_I16: 32,
Fmt.FMT_NUM_PK2_I8: 16,
Fmt.FMT_NUM_PK2_U16: 32,
Fmt.FMT_NUM_PK2_U8: 16,
Fmt.FMT_NUM_PK32_BF16: 512,
Fmt.FMT_NUM_PK32_BF6: 192,
Fmt.FMT_NUM_PK32_BF8: 256,
Fmt.FMT_NUM_PK32_F16: 512,
Fmt.FMT_NUM_PK32_F32: 1024,
Fmt.FMT_NUM_PK32_FP6: 192,
Fmt.FMT_NUM_PK32_FP8: 256,
Fmt.FMT_NUM_PK32_I32: 1024,
Fmt.FMT_NUM_PK32_I8: 256,
Fmt.FMT_NUM_PK4_B8: 32,
Fmt.FMT_NUM_PK4_BF16: 64,
Fmt.FMT_NUM_PK4_BF8: 32,
Fmt.FMT_NUM_PK4_F16: 64,
Fmt.FMT_NUM_PK4_F32: 128,
Fmt.FMT_NUM_PK4_F64: 256,
Fmt.FMT_NUM_PK4_FP8: 32,
Fmt.FMT_NUM_PK4_I32: 128,
Fmt.FMT_NUM_PK4_I8: 32,
Fmt.FMT_NUM_PK4_IU8: 32,
Fmt.FMT_NUM_PK4_U8: 32,
Fmt.FMT_NUM_PK8_B32: 256,
Fmt.FMT_NUM_PK8_BF16: 128,
Fmt.FMT_NUM_PK8_BF8: 64,
Fmt.FMT_NUM_PK8_F16: 128,
Fmt.FMT_NUM_PK8_FP8: 64,
Fmt.FMT_NUM_PK8_I4: 32,
Fmt.FMT_NUM_PK8_I8: 64,
Fmt.FMT_NUM_PK8_IU4: 32,
Fmt.FMT_NUM_PK8_U4: 32,
Fmt.FMT_NUM_PK8_U8: 64,
Fmt.FMT_NUM_PK_F16: 32,
Fmt.FMT_NUM_PK_I16: 32,
Fmt.FMT_NUM_PK_I8: 32,
Fmt.FMT_NUM_PK_U16: 32,
Fmt.FMT_NUM_PK_U8: 32,
Fmt.FMT_NUM_U16: 16,
Fmt.FMT_NUM_U24: 24,
Fmt.FMT_NUM_U32: 32,
Fmt.FMT_NUM_U4: 4,
Fmt.FMT_NUM_U64: 64,
Fmt.FMT_NUM_U8: 8,
Fmt.FMT_RSRC: 128,
Fmt.FMT_RSRC_SCALAR: 128,
Fmt.FMT_RSRC_SCRATCH: 128,
Fmt.FMT_RSRC_SCRATCH_BYTE: 128,
Fmt.FMT_RSRC_SCRATCH_STRIDE: 128,
Fmt.FMT_RSRC_TYPED: 128,
Fmt.FMT_RSRC_TYPED_BYTE: 128,
Fmt.FMT_RSRC_TYPED_SCRATCH: 128,
Fmt.FMT_RSRC_TYPED_STRIDE: 128,
Fmt.FMT_RSRC_VECTOR: 128,
Fmt.FMT_RSRC_VECTOR_BYTE: 128,
Fmt.FMT_RSRC_VECTOR_STRIDE: 128,
Fmt.FMT_SAMP: 128,
Fmt.FMT_WMMA_AB_16X16_BF16: 128,
Fmt.FMT_WMMA_AB_16X16_BF8: 64,
Fmt.FMT_WMMA_AB_16X16_F16: 128,
Fmt.FMT_WMMA_AB_16X16_FP8: 64,
Fmt.FMT_WMMA_AB_16X16_IU4: 32,
Fmt.FMT_WMMA_AB_16X16_IU8: 64,
Fmt.FMT_WMMA_AB_16X32_BF16: 256,
Fmt.FMT_WMMA_AB_16X32_BF8: 128,
Fmt.FMT_WMMA_AB_16X32_F16: 256,
Fmt.FMT_WMMA_AB_16X32_FP8: 128,
Fmt.FMT_WMMA_AB_16X32_IU4: 64,
Fmt.FMT_WMMA_AB_16X32_IU8: 128,
Fmt.FMT_WMMA_AB_16X64_IU4: 128,
Fmt.FMT_WMMA_AB_BF16: 256,
Fmt.FMT_WMMA_AB_F16: 256,
Fmt.FMT_WMMA_AB_IU4: 64,
Fmt.FMT_WMMA_AB_IU8: 128,
Fmt.FMT_WMMA_DC_16X16_BF16: 128,
Fmt.FMT_WMMA_DC_16X16_F16: 128,
Fmt.FMT_WMMA_DC_16X16_F32: 256,
Fmt.FMT_WMMA_DC_16X16_I32: 256,
Fmt.FMT_WMMA_DC_BF16: 256,
Fmt.FMT_WMMA_DC_F16: 256,
Fmt.FMT_WMMA_DC_F32: 256,
Fmt.FMT_WMMA_DC_I32: 256,
Fmt.FMT_WMMA_INDEX_SET: 32,
}
class OpType(Enum):
OPR_ACCVGPR = auto()
OPR_ATTR = auto()
OPR_CLAUSE = auto()
OPR_DELAY = auto()
OPR_EXEC = auto()
OPR_HWREG = auto()
OPR_LABEL = auto()
OPR_SDST = auto()
OPR_SDST_NULL = auto()
OPR_SENDMSG = auto()
OPR_SENDMSG_RTN = auto()
OPR_SIMM16 = auto()
OPR_SIMM24 = auto()
OPR_SIMM4 = auto()
OPR_SIMM5 = auto()
OPR_SIMM8 = auto()
OPR_SLEEP = auto()
OPR_SMEM_OFFSET = auto()
OPR_SMEM_OFFSET_NOK = auto()
OPR_SRC = auto()
OPR_SRC_ACCVGPR = auto()
OPR_SRC_NOLDS = auto()
OPR_SRC_NOLIT = auto()
OPR_SRC_SIMPLE = auto()
OPR_SRC_VGPR = auto()
OPR_SRC_VGPR_OR_ACCVGPR = auto()
OPR_SRC_VGPR_OR_ACCVGPR_OR_CONST = auto()
OPR_SRC_VGPR_OR_INLINE = auto()
OPR_SREG = auto()
OPR_SREG_LITERAL = auto()
OPR_SREG_M0 = auto()
OPR_SREG_M0_INL = auto()
OPR_SREG_NOVCC = auto()
OPR_SSRC = auto()
OPR_SSRC_BARRIER_ID = auto()
OPR_SSRC_LANESEL = auto()
OPR_SSRC_NOLIT = auto()
OPR_TGT = auto()
OPR_VERSION = auto()
OPR_VGPR = auto()
OPR_VGPR_OR_ACCVGPR = auto()
OPR_VGPR_OR_LDS = auto()
OPR_WAITCNT = auto()
OPR_WAITCNT_DEPCTR = auto()
OPR_WAIT_ALU = auto()
OPR_WAIT_EVENT = auto()
OPR_WAIT_MEM_DS = auto()
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# Instruction format detection and decoding
from __future__ import annotations
from extra.assembly.amd.dsl import Inst, FixedBitField
from extra.assembly.amd.autogen.rdna3.ins import (VOP1, VOP1_SDST, VOP2, VOP3, VOP3_SDST, VOP3SD, VOP3P, VOPC, VOPD, VINTERP,
SOP1, SOP2, SOPC, SOPK, SOPP, SMEM, DS, FLAT)
from extra.assembly.amd.autogen.rdna4.ins import (VOP1 as R4_VOP1, VOP1_SDST as R4_VOP1_SDST, VOP2 as R4_VOP2,
VOP3 as R4_VOP3, VOP3_SDST as R4_VOP3_SDST, VOP3SD as R4_VOP3SD, VOP3P as R4_VOP3P,
VOPC as R4_VOPC, VOPD as R4_VOPD, VINTERP as R4_VINTERP, SOP1 as R4_SOP1, SOP2 as R4_SOP2, SOPC as R4_SOPC, SOPK as R4_SOPK, SOPP as R4_SOPP,
SMEM as R4_SMEM, DS as R4_DS)
from extra.assembly.amd.autogen.cdna.ins import (VOP1 as C_VOP1, VOP2 as C_VOP2, VOPC as C_VOPC, VOP3A, VOP3B, VOP3P as C_VOP3P,
SOP1 as C_SOP1, SOP2 as C_SOP2, SOPC as C_SOPC, SOPK as C_SOPK, SOPP as C_SOPP, SMEM as C_SMEM, DS as C_DS, FLAT as C_FLAT)
def _matches_encoding(word: int, cls: type[Inst]) -> bool:
"""Check if word matches the encoding pattern of an instruction class."""
enc = next(((n, f) for n, f in cls._fields if isinstance(f, FixedBitField) and n == 'encoding'), None)
if enc is None: return False
bf = enc[1]
return ((word >> bf.lo) & bf.mask) == bf.default
# Order matters: more specific encodings first, VOP2 last (it's a catch-all for bit31=0)
_RDNA_FORMATS_64 = [VOPD, VOP3P, VINTERP, VOP3, DS, FLAT, SMEM]
_RDNA_FORMATS_32 = [SOP1, SOPC, SOPP, SOPK, VOPC, VOP1, SOP2, VOP2] # SOP2/VOP2 are catch-alls
_CDNA_FORMATS_64 = [C_VOP3P, VOP3A, C_DS, C_FLAT, C_SMEM]
_CDNA_FORMATS_32 = [C_SOP1, C_SOPC, C_SOPP, C_SOPK, C_VOPC, C_VOP1, C_SOP2, C_VOP2]
_CDNA_VOP3B_OPS = {281, 282, 283, 284, 285, 286, 480, 481, 488, 489} # VOP3B opcodes
_RDNA4_FORMATS_64 = [R4_VOPD, R4_VOP3P, R4_VINTERP, R4_VOP3, R4_DS, R4_SMEM]
_RDNA4_FORMATS_32 = [R4_SOP1, R4_SOPC, R4_SOPP, R4_SOPK, R4_VOPC, R4_VOP1, R4_SOP2, R4_VOP2]
_RDNA4_VOP3SD_OPS = {288, 289, 290, 764, 765, 766, 767, 768, 769, 770}
_RDNA3_VOP3SD_OPS = {288, 289, 290, 764, 765, 766, 767, 768, 769, 770}
# Instructions with SGPR destination (READLANE, READFIRSTLANE, and VOP3-encoded VOPC)
_VOP1_SDST_OPS = {2} # V_READFIRSTLANE_B32_E32
_VOP3_SDST_OPS = {386, 864} # V_READFIRSTLANE_B32_E64, V_READLANE_B32 (V_WRITELANE_B32=865 writes to VGPR)
# VOP3-encoded VOPC instructions (opcodes < 256) also have SGPR destination
def detect_format(data: bytes, arch: str = "rdna3") -> type[Inst]:
"""Detect instruction format from machine code bytes."""
assert len(data) >= 4, f"need at least 4 bytes, got {len(data)}"
word = int.from_bytes(data[:4], 'little')
if arch == "cdna":
# SDWA (0xf9) and DPP (0xfa) use special src0 encodings - not supported
if (word & 0x1ff) in (0xf9, 0xfa): raise ValueError(f"CDNA SDWA/DPP not supported word={word:#010x}")
if (word >> 30) == 0b11:
for cls in _CDNA_FORMATS_64:
if _matches_encoding(word, cls):
return VOP3B if cls is VOP3A and ((word >> 16) & 0x3ff) in _CDNA_VOP3B_OPS else cls
raise ValueError(f"unknown CDNA 64-bit format word={word:#010x}")
for cls in _CDNA_FORMATS_32:
if _matches_encoding(word, cls): return cls
raise ValueError(f"unknown CDNA 32-bit format word={word:#010x}")
if arch == "rdna4":
if (word >> 30) == 0b11:
for cls in _RDNA4_FORMATS_64:
if _matches_encoding(word, cls):
if cls is R4_VOP3:
opcode = (word >> 16) & 0x3ff
if opcode in _RDNA4_VOP3SD_OPS: return R4_VOP3SD
if opcode in _VOP3_SDST_OPS or opcode < 256: return R4_VOP3_SDST # VOP3-encoded VOPC (op < 256) writes to SGPR
return cls
raise ValueError(f"unknown RDNA4 64-bit format word={word:#010x}")
for cls in _RDNA4_FORMATS_32:
if _matches_encoding(word, cls):
if cls is R4_VOP1 and ((word >> 9) & 0xff) in _VOP1_SDST_OPS: return R4_VOP1_SDST
return cls
raise ValueError(f"unknown RDNA4 32-bit format word={word:#010x}")
# RDNA3 (default)
if (word >> 30) == 0b11:
for cls in _RDNA_FORMATS_64:
if _matches_encoding(word, cls):
if cls is VOP3:
opcode = (word >> 16) & 0x3ff
if opcode in _RDNA3_VOP3SD_OPS: return VOP3SD
if opcode in _VOP3_SDST_OPS or opcode < 256: return VOP3_SDST # VOP3-encoded VOPC (op < 256) writes to SGPR
return cls
raise ValueError(f"unknown 64-bit format word={word:#010x}")
for cls in _RDNA_FORMATS_32:
if _matches_encoding(word, cls):
if cls is VOP1 and ((word >> 9) & 0xff) in _VOP1_SDST_OPS: return VOP1_SDST
return cls
raise ValueError(f"unknown 32-bit format word={word:#010x}")
def decode_inst(data: bytes, arch: str = "rdna3") -> Inst:
"""Decode machine code bytes into an instruction."""
return detect_format(data, arch).from_bytes(data)
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# RDNA3/RDNA4/CDNA disassembler
from __future__ import annotations
import re, struct
from extra.assembly.amd.dsl import Inst, Reg
# Special register mappings for disassembly
SPECIAL_GPRS = {106: 'vcc_lo', 107: 'vcc_hi', 124: 'null', 125: 'm0', 126: 'exec_lo', 127: 'exec_hi',
128: '0', 240: '0.5', 241: '-0.5', 242: '1.0', 243: '-1.0', 244: '2.0', 245: '-2.0', 246: '4.0', 247: '-4.0', 248: '0x3e22f983', 253: 'scc'}
SPECIAL_GPRS_CDNA = {106: 'vcc_lo', 107: 'vcc_hi', 124: 'null', 125: 'm0', 126: 'exec_lo', 127: 'exec_hi',
128: '0', 240: '0.5', 241: '-0.5', 242: '1.0', 243: '-1.0', 244: '2.0', 245: '-2.0', 246: '4.0', 247: '-4.0', 248: '0x3e22f983', 253: 'scc',
102: 'flat_scratch_lo', 103: 'flat_scratch_hi', 104: 'xnack_mask_lo', 105: 'xnack_mask_hi'}
SPECIAL_PAIRS = {106: 'vcc', 126: 'exec'}
SPECIAL_PAIRS_CDNA = {106: 'vcc', 126: 'exec', 102: 'flat_scratch', 104: 'xnack_mask'}
def decode_src(v, cdna: bool = False) -> str:
"""Decode a source operand encoding to its string representation."""
v = _unwrap(v)
gprs = SPECIAL_GPRS_CDNA if cdna else SPECIAL_GPRS
if v in gprs: return gprs[v]
if v < 106: return f's{v}'
if 108 <= v < 124: return f'ttmp{v - 108}'
if 129 <= v <= 192: return str(v - 128) # positive integers 1-64
if 193 <= v <= 208: return str(-(v - 192)) # negative integers -1 to -16
if v >= 256: return f'v{v - 256}'
return f's{v}'
def _unwrap(v) -> int:
"""Unwrap Reg to int offset, or return int as-is."""
return v.offset if isinstance(v, Reg) else v
def _vi(v) -> int:
"""Get VGPR index from Reg or int (for v[N] fields that encode as 256+N)."""
off = _unwrap(v)
return off - 256 if off >= 256 else off
# ═══════════════════════════════════════════════════════════════════════════════
# LITERAL FORMATTING
# ═══════════════════════════════════════════════════════════════════════════════
_FLOAT_DEC = {240: 0.5, 241: -0.5, 242: 1.0, 243: -1.0, 244: 2.0, 245: -2.0, 246: 4.0, 247: -4.0}
def _lit(inst, v, neg=0) -> str:
"""Format literal/inline constant value."""
v = _unwrap(v)
if v == 255:
lit = inst._literal
if lit is None: return "0"
s = f"0x{lit:x}"
elif v in _FLOAT_DEC: s = str(_FLOAT_DEC[v])
elif 128 <= v <= 192: s = str(v - 128)
elif 193 <= v <= 208: s = str(-(v - 192))
elif v < 128: s = decode_src(v)
elif v >= 256: s = f"v{v - 256}"
else: s = decode_src(v)
return f"-{s}" if neg else s
# ═══════════════════════════════════════════════════════════════════════════════
# INSTRUCTION METADATA - fallback functions when inst.num_srcs()/inst.operands unavailable
# ═══════════════════════════════════════════════════════════════════════════════
def _num_srcs(inst) -> int:
"""Fallback: get number of source operands from instruction name."""
name = getattr(inst, 'op_name', '') or ''
n = name.upper()
# FMAC/MAC ops are 2-source (dst is implicit accumulator), but FMA/MAD ops are 3-source
if 'FMAC' in n or 'V_MAC_' in n: return 2
if any(x in n for x in ('FMA', 'MAD', 'CNDMASK', 'BFE', 'BFI', 'LERP', 'MED3', 'SAD', 'DIV_FMAS', 'DIV_FIXUP', 'DIV_SCALE', 'CUBE')): return 3
# PERMLANE_VAR ops are 2-source, but PERMLANE (non-VAR) are 3-source
if 'PERMLANE' in n and '_VAR' not in n: return 3
if any(x in n for x in ('_ADD3', '_LSHL_ADD', '_ADD_LSHL', '_LSHL_OR', '_AND_OR', 'OR3_B32', 'AND_OR_B32', 'ALIGNBIT', 'ALIGNBYTE', 'V_PERM_', 'XOR3', 'XAD', 'MULLIT', 'MINMAX', 'MAXMIN', 'MINIMUMMAXIMUM', 'MAXIMUMMINIMUM', 'MINIMUM3', 'MAXIMUM3', 'MIN3', 'MAX3', 'DOT2', 'CVT_PK_U8_F32', 'DOT4', 'DOT8', 'WMMA', 'SWMMAC')): return 3
return 2
# SWMMAC register counts: (dst, src0, src1, src2)
def _swmmac_regs(name: str) -> tuple[int, int, int, int]:
"""Return (dst, src0, src1, src2) register counts for SWMMAC instructions."""
if 'f16_16x16x32' in name or 'bf16_16x16x32' in name: return (4, 4, 8, 1)
if 'f32_16x16x32_f16' in name or 'f32_16x16x32_bf16' in name: return (8, 4, 8, 1)
if 'i32_16x16x32_iu4' in name: return (8, 1, 2, 1)
if 'i32_16x16x64_iu4' in name: return (8, 2, 4, 1)
if 'i32_16x16x32_iu8' in name or 'f32_16x16x32_fp8' in name or 'f32_16x16x32_bf8' in name: return (8, 2, 4, 1)
return (8, 8, 8, 8)
# ═══════════════════════════════════════════════════════════════════════════════
# IMPORTS
# ═══════════════════════════════════════════════════════════════════════════════
from extra.assembly.amd.autogen.rdna3.ins import (VOP1, VOP1_SDST, VOP2, VOP3, VOP3_SDST, VOP3SD, VOP3P, VOPC, VOPD, VINTERP, SOP1, SOP2, SOPC, SOPK, SOPP, SMEM, DS, FLAT, GLOBAL, SCRATCH,
VOP1Op, VOP2Op, VOP3Op, VOP3SDOp, VOPDOp, SOP1Op, SOPKOp, SOPPOp, SMEMOp, DSOp)
from extra.assembly.amd.autogen.rdna4.ins import (VOP1 as R4_VOP1, VOP1_SDST as R4_VOP1_SDST, VOP2 as R4_VOP2, VOP3 as R4_VOP3, VOP3_SDST as R4_VOP3_SDST, VOP3SD as R4_VOP3SD, VOP3P as R4_VOP3P,
VOPC as R4_VOPC, VOPD as R4_VOPD, VINTERP as R4_VINTERP, SOP1 as R4_SOP1, SOP2 as R4_SOP2, SOPC as R4_SOPC, SOPK as R4_SOPK, SOPP as R4_SOPP,
SMEM as R4_SMEM, DS as R4_DS, VOPDOp as R4_VOPDOp)
from extra.assembly.amd.autogen.cdna.ins import FLAT as C_FLAT
def _is_cdna(inst: Inst) -> bool: return 'cdna' in inst.__class__.__module__
# ═══════════════════════════════════════════════════════════════════════════════
# CONSTANTS
# ═══════════════════════════════════════════════════════════════════════════════
HWREG = {1: 'HW_REG_MODE', 2: 'HW_REG_STATUS', 3: 'HW_REG_TRAPSTS', 4: 'HW_REG_HW_ID', 5: 'HW_REG_GPR_ALLOC',
6: 'HW_REG_LDS_ALLOC', 7: 'HW_REG_IB_STS', 15: 'HW_REG_SH_MEM_BASES', 18: 'HW_REG_PERF_SNAPSHOT_PC_LO',
19: 'HW_REG_PERF_SNAPSHOT_PC_HI', 20: 'HW_REG_FLAT_SCR_LO', 21: 'HW_REG_FLAT_SCR_HI', 22: 'HW_REG_XNACK_MASK',
23: 'HW_REG_HW_ID1', 24: 'HW_REG_HW_ID2', 25: 'HW_REG_POPS_PACKER', 28: 'HW_REG_IB_STS2'}
HWREG_RDNA4 = {1: 'HW_REG_MODE', 2: 'HW_REG_STATUS', 4: 'HW_REG_STATE_PRIV', 5: 'HW_REG_GPR_ALLOC',
6: 'HW_REG_LDS_ALLOC', 7: 'HW_REG_IB_STS', 10: 'HW_REG_PERF_SNAPSHOT_DATA', 11: 'HW_REG_PERF_SNAPSHOT_PC_LO',
12: 'HW_REG_PERF_SNAPSHOT_PC_HI', 15: 'HW_REG_PERF_SNAPSHOT_DATA1', 16: 'HW_REG_PERF_SNAPSHOT_DATA2',
17: 'HW_REG_EXCP_FLAG_PRIV', 18: 'HW_REG_EXCP_FLAG_USER', 19: 'HW_REG_TRAP_CTRL',
20: 'HW_REG_SCRATCH_BASE_LO', 21: 'HW_REG_SCRATCH_BASE_HI', 23: 'HW_REG_HW_ID1',
24: 'HW_REG_HW_ID2', 26: 'HW_REG_SCHED_MODE', 29: 'HW_REG_SHADER_CYCLES_LO',
30: 'HW_REG_SHADER_CYCLES_HI', 31: 'HW_REG_DVGPR_ALLOC_LO', 32: 'HW_REG_DVGPR_ALLOC_HI'}
MSG = {128: 'MSG_RTN_GET_DOORBELL', 129: 'MSG_RTN_GET_DDID', 130: 'MSG_RTN_GET_TMA',
131: 'MSG_RTN_GET_REALTIME', 132: 'MSG_RTN_SAVE_WAVE', 133: 'MSG_RTN_GET_TBA',
134: 'MSG_RTN_GET_TBA_TO_PC', 135: 'MSG_RTN_GET_SE_AID_ID'}
# CDNA opcode name aliases for disasm (new name -> old name expected by tests)
_CDNA_DISASM_ALIASES = {'v_fmac_f64': 'v_mul_legacy_f32', 'v_dot2c_f32_bf16': 'v_mac_f32', 'v_fmamk_f32': 'v_madmk_f32', 'v_fmaak_f32': 'v_madak_f32'}
# ═══════════════════════════════════════════════════════════════════════════════
# HELPERS
# ═══════════════════════════════════════════════════════════════════════════════
def _reg(p: str, b: int, n: int = 1) -> str: return f"{p}{_unwrap(b)}" if n == 1 else f"{p}[{_unwrap(b)}:{_unwrap(b)+n-1}]"
def _sreg(b: int, n: int = 1) -> str: return _reg("s", _unwrap(b), n)
def _vreg(b: int, n: int = 1) -> str: b = _unwrap(b); return _reg("v", b - 256 if b >= 256 else b, n)
def _areg(b: int, n: int = 1) -> str: b = _unwrap(b); return _reg("a", b - 256 if b >= 256 else b, n) # accumulator registers for GFX90a
def _ttmp(b, n: int = 1) -> str: b = _unwrap(b); return _reg("ttmp", b - 108, n) if 108 <= b <= 123 else None
def _sreg_or_ttmp(b, n: int = 1) -> str: return _ttmp(b, n) or _sreg(b, n)
def _fmt_sdst(v, n: int = 1, cdna: bool = False) -> str:
v = _unwrap(v)
if t := _ttmp(v, n): return t
pairs = SPECIAL_PAIRS_CDNA if cdna else SPECIAL_PAIRS
gprs = SPECIAL_GPRS_CDNA if cdna else SPECIAL_GPRS
if n > 1: return pairs.get(v) or gprs.get(v) or _sreg(v, n) # also check gprs for null/m0
return gprs.get(v, f"s{v}")
def _fmt_src(v, n: int = 1, cdna: bool = False) -> str:
v = _unwrap(v)
if v == 253: return "src_scc" # SCC as source operand
if n == 1: return decode_src(v, cdna)
if v >= 256: return _vreg(v, n)
if v <= 101: return _sreg(v, n) # s0-s101 can be pairs, but 102+ are special on CDNA
pairs = SPECIAL_PAIRS_CDNA if cdna else SPECIAL_PAIRS
if n == 2 and v in pairs: return pairs[v]
if v <= 105: return _sreg(v, n) # s102-s105 regular pairs for RDNA
if t := _ttmp(v, n): return t
return decode_src(v, cdna)
def _fmt_v16(v, base: int = 256, hi_thresh: int = 384) -> str:
v = _unwrap(v)
return f"v{(v - base) & 0x7f}.{'h' if v >= hi_thresh else 'l'}"
def _has(op: str, *subs) -> bool: return any(s in op for s in subs)
def _omod(v: int) -> str: return {1: " mul:2", 2: " mul:4", 3: " div:2"}.get(v, "")
def _src16(inst, v: int) -> str: v = _unwrap(v); return _fmt_v16(v) if v >= 256 else _lit(inst, v) # format 16-bit src: vgpr.h/l or literal
def _mods(*pairs) -> str: return " ".join(m for c, m in pairs if c)
def _fmt_bits(label: str, val: int, count: int) -> str: return f"{label}:[{','.join(str((val >> i) & 1) for i in range(count))}]"
def _vop3_src(inst, v: int, neg: int, abs_: int, hi: int, n: int, f16: bool) -> str:
"""Format VOP3 source operand with modifiers."""
v = _unwrap(v)
if v == 255: s = _lit(inst, v) # literal constant takes priority
elif n > 1: s = _fmt_src(v, n)
elif f16 and v >= 256: s = f"v{v - 256}.h" if hi else f"v{v - 256}.l"
elif v == 253: s = "src_scc" # VOP3 sources use src_scc not scc
else: s = _lit(inst, v)
if abs_: s = f"|{s}|"
return f"-{s}" if neg else s
def _opsel_str(opsel: int, n: int, need: bool, is16_d: bool) -> str:
"""Format op_sel modifier string."""
if not need: return ""
dst_hi = (opsel >> 3) & 1
if n == 1: return f" op_sel:[{opsel & 1},{dst_hi}]"
if n == 2: return f" op_sel:[{opsel & 1},{(opsel >> 1) & 1},{dst_hi}]"
return f" op_sel:[{opsel & 1},{(opsel >> 1) & 1},{(opsel >> 2) & 1},{dst_hi}]"
# ═══════════════════════════════════════════════════════════════════════════════
# DISASSEMBLER
# ═══════════════════════════════════════════════════════════════════════════════
def _disasm_vop1(inst: VOP1) -> str:
name, cdna = inst.op_name.lower() or f'vop1_op_{inst.op}', _is_cdna(inst)
name = name.replace('_e32', '') # Strip _e32 suffix
if any(x in name for x in ('v_nop', 'v_pipeflush', 'v_clrexcp')): return name # no operands
if 'readfirstlane' in name:
src = inst.src0.fmt() if inst.src0.offset >= 256 else decode_src(inst.src0.offset, cdna)
vdst_off = inst.vdst.offset - 256 if inst.vdst.offset >= 256 else inst.vdst.offset
return f"{name} {_fmt_sdst(vdst_off, 1, cdna)}, {src}"
bits = inst.canonical_op_bits
is16_dst, is16_src = not cdna and bits['d'] == 16, not cdna and bits['s0'] == 16
# v_cvt_pk_f32_fp8/bf8: pcode has None dst type but outputs 2 VGPRs
if 'cvt_pk_f32_fp8' in name or 'cvt_pk_f32_bf8' in name: is16_src = True
# Format dst
if is16_dst: dst = _fmt_v16(inst.vdst)
else: dst = inst.vdst.fmt()
# Format src
if inst.src0.offset == 255: src = _lit(inst, inst.src0)
elif is16_src and inst.src0.offset >= 256: src = _fmt_v16(inst.src0)
elif inst.src0.sz > 1: src = _fmt_src(inst.src0, inst.src0.sz, cdna)
else: src = _lit(inst, inst.src0)
return f"{name} {dst}, {src}"
_VOP2_CARRY_OUT = {'v_add_co_u32', 'v_sub_co_u32', 'v_subrev_co_u32'} # carry out only
_VOP2_CARRY_INOUT = {'v_addc_co_u32', 'v_subb_co_u32', 'v_subbrev_co_u32'} # carry in and out (CDNA)
_VOP2_CARRY_INOUT_RDNA = {'v_add_co_ci_u32', 'v_sub_co_ci_u32', 'v_subrev_co_ci_u32'} # carry in and out (RDNA)
def _disasm_vop2(inst: VOP2) -> str:
name, cdna = inst.op_name.lower(), _is_cdna(inst)
if cdna: name = _CDNA_DISASM_ALIASES.get(name, name) # apply CDNA aliases
suf = "" if cdna or name.endswith('_e32') or (not cdna and inst.op == VOP2Op.V_DOT2ACC_F32_F16_E32) else "_e32"
lit = getattr(inst, '_literal', None)
is16 = not cdna and inst.canonical_op_bits['d'] == 16
# fmaak/madak: dst = src0 * vsrc1 + K, fmamk/madmk: dst = src0 * K + vsrc1
if 'fmaak' in name or 'madak' in name or (not cdna and inst.op in (VOP2Op.V_FMAAK_F32_E32, VOP2Op.V_FMAAK_F16_E32)):
if lit is None: return f"op_{inst.op.value if hasattr(inst.op, 'value') else inst.op}"
if is16: return f"{name}{suf} {_fmt_v16(inst.vdst)}, {_src16(inst, inst.src0)}, {_fmt_v16(inst.vsrc1)}, 0x{lit:x}"
return f"{name}{suf} {inst.vdst.fmt()}, {_lit(inst, inst.src0)}, {inst.vsrc1.fmt()}, 0x{lit:x}"
if 'fmamk' in name or 'madmk' in name or (not cdna and inst.op in (VOP2Op.V_FMAMK_F32_E32, VOP2Op.V_FMAMK_F16_E32)):
if lit is None: return f"op_{inst.op.value if hasattr(inst.op, 'value') else inst.op}"
if is16: return f"{name}{suf} {_fmt_v16(inst.vdst)}, {_src16(inst, inst.src0)}, 0x{lit:x}, {_fmt_v16(inst.vsrc1)}"
return f"{name}{suf} {inst.vdst.fmt()}, {_lit(inst, inst.src0)}, 0x{lit:x}, {inst.vsrc1.fmt()}"
if is16: return f"{name}{suf} {_fmt_v16(inst.vdst)}, {_src16(inst, inst.src0)}, {_fmt_v16(inst.vsrc1)}"
vcc = "vcc" if cdna else "vcc_lo"
if cdna and name in _VOP2_CARRY_OUT: return f"{name}{suf} {inst.vdst.fmt()}, {vcc}, {_lit(inst, inst.src0)}, {inst.vsrc1.fmt()}"
if cdna and name in _VOP2_CARRY_INOUT: return f"{name}{suf} {inst.vdst.fmt()}, {vcc}, {_lit(inst, inst.src0)}, {inst.vsrc1.fmt()}, {vcc}"
if not cdna and name in _VOP2_CARRY_INOUT_RDNA: return f"{name}{suf} {inst.vdst.fmt()}, {vcc}, {_lit(inst, inst.src0)}, {inst.vsrc1.fmt()}, {vcc}"
sn0 = inst.canonical_op_regs.get('s0', 1)
if inst.vdst.sz > 1 or sn0 > 1 or inst.vsrc1.sz > 1:
src0 = _lit(inst, inst.src0) if inst.src0.offset == 255 else _fmt_src(inst.src0, sn0, cdna)
return f"{name.replace('_e32', '')} {inst.vdst.fmt()}, {src0}, {inst.vsrc1.fmt()}"
return f"{name}{suf} {inst.vdst.fmt()}, {_lit(inst, inst.src0)}, {inst.vsrc1.fmt()}" + (f", {vcc}" if name == 'v_cndmask_b32' else "")
def _disasm_vopc(inst: VOPC) -> str:
name, cdna = inst.op_name.lower(), _is_cdna(inst)
bits = inst.canonical_op_bits
is16 = bits['s0'] == 16
if cdna:
s0 = _lit(inst, inst.src0) if inst.src0.offset == 255 else _fmt_src(inst.src0, inst.src0.sz, cdna)
return f"{name} vcc, {s0}, {inst.vsrc1.fmt()}" # CDNA VOPC always outputs vcc
# RDNA: v_cmpx_* writes to exec (no vcc), v_cmp_* writes to vcc_lo
has_vcc = 'cmpx' not in name
s0 = _lit(inst, inst.src0) if inst.src0.offset == 255 else inst.src0.fmt() if inst.src0.sz > 1 else _src16(inst, inst.src0.offset) if is16 else _lit(inst, inst.src0)
s1 = inst.vsrc1.fmt() if inst.vsrc1.sz > 1 else _fmt_v16(inst.vsrc1) if is16 else inst.vsrc1.fmt()
suf = "" if name.endswith('_e32') else "_e32"
return f"{name}{suf} vcc_lo, {s0}, {s1}" if has_vcc else f"{name}{suf} {s0}, {s1}"
NO_ARG_SOPP = {SOPPOp.S_BARRIER, SOPPOp.S_WAKEUP, SOPPOp.S_ICACHE_INV,
SOPPOp.S_WAIT_IDLE, SOPPOp.S_ENDPGM_SAVED, SOPPOp.S_CODE_END, SOPPOp.S_ENDPGM_ORDERED_PS_DONE, SOPPOp.S_TTRACEDATA}
_CDNA_NO_ARG_SOPP = {'s_endpgm', 's_barrier', 's_wakeup', 's_icache_inv', 's_ttracedata', 's_nop', 's_sethalt', 's_sleep',
's_setprio', 's_trap', 's_incperflevel', 's_decperflevel', 's_sendmsg', 's_sendmsghalt'}
def _disasm_sopp(inst: SOPP) -> str:
name, cdna = inst.op_name.lower(), _is_cdna(inst)
is_rdna4 = 'rdna4' in inst.__class__.__module__
# Ops that have no argument when simm16 == 0
no_arg_zero = {'s_barrier', 's_wakeup', 's_icache_inv', 's_ttracedata', 's_wait_idle', 's_endpgm_saved',
's_endpgm_ordered_ps_done', 's_code_end'}
if name in no_arg_zero: return name if inst.simm16 == 0 else f"{name} {inst.simm16}"
if name == 's_endpgm': return name if inst.simm16 == 0 else f"{name} {inst.simm16}"
if cdna:
if name == 's_waitcnt':
vm, lgkm, exp = inst.simm16 & 0xf, (inst.simm16 >> 8) & 0x3f, (inst.simm16 >> 4) & 0x7
p = [f"vmcnt({vm})" if vm != 0xf else "", f"expcnt({exp})" if exp != 7 else "", f"lgkmcnt({lgkm})" if lgkm != 0x3f else ""]
return f"s_waitcnt {' '.join(x for x in p if x) or '0'}"
if name.startswith(('s_cbranch', 's_branch')): return f"{name} {inst.simm16}"
return f"{name} 0x{inst.simm16:x}" if inst.simm16 else name
# RDNA (use name-based checks instead of enum-based for cross-arch compatibility)
if name == 's_waitcnt':
if is_rdna4:
return f"{name} {inst.simm16}" if inst.simm16 else f"{name} 0"
vm, exp, lgkm = (inst.simm16 >> 10) & 0x3f, inst.simm16 & 0xf, (inst.simm16 >> 4) & 0x3f
p = [f"vmcnt({vm})" if vm != 0x3f else "", f"expcnt({exp})" if exp != 7 else "", f"lgkmcnt({lgkm})" if lgkm != 0x3f else ""]
return f"s_waitcnt {' '.join(x for x in p if x) or '0'}"
if name == 's_delay_alu':
deps = ['VALU_DEP_1','VALU_DEP_2','VALU_DEP_3','VALU_DEP_4','TRANS32_DEP_1','TRANS32_DEP_2','TRANS32_DEP_3','FMA_ACCUM_CYCLE_1','SALU_CYCLE_1','SALU_CYCLE_2','SALU_CYCLE_3']
skips = ['SAME','NEXT','SKIP_1','SKIP_2','SKIP_3','SKIP_4']
id0, skip, id1 = inst.simm16 & 0xf, (inst.simm16 >> 4) & 0x7, (inst.simm16 >> 7) & 0xf
dep = lambda v: deps[v-1] if 0 < v <= len(deps) else str(v)
p = [f"instid0({dep(id0)})" if id0 else "", f"instskip({skips[skip]})" if skip else "", f"instid1({dep(id1)})" if id1 else ""]
return f"s_delay_alu {' | '.join(x for x in p if x) or '0'}"
if name.startswith(('s_cbranch', 's_branch')): return f"{name} 0x{inst.simm16:x}"
return f"{name} 0x{inst.simm16:x}"
def _disasm_smem(inst: SMEM) -> str:
name, cdna = inst.op_name.lower(), _is_cdna(inst)
if name in ('s_gl1_inv', 's_dcache_inv'): return name
soe, imm = getattr(inst, 'soe', 0), getattr(inst, 'imm', 1)
is_rdna4 = 'rdna4' in inst.__class__.__module__
offset = inst.ioffset if is_rdna4 else getattr(inst, 'offset', 0)
if cdna:
if soe and imm: off_s = f"{decode_src(inst.soffset, cdna)} offset:0x{offset:x}"
elif imm: off_s = f"0x{offset:x}"
elif offset < 256: off_s = decode_src(offset, cdna)
else: off_s = decode_src(inst.soffset, cdna)
elif offset and inst.soffset != 124: off_s = f"{decode_src(inst.soffset, cdna)} offset:0x{offset:x}"
elif offset: off_s = f"0x{offset:x}"
else: off_s = decode_src(inst.soffset, cdna)
is_buffer = 'buffer' in name or 's_atc_probe_buffer' == name
sbase_idx, sbase_count = _unwrap(inst.sbase), 4 if is_buffer else 2
sbase_str = _fmt_src(sbase_idx, sbase_count, cdna) if sbase_count == 2 else _sreg(sbase_idx, sbase_count) if sbase_idx <= 105 else _reg("ttmp", sbase_idx - 108, sbase_count)
if name in ('s_atc_probe', 's_atc_probe_buffer'): return f"{name} {_unwrap(inst.sdata)}, {sbase_str}, {off_s}"
if 'prefetch' in name:
off = getattr(inst, 'ioffset', getattr(inst, 'offset', 0))
if off >= 0x800000: off = off - 0x1000000
off_s = f"0x{off:x}" if off > 255 else str(off)
soff_s = decode_src(inst.soffset, cdna) if inst.soffset != 124 else "null"
if 'pc_rel' in name: return f"{name} {off_s}, {soff_s}, {_unwrap(inst.sdata)}"
return f"{name} {sbase_str}, {off_s}, {soff_s}, {_unwrap(inst.sdata)}"
# Use get_field_bits for register count
dst_n = inst.canonical_op_regs.get('d', 1)
th, scope = getattr(inst, 'th', 0), getattr(inst, 'scope', 0)
if is_rdna4: # RDNA4 uses th/scope instead of glc/dlc
th_names = ['TH_LOAD_RT', 'TH_LOAD_NT', 'TH_LOAD_HT', 'TH_LOAD_LU']
scope_names = ['SCOPE_CU', 'SCOPE_SE', 'SCOPE_DEV', 'SCOPE_SYS']
mods = (f" th:{th_names[th]}" if th else "") + (f" scope:{scope_names[scope]}" if scope else "")
return f"{name} {_fmt_sdst(inst.sdata, dst_n, cdna)}, {sbase_str}, {off_s}{mods}"
if th or scope:
th_names = ['TH_LOAD_RT', 'TH_LOAD_NT', 'TH_LOAD_HT', 'TH_LOAD_LU']
scope_names = ['SCOPE_CU', 'SCOPE_SE', 'SCOPE_DEV', 'SCOPE_SYS']
mods = (f" th:{th_names[th]}" if th else "") + (f" scope:{scope_names[scope]}" if scope else "")
return f"{name} {_fmt_sdst(inst.sdata, dst_n, cdna)}, {sbase_str}, {off_s}{mods}"
return f"{name} {_fmt_sdst(inst.sdata, dst_n, cdna)}, {sbase_str}, {off_s}" + _mods((inst.glc, " glc"), (getattr(inst, 'dlc', 0), " dlc"))
def _disasm_flat(inst: FLAT) -> str:
name, cdna = inst.op_name.lower(), _is_cdna(inst)
acc = getattr(inst, 'acc', 0)
reg_fn = _areg if acc else _vreg
seg = ['flat', 'scratch', 'global'][inst.seg] if inst.seg < 3 else 'flat'
instr = f"{seg}_{name.split('_', 1)[1] if '_' in name else name}"
off_val = inst.offset if seg == 'flat' else (inst.offset if inst.offset < 4096 else inst.offset - 8192)
# Use get_field_bits: data for stores/atomics, d for loads
regs = inst.canonical_op_regs
w = regs.get('data', regs.get('d', 1)) if 'store' in name or 'atomic' in name else regs.get('d', 1)
off_s = f" offset:{off_val}" if off_val else ""
if cdna: mods = f"{off_s}{' glc' if inst.sc0 else ''}{' slc' if inst.nt else ''}"
else: mods = f"{off_s}{' glc' if inst.glc else ''}{' slc' if inst.slc else ''}{' dlc' if inst.dlc else ''}"
if seg == 'flat' or _unwrap(inst.saddr) == 0x7F: saddr_s = ""
elif _unwrap(inst.saddr) == 124: saddr_s = ", off"
elif seg == 'scratch': saddr_s = f", {decode_src(inst.saddr, cdna)}"
elif _unwrap(inst.saddr) in (SPECIAL_PAIRS_CDNA if cdna else SPECIAL_PAIRS): saddr_s = f", {(SPECIAL_PAIRS_CDNA if cdna else SPECIAL_PAIRS)[_unwrap(inst.saddr)]}"
elif t := _ttmp(inst.saddr, 2): saddr_s = f", {t}"
else: saddr_s = f", {_sreg(inst.saddr, 2) if _unwrap(inst.saddr) < 106 else decode_src(_unwrap(inst.saddr), cdna)}"
if 'addtid' in name: return f"{instr} {reg_fn(inst.data if 'store' in name else inst.vdst)}{saddr_s}{mods}"
if cdna: addr_w = 1 if seg == 'scratch' else 2
else: addr_w = 1 if seg == 'scratch' or (_unwrap(inst.saddr) not in (0x7F, 124)) else 2
addr_s = "off" if not inst.sve and seg == 'scratch' else _vreg(inst.addr, addr_w)
data_s, vdst_s = reg_fn(inst.data, w), reg_fn(inst.vdst, w // 2 if 'cmpswap' in name else w)
glc_or_sc0 = inst.sc0 if cdna else inst.glc
if 'atomic' in name:
return f"{instr} {vdst_s}, {addr_s}, {data_s}{saddr_s if seg != 'flat' else ''}{mods}" if glc_or_sc0 else f"{instr} {addr_s}, {data_s}{saddr_s if seg != 'flat' else ''}{mods}"
if 'store' in name: return f"{instr} {addr_s}, {data_s}{saddr_s}{mods}"
return f"{instr} {reg_fn(inst.vdst, w)}, {addr_s}{saddr_s}{mods}"
def _disasm_ds(inst: DS) -> str:
op, name = inst.op, inst.op_name.lower()
acc = getattr(inst, 'acc', 0)
reg_fn = _areg if acc else _vreg
gds = " gds" if getattr(inst, 'gds', 0) else ""
off = f" offset:{inst.offset0 | (inst.offset1 << 8)}" if inst.offset0 or inst.offset1 else ""
off2 = (" offset0:" + str(inst.offset0) if inst.offset0 else "") + (" offset1:" + str(inst.offset1) if inst.offset1 else "")
# Use get_field_bits: data for stores/writes/atomics, d for loads
regs = inst.canonical_op_regs
w = regs.get('data', regs.get('d', 1)) if 'store' in name or 'write' in name or ('load' not in name and 'read' not in name) else regs.get('d', 1)
d0, d1, dst, addr = reg_fn(inst.data0, w), reg_fn(inst.data1, w), reg_fn(inst.vdst, w), _vreg(inst.addr)
if name == 'ds_nop': return name
if name == 'ds_bvh_stack_rtn_b32': return f"{name} {_vreg(inst.vdst)}, {addr}, {_vreg(inst.data0)}, {_vreg(inst.data1, 4)}{off}{gds}"
if 'bvh_stack_push' in name:
d1_regs = 8 if 'push8' in name else 4
vdst_regs = 2 if 'pop2' in name else 1
vdst_s = _vreg(inst.vdst, vdst_regs) if vdst_regs > 1 else _vreg(inst.vdst)
return f"{name} {vdst_s}, {addr}, {_vreg(inst.data0)}, {_vreg(inst.data1, d1_regs)}{off}{gds}"
if 'gws_sema' in name and 'sema_br' not in name: return f"{name}{off}{gds}"
if 'gws_' in name: return f"{name} {addr}{off}{gds}"
if name in ('ds_consume', 'ds_append'): return f"{name} {reg_fn(inst.vdst)}{off}{gds}"
if 'gs_reg' in name: return f"{name} {reg_fn(inst.vdst, 2)}, {reg_fn(inst.data0)}{off}{gds}"
if '2addr' in name:
if 'load' in name: return f"{name} {reg_fn(inst.vdst, regs.get('d', 1))}, {addr}{off2}{gds}"
if 'store' in name and 'xchg' not in name: return f"{name} {addr}, {d0}, {d1}{off2}{gds}"
return f"{name} {reg_fn(inst.vdst, regs.get('d', 1))}, {addr}, {d0}, {d1}{off2}{gds}"
if 'write2' in name: return f"{name} {addr}, {d0}, {d1}{off2}{gds}"
if 'read2' in name: return f"{name} {reg_fn(inst.vdst, regs.get('d', 1))}, {addr}{off2}{gds}"
if 'load' in name: return f"{name} {reg_fn(inst.vdst)}{off}{gds}" if 'addtid' in name else f"{name} {dst}, {addr}{off}{gds}"
if 'store' in name and not _has(name, 'cmp', 'xchg'):
return f"{name} {reg_fn(inst.data0)}{off}{gds}" if 'addtid' in name else f"{name} {addr}, {d0}{off}{gds}"
if 'swizzle' in name or name == 'ds_ordered_count': return f"{name} {reg_fn(inst.vdst)}, {addr}{off}{gds}"
if 'permute' in name: return f"{name} {reg_fn(inst.vdst)}, {addr}, {reg_fn(inst.data0)}{off}{gds}"
if 'condxchg' in name: return f"{name} {reg_fn(inst.vdst, 2)}, {addr}, {reg_fn(inst.data0, 2)}{off}{gds}"
if _has(name, 'cmpstore', 'mskor', 'wrap'):
return f"{name} {dst}, {addr}, {d0}, {d1}{off}{gds}" if '_rtn' in name else f"{name} {addr}, {d0}, {d1}{off}{gds}"
return f"{name} {dst}, {addr}, {d0}{off}{gds}" if '_rtn' in name else f"{name} {addr}, {d0}{off}{gds}"
def _disasm_vop3(inst: VOP3) -> str:
op, name = inst.op, inst.op_name.lower()
n_up = name.upper()
bits = inst.canonical_op_bits
# RDNA4 v_s_* scalar VOP3 instructions - vdst is SGPR (VGPRField adds 256)
if name.startswith('v_s_'):
src = _lit(inst, inst.src0) if _unwrap(inst.src0) == 255 else ("src_scc" if _unwrap(inst.src0) == 253 else _fmt_src(inst.src0, max(1, bits['s0'] // 32)))
if inst.neg & 1: src = f"-{src}"
if inst.abs & 1: src = f"|{src}|"
clamp = getattr(inst, 'cm', None) or getattr(inst, 'clmp', 0)
vdst_raw = _unwrap(inst.vdst)
return f"{name} s{vdst_raw - 256 if vdst_raw >= 256 else vdst_raw}, {src}" + (" clamp" if clamp else "") + _omod(inst.omod)
# Use get_field_bits for register sizes and 16-bit detection
r0, r1, r2 = max(1, bits['s0'] // 32), max(1, bits['s1'] // 32), max(1, bits['s2'] // 32)
dn = max(1, bits['d'] // 32)
is16_d, is16_s, is16_s2 = bits['d'] == 16, bits['s0'] == 16, bits['s2'] == 16
s0 = _vop3_src(inst, inst.src0, inst.neg&1, inst.abs&1, inst.opsel&1, r0, is16_s)
s1 = _vop3_src(inst, inst.src1, inst.neg&2, inst.abs&2, inst.opsel&2, r1, is16_s)
s2 = _vop3_src(inst, inst.src2, inst.neg&4, inst.abs&4, inst.opsel&4, r2, is16_s2)
# Format destination
if 'readlane' in name:
vdst_off = inst.vdst.offset - 256 if inst.vdst.offset >= 256 else inst.vdst.offset
dst = _fmt_sdst(vdst_off, 1)
elif is16_d: dst = f"{inst.vdst.fmt()}.h" if (inst.opsel & 8) else f"{inst.vdst.fmt()}.l"
else: dst = inst.vdst.fmt()
clamp = getattr(inst, 'cm', None) or getattr(inst, 'clmp', 0)
cl, om = " clamp" if clamp else "", _omod(inst.omod)
nonvgpr_opsel = (inst.src0.offset < 256 and (inst.opsel & 1)) or (inst.src1.offset < 256 and (inst.opsel & 2)) or (inst.src2.offset < 256 and (inst.opsel & 4))
need_opsel = nonvgpr_opsel or (inst.opsel and not is16_s)
op_val = inst.op.value if hasattr(inst.op, 'value') else inst.op
e64 = "" if name.endswith('_e64') else "_e64"
if op_val < 256: # VOPC
vdst_off = inst.vdst.offset - 256 if inst.vdst.offset >= 256 else inst.vdst.offset
return f"{name}{e64} {s0}, {s1}{cl}" if name.startswith('v_cmpx') else f"{name}{e64} {_fmt_sdst(vdst_off, 1)}, {s0}, {s1}{cl}"
if op_val < 384: # VOP2
n = inst.num_srcs() or 2
os = _opsel_str(inst.opsel, n, need_opsel, is16_d)
return f"{name}{e64} {dst}, {s0}, {s1}, {s2}{os}{cl}{om}" if n == 3 else f"{name}{e64} {dst}, {s0}, {s1}{os}{cl}{om}"
if op_val < 512: # VOP1
if re.match(r'v_cvt_f32_(bf|fp)8', name) and inst.opsel:
os = f" byte_sel:{((inst.opsel & 1) << 1) | ((inst.opsel >> 1) & 1)}"
else:
os = _opsel_str(inst.opsel, 1, need_opsel, is16_d)
if 'v_nop' in name or 'v_pipeflush' in name: return f"{name}{e64}"
return f"{name}{e64} {dst}, {s0}{os}{cl}{om}"
# Native VOP3
n = inst.num_srcs() or 2
os = f" byte_sel:{inst.opsel >> 2}" if 'cvt_sr' in name and inst.opsel else _opsel_str(inst.opsel, n, need_opsel, is16_d)
return f"{name} {dst}, {s0}, {s1}, {s2}{os}{cl}{om}" if n == 3 else f"{name} {dst}, {s0}, {s1}{os}{cl}{om}"
def _disasm_vop3sd(inst: VOP3SD) -> str:
name = inst.op_name.lower()
def src(reg, neg):
s = _lit(inst, reg.offset) if reg.offset == 255 else ("src_scc" if reg.offset == 253 else (reg.fmt() if reg.sz > 1 else _lit(inst, reg.offset)))
return f"neg({s})" if neg and reg.offset == 255 else (f"-{s}" if neg else s)
s0, s1, s2 = src(inst.src0, inst.neg & 1), src(inst.src1, inst.neg & 2), src(inst.src2, inst.neg & 4)
# VOP3SD: _co_ ops (add/sub) without _ci_ have only 2 sources, all others (mad, div_scale, _co_ci_) have 3 sources
has_only_two_srcs = '_co_' in name and '_ci_' not in name and 'mad' not in name
srcs = f"{s0}, {s1}" if has_only_two_srcs else f"{s0}, {s1}, {s2}"
clamp = getattr(inst, 'cm', None) or getattr(inst, 'clmp', 0)
return f"{name} {inst.vdst.fmt()}, {_fmt_sdst(inst.sdst, 1)}, {srcs}{' clamp' if clamp else ''}{_omod(inst.omod)}"
def _disasm_vopd(inst: VOPD) -> str:
lit = inst._literal or getattr(inst, 'literal', None)
is_rdna4 = 'rdna4' in inst.__class__.__module__
op_enum = R4_VOPDOp if is_rdna4 else VOPDOp
vdst_y, nx, ny = (_unwrap(inst.vdsty) << 1) | ((_unwrap(inst.vdstx) & 1) ^ 1), op_enum(inst.opx).name.lower(), op_enum(inst.opy).name.lower()
def half(n, vd, s0, vs1):
vd, vs1 = _vi(vd), _vi(vs1)
if 'mov' in n: return f"{n} v{vd}, {_lit(inst, s0)}"
if 'fmamk' in n and lit: return f"{n} v{vd}, {_lit(inst, s0)}, 0x{lit:x}, v{vs1}"
if 'fmaak' in n and lit: return f"{n} v{vd}, {_lit(inst, s0)}, v{vs1}, 0x{lit:x}"
return f"{n} v{vd}, {_lit(inst, s0)}, v{vs1}"
return f"{half(nx, inst.vdstx, inst.srcx0, inst.vsrcx1)} :: {half(ny, vdst_y, inst.srcy0, inst.vsrcy1)}"
def _disasm_vop3p(inst: VOP3P) -> str:
name = inst.op_name.lower()
is_wmma, is_swmmac, n, is_fma_mix = 'wmma' in name, 'swmmac' in name, inst.num_srcs() or 2, 'fma_mix' in name
def get_src(reg):
return _lit(inst, reg.offset) if reg.offset == 255 else reg.fmt()
src0, src1, src2, dst = get_src(inst.src0), get_src(inst.src1), get_src(inst.src2), inst.vdst.fmt()
opsel_hi = inst.opsel_hi | (inst.opsel_hi2 << 2)
clamp = getattr(inst, 'cm', None) or getattr(inst, 'clmp', 0)
if is_fma_mix:
def m(s, neg, abs_): return f"-{f'|{s}|' if abs_ else s}" if neg else (f"|{s}|" if abs_ else s)
src0, src1, src2 = m(src0, inst.neg & 1, inst.neg_hi & 1), m(src1, inst.neg & 2, inst.neg_hi & 2), m(src2, inst.neg & 4, inst.neg_hi & 4)
mods = ([_fmt_bits("op_sel", inst.opsel, n)] if inst.opsel else []) + ([_fmt_bits("op_sel_hi", opsel_hi, n)] if opsel_hi else []) + (["clamp"] if clamp else [])
elif is_swmmac:
mods = ([f"index_key:{inst.opsel}"] if inst.opsel else []) + ([_fmt_bits("neg_lo", inst.neg, n)] if inst.neg else []) + \
([_fmt_bits("neg_hi", inst.neg_hi, n)] if inst.neg_hi else []) + (["clamp"] if clamp else [])
else:
opsel_hi_default = 7 if n == 3 else 3
mods = ([_fmt_bits("op_sel", inst.opsel, n)] if inst.opsel else []) + ([_fmt_bits("op_sel_hi", opsel_hi, n)] if opsel_hi != opsel_hi_default else []) + \
([_fmt_bits("neg_lo", inst.neg, n)] if inst.neg else []) + ([_fmt_bits("neg_hi", inst.neg_hi, n)] if inst.neg_hi else []) + (["clamp"] if clamp else [])
return f"{name} {dst}, {src0}, {src1}, {src2}{' ' + ' '.join(mods) if mods else ''}" if n == 3 else f"{name} {dst}, {src0}, {src1}{' ' + ' '.join(mods) if mods else ''}"
def _disasm_sop1(inst: SOP1) -> str:
op, name, cdna = inst.op, inst.op_name.lower(), _is_cdna(inst)
# Use get_field_bits for register sizes
regs = inst.canonical_op_regs
dst_regs, src_regs = regs.get('d', 1), regs.get('s0', 1)
src = _lit(inst, inst.ssrc0) if _unwrap(inst.ssrc0) == 255 else _fmt_src(inst.ssrc0, src_regs, cdna)
if not cdna:
if 'getpc_b64' in name: return f"{name} {_fmt_sdst(inst.sdst, 2)}"
if 'setpc_b64' in name or 'rfe_b64' in name: return f"{name} {src}"
if 'swappc_b64' in name: return f"{name} {_fmt_sdst(inst.sdst, 2)}, {src}"
if 'sendmsg_rtn' in name:
v = _unwrap(inst.ssrc0)
msg_str = MSG.get(v)
return f"{name} {_fmt_sdst(inst.sdst, dst_regs)}, sendmsg({msg_str})" if msg_str else f"{name} {_fmt_sdst(inst.sdst, dst_regs)}, 0x{v:x}"
sop1_src_only = ('S_ALLOC_VGPR', 'S_SLEEP_VAR', 'S_BARRIER_SIGNAL', 'S_BARRIER_SIGNAL_ISFIRST', 'S_BARRIER_INIT', 'S_BARRIER_JOIN')
if inst.op_name in sop1_src_only: return f"{name} {src}"
return f"{name} {_fmt_sdst(inst.sdst, dst_regs, cdna)}, {src}"
def _disasm_sop2(inst: SOP2) -> str:
cdna, name = _is_cdna(inst), inst.op_name.lower()
lit = getattr(inst, '_literal', None)
# Use get_field_bits for register sizes
regs = inst.canonical_op_regs
dn, s0n, s1n = regs['d'], regs['s0'], regs['s1']
s0 = _lit(inst, inst.ssrc0) if _unwrap(inst.ssrc0) == 255 else _fmt_src(inst.ssrc0, s0n, cdna)
s1 = _lit(inst, inst.ssrc1) if _unwrap(inst.ssrc1) == 255 else _fmt_src(inst.ssrc1, s1n, cdna)
dst = _fmt_sdst(inst.sdst, dn, cdna)
if 'fmamk' in name and lit is not None: return f"{name} {dst}, {s0}, 0x{lit:x}, {s1}"
if 'fmaak' in name and lit is not None: return f"{name} {dst}, {s0}, {s1}, 0x{lit:x}"
return f"{name} {dst}, {s0}, {s1}"
def _disasm_sopc(inst: SOPC) -> str:
cdna, regs = _is_cdna(inst), inst.canonical_op_regs
s0 = _lit(inst, inst.ssrc0) if _unwrap(inst.ssrc0) == 255 else _fmt_src(inst.ssrc0, regs['s0'], cdna)
s1 = _lit(inst, inst.ssrc1) if _unwrap(inst.ssrc1) == 255 else _fmt_src(inst.ssrc1, regs['s1'], cdna)
return f"{inst.op_name.lower()} {s0}, {s1}"
def _disasm_sopk(inst: SOPK) -> str:
op, name, cdna = inst.op, inst.op_name.lower(), _is_cdna(inst)
is_rdna4 = 'rdna4' in inst.__class__.__module__
hw = HWREG_RDNA4 if is_rdna4 else HWREG
def fmt_hwreg(hid, hoff, hsz):
if hid not in hw: return f"0x{inst.simm16:x}"
hr_name = hw[hid]
return f"hwreg({hr_name})" if hoff == 0 and hsz == 32 else f"hwreg({hr_name}, {hoff}, {hsz})"
if name == 's_setreg_imm32_b32':
hid, hoff, hsz = inst.simm16 & 0x3f, (inst.simm16 >> 6) & 0x1f, ((inst.simm16 >> 11) & 0x1f) + 1
return f"{name} {fmt_hwreg(hid, hoff, hsz)}, 0x{inst._literal:x}"
if name == 's_version': return f"{name} 0x{inst.simm16:x}"
if name in ('s_setreg_b32', 's_getreg_b32'):
hid, hoff, hsz = inst.simm16 & 0x3f, (inst.simm16 >> 6) & 0x1f, ((inst.simm16 >> 11) & 0x1f) + 1
hs = fmt_hwreg(hid, hoff, hsz)
return f"{name} {hs}, {_fmt_sdst(inst.sdst, 1, cdna)}" if 'setreg' in name else f"{name} {_fmt_sdst(inst.sdst, 1, cdna)}, {hs}"
if name in ('s_subvector_loop_begin', 's_subvector_loop_end'):
return f"{name} {_fmt_sdst(inst.sdst, 1)}, 0x{inst.simm16:x}"
return f"{name} {_fmt_sdst(inst.sdst, inst.canonical_op_regs['d'], cdna)}, 0x{inst.simm16:x}"
def _disasm_vinterp(inst: VINTERP) -> str:
mods = _mods((inst.waitexp, f"wait_exp:{inst.waitexp}"), (inst.clmp, "clamp"))
return f"{inst.op_name.lower()} {inst.vdst.fmt()}, {_lit(inst, inst.src0, inst.neg & 1)}, {_lit(inst, inst.src1, inst.neg & 2)}, {_lit(inst, inst.src2, inst.neg & 4)}" + (" " + mods if mods else "")
DISASM_HANDLERS: dict[type, callable] = {
VOP1: _disasm_vop1, VOP1_SDST: _disasm_vop1, VOP2: _disasm_vop2, VOPC: _disasm_vopc, VOP3: _disasm_vop3, VOP3_SDST: _disasm_vop3, VOP3SD: _disasm_vop3sd, VOPD: _disasm_vopd, VOP3P: _disasm_vop3p,
VINTERP: _disasm_vinterp, SOPP: _disasm_sopp, SMEM: _disasm_smem, DS: _disasm_ds, FLAT: _disasm_flat, GLOBAL: _disasm_flat, SCRATCH: _disasm_flat,
SOP1: _disasm_sop1, SOP2: _disasm_sop2, SOPC: _disasm_sopc, SOPK: _disasm_sopk,
# RDNA4
R4_VOP1: _disasm_vop1, R4_VOP1_SDST: _disasm_vop1, R4_VOP2: _disasm_vop2, R4_VOPC: _disasm_vopc, R4_VOP3: _disasm_vop3, R4_VOP3_SDST: _disasm_vop3, R4_VOP3SD: _disasm_vop3sd,
R4_VOPD: _disasm_vopd, R4_VOP3P: _disasm_vop3p, R4_VINTERP: _disasm_vinterp, R4_SOPP: _disasm_sopp, R4_SMEM: _disasm_smem,
R4_DS: _disasm_ds, R4_SOP1: _disasm_sop1, R4_SOP2: _disasm_sop2, R4_SOPC: _disasm_sopc, R4_SOPK: _disasm_sopk}
def disasm(inst: Inst) -> str: return DISASM_HANDLERS[type(inst)](inst)
# ═══════════════════════════════════════════════════════════════════════════════
# CDNA DISASSEMBLER SUPPORT
# ═══════════════════════════════════════════════════════════════════════════════
try:
from extra.assembly.amd.autogen.cdna.ins import (VOP1 as CDNA_VOP1, VOP2 as CDNA_VOP2, VOPC as CDNA_VOPC, VOP3A, VOP3B, VOP3P as CDNA_VOP3P,
SOP1 as CDNA_SOP1, SOP2 as CDNA_SOP2, SOPC as CDNA_SOPC, SOPK as CDNA_SOPK, SOPP as CDNA_SOPP, SMEM as CDNA_SMEM, DS as CDNA_DS,
FLAT as CDNA_FLAT, VOP1Op as CDNA_VOP1Op, VOP2Op as CDNA_VOP2Op, VOPCOp as CDNA_VOPCOp)
def _cdna_src(inst, v, neg, abs_=0, n=1):
s = _lit(inst, v) if v == 255 else _fmt_src(v, n, cdna=True)
if abs_: s = f"|{s}|"
return f"neg({s})" if neg and v == 255 else (f"-{s}" if neg else s)
_CDNA_VOP3_ALIASES = {'v_fmac_f64': 'v_mul_legacy_f32', 'v_dot2c_f32_bf16': 'v_mac_f32'}
def _disasm_vop3a(inst) -> str:
op_val = inst.op.value if hasattr(inst.op, 'value') else inst.op
name = inst.op_name.lower() or f'vop3a_op_{op_val}'
n = inst.num_srcs() or _num_srcs(inst)
cl, om = " clamp" if inst.clmp else "", _omod(inst.omod)
orig_name = name
name = _CDNA_VOP3_ALIASES.get(name, name)
if name != orig_name:
s0, s1 = _cdna_src(inst, inst.src0, inst.neg&1, inst.abs&1, 1), _cdna_src(inst, inst.src1, inst.neg&2, inst.abs&2, 1)
s2 = ""
dst = _vreg(inst.vdst)
else:
regs = inst.canonical_op_regs
dregs, r0, r1, r2 = regs['d'], regs['s0'], regs['s1'], regs['s2']
s0, s1, s2 = _cdna_src(inst, inst.src0, inst.neg&1, inst.abs&1, r0), _cdna_src(inst, inst.src1, inst.neg&2, inst.abs&2, r1), _cdna_src(inst, inst.src2, inst.neg&4, inst.abs&4, r2)
dst = _vreg(inst.vdst, dregs) if dregs > 1 else _vreg(inst.vdst)
if op_val >= 512:
return f"{name} {dst}, {s0}, {s1}, {s2}{cl}{om}" if n == 3 else f"{name} {dst}, {s0}, {s1}{cl}{om}"
if op_val < 256:
sdst = _fmt_sdst(inst.vdst, 2, cdna=True)
return f"{name}_e64 {sdst}, {s0}, {s1}{cl}"
if 320 <= op_val < 512:
if name in ('v_nop', 'v_clrexcp'): return f"{name}_e64"
return f"{name}_e64 {dst}, {s0}{cl}{om}"
if name == 'v_cndmask_b32':
s2 = _fmt_src(inst.src2, 2, cdna=True)
return f"{name}_e64 {dst}, {s0}, {s1}, {s2}{cl}{om}"
if name in ('v_mul_legacy_f32', 'v_mac_f32'):
return f"{name}_e64 {dst}, {s0}, {s1}{cl}{om}"
suf = "_e64" if op_val < 512 else ""
return f"{name}{suf} {dst}, {s0}, {s1}, {s2}{cl}{om}" if n == 3 else f"{name}{suf} {dst}, {s0}, {s1}{cl}{om}"
def _disasm_vop3b(inst) -> str:
op_val = inst.op.value if hasattr(inst.op, 'value') else inst.op
name = inst.op_name.lower() or f'vop3b_op_{op_val}'
n = inst.num_srcs() or _num_srcs(inst)
regs = inst.canonical_op_regs
dregs, r0, r1, r2 = regs['d'], regs['s0'], regs['s1'], regs['s2']
s0, s1, s2 = _cdna_src(inst, inst.src0, inst.neg&1, n=r0), _cdna_src(inst, inst.src1, inst.neg&2, n=r1), _cdna_src(inst, inst.src2, inst.neg&4, n=r2)
dst = _vreg(inst.vdst, dregs) if dregs > 1 else _vreg(inst.vdst)
sdst = _fmt_sdst(inst.sdst, 2, cdna=True)
cl, om = " clamp" if inst.clmp else "", _omod(inst.omod)
if name in ('v_addc_co_u32', 'v_subb_co_u32', 'v_subbrev_co_u32'):
s2 = _fmt_src(inst.src2, 2, cdna=True)
return f"{name}_e64 {dst}, {sdst}, {s0}, {s1}, {s2}{cl}{om}"
suf = "_e64" if 'co_' in name else ""
return f"{name}{suf} {dst}, {sdst}, {s0}, {s1}, {s2}{cl}{om}" if n == 3 else f"{name}{suf} {dst}, {sdst}, {s0}, {s1}{cl}{om}"
def _disasm_cdna_vop3p(inst) -> str:
name, n = inst.op_name.lower(), inst.num_srcs() or 2
is_mfma = 'mfma' in name or 'smfmac' in name
is_accvgpr = 'accvgpr' in name
get_src = lambda v, sc: _lit(inst, v) if v == 255 else _fmt_src(v, sc, cdna=True)
# Handle accvgpr read/write (accumulator register operations)
if is_accvgpr:
src0_off = _unwrap(inst.src0)
vdst_off = _vi(inst.vdst)
if 'read' in name:
# v_accvgpr_read_b32 vN, aM - reads from accumulator to VGPR
return f"{name}_b32 v{vdst_off}, a{src0_off - 256 if src0_off >= 256 else src0_off}"
if 'write' in name:
# v_accvgpr_write_b32 aM, src - writes to accumulator from source
src = _lit(inst, inst.src0) if src0_off == 255 else (f"v{src0_off - 256}" if src0_off >= 256 else decode_src(src0_off, cdna=True))
return f"{name}_b32 a{vdst_off}, {src}"
# Handle MFMA instructions with accumulator destinations
if is_mfma:
sc = 2 if 'iu4' in name else 4 if 'iu8' in name or 'i4' in name else 8 if 'f16' in name or 'bf16' in name else 4
src0, src1, src2 = get_src(inst.src0, sc), get_src(inst.src1, sc), get_src(inst.src2, 16)
dst = _areg(inst.vdst, 16) # MFMA uses accumulator registers
opsel_hi = inst.opsel_hi
mods = ([_fmt_bits("op_sel", inst.opsel, n)] if inst.opsel else []) + ([_fmt_bits("op_sel_hi", opsel_hi, n)] if opsel_hi != 3 else []) + \
([_fmt_bits("neg_lo", inst.neg, n)] if inst.neg else []) + ([_fmt_bits("neg_hi", inst.neg_hi, n)] if inst.neg_hi else []) + (["clamp"] if inst.clmp else [])
return f"{name} {dst}, {src0}, {src1}, {src2}{' ' + ' '.join(mods) if mods else ''}"
# Standard VOP3P instructions
src0, src1, src2, dst = get_src(inst.src0, 1), get_src(inst.src1, 1), get_src(inst.src2, 1), _vreg(inst.vdst)
opsel_hi = inst.opsel_hi # CDNA VOP3P only has 2 bits for opsel_hi (no opsel_hi2)
opsel_hi_default = 3 # CDNA default is 0b11 (2 bits), not 0b111 like RDNA
mods = ([_fmt_bits("op_sel", inst.opsel, n)] if inst.opsel else []) + ([_fmt_bits("op_sel_hi", opsel_hi, n)] if opsel_hi != opsel_hi_default else []) + \
([_fmt_bits("neg_lo", inst.neg, n)] if inst.neg else []) + ([_fmt_bits("neg_hi", inst.neg_hi, n)] if inst.neg_hi else []) + (["clamp"] if inst.clmp else [])
return f"{name} {dst}, {src0}, {src1}, {src2}{' ' + ' '.join(mods) if mods else ''}" if n == 3 else f"{name} {dst}, {src0}, {src1}{' ' + ' '.join(mods) if mods else ''}"
DISASM_HANDLERS.update({CDNA_VOP1: _disasm_vop1, CDNA_VOP2: _disasm_vop2, CDNA_VOPC: _disasm_vopc,
CDNA_SOP1: _disasm_sop1, CDNA_SOP2: _disasm_sop2, CDNA_SOPC: _disasm_sopc, CDNA_SOPK: _disasm_sopk, CDNA_SOPP: _disasm_sopp,
CDNA_SMEM: _disasm_smem, CDNA_DS: _disasm_ds, CDNA_FLAT: _disasm_flat,
VOP3A: _disasm_vop3a, VOP3B: _disasm_vop3b, CDNA_VOP3P: _disasm_cdna_vop3p})
except ImportError:
pass
+336 -496
View File
@@ -1,533 +1,373 @@
# library for RDNA3 assembly DSL
# mypy: ignore-errors
from __future__ import annotations
import struct, math, re
from enum import IntEnum
from functools import cache, cached_property
from typing import overload, Annotated, TypeVar, Generic
from extra.assembly.amd.autogen.rdna3.enum import (VOP1Op, VOP2Op, VOP3Op, VOP3SDOp, VOP3POp, VOPCOp, VOPDOp, SOP1Op, SOP2Op,
SOPCOp, SOPKOp, SOPPOp, SMEMOp, DSOp, FLATOp, MUBUFOp, MTBUFOp, MIMGOp, VINTERPOp)
# dsl.py - clean DSL for AMD assembly
# Common masks and bit conversion functions
MASK32, MASK64 = 0xffffffff, 0xffffffffffffffff
_struct_f, _struct_I = struct.Struct("<f"), struct.Struct("<I")
_struct_e, _struct_H = struct.Struct("<e"), struct.Struct("<H")
_struct_d, _struct_Q = struct.Struct("<d"), struct.Struct("<Q")
def _f32(i): return _struct_f.unpack(_struct_I.pack(i & MASK32))[0]
def _i32(f):
if isinstance(f, int): f = float(f)
if math.isnan(f): return 0xffc00000 if math.copysign(1.0, f) < 0 else 0x7fc00000
if math.isinf(f): return 0x7f800000 if f > 0 else 0xff800000
try: return _struct_I.unpack(_struct_f.pack(f))[0]
except (OverflowError, struct.error): return 0x7f800000 if f > 0 else 0xff800000
def _sext(v, b): return v - (1 << b) if v & (1 << (b - 1)) else v
def _f16(i): return _struct_e.unpack(_struct_H.pack(i & 0xffff))[0]
def _i16(f):
if math.isnan(f): return 0x7e00
if math.isinf(f): return 0x7c00 if f > 0 else 0xfc00
try: return _struct_H.unpack(_struct_e.pack(f))[0]
except (OverflowError, struct.error): return 0x7c00 if f > 0 else 0xfc00
def _f64(i): return _struct_d.unpack(_struct_Q.pack(i & MASK64))[0]
def _i64(f):
if math.isnan(f): return 0x7ff8000000000000
if math.isinf(f): return 0x7ff0000000000000 if f > 0 else 0xfff0000000000000
try: return _struct_Q.unpack(_struct_d.pack(f))[0]
except (OverflowError, struct.error): return 0x7ff0000000000000 if f > 0 else 0xfff0000000000000
# ══════════════════════════════════════════════════════════════
# Registers - unified src encoding space (0-511)
# ══════════════════════════════════════════════════════════════
# Instruction spec - register counts and dtypes derived from instruction names
_REGS = {'B32': 1, 'B64': 2, 'B96': 3, 'B128': 4, 'B256': 8, 'B512': 16,
'F32': 1, 'I32': 1, 'U32': 1, 'F64': 2, 'I64': 2, 'U64': 2,
'F16': 1, 'I16': 1, 'U16': 1, 'B16': 1, 'I8': 1, 'U8': 1, 'B8': 1}
_CVT_RE = re.compile(r'CVT_([FIUB]\d+)_([FIUB]\d+)$')
_MAD_MUL_RE = re.compile(r'(?:MAD|MUL)_([IU]\d+)_([IU]\d+)$')
_PACK_RE = re.compile(r'PACK_([FIUB]\d+)_([FIUB]\d+)$')
_DST_SRC_RE = re.compile(r'_([FIUB]\d+)_([FIUB]\d+)$')
_SINGLE_RE = re.compile(r'_([FIUB](?:32|64|16|8|96|128|256|512))$')
@cache
def _suffix(name: str) -> tuple[str | None, str | None]:
name = name.upper()
if m := _CVT_RE.search(name): return m.group(1), m.group(2)
if m := _MAD_MUL_RE.search(name): return m.group(1), m.group(2)
if m := _PACK_RE.search(name): return m.group(1), m.group(2)
if m := _DST_SRC_RE.search(name): return m.group(1), m.group(2)
if m := _SINGLE_RE.search(name): return m.group(1), m.group(1)
return None, None
_SPECIAL_REGS = {
'V_LSHLREV_B64': (2, 1, 2, 1), 'V_LSHRREV_B64': (2, 1, 2, 1), 'V_ASHRREV_I64': (2, 1, 2, 1),
'S_LSHL_B64': (2, 2, 1, 1), 'S_LSHR_B64': (2, 2, 1, 1), 'S_ASHR_I64': (2, 2, 1, 1),
'S_BFE_U64': (2, 2, 1, 1), 'S_BFE_I64': (2, 2, 1, 1), 'S_BFM_B64': (2, 1, 1, 1),
'S_BITSET0_B64': (2, 1, 1, 1), 'S_BITSET1_B64': (2, 1, 1, 1),
'S_BITCMP0_B64': (1, 2, 1, 1), 'S_BITCMP1_B64': (1, 2, 1, 1),
'V_LDEXP_F64': (2, 2, 1, 1), 'V_TRIG_PREOP_F64': (2, 2, 1, 1),
'V_CMP_CLASS_F64': (1, 2, 1, 1), 'V_CMPX_CLASS_F64': (1, 2, 1, 1),
'V_CMP_CLASS_F32': (1, 1, 1, 1), 'V_CMPX_CLASS_F32': (1, 1, 1, 1),
'V_CMP_CLASS_F16': (1, 1, 1, 1), 'V_CMPX_CLASS_F16': (1, 1, 1, 1),
'V_MAD_U64_U32': (2, 1, 1, 2), 'V_MAD_I64_I32': (2, 1, 1, 2),
'V_QSAD_PK_U16_U8': (2, 2, 1, 2), 'V_MQSAD_PK_U16_U8': (2, 2, 1, 2), 'V_MQSAD_U32_U8': (4, 2, 1, 4),
}
_SPECIAL_DTYPE = {
'V_LSHLREV_B64': ('B64', 'U32', 'B64', None), 'V_LSHRREV_B64': ('B64', 'U32', 'B64', None), 'V_ASHRREV_I64': ('I64', 'U32', 'I64', None),
'S_LSHL_B64': ('B64', 'B64', 'U32', None), 'S_LSHR_B64': ('B64', 'B64', 'U32', None), 'S_ASHR_I64': ('I64', 'I64', 'U32', None),
'S_BFE_U64': ('U64', 'U64', 'U32', None), 'S_BFE_I64': ('I64', 'I64', 'U32', None),
'S_BFM_B64': ('B64', 'U32', 'U32', None), 'S_BITSET0_B64': ('B64', 'U32', None, None), 'S_BITSET1_B64': ('B64', 'U32', None, None),
'S_BITCMP0_B64': ('SCC', 'B64', 'U32', None), 'S_BITCMP1_B64': ('SCC', 'B64', 'U32', None),
'V_LDEXP_F64': ('F64', 'F64', 'I32', None), 'V_TRIG_PREOP_F64': ('F64', 'F64', 'U32', None),
'V_CMP_CLASS_F64': ('VCC', 'F64', 'U32', None), 'V_CMPX_CLASS_F64': ('EXEC', 'F64', 'U32', None),
'V_CMP_CLASS_F32': ('VCC', 'F32', 'U32', None), 'V_CMPX_CLASS_F32': ('EXEC', 'F32', 'U32', None),
'V_CMP_CLASS_F16': ('VCC', 'F16', 'U32', None), 'V_CMPX_CLASS_F16': ('EXEC', 'F16', 'U32', None),
'V_MAD_U64_U32': ('U64', 'U32', 'U32', 'U64'), 'V_MAD_I64_I32': ('I64', 'I32', 'I32', 'I64'),
'V_QSAD_PK_U16_U8': ('B64', 'B64', 'B64', 'B64'), 'V_MQSAD_PK_U16_U8': ('B64', 'B64', 'B64', 'B64'),
'V_MQSAD_U32_U8': ('B128', 'B64', 'B64', 'B128'),
}
@cache
def spec_regs(name: str) -> tuple[int, int, int, int]:
uname = name.upper()
if uname in _SPECIAL_REGS: return _SPECIAL_REGS[uname]
if 'SAD' in uname and 'U8' in uname and 'QSAD' not in uname and 'MQSAD' not in uname: return 1, 1, 1, 1
dst_suf, src_suf = _suffix(name)
return _REGS.get(dst_suf, 1), _REGS.get(src_suf, 1), _REGS.get(src_suf, 1), _REGS.get(src_suf, 1)
@cache
def spec_dtype(name: str) -> tuple[str | None, str | None, str | None, str | None]:
uname = name.upper()
if uname in _SPECIAL_DTYPE: return _SPECIAL_DTYPE[uname]
if 'SAD' in uname and ('U8' in uname or 'U16' in uname) and 'QSAD' not in uname and 'MQSAD' not in uname: return 'U32', 'U32', 'U32', 'U32'
if '_CMP_' in uname or '_CMPX_' in uname:
dst_suf, src_suf = _suffix(name)
return 'EXEC' if '_CMPX_' in uname else 'VCC', src_suf, src_suf, None
dst_suf, src_suf = _suffix(name)
return dst_suf, src_suf, src_suf, src_suf
_F16_RE = re.compile(r'_[FIUB]16(?:_|$)')
_F64_RE = re.compile(r'_[FIUB]64(?:_|$)')
@cache
def spec_is_16bit(name: str) -> bool:
uname = name.upper()
if 'SAD' in uname or 'PACK' in uname or '_PK_' in uname or 'SAT_PK' in uname or 'DOT2' in uname: return False
if '_F32' in uname or '_I32' in uname or '_U32' in uname or '_B32' in uname: return False
return bool(_F16_RE.search(uname))
@cache
def spec_is_64bit(name: str) -> bool: return bool(_F64_RE.search(name.upper()))
_3SRC = {'FMA', 'MAD', 'MIN3', 'MAX3', 'MED3', 'DIV_FIX', 'DIV_FMAS', 'DIV_SCALE', 'SAD', 'LERP', 'ALIGN', 'CUBE', 'BFE', 'BFI',
'PERM_B32', 'PERMLANE', 'CNDMASK', 'XOR3', 'OR3', 'ADD3', 'LSHL_OR', 'AND_OR', 'LSHL_ADD', 'ADD_LSHL', 'XAD', 'MAXMIN',
'MINMAX', 'DOT2', 'DOT4', 'DOT8', 'WMMA', 'CVT_PK_U8', 'MULLIT', 'CO_CI'}
_2SRC = {'FMAC'} # FMAC uses dst as implicit accumulator, so only 2 explicit sources
def spec_num_srcs(name: str) -> int:
name = name.upper()
if any(k in name for k in _2SRC): return 2
return 3 if any(k in name for k in _3SRC) else 2
def is_dtype_16(dt: str | None) -> bool: return dt is not None and '16' in dt
def is_dtype_64(dt: str | None) -> bool: return dt is not None and '64' in dt
def _reg_size(t: str | None) -> int: return {'b64': 2, 'f64': 2, 'u64': 2, 'i64': 2, 'b128': 4}.get(t, 1)
# Bit field DSL
class BitField:
def __init__(self, hi: int, lo: int, name: str | None = None): self.hi, self.lo, self.name, self._marker = hi, lo, name, None
def __set_name__(self, owner, name):
import typing
self.name, self._owner = name, owner
# Cache marker at class definition time
hints = typing.get_type_hints(owner, include_extras=True)
if name in hints:
hint = hints[name]
if typing.get_origin(hint) is Annotated:
args = typing.get_args(hint)
self._marker = args[1] if len(args) > 1 else None
def __eq__(self, val: int) -> tuple[BitField, int]: return (self, val) # type: ignore
def mask(self) -> int: return (1 << (self.hi - self.lo + 1)) - 1
class Reg:
_NAMES = {106: "VCC_LO", 107: "VCC_HI", 124: "NULL", 125: "M0", 126: "EXEC_LO", 127: "EXEC_HI",
240: "0.5", 241: "-0.5", 242: "1.0", 243: "-1.0", 244: "2.0", 245: "-2.0", 246: "4.0", 247: "-4.0",
248: "INV_2PI", 250: "DPP16", 253: "SCC", 255: "LIT"}
_PAIRS = {106: "VCC", 126: "EXEC"}
def __init__(self, offset: int = 0, sz: int = 512, *, neg: bool = False, abs_: bool = False, hi: bool = False):
self.offset, self.sz = offset, sz
self.neg, self.abs_, self.hi = neg, abs_, hi
# TODO: remove these legacy aliases
@property
def marker(self) -> type | None: return self._marker
@overload
def __get__(self, obj: None, objtype: type) -> BitField: ...
@overload
def __get__(self, obj: object, objtype: type | None = None) -> int: ...
def __get__(self, obj, objtype=None):
if obj is None: return self
val = unwrap(obj._values.get(self.name, 0))
# Convert to IntEnum if marker is an IntEnum subclass
if self.marker and isinstance(self.marker, type) and issubclass(self.marker, IntEnum):
# VOP3 with VOPC opcodes (0-255) -> VOPCOp, VOP3SD opcodes -> VOP3SDOp
if self.marker is VOP3Op:
if val < 256: return VOPCOp(val)
if val in Inst._VOP3SD_OPS: return VOP3SDOp(val)
try: return self.marker(val)
except ValueError: pass
return val
def count(self): return self.sz
@property
def idx(self): return self.offset
def __hash__(self): return hash((self.offset, self.sz, self.neg, self.abs_, self.hi))
def __getitem__(self, key):
if isinstance(key, slice):
start, stop = key.start or 0, key.stop or (self.sz - 1)
if start < 0 or stop >= self.sz: raise RuntimeError(f"slice [{start}:{stop}] out of bounds for size {self.sz}")
return Reg(self.offset + start, stop - start + 1)
if key < 0 or key >= self.sz: raise RuntimeError(f"index {key} out of bounds for size {self.sz}")
return Reg(self.offset + key, 1)
def __eq__(self, other):
if isinstance(other, Reg):
return (self.offset == other.offset and self.sz == other.sz and
self.neg == other.neg and self.abs_ == other.abs_ and self.hi == other.hi)
return NotImplemented
def __add__(self, other):
if isinstance(other, int): return Reg(self.offset + other, self.sz)
return NotImplemented
def __neg__(self) -> 'Reg': return Reg(self.offset, self.sz, neg=not self.neg, abs_=self.abs_, hi=self.hi)
def __abs__(self) -> 'Reg': return Reg(self.offset, self.sz, neg=self.neg, abs_=True, hi=self.hi)
@property
def h(self) -> 'Reg': return Reg(self.offset, self.sz, neg=self.neg, abs_=self.abs_, hi=True)
@property
def l(self) -> 'Reg': return Reg(self.offset, self.sz, neg=self.neg, abs_=self.abs_, hi=False)
def fmt(self, sz=None, parens=False, upper=False) -> str:
o, sz = self.offset, sz or self.sz
l, r = ("[", "]") if parens or sz > 1 else ("", "") # brackets for multi-reg or when parens=True
if 256 <= o < 512: idx = o - 256; base = f"v{l}{idx}{r}" if sz == 1 else f"v[{idx}:{idx + sz - 1}]"
elif o < 106: base = f"s{l}{o}{r}" if sz == 1 else f"s[{o}:{o + sz - 1}]"
elif sz == 2 and o in self._PAIRS: base = self._PAIRS[o] if upper else self._PAIRS[o].lower()
elif o in self._NAMES: base = self._NAMES[o] if upper else self._NAMES[o].lower() # special regs (any sz)
elif 108 <= o < 124: idx = o - 108; base = f"ttmp{l}{idx}{r}" if sz == 1 else f"ttmp[{idx}:{idx + sz - 1}]"
elif 128 <= o <= 192: base = str(o - 128) # inline int constants (0-64)
elif 193 <= o <= 208: base = str(-(o - 192)) # inline negative int constants (-1 to -16)
else: raise RuntimeError(f"unknown register: offset={o}, sz={sz}")
if self.hi: base += ".h"
if self.abs_: base = f"abs({base})" if upper else f"|{base}|"
if self.neg: base = f"-{base}"
return base
def __repr__(self): return self.fmt(parens=True, upper=True)
# Full src encoding space
src = Reg(0, 512)
# Slices for each region (inclusive end)
s = src[0:105] # SGPR0-105
VCC_LO = src[106]
VCC_HI = src[107]
VCC = src[106:107]
ttmp = src[108:123] # TTMP0-15
NULL = OFF = src[124]
M0 = src[125]
EXEC_LO = src[126]
EXEC_HI = src[127]
EXEC = src[126:127]
# 128: 0, 129-192: integers 1-64, 193-208: integers -1 to -16
# 240-248: float constants (0.5, -0.5, 1.0, -1.0, 2.0, -2.0, 4.0, -4.0, 1/(2*PI))
INV_2PI = src[248]
DPP16 = src[250]
SCC = src[253]
# 255: literal constant
v = src[256:511] # VGPR0-255
# ══════════════════════════════════════════════════════════════
# BitField
# ══════════════════════════════════════════════════════════════
class _Bits:
def __getitem__(self, key) -> BitField: return BitField(key.start, key.stop) if isinstance(key, slice) else BitField(key, key)
"""Helper for defining bit fields with slice syntax: bits[hi:lo] or bits[n]."""
def __getitem__(self, key) -> 'BitField': return BitField(key.start, key.stop) if isinstance(key, slice) else BitField(key, key)
bits = _Bits()
# Source operand with modifiers - base class for anything that can be a src with neg/abs
class SrcMod:
__slots__ = ('val', 'neg', 'abs_')
def __init__(self, val: int, neg: bool = False, abs_: bool = False): self.val, self.neg, self.abs_ = val, neg, abs_
def __repr__(self): return f"{'-' if self.neg else ''}{'|' if self.abs_ else ''}{self.val}{'|' if self.abs_ else ''}"
def __neg__(self): return SrcMod(self.val, not self.neg, self.abs_)
def __abs__(self): return SrcMod(self.val, self.neg, True)
class BitField:
def __init__(self, hi: int, lo: int, default: int = 0):
self.hi, self.lo, self.default, self.name, self.mask = hi, lo, default, None, (1 << (hi - lo + 1)) - 1
def __set_name__(self, owner, name): self.name = name
def __eq__(self, other) -> 'FixedBitField':
if isinstance(other, int): return FixedBitField(self.hi, self.lo, other)
return NotImplemented
def enum(self, enum_cls) -> 'EnumBitField': return EnumBitField(self.hi, self.lo, enum_cls)
def encode(self, val) -> int:
assert isinstance(val, int), f"BitField.encode expects int, got {type(val).__name__}"
return val
def decode(self, val): return val
def set(self, raw: int, val) -> int:
if val is None: val = self.default
encoded = self.encode(val)
if encoded < 0 or encoded > self.mask: raise RuntimeError(f"field '{self.name}': value {encoded} doesn't fit in {self.hi - self.lo + 1} bits")
return (raw & ~(self.mask << self.lo)) | (encoded << self.lo)
def __get__(self, obj, objtype=None):
if obj is None: return self
return self.decode((obj._raw >> self.lo) & self.mask)
# Register types
class Reg(SrcMod):
__slots__ = ('idx', 'count', 'hi')
def __init__(self, idx: int, count: int = 1, hi: bool = False, neg: bool = False, abs_: bool = False):
self.idx, self.count, self.hi = idx, count, hi
super().__init__(idx, neg, abs_)
def __repr__(self): return f"{self.__class__.__name__.lower()[0]}[{self.idx}]" if self.count == 1 else f"{self.__class__.__name__.lower()[0]}[{self.idx}:{self.idx + self.count}]"
def __neg__(self): return self.__class__(self.idx, self.count, self.hi, not self.neg, self.abs_)
def __abs__(self): return self.__class__(self.idx, self.count, self.hi, self.neg, True)
@property
def l(self): return self.__class__(self.idx, self.count, False, self.neg, self.abs_)
@property
def h(self): return self.__class__(self.idx, self.count, True, self.neg, self.abs_)
class FixedBitField(BitField):
def set(self, raw: int, val=None) -> int:
assert val is None, f"FixedBitField does not accept values, got {val}"
return super().set(raw, self.default)
T = TypeVar('T', bound=Reg)
class _RegFactory(Generic[T]):
def __init__(self, cls: type[T], name: str): self._cls, self._name = cls, name
@overload
def __getitem__(self, key: int) -> Reg: ...
@overload
def __getitem__(self, key: slice) -> Reg: ...
def __getitem__(self, key: int | slice) -> Reg:
return self._cls(key.start, key.stop - key.start + 1) if isinstance(key, slice) else self._cls(key)
def __repr__(self): return f"<{self._name} factory>"
class EnumBitField(BitField):
def __init__(self, hi: int, lo: int, enum_cls):
super().__init__(hi, lo)
self._enum = enum_cls
def encode(self, val) -> int:
if not isinstance(val, self._enum): raise RuntimeError(f"expected {self._enum.__name__}, got {type(val).__name__}")
return val.value
def decode(self, raw): return self._enum(raw)
class SGPR(Reg): pass
class VGPR(Reg): pass
class TTMP(Reg): pass
s: _RegFactory[SGPR] = _RegFactory(SGPR, "SGPR")
v: _RegFactory[VGPR] = _RegFactory(VGPR, "VGPR")
ttmp: _RegFactory[TTMP] = _RegFactory(TTMP, "TTMP")
# ══════════════════════════════════════════════════════════════
# Typed fields
# ══════════════════════════════════════════════════════════════
# Special registers as SrcMod objects (support -VCC_LO, abs(EXEC_LO), etc.)
VCC_LO, VCC_HI, VCC = SrcMod(106), SrcMod(107), SrcMod(106)
EXEC_LO, EXEC_HI, EXEC = SrcMod(126), SrcMod(127), SrcMod(126)
SCC, M0, NULL, OFF = SrcMod(253), SrcMod(125), SrcMod(124), SrcMod(124)
import struct
def _f32(f: float) -> int: return struct.unpack('I', struct.pack('f', f))[0]
# Field type markers (runtime classes for validation)
class _SSrc: pass
class _Src: pass
class _Imm: pass
class _SImm: pass
class _VDSTYEnc: pass # VOPD vdsty: encoded = actual >> 1, actual = (encoded << 1) | ((vdstx & 1) ^ 1)
class _SGPRField: pass
class _VGPRField: pass
class SrcField(BitField):
_valid_range = (0, 511) # inclusive
_FLOAT_ENC = {0.5: 240, -0.5: 241, 1.0: 242, -1.0: 243, 2.0: 244, -2.0: 245, 4.0: 246, -4.0: 247}
# Type aliases for annotations - tells mypy it's a BitField while preserving marker info
SSrc = Annotated[BitField, _SSrc]
Src = Annotated[BitField, _Src]
Imm = Annotated[BitField, _Imm]
SImm = Annotated[BitField, _SImm]
VDSTYEnc = Annotated[BitField, _VDSTYEnc]
SGPRField = Annotated[BitField, _SGPRField]
VGPRField = Annotated[BitField, _VGPRField]
class RawImm:
def __init__(self, val: int): self.val = val
def __repr__(self): return f"RawImm({self.val})"
def __eq__(self, other): return isinstance(other, RawImm) and self.val == other.val
def __init__(self, hi: int, lo: int, default=s[0]):
super().__init__(hi, lo, default)
expected_size = self._valid_range[1] - self._valid_range[0] + 1
actual_size = 1 << (hi - lo + 1)
if actual_size != expected_size:
raise RuntimeError(f"{self.__class__.__name__}: field size {hi - lo + 1} bits ({actual_size}) doesn't match range {self._valid_range} ({expected_size})")
def unwrap(val) -> int:
if isinstance(val, RawImm): return val.val
if isinstance(val, SrcMod) and not isinstance(val, Reg): return val.val # Special registers like VCC_LO, NULL
if hasattr(val, 'value'): return val.value # IntEnum
if hasattr(val, 'idx'): return val.idx # Reg
return val
def encode(self, val) -> int:
"""Encode value. Returns 255 (literal marker) for out-of-range values."""
if isinstance(val, Reg): offset = val.offset
elif isinstance(val, float): offset = self._FLOAT_ENC.get(val, 255)
elif isinstance(val, int) and 0 <= val <= 64: offset = 128 + val
elif isinstance(val, int) and -16 <= val < 0: offset = 192 - val
elif isinstance(val, int): offset = 255 # literal
else: raise TypeError(f"invalid src value {val}")
if not (self._valid_range[0] <= offset <= self._valid_range[1]):
raise TypeError(f"{self.__class__.__name__}: {val} (offset {offset}) out of range {self._valid_range}")
return offset - self._valid_range[0]
# Encoding/decoding constants
FLOAT_ENC = {0.5: 240, -0.5: 241, 1.0: 242, -1.0: 243, 2.0: 244, -2.0: 245, 4.0: 246, -4.0: 247}
FLOAT_DEC = {v: str(k) for k, v in FLOAT_ENC.items()}
SPECIAL_GPRS = {106: "vcc_lo", 107: "vcc_hi", 124: "null", 125: "m0", 126: "exec_lo", 127: "exec_hi", 253: "scc"}
SPECIAL_PAIRS = {106: "vcc", 126: "exec"}
SRC_FIELDS = {'src0', 'src1', 'src2', 'ssrc0', 'ssrc1', 'soffset', 'srcx0', 'srcy0'}
RAW_FIELDS = {'vdata', 'vdst', 'vaddr', 'addr', 'data', 'data0', 'data1', 'sdst', 'sdata', 'vsrc1'}
def decode(self, raw): return src[raw + self._valid_range[0]]
def _encode_reg(val: Reg) -> int: return (108 if isinstance(val, TTMP) else 0) + val.idx
def __get__(self, obj, objtype=None):
if obj is None: return self
reg = self.decode((obj._raw >> self.lo) & self.mask)
# Resize register based on operand info (skip non-resizable special registers)
# VCC/EXEC pairs (106, 126), NULL (124), M0 (125), float constants (240-255)
if reg.offset not in (124, 125) and not 240 <= reg.offset <= 255:
if sz := obj.op_regs.get(self.name, 1): reg = Reg(reg.offset, sz, neg=reg.neg, abs_=reg.abs_, hi=reg.hi)
return reg
def _is_inline_const(v: int) -> bool: return 0 <= v <= 127 or 128 <= v <= 208 or 240 <= v <= 255
class VGPRField(SrcField):
_valid_range = (256, 511)
def __init__(self, hi: int, lo: int, default=v[0]): super().__init__(hi, lo, default)
def encode(self, val) -> int:
if not isinstance(val, Reg): raise TypeError(f"VGPRField requires Reg, got {type(val).__name__}")
# For 8-bit vdst fields in VOP1/VOP2 16-bit ops, bit 7 is opsel for dest half
encoded = super().encode(val)
if val.hi and (self.hi - self.lo + 1) == 8:
if encoded >= 128:
raise ValueError(f"VGPRField: v[{encoded}].h not encodable in 8-bit field (v[0:127] only for .h)")
encoded |= 0x80
return encoded
class SGPRField(SrcField): _valid_range = (0, 127)
class SSrcField(SrcField): _valid_range = (0, 255)
def encode_src(val) -> int:
if isinstance(val, VGPR): return 256 + _encode_reg(val)
if isinstance(val, Reg): return _encode_reg(val)
if isinstance(val, SrcMod) and not isinstance(val, Reg): return val.val if _is_inline_const(val.val) else 255
if hasattr(val, 'value'): return val.value # IntEnum
if isinstance(val, float): return 128 if val == 0.0 else FLOAT_ENC.get(val, 255)
if isinstance(val, int): return 128 + val if 0 <= val <= 64 else 192 - val if -16 <= val <= -1 else 255
return 255
class AlignedSGPRField(BitField):
"""SGPR field with alignment requirement. Encoded as sgpr_index // alignment."""
_align: int = 2
def encode(self, val):
if isinstance(val, int) and val == 0: return 0 # default: encode as s[0]
if not isinstance(val, Reg): raise TypeError(f"{self.__class__.__name__} requires Reg, got {type(val).__name__}")
if not (0 <= val.offset < 128): raise ValueError(f"{self.__class__.__name__} requires SGPR, got offset {val.offset}")
if val.offset & (self._align - 1): raise ValueError(f"{self.__class__.__name__} requires {self._align}-aligned SGPR, got s[{val.offset}]")
return val.offset >> (self._align.bit_length() - 1)
def decode(self, raw): return src[raw << (self._align.bit_length() - 1)]
def __get__(self, obj, objtype=None):
if obj is None: return self
reg = self.decode((obj._raw >> self.lo) & self.mask)
if sz := obj.op_regs.get(self.name, 1): reg = Reg(reg.offset, sz, neg=reg.neg, abs_=reg.abs_, hi=reg.hi)
return reg
def decode_src(val: int) -> str:
if val <= 105: return f"s{val}"
if val in SPECIAL_GPRS: return SPECIAL_GPRS[val]
if val in FLOAT_DEC: return FLOAT_DEC[val]
if 108 <= val <= 123: return f"ttmp{val - 108}"
if 128 <= val <= 192: return str(val - 128)
if 193 <= val <= 208: return str(-(val - 192))
if 256 <= val <= 511: return f"v{val - 256}"
return "lit" if val == 255 else f"?{val}"
class SBaseField(AlignedSGPRField): _align = 2
class SRsrcField(AlignedSGPRField): _align = 4
class VDSTYField(BitField):
"""VOPD vdsty: encoded = vgpr_idx >> 1. Actual vgpr = (encoded << 1) | ((vdstx & 1) ^ 1)."""
def encode(self, val):
if not isinstance(val, Reg): raise TypeError(f"VDSTYField requires Reg, got {type(val).__name__}")
if not (256 <= val.offset < 512): raise ValueError(f"VDSTYField requires VGPR, got offset {val.offset}")
return (val.offset - 256) >> 1
def decode(self, raw): return raw # raw value, actual vdsty = (raw << 1) | ((vdstx & 1) ^ 1)
# ══════════════════════════════════════════════════════════════
# Operand info from XML
# ══════════════════════════════════════════════════════════════
import functools
from extra.assembly.amd.autogen.rdna3.operands import OPERANDS as OPERANDS_RDNA3
from extra.assembly.amd.autogen.rdna4.operands import OPERANDS as OPERANDS_RDNA4
from extra.assembly.amd.autogen.cdna.operands import OPERANDS as OPERANDS_CDNA
OPERANDS = {**OPERANDS_CDNA, **OPERANDS_RDNA3, **OPERANDS_RDNA4}
# ══════════════════════════════════════════════════════════════
# Inst base class
# ══════════════════════════════════════════════════════════════
# Instruction base class
class Inst:
_fields: dict[str, BitField]
_encoding: tuple[BitField, int] | None = None
_defaults: dict[str, int] = {}
_values: dict[str, int | RawImm]
_words: int # size in 32-bit words, set by decode_program
_literal: int | None
_fields: list[tuple[str, BitField]]
_base_size: int
def __init_subclass__(cls, **kwargs):
super().__init_subclass__(**kwargs)
cls._fields = {n: v[0] if isinstance(v, tuple) else v for n, v in cls.__dict__.items() if isinstance(v, BitField) or (isinstance(v, tuple) and len(v) == 2 and isinstance(v[0], BitField))}
if 'encoding' in cls._fields and isinstance(cls.__dict__.get('encoding'), tuple): cls._encoding = cls.__dict__['encoding']
def __init_subclass__(cls):
# Collect fields from all parent classes, then override with this class's fields
inherited = {}
for base in reversed(cls.__mro__[1:]):
if hasattr(base, '_fields'):
inherited.update({name: field for name, field in base._fields})
inherited.update({name: val for name, val in cls.__dict__.items() if isinstance(val, BitField)})
cls._fields = list(inherited.items())
cls._base_size = (max(f.hi for _, f in cls._fields) + 8) // 8
def _or_field(self, name: str, bit: int):
cur = self._values.get(name, 0)
self._values[name] = (cur.val if isinstance(cur, RawImm) else cur) | bit
def __init__(self, *args, **kwargs):
self._raw = 0
self._literal: int | None = kwargs.pop('literal', None)
# Map positional args to field names (skip FixedBitFields)
args_iter = iter(args)
vals = {}
for name, field in self._fields:
if isinstance(field, FixedBitField): vals[name] = None
elif name in kwargs: vals[name] = kwargs[name]
else: vals[name] = next(args_iter, None)
remaining = list(args_iter)
assert not remaining, f"too many positional args: {remaining}"
# Extract modifiers from Reg objects and merge into neg/abs/opsel
neg_bits, abs_bits, opsel_bits = 0, 0, 0
for name, bit in [('src0', 0), ('src1', 1), ('src2', 2)]:
if name in vals and isinstance(vals[name], Reg):
reg = vals[name]
if reg.neg: neg_bits |= (1 << bit)
if reg.abs_: abs_bits |= (1 << bit)
if reg.hi: opsel_bits |= (1 << bit)
if 'vdst' in vals and isinstance(vals['vdst'], Reg) and vals['vdst'].hi:
opsel_bits |= (1 << 3)
if neg_bits: vals['neg'] = (vals.get('neg') or 0) | neg_bits
if abs_bits: vals['abs'] = (vals.get('abs') or 0) | abs_bits
if opsel_bits: vals['opsel'] = (vals.get('opsel') or 0) | opsel_bits
# Set all field values
for name, field in self._fields:
val = vals[name]
self._raw = field.set(self._raw, val)
# Capture literal for SrcFields that encoded to 255
if isinstance(field, SrcField) and val is not None and field.encode(val) + field._valid_range[0] == 255 and self._literal is None:
self._literal = _f32(val) if isinstance(val, float) else val & 0xFFFFFFFF
# Validate register sizes against operand info (skip special registers like NULL, VCC, EXEC)
for name, expected in self.op_regs.items():
if (val := vals.get(name)) is None: continue
if isinstance(val, Reg) and val.sz != expected and not (106 <= val.offset <= 127 or val.offset == 253):
raise TypeError(f"{name} expects {expected} register(s), got {val.sz}")
def _encode_src(self, name: str, val):
"""Encode a source field, handling modifiers and literals."""
encoded = encode_src(val)
has_opsel = 'opsel' in self._fields
if isinstance(val, Reg) and val.hi and not has_opsel: encoded |= 0x80 # hi bit in src for VOP1/2/C
self._values[name] = RawImm(encoded)
# Handle neg/abs/opsel modifiers
if isinstance(val, SrcMod):
mod_bit = {'src0': 1, 'src1': 2, 'src2': 4}.get(name, 0)
if val.neg and 'neg' in self._fields: self._or_field('neg', mod_bit)
if val.abs_ and 'abs' in self._fields: self._or_field('abs', mod_bit)
if isinstance(val, Reg) and val.hi and has_opsel:
self._or_field('opsel', {'src0': 1, 'src1': 2, 'src2': 4}.get(name, 0))
# Track literal value if needed
if encoded == 255 and self._literal is None:
import struct
# Check if THIS source uses 64-bit encoding (not just src0)
src_idx = {'src0': 0, 'src1': 1, 'src2': 2, 'ssrc0': 0, 'ssrc1': 1}.get(name, 0)
src_regs = self.src_regs(src_idx)
is_64 = src_regs == 2
if isinstance(val, SrcMod) and not isinstance(val, Reg): lit32 = val.val & MASK32
elif isinstance(val, int) and not isinstance(val, IntEnum): lit32 = val & MASK32
elif isinstance(val, float): lit32 = (_i64(val) >> 32) if is_64 else _i32(val) # f64: high 32 bits of f64 repr
else: return
self._literal = (lit32 << 32) if is_64 else lit32
@property
def op_name(self) -> str: return self.op.name
@property
def operands(self) -> dict: return OPERANDS.get(self.op, {}) if hasattr(self, 'op') else {}
def _is_cdna(self) -> bool: return 'cdna' in type(self).__module__
def _encode_raw(self, name: str, val):
"""Encode a raw register field (vdst, vdata, etc.)."""
if isinstance(val, Reg):
encoded = _encode_reg(val)
if val.hi and 'opsel' not in self._fields: encoded |= 0x80
self._values[name] = encoded
if name == 'vdst' and val.hi and 'opsel' in self._fields: self._or_field('opsel', 8)
elif hasattr(val, 'value'): self._values[name] = val.value
@functools.cached_property
def op_bits(self) -> dict[str, int]:
"""Get bit widths for each operand field, with WAVE32 and addr/saddr adjustments."""
if not hasattr(self, 'op'): return {k: v[1] for k, v in self.operands.items()}
bits = {k: v[1] for k, v in self.operands.items()}
# RDNA (WAVE32): condition masks, carry flags, and compare results are 32-bit
if not self._is_cdna():
name = self.op_name.lower()
if 'cndmask' in name and 'src2' in bits: bits['src2'] = 32
if '_co_ci_' in name:
if 'src2' in bits: bits['src2'] = 32
if 'sdst' in bits: bits['sdst'] = 32
if 'cmp' in name and 'vdst' in bits: bits['vdst'] = 32
# GLOBAL/FLAT: addr is 32-bit if saddr is valid SGPR, 64-bit if saddr is NULL
if 'addr' in bits and (saddr_field := getattr(type(self), 'saddr', None)):
saddr_val = (self._raw >> saddr_field.lo) & saddr_field.mask # access _raw directly to avoid recursion
bits['addr'] = 64 if saddr_val in (124, 125) else 32 # 124=NULL, 125=M0
# MUBUF/MTBUF: vaddr size depends on offen/idxen (1 or 2 regs)
if 'vaddr' in bits and hasattr(self, 'offen') and hasattr(self, 'idxen'):
bits['vaddr'] = max(1, self.offen + self.idxen) * 32
return bits
@property
def op_regs(self) -> dict[str, int]:
"""Get register counts for each operand field."""
return {k: max(1, v // 32) for k, v in self.op_bits.items()}
def _validate(self, orig_args: dict):
"""Format-specific validation. Override in subclass or check by class name."""
cls_name, op = self.__class__.__name__, orig_args.get('op')
if hasattr(op, 'value'): op = op.value
# SMEM: register count must match opcode
if cls_name == 'SMEM' and op is not None:
expected = {0:1, 1:2, 2:4, 3:8, 4:16, 8:1, 9:2, 10:4, 11:8, 12:16}.get(op)
sdata = orig_args.get('sdata')
if expected and isinstance(sdata, Reg) and sdata.count != expected:
raise ValueError(f"SMEM op {op} expects {expected} registers, got {sdata.count}")
# SOP1: b32=1 reg, b64=2 regs
if cls_name == 'SOP1' and hasattr(orig_args.get('op'), 'name'):
expected = 2 if orig_args['op'].name.endswith('_B64') else 1
for fld in ('sdst', 'ssrc0'):
if isinstance(orig_args.get(fld), Reg) and orig_args[fld].count != expected:
raise ValueError(f"SOP1 {orig_args['op'].name} expects {expected} register(s) for {fld}, got {orig_args[fld].count}")
@functools.cached_property
def canonical_op_bits(self) -> dict[str, int]:
"""Get bit widths with canonical names: {'s0', 's1', 's2', 'd', 'data'}."""
bits = {'d': 32, 's0': 32, 's1': 32, 's2': 32, 'data': 32}
for name, val in self.op_bits.items():
if name in ('src0', 'vsrc0', 'ssrc0'): bits['s0'] = val
elif name in ('src1', 'vsrc1', 'ssrc1'): bits['s1'] = val
elif name == 'src2': bits['s2'] = val
elif name in ('vdst', 'sdst', 'sdata'): bits['d'] = val
elif name in ('data', 'vdata', 'data0'): bits['data'] = val
return bits
@property
def canonical_op_regs(self) -> dict[str, int]:
"""Get register counts with canonical names: {'s0', 's1', 's2', 'd', 'data'}."""
return {k: max(1, v // 32) for k, v in self.canonical_op_bits.items()}
def __init__(self, *args, literal: int | None = None, **kwargs):
self._values, self._literal = dict(self._defaults), None
field_names = [n for n in self._fields if n != 'encoding']
orig_args = dict(zip(field_names, args)) | kwargs
self._values.update(orig_args)
self._validate(orig_args)
# Pre-shift literal for 64-bit sources (literal param is always raw 32-bit value from user)
if literal is not None:
# Find which source uses the literal (255) and check its register count
for n, idx in [('src0', 0), ('src1', 1), ('src2', 2), ('ssrc0', 0), ('ssrc1', 1)]:
v = orig_args.get(n)
if (isinstance(v, RawImm) and v.val == 255) or (isinstance(v, int) and v == 255):
self._literal = (literal << 32) if self.src_regs(idx) == 2 else literal
break
else:
self._literal = literal # fallback if no literal source found
cls_name = self.__class__.__name__
# Format-specific setup
if cls_name == 'FLAT' and 'sve' in self._fields:
seg = self._values.get('seg', 0)
if (seg.val if isinstance(seg, RawImm) else seg) == 1 and isinstance(orig_args.get('addr'), VGPR): self._values['sve'] = 1
if cls_name == 'VOP3P':
op = orig_args.get('op')
if hasattr(op, 'value'): op = op.value
if op in (32, 33, 34) and 'opsel_hi' not in orig_args: self._values['opsel_hi'] = self._values['opsel_hi2'] = 0
# Encode all fields
for name, val in list(self._values.items()):
if name == 'encoding': continue
if isinstance(val, RawImm):
if name in RAW_FIELDS: self._values[name] = val.val
continue
field = self._fields.get(name)
marker = field.marker if field else None
# Type validation
if marker is _SGPRField and isinstance(val, VGPR): raise TypeError(f"field '{name}' requires SGPR, got VGPR")
if marker is _VGPRField and not isinstance(val, VGPR): raise TypeError(f"field '{name}' requires VGPR, got {type(val).__name__}")
if marker is _SSrc and isinstance(val, VGPR): raise TypeError(f"field '{name}' requires scalar source, got VGPR")
# Encode by field type
if name in SRC_FIELDS: self._encode_src(name, val)
elif name in RAW_FIELDS: self._encode_raw(name, val)
elif name == 'sbase': self._values[name] = (val.idx if isinstance(val, Reg) else val.val if isinstance(val, SrcMod) else val * 2) // 2
elif name in {'srsrc', 'ssamp'} and isinstance(val, Reg): self._values[name] = val.idx // 4
elif marker is _VDSTYEnc and isinstance(val, VGPR): self._values[name] = val.idx >> 1
def _encode_field(self, name: str, val) -> int:
if isinstance(val, RawImm): return val.val
if isinstance(val, SrcMod) and not isinstance(val, Reg): return val.val # Special regs like VCC_LO
if name in {'srsrc', 'ssamp'}: return val.idx // 4 if isinstance(val, Reg) else val
if name == 'sbase': return val.idx // 2 if isinstance(val, Reg) else val.val // 2 if isinstance(val, SrcMod) else val
if name in RAW_FIELDS: return _encode_reg(val) if isinstance(val, Reg) else val
if isinstance(val, Reg) or name in SRC_FIELDS: return encode_src(val)
return val.value if hasattr(val, 'value') else val
def to_int(self) -> int:
word = (self._encoding[1] & self._encoding[0].mask()) << self._encoding[0].lo if self._encoding else 0
for n, bf in self._fields.items():
if n != 'encoding' and n in self._values: word |= (self._encode_field(n, self._values[n]) & bf.mask()) << bf.lo
return word
def _get_literal(self) -> int | None:
for n in SRC_FIELDS:
if n in self._values and not isinstance(v := self._values[n], RawImm) and isinstance(v, int) and not isinstance(v, IntEnum) and not (0 <= v <= 64 or -16 <= v <= -1): return v
return None
def _is_64bit_op(self) -> bool:
"""Check if this instruction uses 64-bit operands (and thus 64-bit literals)."""
op = self._values.get('op')
if op is None: return False
op_name = op.name if hasattr(op, 'name') else None
# Look up op name from int if needed (happens in from_bytes path)
if op_name is None and self.__class__.__name__ == 'VOP3':
try: op_name = VOP3Op(op).name
except ValueError: pass
if op_name is None and self.__class__.__name__ == 'VOPC':
try: op_name = VOPCOp(op).name
except ValueError: pass
if op_name is None: return False
# V_LDEXP_F64 has 32-bit integer src1, so literal is 32-bit
return op_name != 'V_LDEXP_F64' and op_name.endswith(('_F64', '_B64', '_I64', '_U64'))
def num_srcs(self) -> int:
"""Get number of source operands from operand info."""
ops = self.operands
if 'src2' in ops: return 3
if 'src1' in ops or 'vsrc1' in ops or 'ssrc1' in ops: return 2
if 'src0' in ops or 'vsrc0' in ops or 'ssrc0' in ops: return 1
return 0
@classmethod
def _size(cls) -> int: return cls._base_size
def size(self) -> int: return self._base_size + (4 if self._literal is not None else 0)
def disasm(self) -> str:
from extra.assembly.amd.disasm import disasm
return disasm(self)
def to_bytes(self) -> bytes:
result = self.to_int().to_bytes(self._size(), 'little')
lit = self._get_literal() or getattr(self, '_literal', None)
if lit is None: return result
# For 64-bit sources, literal is stored in high 32 bits internally, but encoded as 4 bytes
# Find which source uses the literal (255) and check its register count
lit_src_is_64 = False
for n, idx in [('src0', 0), ('src1', 1), ('src2', 2), ('ssrc0', 0), ('ssrc1', 1)]:
if n not in self._values: continue
v = self._values[n]
if (isinstance(v, RawImm) and v.val == 255) or (isinstance(v, int) and v == 255):
lit_src_is_64 = self.is_src_64(idx)
break
lit32 = (lit >> 32) if lit_src_is_64 else lit
return result + (lit32 & MASK32).to_bytes(4, 'little')
result = self._raw.to_bytes(self._base_size, 'little')
if self._literal is not None:
result += (self._literal & 0xFFFFFFFF).to_bytes(4, 'little')
return result
@classmethod
def _size(cls) -> int: return 4 if issubclass(cls, Inst32) else 8
def size(self) -> int:
# Literal is always 4 bytes in the binary (for 64-bit ops, it's in high 32 bits)
return self._size() + (4 if self._literal is not None else 0)
@classmethod
def from_int(cls, word: int):
inst = object.__new__(cls)
inst._values = {n: RawImm(v) if n in SRC_FIELDS else v for n, bf in cls._fields.items() if n != 'encoding' for v in [(word >> bf.lo) & bf.mask()]}
inst._literal = None
return inst
def has_literal(self) -> bool:
"""Check if instruction has a 32-bit literal constant."""
for name, field in self._fields:
if isinstance(field, SrcField) and getattr(self, name).offset == 255:
return True
# Check op, opx, opy for instructions that always have literals
for attr in ('op', 'opx', 'opy'):
if hasattr(self, attr) and any(x in getattr(self, attr).name for x in ('FMAMK', 'FMAAK', 'MADMK', 'MADAK', 'SETREG_IMM32')):
return True
return False
@classmethod
def from_bytes(cls, data: bytes):
inst = cls.from_int(int.from_bytes(data[:cls._size()], 'little'))
op_val = inst._values.get('op', 0)
has_literal = cls.__name__ == 'VOP2' and op_val in (44, 45, 55, 56)
has_literal = has_literal or (cls.__name__ == 'SOP2' and op_val in (69, 70))
# VOPD fmaak/fmamk always have a literal (opx/opy value 1 or 2)
opx, opy = inst._values.get('opx', 0), inst._values.get('opy', 0)
has_literal = has_literal or (cls.__name__ == 'VOPD' and (opx in (1, 2) or opy in (1, 2)))
for n in SRC_FIELDS:
if n in inst._values and isinstance(inst._values[n], RawImm) and inst._values[n].val == 255: has_literal = True
if has_literal:
# For 64-bit ops, the literal is 32 bits placed in the HIGH 32 bits of the 64-bit value
# (low 32 bits are zero). This is how AMD hardware interprets 32-bit literals for 64-bit ops.
# Check which source uses the literal and whether THAT source is 64-bit
if len(data) >= cls._size() + 4:
lit32 = int.from_bytes(data[cls._size():cls._size()+4], 'little')
# Find which source has literal (255) and check its register count
lit_src_is_64 = False
for n, idx in [('src0', 0), ('src1', 1), ('src2', 2)]:
if n in inst._values and isinstance(inst._values[n], RawImm) and inst._values[n].val == 255:
lit_src_is_64 = inst.src_regs(idx) == 2
break
inst._literal = (lit32 << 32) if lit_src_is_64 else lit32
inst = object.__new__(cls)
inst._raw = int.from_bytes(data[:cls._base_size], 'little')
inst._literal = int.from_bytes(data[cls._base_size:cls._base_size + 4], 'little') if inst.has_literal() else None
return inst
def __eq__(self, other): return type(self) is type(other) and self._raw == other._raw and self._literal == other._literal
def __hash__(self): return hash((type(self), self._raw, self._literal))
def __repr__(self):
# Use _fields order and exclude fields that are 0/default (for consistent repr after roundtrip)
def is_zero(v): return (isinstance(v, int) and v == 0) or (isinstance(v, VGPR) and v.idx == 0 and v.count == 1)
items = [(k, self._values[k]) for k in self._fields if k in self._values and k != 'encoding'
and not (is_zero(self._values[k]) and k not in {'op'})]
lit = f", literal={hex(self._literal)}" if self._literal is not None else ""
return f"{self.__class__.__name__}({', '.join(f'{k}={v}' for k, v in items)}{lit})"
def __getattr__(self, name: str):
if name.startswith('_'): raise AttributeError(name)
return unwrap(self._values.get(name, 0))
def lit(self, v: int, neg: bool = False) -> str:
s = f"0x{self._literal:x}" if v == 255 and self._literal else decode_src(v)
return f"-{s}" if neg else s
def __eq__(self, other):
if not isinstance(other, Inst): return NotImplemented
return self.__class__ == other.__class__ and self._values == other._values and self._literal == other._literal
def __hash__(self): return hash((self.__class__.__name__, tuple(sorted((k, repr(v)) for k, v in self._values.items())), self._literal))
def disasm(self) -> str:
from extra.assembly.amd.asm import disasm
return disasm(self)
_enum_map = {'VOP1': VOP1Op, 'VOP2': VOP2Op, 'VOP3': VOP3Op, 'VOP3SD': VOP3SDOp, 'VOP3P': VOP3POp, 'VOPC': VOPCOp,
'SOP1': SOP1Op, 'SOP2': SOP2Op, 'SOPC': SOPCOp, 'SOPK': SOPKOp, 'SOPP': SOPPOp,
'SMEM': SMEMOp, 'DS': DSOp, 'FLAT': FLATOp, 'MUBUF': MUBUFOp, 'MTBUF': MTBUFOp, 'MIMG': MIMGOp,
'VOPD': VOPDOp, 'VINTERP': VINTERPOp}
_VOP3SD_OPS = {288, 289, 290, 764, 765, 766, 767, 768, 769, 770}
@property
def op(self):
"""Return the op as an enum (e.g., VOP1Op.V_MOV_B32). VOP3 returns VOPCOp/VOP3SDOp for those op ranges."""
val = self._values.get('op')
if val is None: return None
if hasattr(val, 'name'): return val # already an enum
cls_name = self.__class__.__name__
assert cls_name in self._enum_map, f"no enum map for {cls_name}"
return self._enum_map[cls_name](val)
@cached_property
def op_name(self) -> str:
op = self.op
return op.name if hasattr(op, 'name') else ''
@cached_property
def _spec_regs(self) -> tuple[int, int, int, int]: return spec_regs(self.op_name)
@cached_property
def _spec_dtype(self) -> tuple[str | None, str | None, str | None, str | None]: return spec_dtype(self.op_name)
def dst_regs(self) -> int: return self._spec_regs[0]
def src_regs(self, n: int) -> int: return self._spec_regs[n + 1]
def num_srcs(self) -> int: return spec_num_srcs(self.op_name)
def dst_dtype(self) -> str | None: return self._spec_dtype[0]
def src_dtype(self, n: int) -> str | None: return self._spec_dtype[n + 1]
def is_src_16(self, n: int) -> bool: return self._spec_regs[n + 1] == 1 and is_dtype_16(self._spec_dtype[n + 1])
def is_src_64(self, n: int) -> bool: return self._spec_regs[n + 1] == 2
def is_16bit(self) -> bool: return spec_is_16bit(self.op_name)
def is_64bit(self) -> bool: return spec_is_64bit(self.op_name)
def is_dst_16(self) -> bool: return self._spec_regs[0] == 1 and is_dtype_16(self._spec_dtype[0])
class Inst32(Inst): pass
class Inst64(Inst): pass
# collect (repr, is_default) pairs, strip trailing defaults so repr roundtrips with eval
name = self.op.name.lower() if hasattr(self, 'op') else type(self).__name__
parts = [(repr(v := getattr(self, n)), v == f.default) for n, f in self._fields if n != 'op' and not isinstance(f, FixedBitField)]
while parts and parts[-1][1]: parts.pop()
return f"{name}({', '.join(p[0] for p in parts)})"
+359 -362
View File
@@ -1,17 +1,44 @@
# RDNA3 emulator - executes compiled pseudocode from AMD ISA PDF
# mypy: ignore-errors
from __future__ import annotations
import ctypes
from extra.assembly.amd.dsl import Inst, unwrap, FLOAT_ENC, MASK32, MASK64, _f32, _i32, _sext, _f16, _i16, _f64, _i64
from extra.assembly.amd.pcode import Reg
from extra.assembly.amd.asm import detect_format
from extra.assembly.amd.autogen.rdna3.gen_pcode import get_compiled_functions
import ctypes, functools
from enum import IntEnum
from tinygrad.runtime.autogen import hsa
from extra.assembly.amd.dsl import Inst, NULL, SCC, VCC_LO, VCC_HI, EXEC_LO, EXEC_HI, v, s
from extra.assembly.amd.pcode import _f32, _i32, _sext, _f16, _i16, _f64, _i64
from extra.assembly.amd.decode import decode_inst
from extra.assembly.amd.pcode import compile_pseudocode
from extra.assembly.amd.autogen.rdna3.str_pcode import PCODE
from extra.assembly.amd.autogen.rdna3.ins import (SOP1, SOP2, SOPC, SOPK, SOPP, SMEM, VOP1, VOP2, VOP3, VOP3SD, VOP3P, VOPC, DS, FLAT, VOPD,
SrcEnum, SOP1Op, SOP2Op, SOPCOp, SOPKOp, SOPPOp, SMEMOp, VOP1Op, VOP2Op, VOP3Op, VOP3SDOp, VOP3POp, VOPCOp, DSOp, FLATOp, GLOBALOp, VOPDOp)
SOP1Op, SOP2Op, SOPCOp, SOPKOp, SOPPOp, SMEMOp, VOP1Op, VOP2Op, VOP3Op, VOP3SDOp, VOP3POp, VOPCOp, DSOp, FLATOp, GLOBALOp, SCRATCHOp, VOPDOp)
# Constants and helpers defined locally (not imported from dsl.py)
MASK32, MASK64 = 0xFFFFFFFF, 0xFFFFFFFFFFFFFFFF
FLOAT_ENC = {0.5: 240, -0.5: 241, 1.0: 242, -1.0: 243, 2.0: 244, -2.0: 245, 4.0: 246, -4.0: 247}
class SGPRArray:
"""SGPR array indexed by Reg or int."""
__slots__ = ('_data',)
def __init__(self, size: int): self._data = [0] * size
def __getitem__(self, key): return self._data[getattr(key, 'offset', key)]
def __setitem__(self, key, val): self._data[getattr(key, 'offset', key)] = val
def __len__(self): return len(self._data)
def __iter__(self): return iter(self._data)
class VGPRLane:
"""Single lane of VGPRs indexed by Reg (offset 256-511) or int (0-255)."""
__slots__ = ('_data',)
def __init__(self, size: int): self._data = [0] * size
def __getitem__(self, key):
i = getattr(key, 'offset', key)
return self._data[i - 256 if i >= 256 else i]
def __setitem__(self, key, val):
i = getattr(key, 'offset', key)
self._data[i - 256 if i >= 256 else i] = val
def __len__(self): return len(self._data)
def __iter__(self): return iter(self._data)
Program = dict[int, Inst]
WAVE_SIZE, SGPR_COUNT, VGPR_COUNT = 32, 128, 256
VCC_LO, VCC_HI, NULL, EXEC_LO, EXEC_HI, SCC = SrcEnum.VCC_LO, SrcEnum.VCC_HI, SrcEnum.NULL, SrcEnum.EXEC_LO, SrcEnum.EXEC_HI, SrcEnum.SCC
# Inline constants for src operands 128-254. Build tables for f32, f16, and f64 formats.
_FLOAT_CONSTS = {v: k for k, v in FLOAT_ENC.items()} | {248: 0.15915494309189535} # INV_2PI
@@ -26,61 +53,125 @@ _INLINE_CONSTS_F64 = _build_inline_consts(MASK64, _i64)
# Helper: extract/write 16-bit half from/to 32-bit value
def _src16(raw: int, is_hi: bool) -> int: return ((raw >> 16) & 0xffff) if is_hi else (raw & 0xffff)
def _dst16(cur: int, val: int, is_hi: bool) -> int: return (cur & 0x0000ffff) | ((val & 0xffff) << 16) if is_hi else (cur & 0xffff0000) | (val & 0xffff)
def _vgpr_hi(src: int) -> bool: return src >= 256 and ((src - 256) & 0x80) != 0
def _vgpr_masked(src: int) -> int: return ((src - 256) & 0x7f) + 256 if src >= 256 else src
def _vgpr_hi(src) -> bool: return src.offset >= 256 and ((src.offset - 256) & 0x80) != 0
def _vgpr_masked(src): return v[(src.offset - 256) & 0x7f] if src.offset >= 256 else src
# VOP3 source modifier: apply abs/neg to value
def _mod_src(val: int, idx: int, neg: int, abs_: int, is64: bool = False) -> int:
to_f, to_i = (_f64, _i64) if is64 else (_f32, _i32)
if (abs_ >> idx) & 1: val = to_i(abs(to_f(val)))
if (neg >> idx) & 1: val = to_i(-to_f(val))
return val
# Read source operand with VOP3 modifiers
def _read_src(st, inst, src, idx: int, lane: int, neg: int, abs_: int, opsel: int) -> int:
if src is None: return 0
src_off = src.offset
src_bits = inst.canonical_op_bits[f's{idx}']
literal, is_src_64, is_src_16 = inst._literal, src_bits == 64, src_bits == 16
if is_src_64: return _mod_src(st.rsrc64(src, lane, literal), idx, neg, abs_, is64=True)
if isinstance(inst, VOP3P):
opsel_hi = inst.opsel_hi | (inst.opsel_hi2 << 2)
if 'FMA_MIX' in inst.op_name:
raw = st.rsrc(src, lane, literal)
sign_bit = (15 if not (opsel & (1 << idx)) else 31) if (opsel_hi >> idx) & 1 else 31
if inst.neg_hi & (1 << idx): raw &= ~(1 << sign_bit)
if neg & (1 << idx): raw ^= (1 << sign_bit)
return raw
raw = st.rsrc_f16(src, lane, literal)
hi = _src16(raw, opsel_hi & (1 << idx)) ^ (0x8000 if inst.neg_hi & (1 << idx) else 0)
lo = _src16(raw, opsel & (1 << idx)) ^ (0x8000 if neg & (1 << idx) else 0)
return (hi << 16) | lo
if is_src_16 and isinstance(inst, VOP3):
raw = st.rsrc_f16(src, lane, literal) if 128 <= src_off < 255 else st.rsrc(src, lane, literal)
val = _src16(raw, bool(opsel & (1 << idx)))
if abs_ & (1 << idx): val &= 0x7fff
if neg & (1 << idx): val ^= 0x8000
return val
if is_src_16 and isinstance(inst, (VOP1, VOP2, VOPC)):
if src_off >= 256: return _src16(_mod_src(st.rsrc(_vgpr_masked(src), lane, literal), idx, neg, abs_), _vgpr_hi(src))
return _mod_src(st.rsrc_f16(src, lane, literal), idx, neg, abs_) & 0xffff
return _mod_src(st.rsrc(src, lane, literal), idx, neg, abs_)
# Helper: get number of dwords from memory op name
def _op_ndwords(name: str) -> int:
if '_B128' in name: return 4
if '_B96' in name: return 3
if any(s in name for s in ('_B64', '_U64', '_I64', '_F64')): return 2
return 1
# Helper: build multi-dword int from consecutive VGPRs
def _vgpr_read(V: VGPRLane, reg, ndwords: int) -> int:
return sum(V[reg + i] << (32 * i) for i in range(ndwords))
# Helper: write multi-dword value to consecutive VGPRs
def _vgpr_write(V: VGPRLane, reg, val: int, ndwords: int):
for i in range(ndwords): V[reg + i] = (val >> (32 * i)) & MASK32
# Memory access
_valid_mem_ranges: list[tuple[int, int]] = []
def set_valid_mem_ranges(ranges: set[tuple[int, int]]) -> None: _valid_mem_ranges.clear(); _valid_mem_ranges.extend(ranges)
def _mem_valid(addr: int, size: int) -> bool:
return not _valid_mem_ranges or any(s <= addr and addr + size <= s + z for s, z in _valid_mem_ranges)
def _ctypes_at(addr: int, size: int): return (ctypes.c_uint8 if size == 1 else ctypes.c_uint16 if size == 2 else ctypes.c_uint32).from_address(addr)
def _ctypes_at(addr: int, size: int): return (ctypes.c_uint8 if size == 1 else ctypes.c_uint16 if size == 2 else ctypes.c_uint64 if size == 8 else ctypes.c_uint32).from_address(addr)
def mem_read(addr: int, size: int) -> int: return _ctypes_at(addr, size).value if _mem_valid(addr, size) else 0
def mem_write(addr: int, size: int, val: int) -> None:
if _mem_valid(addr, size): _ctypes_at(addr, size).value = val
# Memory op tables (not pseudocode - these are format descriptions)
def _mem_ops(ops, suffix_map):
return {getattr(e, f"{p}_{s}"): v for e in ops for s, v in suffix_map.items() for p in [e.__name__.replace("Op", "")]}
_LOAD_MAP = {'LOAD_B32': (1,4,0), 'LOAD_B64': (2,4,0), 'LOAD_B96': (3,4,0), 'LOAD_B128': (4,4,0), 'LOAD_U8': (1,1,0), 'LOAD_I8': (1,1,1), 'LOAD_U16': (1,2,0), 'LOAD_I16': (1,2,1)}
_STORE_MAP = {'STORE_B32': (1,4), 'STORE_B64': (2,4), 'STORE_B96': (3,4), 'STORE_B128': (4,4), 'STORE_B8': (1,1), 'STORE_B16': (1,2)}
FLAT_LOAD, FLAT_STORE = _mem_ops([GLOBALOp, FLATOp], _LOAD_MAP), _mem_ops([GLOBALOp, FLATOp], _STORE_MAP)
# D16 ops: load/store 16-bit to lower or upper half of VGPR. Format: (size, sign, hi) where hi=1 means upper 16 bits
_D16_LOAD_MAP = {'LOAD_D16_U8': (1,0,0), 'LOAD_D16_I8': (1,1,0), 'LOAD_D16_B16': (2,0,0),
'LOAD_D16_HI_U8': (1,0,1), 'LOAD_D16_HI_I8': (1,1,1), 'LOAD_D16_HI_B16': (2,0,1)}
_D16_STORE_MAP = {'STORE_D16_HI_B8': (1,1), 'STORE_D16_HI_B16': (2,1)} # (size, hi)
FLAT_D16_LOAD = _mem_ops([GLOBALOp, FLATOp], _D16_LOAD_MAP)
FLAT_D16_STORE = _mem_ops([GLOBALOp, FLATOp], _D16_STORE_MAP)
DS_LOAD = {DSOp.DS_LOAD_B32: (1,4,0), DSOp.DS_LOAD_B64: (2,4,0), DSOp.DS_LOAD_B128: (4,4,0), DSOp.DS_LOAD_U8: (1,1,0), DSOp.DS_LOAD_I8: (1,1,1), DSOp.DS_LOAD_U16: (1,2,0), DSOp.DS_LOAD_I16: (1,2,1)}
DS_STORE = {DSOp.DS_STORE_B32: (1,4), DSOp.DS_STORE_B64: (2,4), DSOp.DS_STORE_B128: (4,4), DSOp.DS_STORE_B8: (1,1), DSOp.DS_STORE_B16: (1,2)}
# 2ADDR ops: load/store two values using offset0 and offset1
DS_LOAD_2ADDR = {DSOp.DS_LOAD_2ADDR_B32: 4, DSOp.DS_LOAD_2ADDR_B64: 8}
DS_STORE_2ADDR = {DSOp.DS_STORE_2ADDR_B32: 4, DSOp.DS_STORE_2ADDR_B64: 8}
SMEM_LOAD = {SMEMOp.S_LOAD_B32: 1, SMEMOp.S_LOAD_B64: 2, SMEMOp.S_LOAD_B128: 4, SMEMOp.S_LOAD_B256: 8, SMEMOp.S_LOAD_B512: 16}
def _make_mem_accessor(read_fn, write_fn):
"""Create a memory accessor class with the given read/write functions."""
class _MemAccessor:
__slots__ = ('_addr',)
def __init__(self, addr: int): self._addr = int(addr)
u8 = property(lambda s: read_fn(s._addr, 1), lambda s, v: write_fn(s._addr, 1, int(v)))
u16 = property(lambda s: read_fn(s._addr, 2), lambda s, v: write_fn(s._addr, 2, int(v)))
u32 = property(lambda s: read_fn(s._addr, 4), lambda s, v: write_fn(s._addr, 4, int(v)))
u64 = property(lambda s: read_fn(s._addr, 8), lambda s, v: write_fn(s._addr, 8, int(v)))
i8 = property(lambda s: _sext(read_fn(s._addr, 1), 8), lambda s, v: write_fn(s._addr, 1, int(v)))
i16 = property(lambda s: _sext(read_fn(s._addr, 2), 16), lambda s, v: write_fn(s._addr, 2, int(v)))
i32 = property(lambda s: _sext(read_fn(s._addr, 4), 32), lambda s, v: write_fn(s._addr, 4, int(v)))
i64 = property(lambda s: _sext(read_fn(s._addr, 8), 64), lambda s, v: write_fn(s._addr, 8, int(v)))
b8, b16, b32, b64 = u8, u16, u32, u64
return _MemAccessor
_GlobalMemAccessor = _make_mem_accessor(mem_read, mem_write)
class _GlobalMem:
"""Global memory wrapper that supports MEM[addr].u32 style access."""
def __getitem__(self, addr) -> _GlobalMemAccessor: return _GlobalMemAccessor(addr)
GlobalMem = _GlobalMem()
class LDSMem:
"""LDS memory wrapper that supports MEM[addr].u32 style access."""
__slots__ = ('_lds',)
def __init__(self, lds: bytearray): self._lds = lds
def _read(self, addr: int, size: int) -> int:
addr = addr & 0xffff
return int.from_bytes(self._lds[addr:addr+size], 'little') if addr + size <= len(self._lds) else 0
def _write(self, addr: int, size: int, val: int):
addr = addr & 0xffff
if addr + size <= len(self._lds): self._lds[addr:addr+size] = (int(val) & ((1 << (size*8)) - 1)).to_bytes(size, 'little')
def __getitem__(self, addr): return _make_mem_accessor(self._read, self._write)(addr)
# SMEM dst register count (for writing result back to SGPRs)
SMEM_DST_COUNT = {SMEMOp.S_LOAD_B32: 1, SMEMOp.S_LOAD_B64: 2, SMEMOp.S_LOAD_B128: 4, SMEMOp.S_LOAD_B256: 8, SMEMOp.S_LOAD_B512: 16}
# VOPD op -> VOP3 op mapping (VOPD is dual-issue of VOP1/VOP2 ops, use VOP3 enums for pseudocode lookup)
_VOPD_TO_VOP = {
VOPDOp.V_DUAL_FMAC_F32: VOP3Op.V_FMAC_F32, VOPDOp.V_DUAL_FMAAK_F32: VOP2Op.V_FMAAK_F32, VOPDOp.V_DUAL_FMAMK_F32: VOP2Op.V_FMAMK_F32,
VOPDOp.V_DUAL_MUL_F32: VOP3Op.V_MUL_F32, VOPDOp.V_DUAL_ADD_F32: VOP3Op.V_ADD_F32, VOPDOp.V_DUAL_SUB_F32: VOP3Op.V_SUB_F32,
VOPDOp.V_DUAL_SUBREV_F32: VOP3Op.V_SUBREV_F32, VOPDOp.V_DUAL_MUL_DX9_ZERO_F32: VOP3Op.V_MUL_DX9_ZERO_F32,
VOPDOp.V_DUAL_MOV_B32: VOP3Op.V_MOV_B32, VOPDOp.V_DUAL_CNDMASK_B32: VOP3Op.V_CNDMASK_B32,
VOPDOp.V_DUAL_MAX_F32: VOP3Op.V_MAX_F32, VOPDOp.V_DUAL_MIN_F32: VOP3Op.V_MIN_F32,
VOPDOp.V_DUAL_ADD_NC_U32: VOP3Op.V_ADD_NC_U32, VOPDOp.V_DUAL_LSHLREV_B32: VOP3Op.V_LSHLREV_B32, VOPDOp.V_DUAL_AND_B32: VOP3Op.V_AND_B32,
VOPDOp.V_DUAL_FMAC_F32: VOP3Op.V_FMAC_F32_E64, VOPDOp.V_DUAL_FMAAK_F32: VOP2Op.V_FMAAK_F32_E32, VOPDOp.V_DUAL_FMAMK_F32: VOP2Op.V_FMAMK_F32_E32,
VOPDOp.V_DUAL_MUL_F32: VOP3Op.V_MUL_F32_E64, VOPDOp.V_DUAL_ADD_F32: VOP3Op.V_ADD_F32_E64, VOPDOp.V_DUAL_SUB_F32: VOP3Op.V_SUB_F32_E64,
VOPDOp.V_DUAL_SUBREV_F32: VOP3Op.V_SUBREV_F32_E64, VOPDOp.V_DUAL_MUL_DX9_ZERO_F32: VOP3Op.V_MUL_DX9_ZERO_F32_E64,
VOPDOp.V_DUAL_MOV_B32: VOP3Op.V_MOV_B32_E64, VOPDOp.V_DUAL_CNDMASK_B32: VOP3Op.V_CNDMASK_B32_E64,
VOPDOp.V_DUAL_MAX_F32: VOP3Op.V_MAX_F32_E64, VOPDOp.V_DUAL_MIN_F32: VOP3Op.V_MIN_F32_E64,
VOPDOp.V_DUAL_ADD_NC_U32: VOP3Op.V_ADD_NC_U32_E64, VOPDOp.V_DUAL_LSHLREV_B32: VOP3Op.V_LSHLREV_B32_E64, VOPDOp.V_DUAL_AND_B32: VOP3Op.V_AND_B32_E64,
}
# Compiled pseudocode functions (lazy loaded)
_COMPILED: dict | None = None
def _get_compiled() -> dict:
global _COMPILED
if _COMPILED is None: _COMPILED = get_compiled_functions()
return _COMPILED
class WaveState:
__slots__ = ('sgpr', 'vgpr', 'scc', 'pc', 'literal', '_pend_sgpr')
def __init__(self):
self.sgpr, self.vgpr = [0] * SGPR_COUNT, [[0] * VGPR_COUNT for _ in range(WAVE_SIZE)]
self.sgpr[EXEC_LO], self.scc, self.pc, self.literal, self._pend_sgpr = 0xffffffff, 0, 0, 0, {}
__slots__ = ('sgpr', 'vgpr', 'scc', 'pc', '_pend_sgpr', 'lds', 'n_lanes')
def __init__(self, lds: LDSMem | None = None, n_lanes: int = WAVE_SIZE):
self.sgpr, self.vgpr = SGPRArray(SGPR_COUNT), [VGPRLane(VGPR_COUNT) for _ in range(WAVE_SIZE)]
self.sgpr[EXEC_LO], self.scc, self.pc, self._pend_sgpr, self.lds, self.n_lanes = 0xffffffff, 0, 0, {}, lds, n_lanes
@property
def vcc(self) -> int: return self.sgpr[VCC_LO] | (self.sgpr[VCC_HI] << 32)
@@ -91,26 +182,35 @@ class WaveState:
@exec_mask.setter
def exec_mask(self, v: int): self.sgpr[EXEC_LO], self.sgpr[EXEC_HI] = v & MASK32, (v >> 32) & MASK32
def rsgpr(self, i: int) -> int: return 0 if i == NULL else self.scc if i == SCC else self.sgpr[i] if i < SGPR_COUNT else 0
def wsgpr(self, i: int, v: int):
if i < SGPR_COUNT and i != NULL: self.sgpr[i] = v & MASK32
def rsgpr64(self, i: int) -> int: return self.rsgpr(i) | (self.rsgpr(i+1) << 32)
def wsgpr64(self, i: int, v: int): self.wsgpr(i, v & MASK32); self.wsgpr(i+1, (v >> 32) & MASK32)
def rsgpr(self, reg) -> int:
if reg == NULL: return 0
if reg == SCC: return self.scc
return self.sgpr[reg]
def wsgpr(self, reg, v: int):
if reg != NULL: self.sgpr[reg] = v & MASK32
def rsgpr64(self, reg) -> int:
off = reg.offset
return self.sgpr._data[off] | (self.sgpr._data[off + 1] << 32)
def wsgpr64(self, reg, v: int):
off = reg.offset
self.sgpr._data[off] = v & MASK32; self.sgpr._data[off + 1] = (v >> 32) & MASK32
def _rsrc_base(self, v: int, lane: int, consts):
if v < SGPR_COUNT: return self.sgpr[v]
if v == SCC: return self.scc
if v < 255: return consts[v - 128]
if v == 255: return self.literal
return self.vgpr[lane][v - 256] if v <= 511 else 0
def rsrc(self, v: int, lane: int) -> int: return self._rsrc_base(v, lane, _INLINE_CONSTS)
def rsrc_f16(self, v: int, lane: int) -> int: return self._rsrc_base(v, lane, _INLINE_CONSTS_F16)
def rsrc64(self, v: int, lane: int) -> int:
if 128 <= v < 255: return _INLINE_CONSTS_F64[v - 128]
if v == 255: return self.literal # literal is already shifted in from_bytes for 64-bit ops
return self.rsrc(v, lane) | ((self.rsrc(v+1, lane) if v < VCC_LO or 256 <= v <= 511 else 0) << 32)
def _rsrc_base(self, reg, lane: int, consts, literal: int):
off = reg.offset
if off < SGPR_COUNT: return self.sgpr._data[off]
if off == SCC.offset: return self.scc
if off < 255: return consts[off - 128]
if off == 255: return literal
return self.vgpr[lane]._data[off - 256] if off <= 511 else 0
def rsrc(self, reg, lane: int, literal: int = 0) -> int: return self._rsrc_base(reg, lane, _INLINE_CONSTS, literal)
def rsrc_f16(self, reg, lane: int, literal: int = 0) -> int: return self._rsrc_base(reg, lane, _INLINE_CONSTS_F16, literal)
def rsrc64(self, reg, lane: int, literal: int = 0) -> int:
off = reg.offset
if 128 <= off < 255: return _INLINE_CONSTS_F64[off - 128]
if off == 255: return literal << 32 # 32-bit literal forms upper 32 bits of 64-bit value
return self.rsrc(reg, lane, literal) | ((self.rsrc(reg + 1, lane, literal) if off < VCC_LO.offset or 256 <= off <= 511 else 0) << 32)
def pend_sgpr_lane(self, reg: int, lane: int, val: int):
def pend_sgpr_lane(self, reg, lane: int, val: int):
if reg not in self._pend_sgpr: self._pend_sgpr[reg] = 0
if val: self._pend_sgpr[reg] |= (1 << lane)
def commit_pends(self):
@@ -118,283 +218,139 @@ class WaveState:
self._pend_sgpr.clear()
def decode_program(data: bytes) -> Program:
result: Program = {}
i = 0
while i < len(data):
try: inst_class = detect_format(data[i:])
except ValueError: break # stop at invalid instruction (padding/metadata after code)
if inst_class is None: i += 4; continue
base_size = inst_class._size()
# Pass enough data for potential 64-bit literal (base + 8 bytes max)
inst = inst_class.from_bytes(data[i:i+base_size+8])
for name, val in inst._values.items():
if name != 'op': setattr(inst, name, unwrap(val)) # skip op to preserve property access
inst._words = inst.size() // 4
result[i // 4] = inst
i += inst._words * 4
return result
# ═══════════════════════════════════════════════════════════════════════════════
# EXECUTION - All ALU ops use pseudocode from PDF
# EXECUTION - All ops use pseudocode from PDF
# ═══════════════════════════════════════════════════════════════════════════════
def exec_scalar(st: WaveState, inst: Inst) -> int:
"""Execute scalar instruction. Returns PC delta or negative for special cases."""
compiled = _get_compiled()
# SOPP: special cases for control flow that has no pseudocode
if isinstance(inst, SOPP):
if inst.op == SOPPOp.S_ENDPGM: return -1
if inst.op == SOPPOp.S_BARRIER: return -2
# SMEM: memory loads (not ALU)
if isinstance(inst, SMEM):
addr = st.rsgpr64(inst.sbase * 2) + _sext(inst.offset, 21)
if inst.soffset not in (NULL, 0x7f): addr += st.rsrc(inst.soffset, 0)
if (cnt := SMEM_LOAD.get(inst.op)) is None: raise NotImplementedError(f"SMEM op {inst.op}")
for i in range(cnt): st.wsgpr(inst.sdata + i, mem_read((addr + i * 4) & MASK64, 4))
return 0
def exec_scalar(st: WaveState, inst: Inst):
"""Execute scalar instruction. Returns 0 to continue execution."""
# Get op enum and lookup compiled function
if isinstance(inst, SOP1): ssrc0, sdst = inst.ssrc0, inst.sdst
if isinstance(inst, SMEM): ssrc0, sdst = None, None
elif isinstance(inst, SOP1): ssrc0, sdst = inst.ssrc0, inst.sdst
elif isinstance(inst, SOP2): ssrc0, sdst = inst.ssrc0, inst.sdst
elif isinstance(inst, SOPC): ssrc0, sdst = inst.ssrc0, None
elif isinstance(inst, SOPK): ssrc0, sdst = inst.sdst, inst.sdst # sdst is both src and dst
elif isinstance(inst, SOPP): ssrc0, sdst = None, None
else: raise NotImplementedError(f"Unknown scalar type {type(inst)}")
# SOPP has gaps in the opcode enum - treat unknown opcodes as no-ops
try: op = inst.op
except ValueError:
if isinstance(inst, SOPP): return 0
raise
fn = compiled.get(type(op), {}).get(op)
if fn is None:
# SOPP instructions without pseudocode (waits, hints, nops) are no-ops
if isinstance(inst, SOPP): return 0
raise NotImplementedError(f"{op.name} not in pseudocode")
# SMEM: memory loads
if isinstance(inst, SMEM):
addr = st.rsgpr64(inst.sbase) + _sext(inst.offset, 21)
if inst.soffset != NULL: addr += st.rsrc(inst.soffset, 0, inst._literal)
result = inst._fn(GlobalMem, addr & MASK64)
if 'SDATA' in result:
sdata = result['SDATA']
for i in range(SMEM_DST_COUNT.get(inst.op, 1)): st.wsgpr(inst.sdata + i, (sdata >> (i * 32)) & MASK32)
st.pc += inst._words
return 0
# Build context - use inst methods to determine operand sizes
s0 = st.rsrc64(ssrc0, 0) if inst.is_src_64(0) else (st.rsrc(ssrc0, 0) if not isinstance(inst, (SOPK, SOPP)) else (st.rsgpr(inst.sdst) if isinstance(inst, SOPK) else 0))
s1 = st.rsrc64(inst.ssrc1, 0) if inst.is_src_64(1) else (st.rsrc(inst.ssrc1, 0) if isinstance(inst, (SOP2, SOPC)) else inst.simm16 if isinstance(inst, SOPK) else 0)
d0 = st.rsgpr64(sdst) if inst.dst_regs() == 2 and sdst is not None else (st.rsgpr(sdst) if sdst is not None else 0)
literal = inst.simm16 if isinstance(inst, (SOPK, SOPP)) else st.literal
# Build context - use canonical_op_bits to determine operand sizes
literal = inst._literal
s0 = st.rsrc64(ssrc0, 0, literal) if inst.canonical_op_bits['s0'] == 64 else (st.rsrc(ssrc0, 0, literal) if not isinstance(inst, (SOPK, SOPP)) else (st.rsgpr(inst.sdst) if isinstance(inst, SOPK) else 0))
s1 = st.rsrc64(inst.ssrc1, 0, literal) if inst.canonical_op_bits['s1'] == 64 else (st.rsrc(inst.ssrc1, 0, literal) if isinstance(inst, (SOP2, SOPC)) else inst.simm16 if isinstance(inst, SOPK) else 0)
d0 = st.rsgpr64(sdst) if inst.canonical_op_bits['d'] == 64 and sdst is not None else (st.rsgpr(sdst) if sdst is not None else 0)
literal = inst.simm16 if isinstance(inst, (SOPK, SOPP)) else inst._literal
# Create Reg objects for compiled function - mask VCC/EXEC to 32 bits for wave32
result = fn(Reg(s0), Reg(s1), None, Reg(d0), Reg(st.scc), Reg(st.vcc & MASK32), 0, Reg(st.exec_mask & MASK32), literal, None, PC=Reg(st.pc * 4))
# Call compiled function with int parameters
result = inst._fn(s0, s1, 0, d0, st.scc, st.vcc & MASK32, 0, st.exec_mask & MASK32, literal, None, pc=st.pc * 4)
# Apply results - extract values from returned Reg objects
# Apply results (already int values)
if sdst is not None and 'D0' in result:
(st.wsgpr64 if inst.dst_regs() == 2 else st.wsgpr)(sdst, result['D0']._val)
if 'SCC' in result: st.scc = result['SCC']._val & 1
if 'EXEC' in result: st.exec_mask = result['EXEC']._val
(st.wsgpr64 if inst.canonical_op_bits['d'] == 64 else st.wsgpr)(sdst, result['D0'])
if 'SCC' in result: st.scc = result['SCC'] & 1
if 'EXEC' in result: st.exec_mask = result['EXEC']
if 'PC' in result:
# Convert absolute byte address to word delta
pc_val = result['PC']._val
# Convert absolute byte address to word offset
pc_val = result['PC']
new_pc = pc_val if pc_val < 0x8000000000000000 else pc_val - 0x10000000000000000
new_pc_words = new_pc // 4
return new_pc_words - st.pc - 1 # -1 because emulator adds inst_words (1 for scalar)
st.pc = new_pc // 4
else:
st.pc += inst._words
return 0
def exec_vector(st: WaveState, inst: Inst, lane: int, lds: bytearray | None = None) -> None:
"""Execute vector instruction for one lane."""
compiled = _get_compiled()
V = st.vgpr[lane]
# ═══════════════════════════════════════════════════════════════════════════════
# VECTOR INSTRUCTIONS
# ═══════════════════════════════════════════════════════════════════════════════
# Memory ops (not ALU pseudocode)
if isinstance(inst, FLAT):
op, addr_reg, data_reg, vdst, offset, saddr = inst.op, inst.addr, inst.data, inst.vdst, _sext(inst.offset, 13), inst.saddr
addr = V[addr_reg] | (V[addr_reg+1] << 32)
addr = (st.rsgpr64(saddr) + V[addr_reg] + offset) & MASK64 if saddr not in (NULL, 0x7f) else (addr + offset) & MASK64
if op in FLAT_LOAD:
cnt, sz, sign = FLAT_LOAD[op]
for i in range(cnt): val = mem_read(addr + i * sz, sz); V[vdst + i] = _sext(val, sz * 8) & MASK32 if sign else val
elif op in FLAT_STORE:
cnt, sz = FLAT_STORE[op]
for i in range(cnt): mem_write(addr + i * sz, sz, V[data_reg + i] & ((1 << (sz * 8)) - 1))
elif op in FLAT_D16_LOAD:
sz, sign, hi = FLAT_D16_LOAD[op]
val = mem_read(addr, sz)
if sign: val = _sext(val, sz * 8) & 0xffff
V[vdst] = _dst16(V[vdst], val, hi)
elif op in FLAT_D16_STORE:
sz, hi = FLAT_D16_STORE[op]
mem_write(addr, sz, _src16(V[data_reg], hi) & ((1 << (sz * 8)) - 1))
else: raise NotImplementedError(f"FLAT op {op}")
return
def exec_vopd(st: WaveState, inst, V: VGPRLane, lane: int) -> None:
"""VOPD: dual-issue, execute two ops simultaneously (read all inputs before writes)."""
literal, vdstx = inst._literal, inst.vdstx
vdsty = v[(inst.vdsty << 1) | ((inst.vdstx.offset & 1) ^ 1)] # vdsty is raw int from VDSTYField.decode
sx0, sx1, dx, sy0, sy1, dy = st.rsrc(inst.srcx0, lane, literal), V[inst.vsrcx1], V[vdstx], st.rsrc(inst.srcy0, lane, literal), V[inst.vsrcy1], V[vdsty]
V[vdstx] = inst._fnx(sx0, sx1, 0, dx, st.scc, st.vcc, lane, st.exec_mask, literal, None)['D0']
V[vdsty] = inst._fny(sy0, sy1, 0, dy, st.scc, st.vcc, lane, st.exec_mask, literal, None)['D0']
if isinstance(inst, DS):
op, addr0, vdst = inst.op, (V[inst.addr] + inst.offset0) & 0xffff, inst.vdst
if op in DS_LOAD:
cnt, sz, sign = DS_LOAD[op]
for i in range(cnt): val = int.from_bytes(lds[addr0+i*sz:addr0+i*sz+sz], 'little'); V[vdst + i] = _sext(val, sz * 8) & MASK32 if sign else val
elif op in DS_STORE:
cnt, sz = DS_STORE[op]
for i in range(cnt): lds[addr0+i*sz:addr0+i*sz+sz] = (V[inst.data0 + i] & ((1 << (sz * 8)) - 1)).to_bytes(sz, 'little')
elif op in DS_LOAD_2ADDR:
# Load two values from addr+offset0*sz and addr+offset1*sz into vdst (B32: 1 dword each, B64: 2 dwords each)
# Note: offsets are scaled by data size (4 for B32, 8 for B64) per AMD ISA
sz = DS_LOAD_2ADDR[op]
addr0 = (V[inst.addr] + inst.offset0 * sz) & 0xffff
addr1 = (V[inst.addr] + inst.offset1 * sz) & 0xffff
cnt = sz // 4 # 1 for B32, 2 for B64
for i in range(cnt): V[vdst + i] = int.from_bytes(lds[addr0+i*4:addr0+i*4+4], 'little')
for i in range(cnt): V[vdst + cnt + i] = int.from_bytes(lds[addr1+i*4:addr1+i*4+4], 'little')
elif op in DS_STORE_2ADDR:
# Store two values from data0 and data1 to addr+offset0*sz and addr+offset1*sz
# Note: offsets are scaled by data size (4 for B32, 8 for B64) per AMD ISA
sz = DS_STORE_2ADDR[op]
addr0 = (V[inst.addr] + inst.offset0 * sz) & 0xffff
addr1 = (V[inst.addr] + inst.offset1 * sz) & 0xffff
cnt = sz // 4
for i in range(cnt): lds[addr0+i*4:addr0+i*4+4] = (V[inst.data0 + i] & MASK32).to_bytes(4, 'little')
for i in range(cnt): lds[addr1+i*4:addr1+i*4+4] = (V[inst.data1 + i] & MASK32).to_bytes(4, 'little')
else: raise NotImplementedError(f"DS op {op}")
return
def exec_flat(st: WaveState, inst, V: VGPRLane, lane: int) -> None:
"""FLAT/GLOBAL/SCRATCH memory ops."""
ndwords = _op_ndwords(inst.op_name)
addr = V[inst.addr] | (V[inst.addr + 1] << 32)
ADDR = (st.rsgpr64(inst.saddr) + V[inst.addr] + _sext(inst.offset, 13)) & MASK64 if inst.saddr != NULL else (addr + _sext(inst.offset, 13)) & MASK64
vdata_src = inst.vdst if 'LOAD' in inst.op_name else inst.data
result = inst._fn(GlobalMem, ADDR, _vgpr_read(V, vdata_src, ndwords), V[inst.vdst])
if 'VDATA' in result: _vgpr_write(V, inst.vdst, result['VDATA'], ndwords)
if 'RETURN_DATA' in result: _vgpr_write(V, inst.vdst, result['RETURN_DATA'], ndwords)
# VOPD: dual-issue, execute two ops simultaneously (read all inputs before writes)
if isinstance(inst, VOPD):
vdsty = (inst.vdsty << 1) | ((inst.vdstx & 1) ^ 1)
inputs = [(inst.opx, st.rsrc(inst.srcx0, lane), V[inst.vsrcx1], V[inst.vdstx], inst.vdstx),
(inst.opy, st.rsrc(inst.srcy0, lane), V[inst.vsrcy1], V[vdsty], vdsty)]
def exec_vopd(vopd_op, s0, s1, d0):
op = _VOPD_TO_VOP[vopd_op]
return compiled[type(op)][op](Reg(s0), Reg(s1), None, Reg(d0), Reg(st.scc), Reg(st.vcc), lane, Reg(st.exec_mask), st.literal, None)['D0']._val
for vopd_op, s0, s1, d0, dst in inputs: V[dst] = exec_vopd(vopd_op, s0, s1, d0)
return
def exec_ds(st: WaveState, inst, V: VGPRLane, lane: int) -> None:
"""DS (LDS) memory ops."""
ndwords = _op_ndwords(inst.op_name)
data0, data1 = _vgpr_read(V, inst.data0, ndwords), _vgpr_read(V, inst.data1, ndwords) if inst.data1 is not None else 0
result = inst._fn(st.lds, V[inst.addr], data0, data1, inst.offset0, inst.offset1)
if 'RETURN_DATA' in result and ('_RTN' in inst.op_name or '_LOAD' in inst.op_name):
_vgpr_write(V, inst.vdst, result['RETURN_DATA'], ndwords * 2 if '_2ADDR_' in inst.op_name else ndwords)
# VOP3SD: has extra scalar dest for carry output
if isinstance(inst, VOP3SD):
fn = compiled[VOP3SDOp][inst.op]
# Read sources based on register counts from inst properties
def rsrc_n(src, regs): return st.rsrc64(src, lane) if regs == 2 else st.rsrc(src, lane)
s0, s1, s2 = rsrc_n(inst.src0, inst.src_regs(0)), rsrc_n(inst.src1, inst.src_regs(1)), rsrc_n(inst.src2, inst.src_regs(2))
# Carry-in ops use src2 as carry bitmask instead of VCC
vcc = st.rsgpr64(inst.src2) if 'CO_CI' in inst.op_name else st.vcc
result = fn(Reg(s0), Reg(s1), Reg(s2), Reg(V[inst.vdst]), Reg(st.scc), Reg(vcc), lane, Reg(st.exec_mask), st.literal, None)
d0_val = result['D0']._val
V[inst.vdst] = d0_val & MASK32
if inst.dst_regs() == 2: V[inst.vdst + 1] = (d0_val >> 32) & MASK32
if 'VCC' in result: st.pend_sgpr_lane(inst.sdst, lane, (result['VCC']._val >> lane) & 1)
return
# Get op enum and sources (None means "no source" for that operand)
# dst_hi: for VOP1/VOP2 16-bit dst ops, bit 7 of vdst indicates .h (high 16-bit) destination
dst_hi = False
if isinstance(inst, VOP1):
if inst.op == VOP1Op.V_NOP: return
src0, src1, src2 = inst.src0, None, None
dst_hi = (inst.vdst & 0x80) != 0 and inst.is_dst_16()
vdst = inst.vdst & 0x7f if inst.is_dst_16() else inst.vdst
def exec_vop(st: WaveState, inst: Inst, V: VGPRLane, lane: int) -> None:
"""VOP1/VOP2/VOP3/VOP3SD/VOP3P/VOPC: standard ALU ops."""
is_dst_16 = inst.canonical_op_bits['d'] == 16
if isinstance(inst, VOP3P):
src0, src1, src2, vdst, dst_hi = inst.src0, inst.src1, inst.src2, inst.vdst, False
neg, abs_, opsel = inst.neg, 0, inst.opsel
elif isinstance(inst, VOP1):
src0, src1, src2, vdst = inst.src0, None, None, inst.vdst
neg, abs_, opsel, dst_hi = 0, 0, 0, (inst.vdst.offset & 0x80) != 0 and is_dst_16
if is_dst_16: vdst = v[inst.vdst.offset & 0x7f]
elif isinstance(inst, VOP2):
src0, src1, src2 = inst.src0, inst.vsrc1 + 256, None
dst_hi = (inst.vdst & 0x80) != 0 and inst.is_dst_16()
vdst = inst.vdst & 0x7f if inst.is_dst_16() else inst.vdst
elif isinstance(inst, VOP3):
# VOP3 ops 0-255 are VOPC comparisons encoded as VOP3 - inst.op returns VOPCOp for these
src0, src1, src2, vdst = inst.src0, inst.src1, (None if inst.op.value < 256 else inst.src2), inst.vdst
src0, src1, src2, vdst = inst.src0, inst.vsrc1, None, inst.vdst
neg, abs_, opsel, dst_hi = 0, 0, 0, (inst.vdst.offset & 0x80) != 0 and is_dst_16
if is_dst_16: vdst = v[inst.vdst.offset & 0x7f]
elif isinstance(inst, (VOP3, VOP3SD)):
src0, src1, src2, vdst = inst.src0, inst.src1, (None if isinstance(inst, VOP3) and inst.op.value < 256 else inst.src2), inst.vdst
neg, abs_, opsel, dst_hi = (inst.neg, inst.abs, inst.opsel, False) if isinstance(inst, VOP3) else (0, 0, 0, False)
elif isinstance(inst, VOPC):
# For 16-bit VOPC, vsrc1 uses same encoding as VOP2 16-bit: bit 7 selects hi(1) or lo(0) half
# vsrc1 field is 8 bits: [6:0] = VGPR index, [7] = hi flag
src0, src1, src2, vdst = inst.src0, inst.vsrc1 + 256, None, VCC_LO
elif isinstance(inst, VOP3P):
# VOP3P: Packed 16-bit operations using compiled functions
# WMMA: wave-level matrix multiply-accumulate (special handling - needs cross-lane access)
if 'WMMA' in inst.op_name:
if lane == 0: # Only execute once per wave, write results for all lanes
exec_wmma(st, inst, inst.op)
return
# V_FMA_MIX: Mixed precision FMA - opsel_hi controls f32(0) vs f16(1), opsel selects which f16 half
if 'FMA_MIX' in inst.op_name:
opsel, opsel_hi, opsel_hi2 = getattr(inst, 'opsel', 0), getattr(inst, 'opsel_hi', 0), getattr(inst, 'opsel_hi2', 0)
neg, abs_ = getattr(inst, 'neg', 0), getattr(inst, 'neg_hi', 0) # neg_hi reused as abs
raws = [st.rsrc(inst.src0, lane), st.rsrc(inst.src1, lane), st.rsrc(inst.src2, lane) if inst.src2 is not None else 0]
is_f16 = [opsel_hi & 1, opsel_hi & 2, opsel_hi2]
srcs = [_f16(_src16(raws[i], bool(opsel & (1<<i)))) if is_f16[i] else _f32(raws[i]) for i in range(3)]
for i in range(3):
if abs_ & (1<<i): srcs[i] = abs(srcs[i])
if neg & (1<<i): srcs[i] = -srcs[i]
result = srcs[0] * srcs[1] + srcs[2]
st.vgpr[lane][inst.vdst] = _i32(result) if inst.op == VOP3POp.V_FMA_MIX_F32 else _dst16(V[inst.vdst], _i16(result), inst.op == VOP3POp.V_FMA_MIXHI_F16)
return
# VOP3P packed ops: opsel selects halves for lo, opsel_hi for hi; neg toggles f16 sign
raws = [st.rsrc_f16(inst.src0, lane), st.rsrc_f16(inst.src1, lane), st.rsrc_f16(inst.src2, lane) if inst.src2 is not None else 0]
opsel, opsel_hi, opsel_hi2 = getattr(inst, 'opsel', 0), getattr(inst, 'opsel_hi', 3), getattr(inst, 'opsel_hi2', 1)
neg, neg_hi = getattr(inst, 'neg', 0), getattr(inst, 'neg_hi', 0)
hi_sels = [opsel_hi & 1, opsel_hi & 2, opsel_hi2]
srcs = [((_src16(raws[i], hi_sels[i]) ^ (0x8000 if neg_hi & (1<<i) else 0)) << 16) |
(_src16(raws[i], opsel & (1<<i)) ^ (0x8000 if neg & (1<<i) else 0)) for i in range(3)]
result = compiled[VOP3POp][inst.op](Reg(srcs[0]), Reg(srcs[1]), Reg(srcs[2]), Reg(0), Reg(st.scc), Reg(st.vcc), lane, Reg(st.exec_mask), st.literal, None)
st.vgpr[lane][inst.vdst] = result['D0']._val & MASK32
return
else: raise NotImplementedError(f"Unknown vector type {type(inst)}")
src0, src1, src2, vdst, neg, abs_, opsel, dst_hi = inst.src0, inst.vsrc1, None, VCC_LO, 0, 0, 0, False
else:
raise NotImplementedError(f"exec_vop: unhandled instruction type {type(inst).__name__}")
op_cls = type(inst.op)
if (fn := compiled.get(op_cls, {}).get(inst.op)) is None: raise NotImplementedError(f"{inst.op_name} not in pseudocode")
s0 = _read_src(st, inst, src0, 0, lane, neg, abs_, opsel)
s1 = _read_src(st, inst, src1, 1, lane, neg, abs_, opsel)
s2 = _read_src(st, inst, src2, 2, lane, neg, abs_, opsel)
if isinstance(inst, VOP2) and is_dst_16: d0 = _src16(V[vdst], dst_hi)
elif inst.canonical_op_bits['d'] == 64: d0 = V[vdst] | (V[vdst + 1] << 32)
else: d0 = V[vdst]
# Read sources (with VOP3 modifiers if applicable)
neg, abs_ = (getattr(inst, 'neg', 0), getattr(inst, 'abs', 0)) if isinstance(inst, VOP3) else (0, 0)
opsel = getattr(inst, 'opsel', 0) if isinstance(inst, VOP3) else 0
def mod_src(val: int, idx: int, is64=False) -> int:
to_f, to_i = (_f64, _i64) if is64 else (_f32, _i32)
if (abs_ >> idx) & 1: val = to_i(abs(to_f(val)))
if (neg >> idx) & 1: val = to_i(-to_f(val))
return val
if isinstance(inst, VOP3SD) and 'CO_CI' in inst.op_name: vcc_for_fn = st.rsgpr64(inst.src2)
elif isinstance(inst, VOP3) and inst.op in (VOP3Op.V_CNDMASK_B32_E64, VOP3Op.V_CNDMASK_B16) and src2 is not None and src2.offset < 256: vcc_for_fn = st.rsgpr64(src2)
else: vcc_for_fn = st.vcc
src0_off = src0.offset if src0 is not None else 0
src0_idx = (src0_off - 256) if src0_off >= 256 else src0_off
vdst_off = vdst.offset
extra_kwargs = {'opsel': opsel, 'opsel_hi': inst.opsel_hi | (inst.opsel_hi2 << 2)} if isinstance(inst, VOP3P) and 'FMA_MIX' in inst.op_name else {}
result = inst._fn(s0, s1, s2, d0, st.scc, vcc_for_fn, lane, st.exec_mask, inst._literal, st.vgpr, src0_idx, vdst_off, **extra_kwargs)
# Use inst methods to determine operand sizes (inst.is_src_16, inst.is_src_64, etc.)
is_vop2_16bit = isinstance(inst, VOP2) and inst.is_16bit()
# Read sources based on register counts and dtypes from inst properties
def read_src(src, idx, regs, is_src_16):
if src is None: return 0
if regs == 2: return mod_src(st.rsrc64(src, lane), idx, is64=True)
if is_src_16 and isinstance(inst, VOP3):
raw = st.rsrc_f16(src, lane) if 128 <= src < 255 else st.rsrc(src, lane)
val = _src16(raw, bool(opsel & (1 << idx)))
if abs_ & (1 << idx): val &= 0x7fff
if neg & (1 << idx): val ^= 0x8000
return val
if is_src_16 and isinstance(inst, (VOP1, VOP2, VOPC)):
if src >= 256: return _src16(mod_src(st.rsrc(_vgpr_masked(src), lane), idx), _vgpr_hi(src))
return mod_src(st.rsrc_f16(src, lane), idx) & 0xffff
return mod_src(st.rsrc(src, lane), idx)
s0 = read_src(src0, 0, inst.src_regs(0), inst.is_src_16(0))
s1 = read_src(src1, 1, inst.src_regs(1), inst.is_src_16(1)) if src1 is not None else 0
s2 = read_src(src2, 2, inst.src_regs(2), inst.is_src_16(2)) if src2 is not None else 0
# Read destination (accumulator for VOP2 f16, 64-bit for 64-bit ops)
d0 = _src16(V[vdst], dst_hi) if is_vop2_16bit else (V[vdst] | (V[vdst + 1] << 32)) if inst.dst_regs() == 2 else V[vdst]
# V_CNDMASK_B32/B16: VOP3 encoding uses src2 as mask (not VCC); VOP2 uses VCC implicitly
# Pass the correct mask as vcc to the function so pseudocode VCC.u64[laneId] works correctly
vcc_for_fn = st.rsgpr64(src2) if inst.op in (VOP3Op.V_CNDMASK_B32, VOP3Op.V_CNDMASK_B16) and isinstance(inst, VOP3) and src2 is not None and src2 < 256 else st.vcc
# Execute compiled function - pass src0_idx and vdst_idx for lane instructions
# For VGPR access: src0 index is the VGPR number (src0 - 256 if VGPR, else src0 for SGPR)
src0_idx = (src0 - 256) if src0 is not None and src0 >= 256 else (src0 if src0 is not None else 0)
result = fn(Reg(s0), Reg(s1), Reg(s2), Reg(d0), Reg(st.scc), Reg(vcc_for_fn), lane, Reg(st.exec_mask), st.literal, st.vgpr, src0_idx, vdst)
# Apply results - extract values from returned Reg objects
if 'vgpr_write' in result:
# Lane instruction wrote to VGPR: (lane, vgpr_idx, value)
wr_lane, wr_idx, wr_val = result['vgpr_write']
st.vgpr[wr_lane][wr_idx] = wr_val
# Check if this is a VOPC instruction (either standalone VOPC or VOP3 with VOPC opcode)
is_vopc = isinstance(inst.op, VOPCOp) or (isinstance(inst, VOP3) and inst.op.value < 256)
if 'VCC' in result:
# VOP2 carry ops write to VCC implicitly; VOPC/VOP3 write to vdst
st.pend_sgpr_lane(VCC_LO if isinstance(inst, VOP2) and 'CO_CI' in inst.op_name else vdst, lane, (result['VCC']._val >> lane) & 1)
if isinstance(inst, VOP3SD): st.pend_sgpr_lane(inst.sdst, lane, (result['VCC'] >> lane) & 1)
elif isinstance(inst, VOP2) and 'CO_CI' in inst.op_name: st.pend_sgpr_lane(VCC_LO, lane, (result['VCC'] >> lane) & 1)
elif is_vopc: st.pend_sgpr_lane(vdst, lane, (result['VCC'] >> lane) & 1) # vdst is VCC_LO for VOPC
else: st.pend_sgpr_lane(VCC_LO, lane, (result['VCC'] >> lane) & 1)
if 'EXEC' in result:
# V_CMPX instructions write to EXEC per-lane (not to vdst)
st.pend_sgpr_lane(EXEC_LO, lane, (result['EXEC']._val >> lane) & 1)
elif op_cls is VOPCOp:
# VOPC comparison result stored in D0 bitmask, extract lane bit (non-CMPX only)
st.pend_sgpr_lane(vdst, lane, (result['D0']._val >> lane) & 1)
if op_cls is not VOPCOp and 'vgpr_write' not in result:
writes_to_sgpr = 'READFIRSTLANE' in inst.op_name or 'READLANE' in inst.op_name
d0_val = result['D0']._val
if writes_to_sgpr: st.wsgpr(vdst, d0_val & MASK32)
elif inst.dst_regs() == 2: V[vdst], V[vdst + 1] = d0_val & MASK32, (d0_val >> 32) & MASK32
elif inst.is_dst_16(): V[vdst] = _dst16(V[vdst], d0_val, bool(opsel & 8) if isinstance(inst, VOP3) else dst_hi)
st.pend_sgpr_lane(EXEC_LO, lane, (result['EXEC'] >> lane) & 1)
elif is_vopc:
st.pend_sgpr_lane(vdst, lane, (result['D0'] >> lane) & 1)
if not is_vopc:
d0_val = result['D0']
if inst.canonical_op_bits['d'] == 64: V[vdst], V[vdst + 1] = d0_val & MASK32, (d0_val >> 32) & MASK32
elif not isinstance(inst, VOP3P) and is_dst_16: V[vdst] = _dst16(V[vdst], d0_val, bool(opsel & 8) if isinstance(inst, VOP3) else dst_hi)
else: V[vdst] = d0_val & MASK32
# ═══════════════════════════════════════════════════════════════════════════════
@@ -403,7 +359,7 @@ def exec_vector(st: WaveState, inst: Inst, lane: int, lds: bytearray | None = No
def exec_wmma(st: WaveState, inst, op: VOP3POp) -> None:
"""Execute WMMA instruction - 16x16x16 matrix multiply across the wave."""
src0, src1, src2, vdst = inst.src0, inst.src1, inst.src2, inst.vdst
src0, src1, src2, vdst = inst.src0.offset, inst.src1.offset, inst.src2.offset, inst.vdst.offset
# Read 16x16 f16 matrix from 16 lanes × 8 VGPRs (2 f16 per VGPR)
def read_f16_mat(src):
return [f for l in range(16) for r in range(8) for v in [st.vgpr[l][src-256+r] if src >= 256 else st.rsgpr(src+r)] for f in [_f16(v&0xffff), _f16((v>>16)&0xffff)]]
@@ -415,68 +371,109 @@ def exec_wmma(st: WaveState, inst, op: VOP3POp) -> None:
# Write result - f16 packed or f32
if op == VOP3POp.V_WMMA_F16_16X16X16_F16:
for i in range(0, 256, 2):
st.vgpr[(i//2) % 32][vdst + (i//2)//32] = ((_i16(mat_d[i+1]) & 0xffff) << 16) | (_i16(mat_d[i]) & 0xffff)
st.vgpr[(i//2) % 32][vdst - 256 + (i//2)//32] = ((_i16(mat_d[i+1]) & 0xffff) << 16) | (_i16(mat_d[i]) & 0xffff)
else:
for i in range(256): st.vgpr[i % 32][vdst + i//32] = _i32(mat_d[i])
for i in range(256): st.vgpr[i % 32][vdst - 256 + i//32] = _i32(mat_d[i])
# ═══════════════════════════════════════════════════════════════════════════════
# PROGRAM DECODE
# ═══════════════════════════════════════════════════════════════════════════════
# Wave-level dispatch functions: (st, inst) -> return_code (0 = continue, -1 = end, -2 = barrier)
def dispatch_endpgm(st, inst): return -1
def dispatch_barrier(st, inst): st.pc += inst._words; return -2
def dispatch_nop(st, inst): st.pc += inst._words; return 0
def dispatch_wmma(st, inst): exec_wmma(st, inst, inst.op); st.pc += inst._words; return 0
def dispatch_writelane(st, inst): st.vgpr[st.rsrc(inst.src1, 0, inst._literal) & 0x1f][inst.vdst.offset - 256] = st.rsrc(inst.src0, 0, inst._literal) & MASK32; st.pc += inst._words; return 0
def dispatch_readlane(st, inst):
src0_off = inst.src0.offset
src0_idx = (src0_off - 256) if src0_off >= 256 else src0_off
s1 = st.rsrc(inst.src1, 0, inst._literal) if getattr(inst, 'src1', None) is not None else 0
result = inst._fn(0, s1, 0, 0, st.scc, st.vcc, 0, st.exec_mask, inst._literal, st.vgpr, src0_idx, inst.vdst.offset)
st.wsgpr(inst.vdst.offset, result['D0'])
st.pc += inst._words; return 0
# Per-lane dispatch wrapper: wraps per-lane exec functions into wave-level dispatch
@functools.cache
def dispatch_lane(exec_fn):
def dispatch(st, inst):
exec_mask, vgpr, n_lanes = st.exec_mask, st.vgpr, st.n_lanes
for lane in range(n_lanes):
if exec_mask >> lane & 1: exec_fn(st, inst, vgpr[lane], lane)
st.commit_pends()
st.pc += inst._words
return 0
return dispatch
def decode_program(data: bytes) -> dict[int, Inst]:
result: dict[int, Inst] = {}
i = 0
while i < len(data):
inst = decode_inst(data[i:])
inst._words = inst.size() // 4
# Determine dispatch function and pcode function
if isinstance(inst, SOPP) and inst.op == SOPPOp.S_CODE_END: break
elif isinstance(inst, SOPP) and inst.op == SOPPOp.S_ENDPGM: inst._dispatch = dispatch_endpgm
elif isinstance(inst, SOPP) and inst.op == SOPPOp.S_BARRIER: inst._dispatch = dispatch_barrier
elif isinstance(inst, SOPP) and inst.op in (SOPPOp.S_CLAUSE, SOPPOp.S_WAITCNT, SOPPOp.S_WAITCNT_DEPCTR, SOPPOp.S_SENDMSG, SOPPOp.S_SET_INST_PREFETCH_DISTANCE, SOPPOp.S_DELAY_ALU): inst._dispatch = dispatch_nop
elif isinstance(inst, (SOP1, SOP2, SOPC, SOPK, SOPP, SMEM)): inst._dispatch = exec_scalar
elif isinstance(inst, VOP1) and inst.op == VOP1Op.V_NOP_E32: inst._dispatch = dispatch_nop
elif isinstance(inst, VOP3P) and 'WMMA' in inst.op_name: inst._dispatch = dispatch_wmma
elif isinstance(inst, VOP3) and inst.op == VOP3Op.V_WRITELANE_B32: inst._dispatch = dispatch_writelane
elif isinstance(inst, (VOP1, VOP3)) and inst.op in (VOP1Op.V_READFIRSTLANE_B32_E32, VOP3Op.V_READFIRSTLANE_B32, VOP3Op.V_READLANE_B32): inst._dispatch = dispatch_readlane
elif isinstance(inst, VOPD): inst._dispatch = dispatch_lane(exec_vopd)
elif isinstance(inst, FLAT): inst._dispatch = dispatch_lane(exec_flat)
elif isinstance(inst, DS): inst._dispatch = dispatch_lane(exec_ds)
else: inst._dispatch = dispatch_lane(exec_vop)
# Compile pcode for instructions that use it (not VOPD which has _fnx/_fny, not special dispatches)
# VOPD needs separate functions for X and Y ops
if isinstance(inst, VOPD):
def _compile_vopd_op(op): return compile_pseudocode(type(op).__name__, op.name, PCODE[op])
inst._fnx, inst._fny = _compile_vopd_op(_VOPD_TO_VOP[inst.opx]), _compile_vopd_op(_VOPD_TO_VOP[inst.opy])
elif inst._dispatch not in (dispatch_endpgm, dispatch_barrier, dispatch_nop, dispatch_wmma, dispatch_writelane):
assert type(inst.op) != int, f"inst op of {inst} is int"
inst._fn = compile_pseudocode(type(inst.op).__name__, inst.op.name, PCODE[inst.op])
result[i // 4] = inst
i += inst._words * 4
return result
# ═══════════════════════════════════════════════════════════════════════════════
# MAIN EXECUTION LOOP
# ═══════════════════════════════════════════════════════════════════════════════
def step_wave(program: Program, st: WaveState, lds: bytearray, n_lanes: int) -> int:
inst = program.get(st.pc)
if inst is None: return 1
inst_words, st.literal = inst._words, getattr(inst, '_literal', None) or 0
def exec_wave(program: dict[int, Inst], st: WaveState) -> int:
while (inst := program.get(st.pc)) and (result := inst._dispatch(st, inst)) == 0: pass
return result
if isinstance(inst, (SOP1, SOP2, SOPC, SOPK, SOPP, SMEM)):
delta = exec_scalar(st, inst)
if delta == -1: return -1 # endpgm
if delta == -2: st.pc += inst_words; return -2 # barrier
st.pc += inst_words + delta
else:
# V_READFIRSTLANE/V_READLANE write to SGPR, execute once; others execute per-lane with exec_mask
is_readlane = isinstance(inst, (VOP1, VOP3)) and ('READFIRSTLANE' in inst.op_name or 'READLANE' in inst.op_name)
exec_mask = 1 if is_readlane else st.exec_mask
for lane in range(1 if is_readlane else n_lanes):
if exec_mask & (1 << lane): exec_vector(st, inst, lane, lds)
st.commit_pends()
st.pc += inst_words
return 0
def exec_wave(program: Program, st: WaveState, lds: bytearray, n_lanes: int) -> int:
while st.pc in program:
result = step_wave(program, st, lds, n_lanes)
if result == -1: return 0
if result == -2: return -2
return 0
def exec_workgroup(program: Program, workgroup_id: tuple[int, int, int], local_size: tuple[int, int, int], args_ptr: int,
wg_id_sgpr_base: int, wg_id_enables: tuple[bool, bool, bool]) -> None:
def exec_workgroup(program: dict[int, Inst], workgroup_id: tuple[int, int, int], local_size: tuple[int, int, int], args_ptr: int, rsrc2: int) -> None:
lx, ly, lz = local_size
total_threads, lds = lx * ly * lz, bytearray(65536)
waves: list[tuple[WaveState, int, int]] = []
total_threads = lx * ly * lz
# GRANULATED_LDS_SIZE is in 512-byte units (see ops_amd.py: lds_size = ((group_segment_size + 511) // 512))
lds_size = ((rsrc2 & hsa.AMD_COMPUTE_PGM_RSRC_TWO_GRANULATED_LDS_SIZE) >> hsa.AMD_COMPUTE_PGM_RSRC_TWO_GRANULATED_LDS_SIZE_SHIFT) * 512
lds = LDSMem(bytearray(lds_size)) if lds_size else None
waves: list[WaveState] = []
for wave_start in range(0, total_threads, WAVE_SIZE):
n_lanes, st = min(WAVE_SIZE, total_threads - wave_start), WaveState()
n_lanes = min(WAVE_SIZE, total_threads - wave_start)
st = WaveState(lds, n_lanes)
st.exec_mask = (1 << n_lanes) - 1
st.wsgpr64(0, args_ptr)
# Set workgroup IDs in SGPRs based on USER_SGPR_COUNT and enable flags from COMPUTE_PGM_RSRC2
sgpr_idx = wg_id_sgpr_base
for wg_id, enabled in zip(workgroup_id, wg_id_enables):
if enabled: st.sgpr[sgpr_idx] = wg_id; sgpr_idx += 1
# Set workitem IDs in VGPR0 using packed method: v0 = (Z << 20) | (Y << 10) | X
for i in range(n_lanes):
tid = wave_start + i
st.vgpr[i][0] = ((tid // (lx * ly)) << 20) | (((tid // lx) % ly) << 10) | (tid % lx)
waves.append((st, n_lanes, wave_start))
has_barrier = any(isinstance(inst, SOPP) and inst.op == SOPPOp.S_BARRIER for inst in program.values())
for _ in range(2 if has_barrier else 1):
for st, n_lanes, _ in waves: exec_wave(program, st, lds, n_lanes)
st.wsgpr64(s[0:1], args_ptr) # s[0:1] = kernel arguments pointer
# COMPUTE_PGM_RSRC2: USER_SGPR_COUNT is where workgroup IDs start, ENABLE_SGPR_WORKGROUP_ID_X/Y/Z control which are passed
sgpr_idx = (rsrc2 & hsa.AMD_COMPUTE_PGM_RSRC_TWO_USER_SGPR_COUNT) >> hsa.AMD_COMPUTE_PGM_RSRC_TWO_USER_SGPR_COUNT_SHIFT
if rsrc2 & hsa.AMD_COMPUTE_PGM_RSRC_TWO_ENABLE_SGPR_WORKGROUP_ID_X: st.sgpr[sgpr_idx] = workgroup_id[0]; sgpr_idx += 1
if rsrc2 & hsa.AMD_COMPUTE_PGM_RSRC_TWO_ENABLE_SGPR_WORKGROUP_ID_Y: st.sgpr[sgpr_idx] = workgroup_id[1]; sgpr_idx += 1
if rsrc2 & hsa.AMD_COMPUTE_PGM_RSRC_TWO_ENABLE_SGPR_WORKGROUP_ID_Z: st.sgpr[sgpr_idx] = workgroup_id[2]
# VGPR0 = packed workitem IDs: (Z << 20) | (Y << 10) | X
for tid in range(wave_start, wave_start + n_lanes):
st.vgpr[tid - wave_start][0] = ((tid // (lx * ly)) << 20) | (((tid // lx) % ly) << 10) | (tid % lx)
waves.append(st)
while waves:
waves = [st for st in waves if exec_wave(program, st) != -1]
def run_asm(lib: int, lib_sz: int, gx: int, gy: int, gz: int, lx: int, ly: int, lz: int, args_ptr: int, rsrc2: int = 0x19c) -> int:
program = decode_program((ctypes.c_char * lib_sz).from_address(lib).raw)
if not program: return -1
wg_id_enables = tuple(bool((rsrc2 >> (7+i)) & 1) for i in range(3))
for gidz in range(gz):
for gidy in range(gy):
for gidx in range(gx): exec_workgroup(program, (gidx, gidy, gidz), (lx, ly, lz), args_ptr, (rsrc2 >> 1) & 0x1f, wg_id_enables)
for gidx in range(gx): exec_workgroup(program, (gidx, gidy, gidz), (lx, ly, lz), args_ptr, rsrc2)
return 0
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# Generate AMD ISA autogen files from PDF documentation
# Combines format/enum generation (previously in dsl.py) and pseudocode compilation (previously in pcode.py)
# Usage: python -m extra.assembly.amd.pdf [--arch rdna3|rdna4|cdna|all]
import re, functools
from pathlib import Path
from concurrent.futures import ProcessPoolExecutor
PDF_URLS = {
"rdna3": "https://docs.amd.com/api/khub/documents/UVVZM22UN7tMUeiW_4ShTQ/content",
"rdna4": "https://docs.amd.com/api/khub/documents/uQpkEvk3pv~kfAb2x~j4uw/content",
"cdna": ["https://www.amd.com/content/dam/amd/en/documents/instinct-tech-docs/instruction-set-architectures/amd-instinct-mi300-cdna3-instruction-set-architecture.pdf",
"https://www.amd.com/content/dam/amd/en/documents/instinct-tech-docs/instruction-set-architectures/amd-instinct-cdna4-instruction-set-architecture.pdf"],
}
# Field type mappings and ordering
FIELD_TYPES = {'SSRC0': 'SSrc', 'SSRC1': 'SSrc', 'SOFFSET': 'SSrc', 'SADDR': 'SSrc', 'SRC0': 'Src', 'SRC1': 'Src', 'SRC2': 'Src',
'SDST': 'SGPRField', 'SBASE': 'SGPRField', 'SDATA': 'SGPRField', 'SRSRC': 'SGPRField', 'VDST': 'VGPRField', 'VSRC1': 'VGPRField',
'VDATA': 'VGPRField', 'VADDR': 'VGPRField', 'ADDR': 'VGPRField', 'DATA': 'VGPRField', 'DATA0': 'VGPRField', 'DATA1': 'VGPRField',
'SIMM16': 'SImm', 'OFFSET': 'Imm', 'OPX': 'VOPDOp', 'OPY': 'VOPDOp', 'SRCX0': 'Src', 'SRCY0': 'Src',
'VSRCX1': 'VGPRField', 'VSRCY1': 'VGPRField', 'VDSTX': 'VGPRField', 'VDSTY': 'VDSTYEnc'}
FIELD_ORDER = {
'SOP2': ['op', 'sdst', 'ssrc0', 'ssrc1'], 'SOP1': ['op', 'sdst', 'ssrc0'], 'SOPC': ['op', 'ssrc0', 'ssrc1'],
'SOPK': ['op', 'sdst', 'simm16'], 'SOPP': ['op', 'simm16'], 'VOP1': ['op', 'vdst', 'src0'], 'VOPC': ['op', 'src0', 'vsrc1'],
'VOP2': ['op', 'vdst', 'src0', 'vsrc1'], 'VOP3SD': ['op', 'vdst', 'sdst', 'src0', 'src1', 'src2', 'clmp'],
'SMEM': ['op', 'sdata', 'sbase', 'soffset', 'offset', 'glc', 'dlc'], 'DS': ['op', 'vdst', 'addr', 'data0', 'data1'],
'VOP3': ['op', 'vdst', 'src0', 'src1', 'src2', 'omod', 'neg', 'abs', 'clmp', 'opsel'],
'VOP3P': ['op', 'vdst', 'src0', 'src1', 'src2', 'neg', 'neg_hi', 'opsel', 'opsel_hi', 'clmp'],
'FLAT': ['op', 'vdst', 'addr', 'data', 'saddr', 'offset', 'seg', 'dlc', 'glc', 'slc'],
'MUBUF': ['op', 'vdata', 'vaddr', 'srsrc', 'soffset', 'offset', 'offen', 'idxen', 'glc', 'dlc', 'slc', 'tfe'],
'MTBUF': ['op', 'vdata', 'vaddr', 'srsrc', 'soffset', 'offset', 'format', 'offen', 'idxen', 'glc', 'dlc', 'slc', 'tfe'],
'MIMG': ['op', 'vdata', 'vaddr', 'srsrc', 'ssamp', 'dmask', 'dim', 'unrm', 'dlc', 'glc', 'slc'],
'EXP': ['en', 'target', 'vsrc0', 'vsrc1', 'vsrc2', 'vsrc3', 'done', 'row'],
'VINTERP': ['op', 'vdst', 'src0', 'src1', 'src2', 'waitexp', 'clmp', 'opsel', 'neg'],
'VOPD': ['opx', 'opy', 'vdstx', 'vdsty', 'srcx0', 'vsrcx1', 'srcy0', 'vsrcy1'],
'LDSDIR': ['op', 'vdst', 'attr', 'attr_chan', 'wait_va']}
SRC_EXTRAS = {233: 'DPP8', 234: 'DPP8FI', 250: 'DPP16', 251: 'VCCZ', 252: 'EXECZ', 254: 'LDS_DIRECT'}
FLOAT_MAP = {'0.5': 'POS_HALF', '-0.5': 'NEG_HALF', '1.0': 'POS_ONE', '-1.0': 'NEG_ONE', '2.0': 'POS_TWO', '-2.0': 'NEG_TWO',
'4.0': 'POS_FOUR', '-4.0': 'NEG_FOUR', '1/(2*PI)': 'INV_2PI', '0': 'ZERO'}
INST_PATTERN = re.compile(r'^([SV]_[A-Z0-9_]+)\s+(\d+)\s*$', re.M)
# Patterns that can't be handled by the DSL (require special handling in emu.py)
UNSUPPORTED = ['SGPR[', 'V_SWAP', 'eval ', 'FATAL_HALT', 'HW_REGISTERS',
'vscnt', 'vmcnt', 'expcnt', 'lgkmcnt',
'CVT_OFF_TABLE', 'ThreadMask',
'S1[i', 'C.i32', 'S[i]', 'in[',
'if n.', 'DST.u32', 'addrd = DST', 'addr = DST',
'BARRIER_STATE', 'ReallocVgprs',
'GPR_IDX', 'VSKIP', 'specified in', 'TTBL',
'fp6', 'bf6'] # Malformed pseudocode from PDF
# ═══════════════════════════════════════════════════════════════════════════════
# COMPILER: pseudocode -> Python (minimal transforms)
# ═══════════════════════════════════════════════════════════════════════════════
def compile_pseudocode(pseudocode: str) -> str:
"""Compile pseudocode to Python. Transforms are minimal - most syntax just works."""
pseudocode = re.sub(r'\bpass\b', 'pass_', pseudocode) # 'pass' is Python keyword
raw_lines = pseudocode.strip().split('\n')
joined_lines: list[str] = []
for line in raw_lines:
line = line.strip()
if joined_lines and (joined_lines[-1].rstrip().endswith(('||', '&&', '(', ',')) or
(joined_lines[-1].count('(') > joined_lines[-1].count(')'))):
joined_lines[-1] = joined_lines[-1].rstrip() + ' ' + line
else:
joined_lines.append(line)
lines = []
indent, need_pass, in_first_match_loop = 0, False, False
for line in joined_lines:
line = line.strip()
if not line or line.startswith('//'): continue
if line.startswith('if '):
lines.append(' ' * indent + f"if {_expr(line[3:].rstrip(' then'))}:")
indent += 1
need_pass = True
elif line.startswith('elsif '):
if need_pass: lines.append(' ' * indent + "pass")
indent -= 1
lines.append(' ' * indent + f"elif {_expr(line[6:].rstrip(' then'))}:")
indent += 1
need_pass = True
elif line == 'else':
if need_pass: lines.append(' ' * indent + "pass")
indent -= 1
lines.append(' ' * indent + "else:")
indent += 1
need_pass = True
elif line.startswith('endif'):
if need_pass: lines.append(' ' * indent + "pass")
indent -= 1
need_pass = False
elif line.startswith('endfor'):
if need_pass: lines.append(' ' * indent + "pass")
indent -= 1
need_pass, in_first_match_loop = False, False
elif line.startswith('declare '):
pass
elif m := re.match(r'for (\w+) in (.+?)\s*:\s*(.+?) do', line):
start, end = _expr(m[2].strip()), _expr(m[3].strip())
lines.append(' ' * indent + f"for {m[1]} in range({start}, int({end})+1):")
indent += 1
need_pass, in_first_match_loop = True, True
elif '=' in line and not line.startswith('=='):
need_pass = False
line = line.rstrip(';')
if m := re.match(r'\{\s*D1\.[ui]1\s*,\s*D0\.[ui]64\s*\}\s*=\s*(.+)', line):
rhs = _expr(m[1])
lines.append(' ' * indent + f"_full = {rhs}")
lines.append(' ' * indent + f"D0.u64 = int(_full) & 0xffffffffffffffff")
lines.append(' ' * indent + f"D1 = Reg((int(_full) >> 64) & 1)")
elif any(op in line for op in ('+=', '-=', '*=', '/=', '|=', '&=', '^=')):
for op in ('+=', '-=', '*=', '/=', '|=', '&=', '^='):
if op in line:
lhs, rhs = line.split(op, 1)
lines.append(' ' * indent + f"{lhs.strip()} {op} {_expr(rhs.strip())}")
break
else:
lhs, rhs = line.split('=', 1)
lhs_s, rhs_s = _expr(lhs.strip()), rhs.strip()
stmt = _assign(lhs_s, _expr(rhs_s))
if in_first_match_loop and rhs_s == 'i' and (lhs_s == 'tmp' or lhs_s == 'D0.i32'):
stmt += "; break"
lines.append(' ' * indent + stmt)
if need_pass: lines.append(' ' * indent + "pass")
return '\n'.join(lines)
def _assign(lhs: str, rhs: str) -> str:
if lhs in ('tmp', 'SCC', 'VCC', 'EXEC', 'D0', 'D1', 'saveexec', 'PC'):
return f"{lhs} = Reg({rhs})"
return f"{lhs} = {rhs}"
def _expr(e: str) -> str:
e = e.strip()
e = e.replace('&&', ' and ').replace('||', ' or ').replace('<>', ' != ')
e = re.sub(r'!([^=])', r' not \1', e)
e = re.sub(r'\{\s*(\w+\.u32)\s*,\s*(\w+\.u32)\s*\}', r'_pack32(\1, \2)', e)
def pack(m):
hi, lo = _expr(m[1].strip()), _expr(m[2].strip())
return f'_pack({hi}, {lo})'
e = re.sub(r'\{\s*([^,{}]+)\s*,\s*([^,{}]+)\s*\}', pack, e)
e = re.sub(r"1201'B\(2\.0\s*/\s*PI\)", "TWO_OVER_PI_1201", e)
e = re.sub(r"\d+'([0-9a-fA-Fx]+)[UuFf]*", r'\1', e)
e = re.sub(r"\d+'[FIBU]\(", "(", e)
e = re.sub(r'\bB\(', '(', e)
e = re.sub(r'([0-9a-fA-Fx])ULL\b', r'\1', e)
e = re.sub(r'([0-9a-fA-Fx])LL\b', r'\1', e)
e = re.sub(r'([0-9a-fA-Fx])U\b', r'\1', e)
e = re.sub(r'(\d\.?\d*)F\b', r'\1', e)
e = re.sub(r'(\[laneId\])\.[uib]\d+', r'\1', e)
e = e.replace('+INF', 'INF').replace('-INF', '(-INF)')
e = re.sub(r'NAN\.f\d+', 'float("nan")', e)
def convert_verilog_slice(m):
start, width = m.group(1).strip(), m.group(2).strip()
return f'[({start}) + ({width}) - 1 : ({start})]'
e = re.sub(r'\[([^:\[\]]+)\s*\+:\s*([^:\[\]]+)\]', convert_verilog_slice, e)
def process_brackets(s):
result, i = [], 0
while i < len(s):
if s[i] == '[':
depth, start = 1, i + 1
j = start
while j < len(s) and depth > 0:
if s[j] == '[': depth += 1
elif s[j] == ']': depth -= 1
j += 1
inner = _expr(s[start:j-1])
result.append('[' + inner + ']')
i = j
else:
result.append(s[i])
i += 1
return ''.join(result)
e = process_brackets(e)
while '?' in e:
depth, bracket, q = 0, 0, -1
for i, c in enumerate(e):
if c == '(': depth += 1
elif c == ')': depth -= 1
elif c == '[': bracket += 1
elif c == ']': bracket -= 1
elif c == '?' and depth == 0 and bracket == 0: q = i; break
if q < 0: break
depth, bracket, col = 0, 0, -1
for i in range(q + 1, len(e)):
if e[i] == '(': depth += 1
elif e[i] == ')': depth -= 1
elif e[i] == '[': bracket += 1
elif e[i] == ']': bracket -= 1
elif e[i] == ':' and depth == 0 and bracket == 0: col = i; break
if col < 0: break
cond, t, f = e[:q].strip(), e[q+1:col].strip(), e[col+1:].strip()
e = f'(({t}) if ({cond}) else ({f}))'
return e
# ═══════════════════════════════════════════════════════════════════════════════
# PDF PARSING WITH PAGE CACHING
# ═══════════════════════════════════════════════════════════════════════════════
class CachedPDF:
"""PDF wrapper with page text/table caching for faster repeated access."""
def __init__(self, pdf):
self._pdf, self._text_cache, self._table_cache = pdf, {}, {}
def __len__(self): return len(self._pdf.pages)
def text(self, i):
if i not in self._text_cache: self._text_cache[i] = self._pdf.pages[i].extract_text() or ''
return self._text_cache[i]
def tables(self, i):
if i not in self._table_cache: self._table_cache[i] = [t.extract() for t in self._pdf.pages[i].find_tables()]
return self._table_cache[i]
def _parse_bits(s: str) -> tuple[int, int] | None:
return (int(m.group(1)), int(m.group(2) or m.group(1))) if (m := re.match(r'\[(\d+)(?::(\d+))?\]', s)) else None
def _parse_fields_table(table: list, fmt: str, enums: set[str]) -> list[tuple]:
fields = []
for row in table[1:]:
if not row or not row[0]: continue
name, bits_str = row[0].split('\n')[0].strip(), (row[1] or '').split('\n')[0].strip()
if not (bits := _parse_bits(bits_str)): continue
enc_val, hi, lo = None, bits[0], bits[1]
if name == 'ENCODING' and row[2]:
if m := re.search(r"(?:'b|Must be:\s*)([01_]+)", row[2]):
enc_bits = m.group(1).replace('_', '')
enc_val, declared_width, actual_width = int(enc_bits, 2), hi - lo + 1, len(enc_bits)
if actual_width > declared_width: lo = hi - actual_width + 1
ftype = f"{fmt}Op" if name == 'OP' and f"{fmt}Op" in enums else FIELD_TYPES.get(name.upper())
fields.append((name, hi, lo, enc_val, ftype))
return fields
def _parse_single_pdf(url: str):
"""Parse a single PDF and return (formats, enums, src_enum, doc_name, instructions)."""
import pdfplumber
from tinygrad.helpers import fetch
pdf = CachedPDF(pdfplumber.open(fetch(url)))
total_pages = len(pdf)
# Auto-detect document type
first_page = pdf.text(0)
is_cdna4, is_cdna3 = 'CDNA4' in first_page or 'CDNA 4' in first_page, 'CDNA3' in first_page or 'MI300' in first_page
is_cdna, is_rdna4 = is_cdna3 or is_cdna4, 'RDNA4' in first_page or 'RDNA 4' in first_page
is_rdna35, is_rdna3 = 'RDNA3.5' in first_page or 'RDNA 3.5' in first_page, 'RDNA3' in first_page and 'RDNA3.5' not in first_page
doc_name = "CDNA4" if is_cdna4 else "CDNA3" if is_cdna3 else "RDNA4" if is_rdna4 else "RDNA3.5" if is_rdna35 else "RDNA3" if is_rdna3 else "Unknown"
# Find Microcode Formats section (for formats/enums)
microcode_start = next((i for i in range(int(total_pages * 0.2), total_pages)
if re.search(r'\d+\.\d+\.\d+\.\s+SOP2\b|Chapter \d+\.\s+Microcode Formats', pdf.text(i))), int(total_pages * 0.9))
# Find Instructions section (for pseudocode)
instr_start = next((i for i in range(int(total_pages * 0.1), int(total_pages * 0.5))
if re.search(r'Chapter \d+\.\s+Instructions\b', pdf.text(i))), total_pages // 3)
instr_end = next((i for start in [int(total_pages * 0.6), int(total_pages * 0.5), instr_start]
for i in range(start, min(start + 100, total_pages))
if re.search(r'Chapter \d+\.\s+Microcode Formats', pdf.text(i))), total_pages)
# Parse src enum from SSRC encoding table
src_enum = dict(SRC_EXTRAS)
for i in range(microcode_start, min(microcode_start + 10, total_pages)):
text = pdf.text(i)
if 'SSRC0' in text and 'VCC_LO' in text:
for m in re.finditer(r'^(\d+)\s+(\S+)', text, re.M):
val, name = int(m.group(1)), m.group(2).rstrip('.:')
if name in FLOAT_MAP: src_enum[val] = FLOAT_MAP[name]
elif re.match(r'^[A-Z][A-Z0-9_]*$', name): src_enum[val] = name
break
# Parse opcode tables
full_text = '\n'.join(pdf.text(i) for i in range(microcode_start, min(microcode_start + 50, total_pages)))
enums: dict[str, dict[int, str]] = {}
for m in re.finditer(r'Table \d+\. (\w+) Opcodes(.*?)(?=Table \d+\.|\n\d+\.\d+\.\d+\.\s+\w+\s*\nDescription|$)', full_text, re.S):
if ops := {int(x.group(1)): x.group(2) for x in re.finditer(r'(\d+)\s+([A-Z][A-Z0-9_]+)', m.group(2))}:
enums[m.group(1) + "Op"] = ops
if vopd_m := re.search(r'Table \d+\. VOPD Y-Opcodes\n(.*?)(?=Table \d+\.|15\.\d)', full_text, re.S):
if ops := {int(x.group(1)): x.group(2) for x in re.finditer(r'(\d+)\s+(V_DUAL_\w+)', vopd_m.group(1))}:
enums["VOPDOp"] = ops
enum_names = set(enums.keys())
# Parse instruction formats
def is_fields_table(t): return t and len(t) > 1 and t[0] and 'Field' in str(t[0][0] or '')
def has_encoding(fields): return any(f[0] == 'ENCODING' for f in fields)
def has_header_before_fields(text): return (pos := text.find('Field Name')) != -1 and bool(re.search(r'\d+\.\d+\.\d+\.\s+\w+\s*\n', text[:pos]))
format_headers = []
for i in range(50):
if microcode_start + i >= total_pages: break
text = pdf.text(microcode_start + i)
for m in re.finditer(r'\d+\.\d+\.\d+\.\s+(\w+)\s*\n?Description', text): format_headers.append((m.group(1), i, m.start()))
for m in re.finditer(r'\d+\.\d+\.\d+\.\s+(\w+)\s*\n', text):
fmt_name = m.group(1)
if is_cdna and fmt_name.isupper() and len(fmt_name) >= 2: format_headers.append((fmt_name, i, m.start()))
elif m.start() > len(text) - 200 and 'Description' not in text[m.end():] and i + 1 < 50:
next_text = pdf.text(microcode_start + i + 1).lstrip()
if next_text.startswith('Description') or (next_text.startswith('"RDNA') and 'Description' in next_text[:200]):
format_headers.append((fmt_name, i, m.start()))
formats: dict[str, list] = {}
for fmt_name, rel_idx, header_pos in format_headers:
if fmt_name in formats: continue
page_idx = microcode_start + rel_idx
text = pdf.text(page_idx)
field_pos = text.find('Field Name', header_pos)
fields = None
for offset in range(3):
if page_idx + offset >= total_pages: break
if offset > 0 and has_header_before_fields(pdf.text(page_idx + offset)): break
for t in pdf.tables(page_idx + offset) if offset > 0 or field_pos > header_pos else []:
if is_fields_table(t) and (f := _parse_fields_table(t, fmt_name, enum_names)) and has_encoding(f): fields = f; break
if fields: break
if not fields and field_pos > header_pos:
for t in pdf.tables(page_idx):
if is_fields_table(t) and (f := _parse_fields_table(t, fmt_name, enum_names)): fields = f; break
if not fields: continue
field_names = {f[0] for f in fields}
for pg_offset in range(1, 3):
if page_idx + pg_offset >= total_pages or has_header_before_fields(pdf.text(page_idx + pg_offset)): break
for t in pdf.tables(page_idx + pg_offset):
if is_fields_table(t) and (extra := _parse_fields_table(t, fmt_name, enum_names)) and not has_encoding(extra):
for ef in extra:
if ef[0] not in field_names: fields.append(ef); field_names.add(ef[0])
break
formats[fmt_name] = fields
# Fix known PDF errors
if 'SMEM' in formats:
formats['SMEM'] = [(n, 13 if n == 'DLC' else 14 if n == 'GLC' else h, 13 if n == 'DLC' else 14 if n == 'GLC' else l, e, t)
for n, h, l, e, t in formats['SMEM']]
if doc_name in ('RDNA3', 'RDNA3.5'):
if 'SOPPOp' in enums: assert 8 not in enums['SOPPOp']; enums['SOPPOp'][8] = 'S_WAITCNT_DEPCTR'
if 'DSOp' in enums:
for k, v in {24: 'DS_GWS_SEMA_RELEASE_ALL', 25: 'DS_GWS_INIT', 26: 'DS_GWS_SEMA_V', 27: 'DS_GWS_SEMA_BR', 28: 'DS_GWS_SEMA_P', 29: 'DS_GWS_BARRIER'}.items():
assert k not in enums['DSOp']; enums['DSOp'][k] = v
if 'FLATOp' in enums:
for k, v in {40: 'GLOBAL_LOAD_ADDTID_B32', 41: 'GLOBAL_STORE_ADDTID_B32', 55: 'FLAT_ATOMIC_CSUB_U32'}.items():
assert k not in enums['FLATOp']; enums['FLATOp'][k] = v
# Extract pseudocode for instructions
all_text = '\n'.join(pdf.text(i) for i in range(instr_start, instr_end))
matches = list(INST_PATTERN.finditer(all_text))
raw_pseudocode: dict[tuple[str, int], str] = {}
for i, match in enumerate(matches):
name, opcode = match.group(1), int(match.group(2))
start, end = match.end(), matches[i + 1].start() if i + 1 < len(matches) else match.end() + 2000
snippet = all_text[start:end].strip()
if pseudocode := _extract_pseudocode(snippet): raw_pseudocode[(name, opcode)] = pseudocode
return {"formats": formats, "enums": enums, "src_enum": src_enum, "doc_name": doc_name, "pseudocode": raw_pseudocode, "is_cdna": is_cdna}
def _extract_pseudocode(text: str) -> str | None:
"""Extract pseudocode from an instruction description snippet."""
lines, result, depth, in_lambda = text.split('\n'), [], 0, 0
for line in lines:
s = line.strip()
if not s or re.match(r'^\d+ of \d+$', s) or re.match(r'^\d+\.\d+\..*Instructions', s): continue
if s.startswith(('Notes', 'Functional examples')): break
if s.startswith(('"RDNA', 'AMD ', 'CDNA')): continue
if '= lambda(' in s: in_lambda += 1; continue
if in_lambda > 0:
if s.endswith(');'): in_lambda -= 1
continue
if s.startswith('if '): depth += 1
elif s.startswith('endif'): depth = max(0, depth - 1)
if s.endswith('.') and not any(p in s for p in ['D0', 'D1', 'S0', 'S1', 'S2', 'SCC', 'VCC', 'tmp', '=']): continue
if re.match(r'^[a-z].*\.$', s) and '=' not in s: continue
is_code = (any(p in s for p in ['D0.', 'D1.', 'S0.', 'S1.', 'S2.', 'SCC =', 'SCC ?', 'VCC', 'EXEC', 'tmp =', 'tmp[', 'lane =', 'PC =',
'D0[', 'D1[', 'S0[', 'S1[', 'S2[']) or
s.startswith(('if ', 'else', 'elsif', 'endif', 'declare ', 'for ', 'endfor', '//')) or
re.match(r'^[a-z_]+\s*=', s) or re.match(r'^[a-z_]+\[', s) or (depth > 0 and '=' in s))
if is_code: result.append(s)
return '\n'.join(result) if result else None
def _merge_results(results: list[dict]) -> dict:
"""Merge multiple PDF parse results into a superset."""
merged = {"formats": {}, "enums": {}, "src_enum": dict(SRC_EXTRAS), "doc_names": [], "pseudocode": {}, "is_cdna": False}
for r in results:
merged["doc_names"].append(r["doc_name"])
merged["is_cdna"] = merged["is_cdna"] or r["is_cdna"]
for val, name in r["src_enum"].items():
if val in merged["src_enum"]: assert merged["src_enum"][val] == name
else: merged["src_enum"][val] = name
for enum_name, ops in r["enums"].items():
if enum_name not in merged["enums"]: merged["enums"][enum_name] = {}
for val, name in ops.items():
if val in merged["enums"][enum_name]: assert merged["enums"][enum_name][val] == name
else: merged["enums"][enum_name][val] = name
for fmt_name, fields in r["formats"].items():
if fmt_name not in merged["formats"]: merged["formats"][fmt_name] = list(fields)
else:
existing = {f[0]: (f[1], f[2]) for f in merged["formats"][fmt_name]}
for f in fields:
if f[0] in existing: assert existing[f[0]] == (f[1], f[2])
else: merged["formats"][fmt_name].append(f)
for key, pc in r["pseudocode"].items():
if key not in merged["pseudocode"]: merged["pseudocode"][key] = pc
return merged
# ═══════════════════════════════════════════════════════════════════════════════
# CODE GENERATION
# ═══════════════════════════════════════════════════════════════════════════════
def _generate_enum_py(enums, src_enum, doc_name) -> str:
"""Generate enum.py content (just enums, no dsl.py dependency)."""
def enum_lines(name, items): return [f"class {name}(IntEnum):"] + [f" {n} = {v}" for v, n in sorted(items.items())] + [""]
lines = [f"# autogenerated from AMD {doc_name} ISA PDF by pdf.py - do not edit", "from enum import IntEnum", ""]
lines += enum_lines("SrcEnum", src_enum) + sum([enum_lines(n, ops) for n, ops in sorted(enums.items())], [])
return '\n'.join(lines)
def _generate_ins_py(formats, enums, src_enum, doc_name) -> str:
"""Generate ins.py content (instruction formats and helpers, imports dsl.py and enum.py)."""
def field_key(f, order): return order.index(f[0].lower()) if f[0].lower() in order else 1000
lines = [f"# autogenerated from AMD {doc_name} ISA PDF by pdf.py - do not edit",
"# ruff: noqa: F401,F403", "from typing import Annotated",
"from extra.assembly.amd.dsl import bits, BitField, Inst32, Inst64, SGPR, VGPR, TTMP as TTMP, s as s, v as v, ttmp as ttmp, SSrc, Src, SImm, Imm, VDSTYEnc, SGPRField, VGPRField",
"from extra.assembly.amd.autogen.{arch}.enum import *",
"import functools", ""]
format_defaults = {'VOP3P': {'opsel_hi': 3, 'opsel_hi2': 1}}
lines.append("# instruction formats")
for fmt_name, fields in sorted(formats.items()):
base = "Inst64" if max(f[1] for f in fields) > 31 or fmt_name == 'VOP3SD' else "Inst32"
order = FIELD_ORDER.get(fmt_name, [])
lines.append(f"class {fmt_name}({base}):")
if enc := next((f for f in fields if f[0] == 'ENCODING'), None):
lines.append(f" encoding = bits[{enc[1]}:{enc[2]}] == 0b{enc[3]:b}" if enc[1] != enc[2] else f" encoding = bits[{enc[1]}] == {enc[3]}")
if defaults := format_defaults.get(fmt_name): lines.append(f" _defaults = {defaults}")
for name, hi, lo, _, ftype in sorted([f for f in fields if f[0] != 'ENCODING'], key=lambda f: field_key(f, order)):
ann = f":Annotated[BitField, {ftype}]" if ftype and ftype.endswith('Op') else f":{ftype}" if ftype else ""
lines.append(f" {name.lower()}{ann} = bits[{hi}]" if hi == lo else f" {name.lower()}{ann} = bits[{hi}:{lo}]")
lines.append("")
lines.append("# instruction helpers")
for cls_name, ops in sorted(enums.items()):
fmt = cls_name[:-2]
for op_val, name in sorted(ops.items()):
seg = {"GLOBAL": ", seg=2", "SCRATCH": ", seg=1"}.get(fmt, "")
tgt = {"GLOBAL": "FLAT, GLOBALOp", "SCRATCH": "FLAT, SCRATCHOp"}.get(fmt, f"{fmt}, {cls_name}")
if fmt in formats or fmt in ("GLOBAL", "SCRATCH"):
suffix = "_e32" if fmt in ("VOP1", "VOP2", "VOPC") else "_e64" if fmt == "VOP3" and op_val < 512 else ""
if name in ('V_FMAMK_F32', 'V_FMAMK_F16'):
lines.append(f"def {name.lower()}{suffix}(vdst, src0, K, vsrc1): return {fmt}({cls_name}.{name}, vdst, src0, vsrc1, literal=K)")
elif name in ('V_FMAAK_F32', 'V_FMAAK_F16'):
lines.append(f"def {name.lower()}{suffix}(vdst, src0, vsrc1, K): return {fmt}({cls_name}.{name}, vdst, src0, vsrc1, literal=K)")
else: lines.append(f"{name.lower()}{suffix} = functools.partial({tgt}.{name}{seg})")
src_names = {name for _, name in src_enum.items()}
lines += [""] + [f"{name} = SrcEnum.{name}" for _, name in sorted(src_enum.items()) if name not in {'DPP8', 'DPP16'}]
if "NULL" in src_names: lines.append("OFF = NULL\n")
return '\n'.join(lines)
def _generate_gen_pcode_py(enums, pseudocode, arch) -> str:
"""Generate gen_pcode.py content (compiled pseudocode functions)."""
# Get op enums for this arch (import from .ins which re-exports from .enum)
import importlib
autogen = importlib.import_module(f"extra.assembly.amd.autogen.{arch}.ins")
OP_ENUMS = [getattr(autogen, name) for name in ['SOP1Op', 'SOP2Op', 'SOPCOp', 'SOPKOp', 'SOPPOp', 'VOP1Op', 'VOP2Op', 'VOP3Op', 'VOP3SDOp', 'VOP3POp', 'VOPCOp', 'VOP3AOp', 'VOP3BOp'] if hasattr(autogen, name)]
# Build defined ops mapping
defined_ops: dict[tuple, list] = {}
for enum_cls in OP_ENUMS:
for op in enum_cls:
if op.name.startswith(('S_', 'V_')): defined_ops.setdefault((op.name, op.value), []).append((enum_cls, op))
enum_names = [e.__name__ for e in OP_ENUMS]
lines = [f'''# autogenerated by pdf.py - do not edit
# to regenerate: python -m extra.assembly.amd.pdf --arch {arch}
# ruff: noqa: E501,F405,F403
# mypy: ignore-errors
from extra.assembly.amd.autogen.{arch}.enum import {", ".join(enum_names)}
from extra.assembly.amd.pcode import *
''']
instructions: dict = {cls: {} for cls in OP_ENUMS}
for key, pc in pseudocode.items():
if key in defined_ops:
for enum_cls, enum_val in defined_ops[key]: instructions[enum_cls][enum_val] = pc
for enum_cls in OP_ENUMS:
cls_name = enum_cls.__name__
if not instructions.get(enum_cls): continue
fn_entries = []
for op, pc in instructions[enum_cls].items():
if any(p in pc for p in UNSUPPORTED): continue
try:
code = compile_pseudocode(pc)
code = _apply_pseudocode_fixes(op, code)
fn_name, fn_code = _generate_function(cls_name, op, pc, code)
lines.append(fn_code)
fn_entries.append((op, fn_name))
except Exception as e: print(f" Warning: Failed to compile {op.name}: {e}")
if fn_entries:
lines.append(f'{cls_name}_FUNCTIONS = {{')
for op, fn_name in fn_entries: lines.append(f" {cls_name}.{op.name}: {fn_name},")
lines.append('}\n')
# Add V_WRITELANE_B32 if VOP3Op exists
if 'VOP3Op' in enum_names:
lines.append('''
# V_WRITELANE_B32: Write scalar to specific lane's VGPR (not in PDF pseudocode)
def _VOP3Op_V_WRITELANE_B32(s0, s1, s2, d0, scc, vcc, lane, exec_mask, literal, VGPR, _vars, src0_idx=0, vdst_idx=0):
wr_lane = s1 & 0x1f
return {'d0': d0, 'scc': scc, 'vgpr_write': (wr_lane, vdst_idx, s0 & 0xffffffff)}
VOP3Op_FUNCTIONS[VOP3Op.V_WRITELANE_B32] = _VOP3Op_V_WRITELANE_B32
''')
lines.append('COMPILED_FUNCTIONS = {')
for enum_cls in OP_ENUMS:
if instructions.get(enum_cls): lines.append(f' {enum_cls.__name__}: {enum_cls.__name__}_FUNCTIONS,')
lines.append('}\n\ndef get_compiled_functions(): return COMPILED_FUNCTIONS')
return '\n'.join(lines)
def _apply_pseudocode_fixes(op, code: str) -> str:
"""Apply known fixes for PDF pseudocode bugs."""
if op.name == 'V_DIV_FMAS_F32':
code = code.replace('D0.f32 = 2.0 ** 32 * fma(S0.f32, S1.f32, S2.f32)',
'D0.f32 = (2.0 ** 64 if exponent(S2.f32) > 127 else 2.0 ** -64) * fma(S0.f32, S1.f32, S2.f32)')
if op.name == 'V_DIV_FMAS_F64':
code = code.replace('D0.f64 = 2.0 ** 64 * fma(S0.f64, S1.f64, S2.f64)',
'D0.f64 = (2.0 ** 128 if exponent(S2.f64) > 1023 else 2.0 ** -128) * fma(S0.f64, S1.f64, S2.f64)')
if op.name == 'V_DIV_SCALE_F32':
code = code.replace('D0.f32 = float("nan")', 'VCC = Reg(0x1); D0.f32 = float("nan")')
code = code.replace('elif S1.f32 == DENORM.f32:\n D0.f32 = ldexp(S0.f32, 64)', 'elif False:\n pass')
code += '\nif S1.f32 == DENORM.f32:\n D0.f32 = float("nan")'
code = code.replace('elif exponent(S2.f32) <= 23:\n D0.f32 = ldexp(S0.f32, 64)', 'elif exponent(S2.f32) <= 23:\n VCC = Reg(0x1); D0.f32 = ldexp(S0.f32, 64)')
code = code.replace('elif S2.f32 / S1.f32 == DENORM.f32:\n VCC = Reg(0x1)\n if S0.f32 == S2.f32:\n D0.f32 = ldexp(S0.f32, 64)', 'elif S2.f32 / S1.f32 == DENORM.f32:\n VCC = Reg(0x1)')
if op.name == 'V_DIV_SCALE_F64':
code = code.replace('D0.f64 = float("nan")', 'VCC = Reg(0x1); D0.f64 = float("nan")')
code = code.replace('elif S1.f64 == DENORM.f64:\n D0.f64 = ldexp(S0.f64, 128)', 'elif False:\n pass')
code += '\nif S1.f64 == DENORM.f64:\n D0.f64 = float("nan")'
code = code.replace('elif exponent(S2.f64) <= 52:\n D0.f64 = ldexp(S0.f64, 128)', 'elif exponent(S2.f64) <= 52:\n VCC = Reg(0x1); D0.f64 = ldexp(S0.f64, 128)')
code = code.replace('elif S2.f64 / S1.f64 == DENORM.f64:\n VCC = Reg(0x1)\n if S0.f64 == S2.f64:\n D0.f64 = ldexp(S0.f64, 128)', 'elif S2.f64 / S1.f64 == DENORM.f64:\n VCC = Reg(0x1)')
if op.name == 'V_DIV_FIXUP_F32':
code = code.replace('D0.f32 = ((-abs(S0.f32)) if (sign_out) else (abs(S0.f32)))',
'D0.f32 = ((-OVERFLOW_F32) if (sign_out) else (OVERFLOW_F32)) if isNAN(S0.f32) else ((-abs(S0.f32)) if (sign_out) else (abs(S0.f32)))')
if op.name == 'V_DIV_FIXUP_F64':
code = code.replace('D0.f64 = ((-abs(S0.f64)) if (sign_out) else (abs(S0.f64)))',
'D0.f64 = ((-OVERFLOW_F64) if (sign_out) else (OVERFLOW_F64)) if isNAN(S0.f64) else ((-abs(S0.f64)) if (sign_out) else (abs(S0.f64)))')
if op.name == 'V_TRIG_PREOP_F64':
code = code.replace('result = F((TWO_OVER_PI_1201[1200 : 0] << shift.u32) & 0x1fffffffffffff)',
'result = float(((TWO_OVER_PI_1201[1200 : 0] << int(shift)) >> (1201 - 53)) & 0x1fffffffffffff)')
return code
def _generate_function(cls_name: str, op, pc: str, code: str) -> tuple[str, str]:
"""Generate a single compiled pseudocode function."""
has_d1 = '{ D1' in pc
is_cmpx = (cls_name in ('VOPCOp', 'VOP3Op')) and 'EXEC.u64[laneId]' in pc
is_div_scale = 'DIV_SCALE' in op.name
has_sdst = cls_name == 'VOP3SDOp' and ('VCC.u64[laneId]' in pc or is_div_scale)
combined = code + pc
fn_name = f"_{cls_name}_{op.name}"
# Function accepts Reg objects directly (uppercase names), laneId is passed directly as int
lines = [f"def {fn_name}(S0, S1, S2, D0, SCC, VCC, laneId, EXEC, literal, VGPR, src0_idx=0, vdst_idx=0, PC=None):"]
# Registers that need special handling (not passed directly)
# Only init if used but not first assigned as `name = Reg(...)` in the compiled code
def needs_init(name): return name in combined and not re.search(rf'^\s*{name}\s*=\s*Reg\(', code, re.MULTILINE)
special_regs = [('D1', 'Reg(0)'), ('SIMM16', 'Reg(literal)'), ('SIMM32', 'Reg(literal)'),
('SRC0', 'Reg(src0_idx)'), ('VDST', 'Reg(vdst_idx)')]
if needs_init('tmp'): special_regs.insert(0, ('tmp', 'Reg(0)'))
if needs_init('saveexec'): special_regs.insert(0, ('saveexec', 'Reg(EXEC._val)'))
used = {name for name, _ in special_regs if name in combined}
# Detect which registers are modified (not just read) - look for assignments
modifies_d0 = is_div_scale or bool(re.search(r'\bD0\b[.\[]', combined))
modifies_exec = is_cmpx or bool(re.search(r'EXEC\.(u32|u64|b32|b64)\s*=', combined))
modifies_vcc = has_sdst or bool(re.search(r'VCC\.(u32|u64|b32|b64)\s*=|VCC\.u64\[laneId\]\s*=', combined))
modifies_scc = bool(re.search(r'\bSCC\s*=', combined))
modifies_pc = bool(re.search(r'\bPC\s*=', combined))
# Build init code for special registers
init_lines = []
if is_div_scale: init_lines.append(" D0 = Reg(S0._val)")
for name, init in special_regs:
if name in used: init_lines.append(f" {name} = {init}")
if 'EXEC_LO' in code: init_lines.append(" EXEC_LO = SliceProxy(EXEC, 31, 0)")
if 'EXEC_HI' in code: init_lines.append(" EXEC_HI = SliceProxy(EXEC, 63, 32)")
if 'VCCZ' in code and not re.search(r'^\s*VCCZ\s*=', code, re.MULTILINE): init_lines.append(" VCCZ = Reg(1 if VCC._val == 0 else 0)")
if 'EXECZ' in code and not re.search(r'^\s*EXECZ\s*=', code, re.MULTILINE): init_lines.append(" EXECZ = Reg(1 if EXEC._val == 0 else 0)")
code_lines = [line for line in code.split('\n') if line.strip()]
if init_lines:
lines.extend(init_lines)
if code_lines: lines.append(" # --- compiled pseudocode ---")
for line in code_lines:
lines.append(f" {line}")
# Build result dict - only include registers that are modified
result_items = []
if modifies_d0: result_items.append("'D0': D0")
if modifies_scc: result_items.append("'SCC': SCC")
if modifies_vcc: result_items.append("'VCC': VCC")
if modifies_exec: result_items.append("'EXEC': EXEC")
if has_d1: result_items.append("'D1': D1")
if modifies_pc: result_items.append("'PC': PC")
lines.append(f" return {{{', '.join(result_items)}}}\n")
return fn_name, '\n'.join(lines)
# ═══════════════════════════════════════════════════════════════════════════════
# MAIN GENERATION
# ═══════════════════════════════════════════════════════════════════════════════
def generate_arch(arch: str) -> dict:
"""Generate enum.py, ins.py and gen_pcode.py for a single architecture."""
urls = PDF_URLS[arch]
if isinstance(urls, str): urls = [urls]
print(f"\n{'='*60}\nGenerating {arch}...")
print(f"Parsing {len(urls)} PDF(s)...")
results = [_parse_single_pdf(url) for url in urls]
merged = _merge_results(results) if len(results) > 1 else results[0]
doc_name = "+".join(merged["doc_names"]) if len(results) > 1 else merged["doc_name"]
base_path = Path(f"extra/assembly/amd/autogen/{arch}")
base_path.mkdir(parents=True, exist_ok=True)
(base_path / "__init__.py").touch()
# Write enum.py (enums only, no dsl.py dependency)
enum_path = base_path / "enum.py"
enum_content = _generate_enum_py(merged["enums"], merged["src_enum"], doc_name)
enum_path.write_text(enum_content)
print(f"Generated {enum_path}: SrcEnum ({len(merged['src_enum'])}) + {len(merged['enums'])} enums")
# Write ins.py (instruction formats and helpers, imports dsl.py and enum.py)
ins_path = base_path / "ins.py"
ins_content = _generate_ins_py(merged["formats"], merged["enums"], merged["src_enum"], doc_name).replace("{arch}", arch)
ins_path.write_text(ins_content)
print(f"Generated {ins_path}: {len(merged['formats'])} formats")
# Write gen_pcode.py (needs enum.py to exist first for imports)
pcode_path = base_path / "gen_pcode.py"
pcode_content = _generate_gen_pcode_py(merged["enums"], merged["pseudocode"], arch)
pcode_path.write_text(pcode_content)
print(f"Generated {pcode_path}: {len(merged['pseudocode'])} instructions")
return merged
def _generate_arch_wrapper(arch: str):
"""Wrapper for multiprocessing - returns arch name for ordering."""
generate_arch(arch)
return arch
def generate_all():
"""Generate all architectures in parallel."""
with ProcessPoolExecutor() as executor:
list(executor.map(_generate_arch_wrapper, PDF_URLS.keys()))
if __name__ == "__main__":
import argparse
parser = argparse.ArgumentParser(description="Generate AMD ISA autogen files from PDF documentation")
parser.add_argument("--arch", choices=list(PDF_URLS.keys()) + ["all"], default="rdna3")
args = parser.parse_args()
if args.arch == "all": generate_all()
else: generate_arch(args.arch)
+386
View File
@@ -0,0 +1,386 @@
"""SQTT (SQ Thread Trace) packet encoder and decoder for AMD GPUs.
This module provides encoding and decoding of raw SQTT byte streams.
The format is nibble-based with variable-width packets determined by a state machine.
Uses BitField infrastructure from dsl.py, similar to GPU instruction encoding.
"""
from __future__ import annotations
from typing import Iterator
from enum import Enum
from extra.assembly.amd.dsl import BitField, FixedBitField, bits
# ═══════════════════════════════════════════════════════════════════════════════
# FIELD ENUMS
# ═══════════════════════════════════════════════════════════════════════════════
class MemSrc(Enum):
LDS = 0
LDS_ALT = 1
VMEM = 2
VMEM_ALT = 3
class AluSrc(Enum):
NONE = 0
SALU = 1
VALU = 2
VALU_SALU = 3
class InstOp(Enum):
"""SQTT instruction operation types.
Memory ops appear in two ranges depending on which SIMD executes them:
- 0x1x-0x2x range: ops on traced SIMD
- 0x5x range: ops on other SIMD (OTHER_ prefix)
GLOBAL memory ops encoding depends on addressing mode AND size:
- Loads: 0x21 (saddr=SGPR) or 0x22 (saddr=NULL), all sizes same
- Stores: base + size_offset, where VADDR is shifted +1 from SADDR
SADDR: 0x24(32) 0x25(64) 0x26(96) 0x27(128)
VADDR: 0x25(32) 0x26(64) 0x27(96) 0x28(128)
OTHER_ range follows same pattern but values overlap differently.
"""
SALU = 0x0
SMEM = 0x1
JUMP = 0x3 # branch taken
JUMP_NO = 0x4 # branch not taken
MESSAGE = 0x9
VALU_TRANS = 0xb # transcendental: exp, log, rcp, sqrt, sin, cos
VALU_64_SHIFT = 0xd # 64-bit shifts: lshl, lshr, ashr
VALU_MAD64 = 0xe # 64-bit multiply-add
VALU_64 = 0xf # 64-bit: add, mul, fma, rcp, sqrt, rounding, frexp, div helpers
VINTERP = 0x12 # interpolation: v_interp_p10_f32, v_interp_p2_f32
BARRIER = 0x13
# FLAT memory ops on traced SIMD (0x1x range)
FLAT_LOAD = 0x1c
FLAT_STORE = 0x1d
FLAT_STORE_64 = 0x1e
FLAT_STORE_96 = 0x1f
FLAT_STORE_128 = 0x20
# GLOBAL memory ops on traced SIMD (0x2x range)
GLOBAL_LOAD = 0x21 # saddr=SGPR, all sizes
GLOBAL_LOAD_VADDR = 0x22 # saddr=NULL, all sizes
GLOBAL_STORE = 0x24 # saddr=SGPR, 32-bit
GLOBAL_STORE_64 = 0x25 # saddr=SGPR 64 or saddr=NULL 32
GLOBAL_STORE_96 = 0x26 # saddr=SGPR 96 or saddr=NULL 64
GLOBAL_STORE_128 = 0x27 # saddr=SGPR 128 or saddr=NULL 96
GLOBAL_STORE_VADDR_128 = 0x28 # saddr=NULL, 128-bit
# LDS ops on traced SIMD
LDS_LOAD = 0x29
LDS_STORE = 0x2b
LDS_STORE_64 = 0x2c
LDS_STORE_128 = 0x2e
# Memory ops on other SIMD (0x5x range)
OTHER_LDS_LOAD = 0x50
OTHER_LDS_STORE = 0x51
OTHER_LDS_STORE_64 = 0x52
OTHER_LDS_STORE_128 = 0x54
OTHER_FLAT_LOAD = 0x55
OTHER_FLAT_STORE = 0x56
OTHER_FLAT_STORE_64 = 0x57
OTHER_FLAT_STORE_96 = 0x58
OTHER_FLAT_STORE_128 = 0x59
OTHER_GLOBAL_LOAD = 0x5a # saddr=SGPR, all sizes
OTHER_GLOBAL_LOAD_VADDR = 0x5b # saddr=NULL or saddr=SGPR store 32
OTHER_GLOBAL_STORE_64 = 0x5c # saddr=SGPR 64 or saddr=NULL 32
OTHER_GLOBAL_STORE_96 = 0x5d # saddr=SGPR 96 or saddr=NULL 64
OTHER_GLOBAL_STORE_128 = 0x5e # saddr=SGPR 128 or saddr=NULL 96
OTHER_GLOBAL_STORE_VADDR_128 = 0x5f # saddr=NULL, 128-bit
# EXEC-modifying ops (0x7x range)
SALU_SAVEEXEC = 0x72 # s_*_saveexec_b32/b64
VALU_CMPX = 0x73 # v_cmpx_*
# ═══════════════════════════════════════════════════════════════════════════════
# PACKET TYPE BASE CLASS
# ═══════════════════════════════════════════════════════════════════════════════
class PacketType:
"""Base class for SQTT packet types."""
encoding: FixedBitField
_raw: int
_time: int
def __init_subclass__(cls, **kwargs):
super().__init_subclass__(**kwargs)
cls._fields = {k: v for k, v in cls.__dict__.items() if isinstance(v, BitField)}
cls._size_nibbles = ((max((f.hi for f in cls._fields.values()), default=0) + 4) // 4)
@classmethod
def from_raw(cls, raw: int, time: int = 0):
inst = object.__new__(cls)
inst._raw, inst._time = raw, time
return inst
def __repr__(self) -> str:
fields_str = ", ".join(f"{k}={getattr(self, k)}" for k in self._fields if not k.startswith('_'))
return f"{self.__class__.__name__}({fields_str})"
# ═══════════════════════════════════════════════════════════════════════════════
# PACKET TYPE DEFINITIONS
# ═══════════════════════════════════════════════════════════════════════════════
class VALUINST(PacketType): # exclude: 1 << 2
encoding = bits[2:0] == 0b011
delta = bits[5:3]
flag = bits[6:6]
wave = bits[11:7]
class VMEMEXEC(PacketType): # exclude: 1 << 0
encoding = bits[3:0] == 0b1111
delta = bits[5:4]
src = bits[7:6].enum(MemSrc)
class ALUEXEC(PacketType): # exclude: 1 << 1
encoding = bits[3:0] == 0b1110
delta = bits[5:4]
src = bits[7:6].enum(AluSrc)
class IMMEDIATE(PacketType): # exclude: 1 << 5
encoding = bits[3:0] == 0b1101
delta = bits[6:4]
wave = bits[11:7]
class IMMEDIATE_MASK(PacketType): # exclude: 1 << 5
encoding = bits[4:0] == 0b00100
delta = bits[7:5]
mask = bits[23:8]
class WAVERDY(PacketType): # exclude: 1 << 3
encoding = bits[4:0] == 0b10100
delta = bits[7:5]
mask = bits[23:8]
class TS_DELTA_S8_W3(PacketType):
encoding = bits[6:0] == 0b0100001
delta = bits[10:8]
_padding = bits[63:11]
class WAVEEND(PacketType): # exclude: 1 << 4
encoding = bits[4:0] == 0b10101
delta = bits[7:5]
flag7 = bits[8:8]
simd = bits[10:9]
cu_lo = bits[13:11]
wave = bits[19:15]
@property
def cu(self) -> int: return self.cu_lo | (self.flag7 << 3)
class WAVESTART(PacketType): # exclude: 1 << 4
encoding = bits[4:0] == 0b01100
delta = bits[6:5]
flag7 = bits[7:7]
simd = bits[9:8]
cu_lo = bits[12:10]
wave = bits[17:13]
id7 = bits[31:18]
@property
def cu(self) -> int: return self.cu_lo | (self.flag7 << 3)
class TS_DELTA_S5_W2(PacketType):
encoding = bits[4:0] == 0b11100
delta = bits[6:5]
_padding = bits[47:7]
class WAVEALLOC(PacketType): # exclude: 1 << 10
encoding = bits[4:0] == 0b00101
delta = bits[7:5]
_padding = bits[19:8]
class TS_DELTA_S5_W3(PacketType):
encoding = bits[4:0] == 0b00110
delta = bits[7:5]
_padding = bits[51:8]
class PERF(PacketType): # exclude: 1 << 11
encoding = bits[4:0] == 0b10110
delta = bits[7:5]
arg = bits[27:8]
class TS_DELTA_SHORT(PacketType):
encoding = bits[3:0] == 0b1000
delta = bits[7:4]
class NOP(PacketType):
encoding = bits[3:0] == 0b0000
delta = None # type: ignore
_padding = bits[3:0]
class TS_WAVE_STATE(PacketType):
encoding = bits[6:0] == 0b1010001
delta = bits[15:7]
coarse = bits[23:16]
@property
def wave_interest(self) -> bool: return bool(self.coarse & 1)
@property
def terminate_all(self) -> bool: return bool(self.coarse & 8)
class EVENT(PacketType): # exclude: 1 << 7
encoding = bits[7:0] == 0b01100001
delta = bits[10:8]
event = bits[23:11]
class EVENT_BIG(PacketType):
encoding = bits[7:0] == 0b11100001
delta = bits[10:8]
event = bits[31:11]
class REG(PacketType):
encoding = bits[3:0] == 0b1001
delta = bits[6:4]
slot = bits[9:7]
hi_byte = bits[15:8]
subop = bits[31:16]
val32 = bits[63:32]
@property
def is_config(self) -> bool: return bool(self.hi_byte & 0x80)
class SNAPSHOT(PacketType):
encoding = bits[6:0] == 0b1110001
delta = bits[9:7]
snap = bits[63:10]
class TS_DELTA_OR_MARK(PacketType):
encoding = bits[6:0] == 0b0000001
delta = bits[47:12]
bit8 = bits[8:8]
bit9 = bits[9:9]
@property
def is_marker(self) -> bool: return bool(self.bit9 and not self.bit8)
class LAYOUT_HEADER(PacketType):
encoding = bits[6:0] == 0b0010001
delta = None # type: ignore
layout = bits[12:7]
simd = bits[14:13]
group = bits[17:15]
sel_a = bits[31:28]
sel_b = bits[36:33]
flag4 = bits[59:59]
_padding = bits[63:60]
class INST(PacketType):
encoding = bits[2:0] == 0b010
delta = bits[6:4]
flag1 = bits[3:3]
flag2 = bits[7:7]
wave = bits[12:8]
op = bits[19:13].enum(InstOp)
class UTILCTR(PacketType):
encoding = bits[6:0] == 0b0110001
delta = bits[8:7]
ctr = bits[47:9]
# All packet types in encoding priority order (more specific masks first, NOP last as fallback)
PACKET_TYPES: list[type[PacketType]] = [
EVENT, EVENT_BIG,
TS_DELTA_S8_W3, TS_WAVE_STATE, SNAPSHOT, TS_DELTA_OR_MARK, LAYOUT_HEADER, UTILCTR,
IMMEDIATE_MASK, WAVERDY, WAVEEND, WAVESTART, TS_DELTA_S5_W2, WAVEALLOC, TS_DELTA_S5_W3, PERF,
VMEMEXEC, ALUEXEC, IMMEDIATE, TS_DELTA_SHORT, REG,
VALUINST, INST,
NOP,
]
def _build_state_table() -> tuple[bytes, dict[int, type[PacketType]]]:
table = [len(PACKET_TYPES) - 1] * 256 # default to NOP
opcode_to_class: dict[int, type[PacketType]] = {i: cls for i, cls in enumerate(PACKET_TYPES)}
for byte_val in range(256):
for opcode, pkt_cls in enumerate(PACKET_TYPES):
if (byte_val & pkt_cls.encoding.mask) == pkt_cls.encoding.default:
table[byte_val] = opcode
break
return bytes(table), opcode_to_class
STATE_TO_OPCODE, OPCODE_TO_CLASS = _build_state_table()
# Precompute special case opcodes
_TS_DELTA_OR_MARK_OPCODE = next(op for op, cls in OPCODE_TO_CLASS.items() if cls is TS_DELTA_OR_MARK)
_TS_DELTA_SHORT_OPCODE = next(op for op, cls in OPCODE_TO_CLASS.items() if cls is TS_DELTA_SHORT)
# Combined lookup: opcode -> (pkt_cls, nib_count, delta_lo, delta_mask, special_case)
# special_case: 0=none, 1=TS_DELTA_OR_MARK, 2=TS_DELTA_SHORT
_DECODE_INFO: dict[int, tuple] = {}
for _opcode, _pkt_cls in OPCODE_TO_CLASS.items():
_delta_field = getattr(_pkt_cls, 'delta', None)
_delta_lo = _delta_field.lo if _delta_field else 0
_delta_mask = _delta_field.mask if _delta_field else 0
_special = 1 if _opcode == _TS_DELTA_OR_MARK_OPCODE else (2 if _opcode == _TS_DELTA_SHORT_OPCODE else 0)
_DECODE_INFO[_opcode] = (_pkt_cls, _pkt_cls._size_nibbles, _delta_lo, _delta_mask, _special)
# ═══════════════════════════════════════════════════════════════════════════════
# DECODER
# ═══════════════════════════════════════════════════════════════════════════════
def decode(data: bytes) -> Iterator[PacketType]:
"""Decode raw SQTT blob, yielding packet instances."""
n, reg, pos, nib_off, nib_count, time = len(data), 0, 0, 0, 16, 0
while pos + ((nib_count + nib_off + 1) >> 1) <= n:
need = nib_count - nib_off
# 1. if unaligned, read high nibble to align
if nib_off: reg, pos = (reg >> 4) | ((data[pos] >> 4) << 60), pos + 1
# 2. read all full bytes at once
if (byte_count := need >> 1):
chunk = int.from_bytes(data[pos:pos + byte_count], 'little')
reg, pos = (reg >> (byte_count * 8)) | (chunk << (64 - byte_count * 8)), pos + byte_count
# 3. if odd, read low nibble
if (nib_off := need & 1): reg = (reg >> 4) | ((data[pos] & 0xF) << 60)
opcode = STATE_TO_OPCODE[reg & 0xFF]
pkt_cls, nib_count, delta_lo, delta_mask, special = _DECODE_INFO[opcode]
delta = (reg >> delta_lo) & delta_mask
if special == 1 and (reg >> 9) & 1 and not (reg >> 8) & 1: delta = 0 # TS_DELTA_OR_MARK marker
elif special == 2: delta += 8 # TS_DELTA_SHORT
time += delta
yield pkt_cls.from_raw(reg, time)
# ═══════════════════════════════════════════════════════════════════════════════
# PRINTER
# ═══════════════════════════════════════════════════════════════════════════════
PACKET_COLORS = {
"INST": "WHITE", "VALUINST": "BLACK", "VMEMEXEC": "yellow", "ALUEXEC": "yellow",
"IMMEDIATE": "YELLOW", "IMMEDIATE_MASK": "YELLOW", "WAVERDY": "cyan", "WAVEALLOC": "cyan",
"WAVEEND": "blue", "WAVESTART": "blue", "PERF": "magenta", "EVENT": "red", "EVENT_BIG": "red",
"REG": "green", "LAYOUT_HEADER": "white", "SNAPSHOT": "white", "UTILCTR": "green",
}
def format_packet(p) -> str:
from tinygrad.helpers import colored
name = type(p).__name__
if isinstance(p, INST):
op_name = p.op.name if isinstance(p.op, InstOp) else f"0x{p.op:02x}"
fields = f"wave={p.wave} op={op_name}" + (" flag1" if p.flag1 else "") + (" flag2" if p.flag2 else "")
elif isinstance(p, VALUINST): fields = f"wave={p.wave}" + (" flag" if p.flag else "")
elif isinstance(p, ALUEXEC): fields = f"src={p.src.name if isinstance(p.src, AluSrc) else p.src}"
elif isinstance(p, VMEMEXEC): fields = f"src={p.src.name if isinstance(p.src, MemSrc) else p.src}"
elif isinstance(p, (WAVESTART, WAVEEND)): fields = f"wave={p.wave} simd={p.simd} cu={p.cu}"
elif hasattr(p, '_fields'):
fields = " ".join(f"{k}=0x{getattr(p, k):x}" if k in {'snap', 'val32'} else f"{k}={getattr(p, k)}"
for k in p._fields if not k.startswith('_') and k not in {'delta', 'encoding'})
else: fields = ""
return f"{p._time:8}: {colored(f'{name:18}', PACKET_COLORS.get(name, 'white'))} {fields}"
def print_packets(packets) -> None:
skip = {"NOP", "TS_DELTA_SHORT", "TS_WAVE_STATE", "TS_DELTA_OR_MARK", "TS_DELTA_S5_W2", "TS_DELTA_S5_W3", "TS_DELTA_S8_W3", "REG", "EVENT"}
for p in packets:
if type(p).__name__ not in skip: print(format_packet(p))
if __name__ == "__main__":
import sys, pickle
if len(sys.argv) < 2:
print("Usage: python sqtt.py <pkl_file>")
sys.exit(1)
with open(sys.argv[1], "rb") as f:
data = pickle.load(f)
sqtt_events = [e for e in data if type(e).__name__ == "ProfileSQTTEvent"]
for i, event in enumerate(sqtt_events):
print(f"\n=== event {i} ===")
print_packets(decode(event.blob))
+46 -148
View File
@@ -1,13 +1,12 @@
#!/usr/bin/env python3
"""Benchmark comparing Python vs Rust RDNA3 emulators on synthetic and real tinygrad kernels."""
import ctypes, time, os, struct, cProfile, pstats, io
"""Benchmark comparing Python vs Rust RDNA3 emulators on real tinygrad kernels."""
import ctypes, time, os
from pathlib import Path
from typing import Callable
# Set AMD=1 before importing tinygrad
os.environ["AMD"] = "1"
from extra.assembly.amd.emu import run_asm as python_run_asm, set_valid_mem_ranges, decode_program, step_wave, WaveState, WAVE_SIZE
from extra.assembly.amd.emu import run_asm as python_run_asm, set_valid_mem_ranges, decode_program
REMU_PATH = Path(__file__).parents[3] / "remu/target/release/libremu.so"
if not REMU_PATH.exists():
@@ -42,7 +41,7 @@ def setup_buffers(buf_sizes: list[int], init_data: dict[int, bytes] | None = Non
ranges.add((args_ptr, ctypes.sizeof(args)))
return buffers, args, args_ptr, ranges
def benchmark_emulator(name: str, run_fn, kernel: bytes, global_size, local_size, args_ptr, iterations: int = 5):
def benchmark_emulator(name: str, run_fn, kernel: bytes, global_size, local_size, args_ptr, rsrc2: int, iterations: int = 5):
"""Benchmark an emulator and return average time."""
gx, gy, gz = global_size
lx, ly, lz = local_size
@@ -50,13 +49,13 @@ def benchmark_emulator(name: str, run_fn, kernel: bytes, global_size, local_size
lib_ptr = ctypes.addressof(kernel_buf)
# Warmup
run_fn(lib_ptr, len(kernel), gx, gy, gz, lx, ly, lz, args_ptr)
run_fn(lib_ptr, len(kernel), gx, gy, gz, lx, ly, lz, args_ptr, rsrc2)
# Timed runs
times = []
for _ in range(iterations):
start = time.perf_counter()
result = run_fn(lib_ptr, len(kernel), gx, gy, gz, lx, ly, lz, args_ptr)
result = run_fn(lib_ptr, len(kernel), gx, gy, gz, lx, ly, lz, args_ptr, rsrc2)
end = time.perf_counter()
if result != 0:
print(f" {name} returned error: {result}")
@@ -65,27 +64,12 @@ def benchmark_emulator(name: str, run_fn, kernel: bytes, global_size, local_size
return sum(times) / len(times)
def create_synthetic_kernel(n_ops: int) -> bytes:
"""Create a synthetic kernel with n_ops vector operations."""
instructions = []
# VOP2 instructions: v_add_f32, v_mul_f32, v_max_f32, v_min_f32
ops = [
(0b0000011 << 25) | (1 << 17) | (0 << 9) | 256, # v_add_f32 v0, v0, v1
(0b0001000 << 25) | (1 << 17) | (0 << 9) | 256, # v_mul_f32 v0, v0, v1
(0b0010000 << 25) | (1 << 17) | (0 << 9) | 256, # v_max_f32 v0, v0, v1
(0b0001111 << 25) | (1 << 17) | (0 << 9) | 256, # v_min_f32 v0, v0, v1
]
for i in range(n_ops):
instructions.append(ops[i % len(ops)])
# S_ENDPGM
instructions.append((0b101111111 << 23) | (48 << 16) | 0)
return b''.join(struct.pack('<I', inst) for inst in instructions)
def get_tinygrad_kernel(op_name: str) -> tuple[bytes, tuple, tuple, list[int], dict[int, bytes]] | None:
"""Get a real tinygrad kernel by operation name. Returns (code, global_size, local_size, buf_sizes, buf_data)."""
def get_tinygrad_kernel(op_name: str) -> tuple[bytes, tuple, tuple, list[int], dict[int, bytes], int] | None:
"""Get a real tinygrad kernel by operation name. Returns (code, global_size, local_size, buf_sizes, buf_data, rsrc2)."""
try:
from tinygrad import Tensor
from tinygrad.runtime.support.elf import elf_loader
from tinygrad.runtime.autogen import hsa
import numpy as np
np.random.seed(42)
@@ -112,7 +96,9 @@ def get_tinygrad_kernel(op_name: str) -> tuple[bytes, tuple, tuple, list[int], d
lowered = ei.lower()
if ei.ast.op.name == 'SINK' and lowered.prg and lowered.prg.p.lib:
lib = bytes(lowered.prg.p.lib)
image = memoryview(bytearray(lib))
_, sections, _ = elf_loader(lib)
rodata_entry = next((sh.header.sh_addr for sh in sections if sh.name == ".rodata"), -1)
for sec in sections:
if sec.name == '.text':
buf_sizes = [b.nbytes for b in lowered.bufs]
@@ -122,67 +108,22 @@ def get_tinygrad_kernel(op_name: str) -> tuple[bytes, tuple, tuple, list[int], d
if hasattr(buf, 'base') and buf.base is not None and hasattr(buf.base, '_buf'):
try: buf_data[i] = bytes(buf.base._buf)
except: pass
return (bytes(sec.content), tuple(lowered.prg.p.global_size), tuple(lowered.prg.p.local_size), buf_sizes, buf_data)
# Extract rsrc2 from ELF (same as ops_amd.py)
group_segment_size = image[rodata_entry:rodata_entry+4].cast("I")[0]
lds_size = ((group_segment_size + 511) // 512) & 0x1FF
code = hsa.amd_kernel_code_t.from_buffer_copy(bytes(image[rodata_entry:rodata_entry+256]) + b'\x00'*256)
rsrc2 = code.compute_pgm_rsrc2 | (lds_size << 15)
return (bytes(sec.content), tuple(lowered.prg.p.global_size), tuple(lowered.prg.p.local_size), buf_sizes, buf_data, rsrc2)
return None
except Exception as e:
print(f" Error getting kernel: {e}")
return None
def profile_python_emu(kernel: bytes, global_size, local_size, args_ptr, n_runs: int = 1):
"""Profile the Python emulator to find bottlenecks."""
gx, gy, gz = global_size
lx, ly, lz = local_size
kernel_buf = (ctypes.c_char * len(kernel)).from_buffer_copy(kernel)
lib_ptr = ctypes.addressof(kernel_buf)
pr = cProfile.Profile()
pr.enable()
for _ in range(n_runs):
python_run_asm(lib_ptr, len(kernel), gx, gy, gz, lx, ly, lz, args_ptr)
pr.disable()
s = io.StringIO()
ps = pstats.Stats(pr, stream=s).sort_stats('cumulative')
ps.print_stats(20)
return s.getvalue()
def measure_step_rate(kernel: bytes, n_steps: int = 10000) -> float:
"""Measure raw step_wave() performance (steps per second)."""
program = decode_program(kernel)
if not program: return 0.0
st = WaveState()
st.exec_mask = 0xffffffff
lds = bytearray(65536)
n_lanes = 32
# Reset PC for each measurement
start = time.perf_counter()
for _ in range(n_steps):
st.pc = 0
while st.pc in program:
result = step_wave(program, st, lds, n_lanes)
if result == -1: break
elapsed = time.perf_counter() - start
return n_steps / elapsed if elapsed > 0 else 0
# Test configurations
SYNTHETIC_TESTS = [
("synthetic_10ops", 10, (1, 1, 1), (32, 1, 1)),
("synthetic_100ops", 100, (1, 1, 1), (32, 1, 1)),
("synthetic_500ops", 500, (1, 1, 1), (32, 1, 1)),
("synthetic_100ops_4wg", 100, (4, 1, 1), (32, 1, 1)),
("synthetic_100ops_16wg", 100, (16, 1, 1), (32, 1, 1)),
]
TINYGRAD_TESTS = ["add", "mul", "reduce_sum", "softmax", "exp", "gelu", "matmul_small"]
def main():
import argparse
parser = argparse.ArgumentParser(description="Benchmark RDNA3 emulators")
parser.add_argument("--profile", action="store_true", help="Profile Python emulator")
parser.add_argument("--synthetic-only", action="store_true", help="Only run synthetic tests")
parser.add_argument("--tinygrad-only", action="store_true", help="Only run tinygrad tests")
parser.add_argument("--iterations", type=int, default=3, help="Number of iterations per benchmark")
args = parser.parse_args()
@@ -197,98 +138,55 @@ def main():
results = []
# Synthetic workloads
if not args.tinygrad_only:
print("\n[SYNTHETIC WORKLOADS]")
print("-" * 90)
print("\n[TINYGRAD KERNELS]")
print("-" * 90)
for name, n_ops, global_size, local_size in SYNTHETIC_TESTS:
kernel = create_synthetic_kernel(n_ops)
n_insts = count_instructions(kernel)
n_workgroups = global_size[0] * global_size[1] * global_size[2]
n_threads = local_size[0] * local_size[1] * local_size[2]
total_work = n_insts * n_workgroups * n_threads
for op_name in TINYGRAD_TESTS:
print(f"\n{op_name}:", end=" ", flush=True)
kernel_info = get_tinygrad_kernel(op_name)
if kernel_info is None:
print("failed to compile")
continue
print(f"\n{name}: {n_insts} insts × {n_workgroups} WGs × {n_threads} threads = {total_work:,} ops")
kernel, global_size, local_size, buf_sizes, buf_data, rsrc2 = kernel_info
n_insts = count_instructions(kernel)
n_workgroups = global_size[0] * global_size[1] * global_size[2]
n_threads = local_size[0] * local_size[1] * local_size[2]
total_work = n_insts * n_workgroups * n_threads
buf_sizes = [4096]
buffers, args_arr, args_ptr, ranges = setup_buffers(buf_sizes)
set_valid_mem_ranges(ranges)
print(f"{n_insts} insts × {n_workgroups} WGs × {n_threads} threads = {total_work:,} ops")
# Benchmark
py_time = benchmark_emulator("Python", python_run_asm, kernel, global_size, local_size, args_ptr, args.iterations)
rust_time = benchmark_emulator("Rust", rust_remu.run_asm, kernel, global_size, local_size, args_ptr, args.iterations) if rust_remu else None
buffers, args_arr, args_ptr, ranges = setup_buffers(buf_sizes, buf_data)
set_valid_mem_ranges(ranges)
if py_time:
py_rate = total_work / py_time / 1e6
print(f" Python: {py_time*1000:8.3f} ms ({py_rate:7.2f} M ops/s)")
if rust_time:
rust_rate = total_work / rust_time / 1e6
speedup = py_time / rust_time if py_time else 0
print(f" Rust: {rust_time*1000:8.3f} ms ({rust_rate:7.2f} M ops/s) [{speedup:.1f}x faster]")
py_time = benchmark_emulator("Python", python_run_asm, kernel, global_size, local_size, args_ptr, rsrc2, args.iterations)
rust_time = benchmark_emulator("Rust", rust_remu.run_asm, kernel, global_size, local_size, args_ptr, rsrc2, args.iterations) if rust_remu else None
results.append(("synthetic", name, n_insts, n_workgroups, py_time, rust_time))
if py_time:
py_rate = total_work / py_time / 1e6
print(f" Python: {py_time*1000:8.3f} ms ({py_rate:7.2f} M ops/s)")
if rust_time:
rust_rate = total_work / rust_time / 1e6
speedup = py_time / rust_time if py_time else 0
print(f" Rust: {rust_time*1000:8.3f} ms ({rust_rate:7.2f} M ops/s) [{speedup:.1f}x faster]")
# Tinygrad kernels
if not args.synthetic_only:
print("\n[TINYGRAD KERNELS]")
print("-" * 90)
for op_name in TINYGRAD_TESTS:
print(f"\n{op_name}:", end=" ", flush=True)
kernel_info = get_tinygrad_kernel(op_name)
if kernel_info is None:
print("failed to compile")
continue
kernel, global_size, local_size, buf_sizes, buf_data = kernel_info
n_insts = count_instructions(kernel)
n_workgroups = global_size[0] * global_size[1] * global_size[2]
n_threads = local_size[0] * local_size[1] * local_size[2]
total_work = n_insts * n_workgroups * n_threads
print(f"{n_insts} insts × {n_workgroups} WGs × {n_threads} threads = {total_work:,} ops")
buffers, args_arr, args_ptr, ranges = setup_buffers(buf_sizes, buf_data)
set_valid_mem_ranges(ranges)
py_time = benchmark_emulator("Python", python_run_asm, kernel, global_size, local_size, args_ptr, args.iterations)
rust_time = benchmark_emulator("Rust", rust_remu.run_asm, kernel, global_size, local_size, args_ptr, args.iterations) if rust_remu else None
if py_time:
py_rate = total_work / py_time / 1e6
print(f" Python: {py_time*1000:8.3f} ms ({py_rate:7.2f} M ops/s)")
if rust_time:
rust_rate = total_work / rust_time / 1e6
speedup = py_time / rust_time if py_time else 0
print(f" Rust: {rust_time*1000:8.3f} ms ({rust_rate:7.2f} M ops/s) [{speedup:.1f}x faster]")
results.append(("tinygrad", op_name, n_insts, n_workgroups, py_time, rust_time))
# Optional profiling
if args.profile and py_time:
print("\n [PROFILE - Top 10 functions]")
profile_output = profile_python_emu(kernel, global_size, local_size, args_ptr)
for line in profile_output.split('\n')[5:15]:
if line.strip(): print(f" {line}")
results.append((op_name, n_insts, n_workgroups, py_time, rust_time))
# Summary table
print("\n" + "=" * 90)
print("SUMMARY")
print("=" * 90)
print(f"{'Type':<10} {'Name':<25} {'Insts':<8} {'WGs':<6} {'Python (ms)':<14} {'Rust (ms)':<14} {'Speedup':<10}")
print(f"{'Name':<25} {'Insts':<8} {'WGs':<6} {'Python (ms)':<14} {'Rust (ms)':<14} {'Speedup':<10}")
print("-" * 90)
for test_type, name, n_insts, n_wgs, py_time, rust_time in results:
for name, n_insts, n_wgs, py_time, rust_time in results:
py_ms = f"{py_time*1000:.3f}" if py_time else "error"
if rust_time:
rust_ms = f"{rust_time*1000:.3f}"
speedup = f"{py_time/rust_time:.1f}x" if py_time else "N/A"
else:
rust_ms, speedup = "N/A", "N/A"
print(f"{test_type:<10} {name:<25} {n_insts:<8} {n_wgs:<6} {py_ms:<14} {rust_ms:<14} {speedup:<10}")
print(f"{name:<25} {n_insts:<8} {n_wgs:<6} {py_ms:<14} {rust_ms:<14} {speedup:<10}")
if __name__ == "__main__":
main()
+3 -3
View File
@@ -30,8 +30,8 @@ def get_llvm_objdump():
class ExecContext:
"""Context for running compiled pseudocode in tests."""
def __init__(self, s0=0, s1=0, s2=0, d0=0, scc=0, vcc=0, lane=0, exec_mask=0xffffffff, literal=0, vgprs=None, src0_idx=0, vdst_idx=0):
from extra.assembly.amd.pcode import Reg, MASK32, MASK64, SliceProxy
self._Reg, self._MASK64, self._SliceProxy = Reg, MASK64, SliceProxy
from extra.assembly.amd.pcode import Reg, MASK32, MASK64, TypedView
self._Reg, self._MASK64, self._TypedView = Reg, MASK64, TypedView
self.S0, self.S1, self.S2 = Reg(s0), Reg(s1), Reg(s2)
self.D0, self.D1 = Reg(d0), Reg(0)
self.SCC, self.VCC, self.EXEC = Reg(scc), Reg(vcc), Reg(exec_mask)
@@ -51,7 +51,7 @@ class ExecContext:
ns.update({
'S0': self.S0, 'S1': self.S1, 'S2': self.S2, 'D0': self.D0, 'D1': self.D1,
'SCC': self.SCC, 'VCC': self.VCC, 'EXEC': self.EXEC,
'EXEC_LO': self._SliceProxy(self.EXEC, 31, 0), 'EXEC_HI': self._SliceProxy(self.EXEC, 63, 32),
'EXEC_LO': self._TypedView(self.EXEC, 31, 0), 'EXEC_HI': self._TypedView(self.EXEC, 63, 32),
'tmp': self.tmp, 'saveexec': self.saveexec,
'lane': self.lane, 'laneId': self.laneId, 'literal': self.literal,
'SIMM16': self.SIMM16, 'SIMM32': self.SIMM32, 'VGPR': self.VGPR, 'SRC0': self.SRC0, 'VDST': self.VDST,
+1
View File
@@ -0,0 +1 @@
"""Hardware-validated emulator tests for RDNA3 instructions."""
+221
View File
@@ -0,0 +1,221 @@
"""Test infrastructure for hardware-validated RDNA3 emulator tests.
Uses run_asm() with memory output, so tests can run on both emulator and real hardware.
Set USE_HW=1 to run on both emulator and real hardware, comparing results.
"""
import ctypes, os, struct
from extra.assembly.amd.autogen.rdna3.ins import *
from extra.assembly.amd.emu import WaveState, run_asm, set_valid_mem_ranges
from extra.assembly.amd.dsl import NULL, SCC, VCC_LO, VCC_HI, EXEC_LO, EXEC_HI, M0
from extra.assembly.amd.pcode import _i32, _f32
# For backwards compatibility with tests using SrcEnum.NULL etc.
class SrcEnum:
NULL = NULL
VCC_LO = VCC_LO
VCC_HI = VCC_HI
EXEC_LO = EXEC_LO
EXEC_HI = EXEC_HI
SCC = SCC
M0 = M0
POS_HALF = 0.5
NEG_HALF = -0.5
POS_ONE = 1.0
NEG_ONE = -1.0
POS_TWO = 2.0
NEG_TWO = -2.0
POS_FOUR = 4.0
NEG_FOUR = -4.0
VCC = VCC_LO # For VOP3SD sdst field (VCC_LO is exported from dsl)
USE_HW = os.environ.get("USE_HW", "0") == "1"
FLOAT_TOLERANCE = 1e-5
# Output buffer layout: vgpr[16][32], sgpr[16], vcc, scc
N_VGPRS, N_SGPRS, WAVE_SIZE = 16, 16, 32
VGPR_BYTES = N_VGPRS * WAVE_SIZE * 4 # 16 regs * 32 lanes * 4 bytes = 2048
SGPR_BYTES = N_SGPRS * 4 # 16 regs * 4 bytes = 64
OUT_BYTES = VGPR_BYTES + SGPR_BYTES + 8 # + vcc + scc
# Float conversion helpers
def f2i(f: float) -> int: return _i32(f)
def i2f(i: int) -> float: return _f32(i)
def f2i64(f: float) -> int: return struct.unpack('<Q', struct.pack('<d', f))[0]
def i642f(i: int) -> float: return struct.unpack('<d', struct.pack('<Q', i))[0]
def assemble(instructions: list) -> bytes:
return b''.join(inst.to_bytes() for inst in instructions)
def get_prologue_epilogue(n_lanes: int) -> tuple[list, list]:
"""Generate prologue and epilogue instructions for state capture."""
prologue = [
s_mov_b32(s[80], s[0]),
s_mov_b32(s[81], s[1]),
v_mov_b32_e32(v[255], v[0]),
]
for i in range(N_VGPRS):
prologue.append(v_mov_b32_e32(v[i], 0))
for i in range(N_SGPRS):
prologue.append(s_mov_b32(s[i], 0))
prologue.append(s_mov_b32(VCC_LO, 0))
epilogue = [
s_mov_b32(s[90], VCC_LO),
s_cselect_b32(s[91], 1, 0),
s_load_b64(s[92:93], s[80:81], 0, soffset=NULL),
s_waitcnt(0), # simm16=0 waits for all
v_lshlrev_b32_e32(v[240], 2, v[255]),
]
for i in range(N_VGPRS):
epilogue.append(global_store_b32(addr=v[240], data=v[i], saddr=s[92:93], offset=i * WAVE_SIZE * 4))
epilogue.append(v_mov_b32_e32(v[241], 0))
epilogue.append(v_cmp_eq_u32_e32(v[255], v[241]))
epilogue.append(s_and_saveexec_b32(s[94], VCC_LO))
epilogue.append(v_mov_b32_e32(v[240], 0))
for i in range(N_SGPRS):
epilogue.append(v_mov_b32_e32(v[243], s[i]))
epilogue.append(global_store_b32(addr=v[240], data=v[243], saddr=s[92:93], offset=VGPR_BYTES + i * 4))
epilogue.append(v_mov_b32_e32(v[243], s[90]))
epilogue.append(global_store_b32(addr=v[240], data=v[243], saddr=s[92:93], offset=VGPR_BYTES + SGPR_BYTES))
epilogue.append(v_mov_b32_e32(v[243], s[91]))
epilogue.append(global_store_b32(addr=v[240], data=v[243], saddr=s[92:93], offset=VGPR_BYTES + SGPR_BYTES + 4))
epilogue.append(s_mov_b32(EXEC_LO, s[94]))
epilogue.append(s_endpgm())
return prologue, epilogue
def parse_output(out_buf: bytes, n_lanes: int) -> WaveState:
"""Parse output buffer into WaveState."""
st = WaveState()
for i in range(N_VGPRS):
for lane in range(n_lanes):
off = i * WAVE_SIZE * 4 + lane * 4
st.vgpr[lane][i] = struct.unpack_from('<I', out_buf, off)[0]
for i in range(N_SGPRS):
st.sgpr[i] = struct.unpack_from('<I', out_buf, VGPR_BYTES + i * 4)[0]
st.vcc = struct.unpack_from('<I', out_buf, VGPR_BYTES + SGPR_BYTES)[0]
st.scc = struct.unpack_from('<I', out_buf, VGPR_BYTES + SGPR_BYTES + 4)[0]
return st
def run_program_emu(instructions: list, n_lanes: int = 1) -> WaveState:
"""Run instructions via emulator run_asm, dump state to memory, return WaveState."""
out_buf = (ctypes.c_uint8 * OUT_BYTES)(*([0] * OUT_BYTES))
out_addr = ctypes.addressof(out_buf)
prologue, epilogue = get_prologue_epilogue(n_lanes)
code = assemble(prologue + instructions + epilogue)
args = (ctypes.c_uint64 * 1)(out_addr)
args_ptr = ctypes.addressof(args)
kernel_buf = (ctypes.c_char * len(code)).from_buffer_copy(code)
lib_ptr = ctypes.addressof(kernel_buf)
set_valid_mem_ranges({(out_addr, OUT_BYTES), (args_ptr, 8)})
# rsrc2: USER_SGPR_COUNT=2, ENABLE_SGPR_WORKGROUP_ID_X/Y/Z=1, LDS_SIZE=128 (64KB)
rsrc2 = 0x19c | (128 << 15)
result = run_asm(lib_ptr, len(code), 1, 1, 1, n_lanes, 1, 1, args_ptr, rsrc2)
assert result == 0, f"run_asm failed with {result}"
return parse_output(bytes(out_buf), n_lanes)
def run_program_hw(instructions: list, n_lanes: int = 1) -> WaveState:
"""Run instructions on real AMD hardware via HIPCompiler and AMDProgram."""
from tinygrad.device import Device
from tinygrad.runtime.ops_amd import AMDProgram
from tinygrad.runtime.support.compiler_amd import HIPCompiler
from tinygrad.helpers import flat_mv
dev = Device["AMD"]
compiler = HIPCompiler(dev.arch)
prologue, epilogue = get_prologue_epilogue(n_lanes)
code = assemble(prologue + instructions + epilogue)
byte_str = ', '.join(f'0x{b:02x}' for b in code)
asm_src = f""".text
.globl test
.p2align 8
.type test,@function
test:
.byte {byte_str}
.rodata
.p2align 6
.amdhsa_kernel test
.amdhsa_next_free_vgpr 256
.amdhsa_next_free_sgpr 96
.amdhsa_wavefront_size32 1
.amdhsa_user_sgpr_kernarg_segment_ptr 1
.amdhsa_kernarg_size 8
.amdhsa_group_segment_fixed_size 65536
.end_amdhsa_kernel
.amdgpu_metadata
---
amdhsa.version:
- 1
- 0
amdhsa.kernels:
- .name: test
.symbol: test.kd
.kernarg_segment_size: 8
.group_segment_fixed_size: 65536
.private_segment_fixed_size: 0
.kernarg_segment_align: 8
.wavefront_size: 32
.sgpr_count: 96
.vgpr_count: 256
.max_flat_workgroup_size: 1024
...
.end_amdgpu_metadata
"""
lib = compiler.compile(asm_src)
prg = AMDProgram(dev, "test", lib)
out_gpu = dev.allocator.alloc(OUT_BYTES)
prg(out_gpu, global_size=(1, 1, 1), local_size=(n_lanes, 1, 1), wait=True)
out_buf = bytearray(OUT_BYTES)
dev.allocator._copyout(flat_mv(memoryview(out_buf)), out_gpu)
return parse_output(bytes(out_buf), n_lanes)
def compare_wave_states(emu_st: WaveState, hw_st: WaveState, n_lanes: int, n_vgprs: int = N_VGPRS) -> list[str]:
"""Compare two WaveStates and return list of differences."""
import math
diffs = []
for i in range(n_vgprs):
for lane in range(n_lanes):
emu_val = emu_st.vgpr[lane][i]
hw_val = hw_st.vgpr[lane][i]
if emu_val != hw_val:
emu_f, hw_f = _f32(emu_val), _f32(hw_val)
if math.isnan(emu_f) and math.isnan(hw_f):
continue
diffs.append(f"v[{i}] lane {lane}: emu=0x{emu_val:08x} ({emu_f:.6g}) hw=0x{hw_val:08x} ({hw_f:.6g})")
for i in range(N_SGPRS):
emu_val = emu_st.sgpr[i]
hw_val = hw_st.sgpr[i]
if emu_val != hw_val:
diffs.append(f"s[{i}]: emu=0x{emu_val:08x} hw=0x{hw_val:08x}")
if emu_st.vcc != hw_st.vcc:
diffs.append(f"vcc: emu=0x{emu_st.vcc:08x} hw=0x{hw_st.vcc:08x}")
if emu_st.scc != hw_st.scc:
diffs.append(f"scc: emu={emu_st.scc} hw={hw_st.scc}")
return diffs
def run_program(instructions: list, n_lanes: int = 1) -> WaveState:
"""Run instructions and return WaveState.
If USE_HW=1, runs on both emulator and hardware, compares results, and raises if they differ.
Otherwise, runs only on emulator.
"""
emu_st = run_program_emu(instructions, n_lanes)
if USE_HW:
hw_st = run_program_hw(instructions, n_lanes)
diffs = compare_wave_states(emu_st, hw_st, n_lanes)
if diffs:
raise AssertionError(f"Emulator vs Hardware mismatch:\n" + "\n".join(diffs))
return hw_st
return emu_st
+629
View File
@@ -0,0 +1,629 @@
"""Tests for DS instructions - data share (LDS) operations.
Includes: ds_store_b32, ds_load_b32, ds_store_2addr_*, ds_load_2addr_*,
ds_add_*, ds_max_*, ds_min_*, ds_and_*, ds_or_*, ds_xor_*,
ds_inc_*, ds_dec_*, ds_cmpstore_*, ds_storexchg_*
"""
import unittest
from extra.assembly.amd.test.hw.helpers import *
class TestDS2Addr(unittest.TestCase):
"""Tests for DS_*_2ADDR instructions."""
def test_ds_store_load_2addr_b32(self):
"""DS_STORE_2ADDR_B32 and DS_LOAD_2ADDR_B32 with offset * 4."""
instructions = [
v_mov_b32_e32(v[10], 0),
s_mov_b32(s[0], 0xAAAAAAAA),
v_mov_b32_e32(v[0], s[0]),
s_mov_b32(s[0], 0xBBBBBBBB),
v_mov_b32_e32(v[1], s[0]),
DS(DSOp.DS_STORE_2ADDR_B32, addr=v[10], data0=v[0], data1=v[1], vdst=v[0], offset0=0, offset1=1),
s_waitcnt(lgkmcnt=0),
DS(DSOp.DS_LOAD_2ADDR_B32, addr=v[10], vdst=v[2:3], offset0=0, offset1=1),
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][2], 0xAAAAAAAA)
self.assertEqual(st.vgpr[0][3], 0xBBBBBBBB)
def test_ds_store_load_2addr_b64(self):
"""DS_STORE_2ADDR_B64 and DS_LOAD_2ADDR_B64."""
instructions = [
v_mov_b32_e32(v[10], 0),
s_mov_b32(s[0], 0xDEADBEEF),
v_mov_b32_e32(v[0], s[0]),
s_mov_b32(s[0], 0xCAFEBABE),
v_mov_b32_e32(v[1], s[0]),
s_mov_b32(s[0], 0x12345678),
v_mov_b32_e32(v[2], s[0]),
s_mov_b32(s[0], 0x9ABCDEF0),
v_mov_b32_e32(v[3], s[0]),
DS(DSOp.DS_STORE_2ADDR_B64, addr=v[10], data0=v[0:1], data1=v[2:3], vdst=v[0], offset0=0, offset1=2),
s_waitcnt(lgkmcnt=0),
DS(DSOp.DS_LOAD_2ADDR_B64, addr=v[10], vdst=v[4:7], offset0=0, offset1=2),
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][4], 0xDEADBEEF)
self.assertEqual(st.vgpr[0][5], 0xCAFEBABE)
self.assertEqual(st.vgpr[0][6], 0x12345678)
self.assertEqual(st.vgpr[0][7], 0x9ABCDEF0)
class TestDS2AddrMore(unittest.TestCase):
"""Additional DS_*_2ADDR tests."""
def test_ds_store_load_2addr_b32_nonzero_offsets(self):
"""DS_STORE_2ADDR_B32 with non-zero offsets (offset*4 scaling)."""
instructions = [
v_mov_b32_e32(v[10], 0),
s_mov_b32(s[2], 0x11111111),
v_mov_b32_e32(v[0], s[2]),
s_mov_b32(s[2], 0x22222222),
v_mov_b32_e32(v[1], s[2]),
DS(DSOp.DS_STORE_2ADDR_B32, addr=v[10], data0=v[0], data1=v[1], vdst=v[0], offset0=2, offset1=5),
s_waitcnt(lgkmcnt=0),
DS(DSOp.DS_LOAD_2ADDR_B32, addr=v[10], vdst=v[2:3], offset0=2, offset1=5),
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][2], 0x11111111, "v2 should have value from offset 8 (2*4)")
self.assertEqual(st.vgpr[0][3], 0x22222222, "v3 should have value from offset 20 (5*4)")
def test_ds_2addr_b64_no_overlap(self):
"""DS_LOAD_2ADDR_B64 with adjacent offsets should not overlap."""
instructions = [
v_mov_b32_e32(v[10], 0),
s_mov_b32(s[2], 0x11111111),
v_mov_b32_e32(v[0], s[2]),
ds_store_b32(addr=v[10], data0=v[0], offset0=0),
s_mov_b32(s[2], 0x22222222),
v_mov_b32_e32(v[0], s[2]),
ds_store_b32(addr=v[10], data0=v[0], offset0=4),
s_mov_b32(s[2], 0x33333333),
v_mov_b32_e32(v[0], s[2]),
ds_store_b32(addr=v[10], data0=v[0], offset0=8),
s_mov_b32(s[2], 0x44444444),
v_mov_b32_e32(v[0], s[2]),
ds_store_b32(addr=v[10], data0=v[0], offset0=12),
s_waitcnt(lgkmcnt=0),
DS(DSOp.DS_LOAD_2ADDR_B64, addr=v[10], vdst=v[4:7], offset0=0, offset1=1),
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][4], 0x11111111, "v4 should be 0x11111111")
self.assertEqual(st.vgpr[0][5], 0x22222222, "v5 should be 0x22222222")
self.assertEqual(st.vgpr[0][6], 0x33333333, "v6 should be 0x33333333")
self.assertEqual(st.vgpr[0][7], 0x44444444, "v7 should be 0x44444444")
def test_ds_load_2addr_b32_no_overwrite(self):
"""DS_LOAD_2ADDR_B32 should only write 2 VGPRs."""
instructions = [
v_mov_b32_e32(v[10], 0),
s_mov_b32(s[2], 0xAAAAAAAA),
v_mov_b32_e32(v[0], s[2]),
s_mov_b32(s[2], 0xBBBBBBBB),
v_mov_b32_e32(v[1], s[2]),
DS(DSOp.DS_STORE_2ADDR_B32, addr=v[10], data0=v[0], data1=v[1], vdst=v[0], offset0=0, offset1=1),
s_waitcnt(lgkmcnt=0),
s_mov_b32(s[2], 0xDEADBEEF),
v_mov_b32_e32(v[4], s[2]), # Sentinel
DS(DSOp.DS_LOAD_2ADDR_B32, addr=v[10], vdst=v[2:3], offset0=0, offset1=1),
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][2], 0xAAAAAAAA)
self.assertEqual(st.vgpr[0][3], 0xBBBBBBBB)
self.assertEqual(st.vgpr[0][4], 0xDEADBEEF, "v4 should be untouched")
def test_ds_load_b64_no_overwrite(self):
"""DS_LOAD_B64 should only write 2 VGPRs."""
instructions = [
v_mov_b32_e32(v[10], 0),
s_mov_b32(s[2], 0xDEADBEEF),
v_mov_b32_e32(v[0], s[2]),
s_mov_b32(s[2], 0xCAFEBABE),
v_mov_b32_e32(v[1], s[2]),
ds_store_b64(addr=v[10], data0=v[0:1], offset0=0),
s_waitcnt(lgkmcnt=0),
s_mov_b32(s[2], 0x12345678),
v_mov_b32_e32(v[4], s[2]), # Sentinel
ds_load_b64(addr=v[10], vdst=v[2:3], offset0=0),
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][2], 0xDEADBEEF)
self.assertEqual(st.vgpr[0][3], 0xCAFEBABE)
self.assertEqual(st.vgpr[0][4], 0x12345678, "v4 should be untouched")
class TestDSAtomic(unittest.TestCase):
"""Tests for DS atomic operations."""
def test_ds_max_rtn_u32(self):
"""DS_MAX_RTN_U32: atomically store max and return old value."""
instructions = [
v_mov_b32_e32(v[10], 0),
s_mov_b32(s[2], 100),
v_mov_b32_e32(v[0], s[2]),
ds_store_b32(addr=v[10], data0=v[0], offset0=0),
s_waitcnt(lgkmcnt=0),
s_mov_b32(s[2], 200),
v_mov_b32_e32(v[1], s[2]),
ds_max_rtn_u32(addr=v[10], data0=v[1], vdst=v[2], offset0=0),
s_waitcnt(lgkmcnt=0),
ds_load_b32(addr=v[10], vdst=v[3], offset0=0),
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][2], 100, "v2 should have old value (100)")
self.assertEqual(st.vgpr[0][3], 200, "v3 should have max(100, 200) = 200")
def test_ds_min_rtn_u32(self):
"""DS_MIN_RTN_U32: atomically store min and return old value."""
instructions = [
v_mov_b32_e32(v[10], 0),
s_mov_b32(s[2], 200),
v_mov_b32_e32(v[0], s[2]),
ds_store_b32(addr=v[10], data0=v[0], offset0=0),
s_waitcnt(lgkmcnt=0),
s_mov_b32(s[2], 100),
v_mov_b32_e32(v[1], s[2]),
ds_min_rtn_u32(addr=v[10], data0=v[1], vdst=v[2], offset0=0),
s_waitcnt(lgkmcnt=0),
ds_load_b32(addr=v[10], vdst=v[3], offset0=0),
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][2], 200)
self.assertEqual(st.vgpr[0][3], 100)
def test_ds_and_rtn_b32(self):
"""DS_AND_RTN_B32: atomically AND and return old value."""
instructions = [
v_mov_b32_e32(v[10], 0),
s_mov_b32(s[2], 0xFF00FF00),
v_mov_b32_e32(v[0], s[2]),
ds_store_b32(addr=v[10], data0=v[0], offset0=0),
s_waitcnt(lgkmcnt=0),
s_mov_b32(s[2], 0xFFFF0000),
v_mov_b32_e32(v[1], s[2]),
ds_and_rtn_b32(addr=v[10], data0=v[1], vdst=v[2], offset0=0),
s_waitcnt(lgkmcnt=0),
ds_load_b32(addr=v[10], vdst=v[3], offset0=0),
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][2], 0xFF00FF00)
self.assertEqual(st.vgpr[0][3], 0xFF000000)
def test_ds_or_rtn_b32(self):
"""DS_OR_RTN_B32: atomically OR and return old value."""
instructions = [
v_mov_b32_e32(v[10], 0),
s_mov_b32(s[2], 0x00FF0000),
v_mov_b32_e32(v[0], s[2]),
ds_store_b32(addr=v[10], data0=v[0], offset0=0),
s_waitcnt(lgkmcnt=0),
s_mov_b32(s[2], 0x000000FF),
v_mov_b32_e32(v[1], s[2]),
ds_or_rtn_b32(addr=v[10], data0=v[1], vdst=v[2], offset0=0),
s_waitcnt(lgkmcnt=0),
ds_load_b32(addr=v[10], vdst=v[3], offset0=0),
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][2], 0x00FF0000)
self.assertEqual(st.vgpr[0][3], 0x00FF00FF)
def test_ds_xor_rtn_b32(self):
"""DS_XOR_RTN_B32: atomically XOR and return old value."""
instructions = [
v_mov_b32_e32(v[10], 0),
s_mov_b32(s[2], 0xAAAAAAAA),
v_mov_b32_e32(v[0], s[2]),
ds_store_b32(addr=v[10], data0=v[0], offset0=0),
s_waitcnt(lgkmcnt=0),
s_mov_b32(s[2], 0xFFFFFFFF),
v_mov_b32_e32(v[1], s[2]),
ds_xor_rtn_b32(addr=v[10], data0=v[1], vdst=v[2], offset0=0),
s_waitcnt(lgkmcnt=0),
ds_load_b32(addr=v[10], vdst=v[3], offset0=0),
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][2], 0xAAAAAAAA)
self.assertEqual(st.vgpr[0][3], 0x55555555)
def test_ds_inc_rtn_u32(self):
"""DS_INC_RTN_U32: increment with wrap."""
instructions = [
v_mov_b32_e32(v[10], 0),
s_mov_b32(s[2], 5),
v_mov_b32_e32(v[0], s[2]),
ds_store_b32(addr=v[10], data0=v[0], offset0=0),
s_waitcnt(lgkmcnt=0),
s_mov_b32(s[2], 10), # limit
v_mov_b32_e32(v[1], s[2]),
ds_inc_rtn_u32(addr=v[10], data0=v[1], vdst=v[2], offset0=0),
s_waitcnt(lgkmcnt=0),
ds_load_b32(addr=v[10], vdst=v[3], offset0=0),
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][2], 5)
self.assertEqual(st.vgpr[0][3], 6)
def test_ds_dec_rtn_u32(self):
"""DS_DEC_RTN_U32: decrement with wrap."""
instructions = [
v_mov_b32_e32(v[10], 0),
s_mov_b32(s[2], 5),
v_mov_b32_e32(v[0], s[2]),
ds_store_b32(addr=v[10], data0=v[0], offset0=0),
s_waitcnt(lgkmcnt=0),
s_mov_b32(s[2], 10), # limit
v_mov_b32_e32(v[1], s[2]),
ds_dec_rtn_u32(addr=v[10], data0=v[1], vdst=v[2], offset0=0),
s_waitcnt(lgkmcnt=0),
ds_load_b32(addr=v[10], vdst=v[3], offset0=0),
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][2], 5)
self.assertEqual(st.vgpr[0][3], 4)
def test_ds_cmpstore_b32_match(self):
"""DS_CMPSTORE_B32: conditional store when compare matches."""
instructions = [
v_mov_b32_e32(v[10], 0),
s_mov_b32(s[2], 100),
v_mov_b32_e32(v[0], s[2]),
ds_store_b32(addr=v[10], data0=v[0], offset0=0),
s_waitcnt(lgkmcnt=0),
s_mov_b32(s[2], 200),
v_mov_b32_e32(v[1], s[2]), # new value
s_mov_b32(s[2], 100),
v_mov_b32_e32(v[2], s[2]), # compare = 100 (matches)
ds_cmpstore_b32(addr=v[10], data0=v[1], data1=v[2], vdst=v[3], offset0=0),
s_waitcnt(lgkmcnt=0),
ds_load_b32(addr=v[10], vdst=v[4], offset0=0),
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][4], 200)
def test_ds_cmpstore_b32_no_match(self):
"""DS_CMPSTORE_B32: no store when compare doesn't match."""
instructions = [
v_mov_b32_e32(v[10], 0),
s_mov_b32(s[2], 100),
v_mov_b32_e32(v[0], s[2]),
ds_store_b32(addr=v[10], data0=v[0], offset0=0),
s_waitcnt(lgkmcnt=0),
s_mov_b32(s[2], 200),
v_mov_b32_e32(v[1], s[2]), # new value
s_mov_b32(s[2], 50),
v_mov_b32_e32(v[2], s[2]), # compare = 50 (doesn't match)
ds_cmpstore_b32(addr=v[10], data0=v[1], data1=v[2], vdst=v[3], offset0=0),
s_waitcnt(lgkmcnt=0),
ds_load_b32(addr=v[10], vdst=v[4], offset0=0),
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][4], 100)
def test_ds_max_u32_no_rtn(self):
"""DS_MAX_U32 (no RTN): atomically store max, no return value."""
instructions = [
v_mov_b32_e32(v[10], 0),
s_mov_b32(s[2], 100),
v_mov_b32_e32(v[0], s[2]),
ds_store_b32(addr=v[10], data0=v[0], offset0=0),
s_waitcnt(lgkmcnt=0),
s_mov_b32(s[2], 200),
v_mov_b32_e32(v[1], s[2]),
ds_max_u32(addr=v[10], data0=v[1], vdst=v[2], offset0=0),
s_waitcnt(lgkmcnt=0),
ds_load_b32(addr=v[10], vdst=v[3], offset0=0),
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][3], 200, "v3 should have max(100, 200) = 200")
def test_ds_add_u32_no_rtn_preserves_vdst(self):
"""DS_ADD_U32 (no RTN) should NOT write to vdst."""
instructions = [
v_mov_b32_e32(v[10], 0),
s_mov_b32(s[2], 0xDEADBEEF),
v_mov_b32_e32(v[2], s[2]), # sentinel
s_mov_b32(s[2], 100),
v_mov_b32_e32(v[0], s[2]),
ds_store_b32(addr=v[10], data0=v[0], offset0=0),
s_waitcnt(lgkmcnt=0),
s_mov_b32(s[2], 50),
v_mov_b32_e32(v[1], s[2]),
ds_add_u32(addr=v[10], data0=v[1], vdst=v[2], offset0=0),
s_waitcnt(lgkmcnt=0),
ds_load_b32(addr=v[10], vdst=v[3], offset0=0),
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][2], 0xDEADBEEF, "v2 should preserve sentinel")
self.assertEqual(st.vgpr[0][3], 150, "v3 should have 100 + 50 = 150")
def test_ds_add_rtn_u32_writes_vdst(self):
"""DS_ADD_RTN_U32 should write old value to vdst."""
instructions = [
v_mov_b32_e32(v[10], 0),
s_mov_b32(s[2], 0xDEADBEEF),
v_mov_b32_e32(v[2], s[2]), # sentinel
s_mov_b32(s[2], 100),
v_mov_b32_e32(v[0], s[2]),
ds_store_b32(addr=v[10], data0=v[0], offset0=0),
s_waitcnt(lgkmcnt=0),
s_mov_b32(s[2], 50),
v_mov_b32_e32(v[1], s[2]),
ds_add_rtn_u32(addr=v[10], data0=v[1], vdst=v[2], offset0=0),
s_waitcnt(lgkmcnt=0),
ds_load_b32(addr=v[10], vdst=v[3], offset0=0),
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][2], 100, "v2 should have old value (100)")
self.assertEqual(st.vgpr[0][3], 150, "v3 should have 100 + 50 = 150")
def test_ds_dec_rtn_u32_wrap(self):
"""DS_DEC_RTN_U32: decrement wraps when value is 0 or > limit."""
instructions = [
v_mov_b32_e32(v[10], 0),
s_mov_b32(s[2], 0), # Start at 0
v_mov_b32_e32(v[0], s[2]),
ds_store_b32(addr=v[10], data0=v[0], offset0=0),
s_waitcnt(lgkmcnt=0),
s_mov_b32(s[2], 10), # limit
v_mov_b32_e32(v[1], s[2]),
ds_dec_rtn_u32(addr=v[10], data0=v[1], vdst=v[2], offset0=0),
s_waitcnt(lgkmcnt=0),
ds_load_b32(addr=v[10], vdst=v[3], offset0=0),
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][2], 0, "v2 should have old value (0)")
# When mem == 0 or mem > limit, result = limit
self.assertEqual(st.vgpr[0][3], 10, "v3 should wrap to limit (10)")
class TestDSStorexchg(unittest.TestCase):
"""Tests for DS_STOREXCHG instructions."""
def test_ds_storexchg_rtn_b32(self):
"""DS_STOREXCHG_RTN_B32: exchange value and return old."""
instructions = [
v_mov_b32_e32(v[10], 0),
s_mov_b32(s[0], 0xAAAAAAAA),
v_mov_b32_e32(v[0], s[0]),
ds_store_b32(addr=v[10], data0=v[0], offset0=0),
s_waitcnt(lgkmcnt=0),
s_mov_b32(s[0], 0xBBBBBBBB),
v_mov_b32_e32(v[1], s[0]),
DS(DSOp.DS_STOREXCHG_RTN_B32, addr=v[10], data0=v[1], vdst=v[2], offset0=0),
s_waitcnt(lgkmcnt=0),
ds_load_b32(addr=v[10], vdst=v[3], offset0=0),
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][2], 0xAAAAAAAA)
self.assertEqual(st.vgpr[0][3], 0xBBBBBBBB)
class TestDSRegisterWidth(unittest.TestCase):
"""Regression tests: DS loads should only write correct number of VGPRs."""
def test_ds_load_b32_no_overwrite(self):
"""DS_LOAD_B32 should only write 1 VGPR."""
instructions = [
v_mov_b32_e32(v[0], 0),
s_mov_b32(s[0], 0xDEADBEEF),
v_mov_b32_e32(v[1], s[0]),
s_mov_b32(s[0], 0x11111111),
v_mov_b32_e32(v[2], s[0]), # sentinel
ds_store_b32(addr=v[0], data0=v[1], offset0=0),
s_waitcnt(lgkmcnt=0),
ds_load_b32(addr=v[0], vdst=v[1], offset0=0),
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][1], 0xDEADBEEF)
self.assertEqual(st.vgpr[0][2], 0x11111111, "v2 should be untouched")
class TestDS2AddrStride64(unittest.TestCase):
"""Tests for DS_*_2ADDR_STRIDE64 (offset * 256 for B32, offset * 512 for B64)."""
def test_ds_store_load_2addr_stride64_b32(self):
"""DS_STORE_2ADDR_STRIDE64_B32: stores at ADDR + offset*256."""
instructions = [
v_mov_b32_e32(v[10], 0),
s_mov_b32(s[0], 0xAAAAAAAA),
v_mov_b32_e32(v[0], s[0]),
s_mov_b32(s[0], 0xBBBBBBBB),
v_mov_b32_e32(v[1], s[0]),
DS(DSOp.DS_STORE_2ADDR_STRIDE64_B32, addr=v[10], data0=v[0], data1=v[1], vdst=v[0], offset0=1, offset1=2),
s_waitcnt(lgkmcnt=0),
DS(DSOp.DS_LOAD_2ADDR_STRIDE64_B32, addr=v[10], vdst=v[2:3], offset0=1, offset1=2),
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][2], 0xAAAAAAAA, "v2 from addr 256")
self.assertEqual(st.vgpr[0][3], 0xBBBBBBBB, "v3 from addr 512")
def test_ds_store_load_2addr_stride64_b64(self):
"""DS_STORE_2ADDR_STRIDE64_B64: stores at ADDR + offset*512."""
instructions = [
v_mov_b32_e32(v[10], 0),
s_mov_b32(s[0], 0xDEADBEEF),
v_mov_b32_e32(v[0], s[0]),
s_mov_b32(s[0], 0xCAFEBABE),
v_mov_b32_e32(v[1], s[0]),
s_mov_b32(s[0], 0x12345678),
v_mov_b32_e32(v[2], s[0]),
s_mov_b32(s[0], 0x9ABCDEF0),
v_mov_b32_e32(v[3], s[0]),
DS(DSOp.DS_STORE_2ADDR_STRIDE64_B64, addr=v[10], data0=v[0:1], data1=v[2:3], vdst=v[0], offset0=1, offset1=2),
s_waitcnt(lgkmcnt=0),
DS(DSOp.DS_LOAD_2ADDR_STRIDE64_B64, addr=v[10], vdst=v[4:7], offset0=1, offset1=2),
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][4], 0xDEADBEEF)
self.assertEqual(st.vgpr[0][5], 0xCAFEBABE)
self.assertEqual(st.vgpr[0][6], 0x12345678)
self.assertEqual(st.vgpr[0][7], 0x9ABCDEF0)
def test_ds_storexchg_2addr_rtn_b32(self):
"""DS_STOREXCHG_2ADDR_RTN_B32: exchange at two addresses."""
instructions = [
v_mov_b32_e32(v[10], 0),
s_mov_b32(s[0], 0x11111111),
v_mov_b32_e32(v[0], s[0]),
s_mov_b32(s[0], 0x22222222),
v_mov_b32_e32(v[1], s[0]),
DS(DSOp.DS_STORE_2ADDR_B32, addr=v[10], data0=v[0], data1=v[1], vdst=v[0], offset0=0, offset1=1),
s_waitcnt(lgkmcnt=0),
s_mov_b32(s[0], 0xAAAAAAAA),
v_mov_b32_e32(v[2], s[0]),
s_mov_b32(s[0], 0xBBBBBBBB),
v_mov_b32_e32(v[3], s[0]),
DS(DSOp.DS_STOREXCHG_2ADDR_RTN_B32, addr=v[10], data0=v[2], data1=v[3], vdst=v[4:5], offset0=0, offset1=1),
s_waitcnt(lgkmcnt=0),
DS(DSOp.DS_LOAD_2ADDR_B32, addr=v[10], vdst=v[6:7], offset0=0, offset1=1),
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][4], 0x11111111, "old val 0")
self.assertEqual(st.vgpr[0][5], 0x22222222, "old val 1")
self.assertEqual(st.vgpr[0][6], 0xAAAAAAAA, "new val 0")
self.assertEqual(st.vgpr[0][7], 0xBBBBBBBB, "new val 1")
def test_ds_storexchg_rtn_b64(self):
"""DS_STOREXCHG_RTN_B64: exchange 64-bit value and return old."""
instructions = [
v_mov_b32_e32(v[10], 0),
s_mov_b32(s[0], 0xDEADBEEF),
v_mov_b32_e32(v[0], s[0]), # initial low
s_mov_b32(s[0], 0xCAFEBABE),
v_mov_b32_e32(v[1], s[0]), # initial high
DS(DSOp.DS_STORE_B64, addr=v[10], data0=v[0:1], vdst=v[0], offset0=0),
s_waitcnt(lgkmcnt=0),
s_mov_b32(s[0], 0x12345678),
v_mov_b32_e32(v[2], s[0]), # new low
s_mov_b32(s[0], 0x9ABCDEF0),
v_mov_b32_e32(v[3], s[0]), # new high
DS(DSOp.DS_STOREXCHG_RTN_B64, addr=v[10], data0=v[2:3], vdst=v[4:5], offset0=0),
s_waitcnt(lgkmcnt=0),
DS(DSOp.DS_LOAD_B64, addr=v[10], vdst=v[6:7], offset0=0),
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][4], 0xDEADBEEF, "v4 should have old low dword")
self.assertEqual(st.vgpr[0][5], 0xCAFEBABE, "v5 should have old high dword")
self.assertEqual(st.vgpr[0][6], 0x12345678, "v6 should have new low dword")
self.assertEqual(st.vgpr[0][7], 0x9ABCDEF0, "v7 should have new high dword")
def test_ds_store_load_2addr_stride64_b64_roundtrip(self):
"""DS_STORE_2ADDR_STRIDE64_B64 followed by DS_LOAD_2ADDR_STRIDE64_B64 works correctly."""
instructions = [
v_mov_b32_e32(v[10], 0),
s_mov_b32(s[0], 0x11111111),
v_mov_b32_e32(v[0], s[0]),
s_mov_b32(s[0], 0x22222222),
v_mov_b32_e32(v[1], s[0]),
DS(DSOp.DS_STORE_2ADDR_STRIDE64_B64, addr=v[10], data0=v[0:1], data1=v[0:1], vdst=v[0], offset0=1, offset1=2),
s_waitcnt(lgkmcnt=0),
DS(DSOp.DS_LOAD_2ADDR_STRIDE64_B64, addr=v[10], vdst=v[2:5], offset0=1, offset1=2),
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][2], 0x11111111, "v2 should have val1 low")
self.assertEqual(st.vgpr[0][3], 0x22222222, "v3 should have val1 high")
self.assertEqual(st.vgpr[0][4], 0x11111111, "v4 should have val2 low")
self.assertEqual(st.vgpr[0][5], 0x22222222, "v5 should have val2 high")
def test_ds_storexchg_2addr_stride64_rtn_b32(self):
"""DS_STOREXCHG_2ADDR_STRIDE64_RTN_B32: exchange at two addresses (offset*256)."""
instructions = [
v_mov_b32_e32(v[10], 0),
s_mov_b32(s[0], 0x11111111),
v_mov_b32_e32(v[0], s[0]),
s_mov_b32(s[0], 0x22222222),
v_mov_b32_e32(v[1], s[0]),
DS(DSOp.DS_STORE_2ADDR_STRIDE64_B32, addr=v[10], data0=v[0], data1=v[1], vdst=v[0], offset0=1, offset1=2),
s_waitcnt(lgkmcnt=0),
s_mov_b32(s[0], 0xAAAAAAAA),
v_mov_b32_e32(v[2], s[0]),
s_mov_b32(s[0], 0xBBBBBBBB),
v_mov_b32_e32(v[3], s[0]),
DS(DSOp.DS_STOREXCHG_2ADDR_STRIDE64_RTN_B32, addr=v[10], data0=v[2], data1=v[3], vdst=v[4:5], offset0=1, offset1=2),
s_waitcnt(lgkmcnt=0),
DS(DSOp.DS_LOAD_2ADDR_STRIDE64_B32, addr=v[10], vdst=v[6:7], offset0=1, offset1=2),
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][4], 0x11111111, "v4 should have old value")
self.assertEqual(st.vgpr[0][5], 0x22222222, "v5 should have old value")
self.assertEqual(st.vgpr[0][6], 0xAAAAAAAA, "v6 should have new value")
self.assertEqual(st.vgpr[0][7], 0xBBBBBBBB, "v7 should have new value")
def test_ds_storexchg_2addr_stride64_rtn_b64_returns_old(self):
"""DS_STOREXCHG_2ADDR_STRIDE64_RTN_B64: returns old values correctly."""
instructions = [
v_mov_b32_e32(v[10], 0),
s_mov_b32(s[0], 0x11111111),
v_mov_b32_e32(v[0], s[0]),
s_mov_b32(s[0], 0x22222222),
v_mov_b32_e32(v[1], s[0]),
DS(DSOp.DS_STORE_2ADDR_STRIDE64_B64, addr=v[10], data0=v[0:1], data1=v[0:1], vdst=v[0], offset0=1, offset1=2),
s_waitcnt(lgkmcnt=0),
s_mov_b32(s[0], 0xAAAAAAAA),
v_mov_b32_e32(v[6], s[0]),
s_mov_b32(s[0], 0xBBBBBBBB),
v_mov_b32_e32(v[7], s[0]),
DS(DSOp.DS_STOREXCHG_2ADDR_STRIDE64_RTN_B64, addr=v[10], data0=v[6:7], data1=v[6:7], vdst=v[8:11], offset0=1, offset1=2),
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][8], 0x11111111, "v8 should have old val1 low")
self.assertEqual(st.vgpr[0][9], 0x22222222, "v9 should have old val1 high")
self.assertEqual(st.vgpr[0][10], 0x11111111, "v10 should have old val2 low")
self.assertEqual(st.vgpr[0][11], 0x22222222, "v11 should have old val2 high")
class TestAtomicOrdering(unittest.TestCase):
"""Tests for atomic operation return values and ordering."""
def test_ds_add_rtn_sequence(self):
"""DS_ADD_RTN returns correct old values in sequence."""
instructions = [
v_mov_b32_e32(v[10], 0),
v_mov_b32_e32(v[0], 100),
DS(DSOp.DS_STORE_B32, addr=v[10], data0=v[0], vdst=v[0], offset0=0),
s_waitcnt(lgkmcnt=0),
v_mov_b32_e32(v[1], 25),
DS(DSOp.DS_ADD_RTN_U32, addr=v[10], data0=v[1], vdst=v[2], offset0=0),
s_waitcnt(lgkmcnt=0),
DS(DSOp.DS_ADD_RTN_U32, addr=v[10], data0=v[1], vdst=v[3], offset0=0),
s_waitcnt(lgkmcnt=0),
DS(DSOp.DS_LOAD_B32, addr=v[10], vdst=v[4], offset0=0),
s_waitcnt(lgkmcnt=0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][2], 100, "First add should return 100")
self.assertEqual(st.vgpr[0][3], 125, "Second add should return 125")
self.assertEqual(st.vgpr[0][4], 150, "Final value should be 150")
if __name__ == '__main__':
unittest.main()
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@@ -0,0 +1,363 @@
"""Tests for FLAT instructions - flat memory operations.
Includes: flat_load_*, flat_store_*, flat_atomic_*
"""
import unittest
from extra.assembly.amd.test.hw.helpers import *
class TestFlatAtomic(unittest.TestCase):
"""Tests for FLAT atomic instructions."""
def _make_test(self, setup_instrs, atomic_instr, check_fn, test_offset=2000):
"""Helper to create atomic test instructions."""
instructions = [
s_load_b64(s[2:3], s[80:81], 0, soffset=SrcEnum.NULL),
s_waitcnt(lgkmcnt=0),
v_mov_b32_e32(v[0], s[2]),
v_mov_b32_e32(v[1], s[3]),
] + setup_instrs + [atomic_instr, s_waitcnt(vmcnt=0),
v_mov_b32_e32(v[0], 0),
v_mov_b32_e32(v[1], 0),
s_mov_b32(s[2], 0),
s_mov_b32(s[3], 0),
]
st = run_program(instructions, n_lanes=1)
check_fn(st)
def test_flat_atomic_add_u32(self):
"""FLAT_ATOMIC_ADD_U32 adds to memory and returns old value."""
TEST_OFFSET = 2000
setup = [
s_mov_b32(s[0], 100),
v_mov_b32_e32(v[2], s[0]),
global_store_b32(addr=v[0:1], data=v[2], saddr=SrcEnum.NULL, offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
s_mov_b32(s[0], 50),
v_mov_b32_e32(v[3], s[0]),
]
atomic = FLAT(FLATOp.FLAT_ATOMIC_ADD_U32, addr=v[0:1], data=v[3], vdst=v[4], saddr=SrcEnum.NULL, offset=TEST_OFFSET, glc=1)
def check(st):
self.assertEqual(st.vgpr[0][4], 100)
self._make_test(setup, atomic, check, TEST_OFFSET)
def test_flat_atomic_swap_b32(self):
"""FLAT_ATOMIC_SWAP_B32 swaps memory value and returns old value."""
TEST_OFFSET = 2000
setup = [
s_mov_b32(s[0], 0xAAAAAAAA),
v_mov_b32_e32(v[2], s[0]),
global_store_b32(addr=v[0:1], data=v[2], saddr=SrcEnum.NULL, offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
s_mov_b32(s[0], 0xBBBBBBBB),
v_mov_b32_e32(v[3], s[0]),
]
atomic = FLAT(FLATOp.FLAT_ATOMIC_SWAP_B32, addr=v[0:1], data=v[3], vdst=v[4], saddr=SrcEnum.NULL, offset=TEST_OFFSET, glc=1)
def check(st):
self.assertEqual(st.vgpr[0][4], 0xAAAAAAAA)
self._make_test(setup, atomic, check, TEST_OFFSET)
def test_flat_atomic_and_b32(self):
"""FLAT_ATOMIC_AND_B32 ANDs with memory and returns old value."""
TEST_OFFSET = 2000
setup = [
s_mov_b32(s[0], 0xFF00FF00),
v_mov_b32_e32(v[2], s[0]),
global_store_b32(addr=v[0:1], data=v[2], saddr=SrcEnum.NULL, offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
s_mov_b32(s[0], 0xFFFF0000),
v_mov_b32_e32(v[3], s[0]),
]
atomic = FLAT(FLATOp.FLAT_ATOMIC_AND_B32, addr=v[0:1], data=v[3], vdst=v[4], saddr=SrcEnum.NULL, offset=TEST_OFFSET, glc=1)
def check(st):
self.assertEqual(st.vgpr[0][4], 0xFF00FF00)
self._make_test(setup, atomic, check, TEST_OFFSET)
def test_flat_atomic_or_b32(self):
"""FLAT_ATOMIC_OR_B32 ORs with memory and returns old value."""
TEST_OFFSET = 2000
setup = [
s_mov_b32(s[0], 0x00FF0000),
v_mov_b32_e32(v[2], s[0]),
global_store_b32(addr=v[0:1], data=v[2], saddr=SrcEnum.NULL, offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
s_mov_b32(s[0], 0x0000FF00),
v_mov_b32_e32(v[3], s[0]),
]
atomic = FLAT(FLATOp.FLAT_ATOMIC_OR_B32, addr=v[0:1], data=v[3], vdst=v[4], saddr=SrcEnum.NULL, offset=TEST_OFFSET, glc=1)
def check(st):
self.assertEqual(st.vgpr[0][4], 0x00FF0000)
self._make_test(setup, atomic, check, TEST_OFFSET)
def test_flat_atomic_inc_u32(self):
"""FLAT_ATOMIC_INC_U32 increments and returns old value."""
TEST_OFFSET = 2000
setup = [
s_mov_b32(s[0], 10),
v_mov_b32_e32(v[2], s[0]),
global_store_b32(addr=v[0:1], data=v[2], saddr=SrcEnum.NULL, offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
s_mov_b32(s[0], 100), # threshold
v_mov_b32_e32(v[3], s[0]),
]
atomic = FLAT(FLATOp.FLAT_ATOMIC_INC_U32, addr=v[0:1], data=v[3], vdst=v[4], saddr=SrcEnum.NULL, offset=TEST_OFFSET, glc=1)
def check(st):
self.assertEqual(st.vgpr[0][4], 10)
self._make_test(setup, atomic, check, TEST_OFFSET)
def test_flat_atomic_dec_u32(self):
"""FLAT_ATOMIC_DEC_U32 decrements and returns old value."""
TEST_OFFSET = 2000
setup = [
s_mov_b32(s[0], 10),
v_mov_b32_e32(v[2], s[0]),
global_store_b32(addr=v[0:1], data=v[2], saddr=SrcEnum.NULL, offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
s_mov_b32(s[0], 100),
v_mov_b32_e32(v[3], s[0]),
]
atomic = FLAT(FLATOp.FLAT_ATOMIC_DEC_U32, addr=v[0:1], data=v[3], vdst=v[4], saddr=SrcEnum.NULL, offset=TEST_OFFSET, glc=1)
def check(st):
self.assertEqual(st.vgpr[0][4], 10)
self._make_test(setup, atomic, check, TEST_OFFSET)
def test_flat_atomic_sub_u32(self):
"""FLAT_ATOMIC_SUB_U32 subtracts from memory and returns old value."""
TEST_OFFSET = 2000
setup = [
s_mov_b32(s[0], 100),
v_mov_b32_e32(v[2], s[0]),
global_store_b32(addr=v[0:1], data=v[2], saddr=SrcEnum.NULL, offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
s_mov_b32(s[0], 30),
v_mov_b32_e32(v[3], s[0]), # sub 30
]
atomic = FLAT(FLATOp.FLAT_ATOMIC_SUB_U32, addr=v[0:1], data=v[3], vdst=v[4], saddr=SrcEnum.NULL, offset=TEST_OFFSET, glc=1)
def check(st):
self.assertEqual(st.vgpr[0][4], 100, "v4 should have old value (100)")
self._make_test(setup, atomic, check, TEST_OFFSET)
def test_flat_atomic_xor_b32(self):
"""FLAT_ATOMIC_XOR_B32 XORs with memory and returns old value."""
TEST_OFFSET = 2000
setup = [
s_mov_b32(s[0], 0xAAAAAAAA),
v_mov_b32_e32(v[2], s[0]),
global_store_b32(addr=v[0:1], data=v[2], saddr=SrcEnum.NULL, offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
s_mov_b32(s[0], 0xFFFFFFFF),
v_mov_b32_e32(v[3], s[0]), # XOR mask
]
atomic = FLAT(FLATOp.FLAT_ATOMIC_XOR_B32, addr=v[0:1], data=v[3], vdst=v[4], saddr=SrcEnum.NULL, offset=TEST_OFFSET, glc=1)
def check(st):
self.assertEqual(st.vgpr[0][4], 0xAAAAAAAA, "v4 should have old value")
self._make_test(setup, atomic, check, TEST_OFFSET)
def test_flat_atomic_min_u32(self):
"""FLAT_ATOMIC_MIN_U32 stores min and returns old value."""
TEST_OFFSET = 2000
setup = [
s_mov_b32(s[0], 100),
v_mov_b32_e32(v[2], s[0]),
global_store_b32(addr=v[0:1], data=v[2], saddr=SrcEnum.NULL, offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
s_mov_b32(s[0], 50),
v_mov_b32_e32(v[3], s[0]), # compare value (smaller)
]
atomic = FLAT(FLATOp.FLAT_ATOMIC_MIN_U32, addr=v[0:1], data=v[3], vdst=v[4], saddr=SrcEnum.NULL, offset=TEST_OFFSET, glc=1)
def check(st):
self.assertEqual(st.vgpr[0][4], 100, "v4 should have old value (100)")
self._make_test(setup, atomic, check, TEST_OFFSET)
def test_flat_atomic_max_u32(self):
"""FLAT_ATOMIC_MAX_U32 stores max and returns old value."""
TEST_OFFSET = 2000
setup = [
s_mov_b32(s[0], 50),
v_mov_b32_e32(v[2], s[0]),
global_store_b32(addr=v[0:1], data=v[2], saddr=SrcEnum.NULL, offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
s_mov_b32(s[0], 100),
v_mov_b32_e32(v[3], s[0]), # compare value (larger)
]
atomic = FLAT(FLATOp.FLAT_ATOMIC_MAX_U32, addr=v[0:1], data=v[3], vdst=v[4], saddr=SrcEnum.NULL, offset=TEST_OFFSET, glc=1)
def check(st):
self.assertEqual(st.vgpr[0][4], 50, "v4 should have old value (50)")
self._make_test(setup, atomic, check, TEST_OFFSET)
def test_flat_atomic_inc_u64_returns_old_value(self):
"""FLAT_ATOMIC_INC_U64 should return full 64-bit old value."""
TEST_OFFSET = 2000
setup = [
# Store initial 64-bit value: 0xCAFEBABE_DEADBEEF
s_mov_b32(s[0], 0xDEADBEEF),
v_mov_b32_e32(v[2], s[0]),
s_mov_b32(s[0], 0xCAFEBABE),
v_mov_b32_e32(v[3], s[0]),
global_store_b64(addr=v[0:1], data=v[2:3], saddr=SrcEnum.NULL, offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
# Threshold: 0xFFFFFFFF_FFFFFFFF
s_mov_b32(s[0], 0xFFFFFFFF),
v_mov_b32_e32(v[4], s[0]),
v_mov_b32_e32(v[5], s[0]),
]
atomic = FLAT(FLATOp.FLAT_ATOMIC_INC_U64, addr=v[0:1], data=v[4:5], vdst=v[6:7], saddr=SrcEnum.NULL, offset=TEST_OFFSET, glc=1)
def check(st):
self.assertEqual(st.vgpr[0][6], 0xDEADBEEF, "v6 should have old value low dword")
self.assertEqual(st.vgpr[0][7], 0xCAFEBABE, "v7 should have old value high dword")
self._make_test(setup, atomic, check, TEST_OFFSET)
def test_flat_atomic_add_u64(self):
"""FLAT_ATOMIC_ADD_U64 adds 64-bit value and returns old value."""
TEST_OFFSET = 2000
setup = [
s_mov_b32(s[0], 0x11111111),
v_mov_b32_e32(v[2], s[0]),
s_mov_b32(s[0], 0x22222222),
v_mov_b32_e32(v[3], s[0]),
global_store_b64(addr=v[0:1], data=v[2:3], saddr=SrcEnum.NULL, offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
s_mov_b32(s[0], 0x00000001), # add 1
v_mov_b32_e32(v[4], s[0]),
s_mov_b32(s[0], 0x00000000),
v_mov_b32_e32(v[5], s[0]),
]
atomic = FLAT(FLATOp.FLAT_ATOMIC_ADD_U64, addr=v[0:1], data=v[4:5], vdst=v[6:7], saddr=SrcEnum.NULL, offset=TEST_OFFSET, glc=1)
def check(st):
self.assertEqual(st.vgpr[0][6], 0x11111111, "v6 should have old value low")
self.assertEqual(st.vgpr[0][7], 0x22222222, "v7 should have old value high")
self._make_test(setup, atomic, check, TEST_OFFSET)
def test_flat_atomic_swap_b64(self):
"""FLAT_ATOMIC_SWAP_B64 swaps 64-bit value and returns old value."""
TEST_OFFSET = 2000
setup = [
s_mov_b32(s[0], 0xAAAAAAAA),
v_mov_b32_e32(v[2], s[0]),
s_mov_b32(s[0], 0xBBBBBBBB),
v_mov_b32_e32(v[3], s[0]),
global_store_b64(addr=v[0:1], data=v[2:3], saddr=SrcEnum.NULL, offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
s_mov_b32(s[0], 0xCCCCCCCC),
v_mov_b32_e32(v[4], s[0]),
s_mov_b32(s[0], 0xDDDDDDDD),
v_mov_b32_e32(v[5], s[0]),
]
atomic = FLAT(FLATOp.FLAT_ATOMIC_SWAP_B64, addr=v[0:1], data=v[4:5], vdst=v[6:7], saddr=SrcEnum.NULL, offset=TEST_OFFSET, glc=1)
def check(st):
self.assertEqual(st.vgpr[0][6], 0xAAAAAAAA, "v6 should have old value low")
self.assertEqual(st.vgpr[0][7], 0xBBBBBBBB, "v7 should have old value high")
self._make_test(setup, atomic, check, TEST_OFFSET)
class TestFlatLoad(unittest.TestCase):
"""Tests for FLAT load instructions."""
def test_flat_load_b32(self):
"""FLAT_LOAD_B32 loads 32-bit value correctly."""
TEST_OFFSET = 2000
instructions = [
s_load_b64(s[2:3], s[80:81], 0, soffset=SrcEnum.NULL),
s_waitcnt(lgkmcnt=0),
v_mov_b32_e32(v[0], s[2]),
v_mov_b32_e32(v[1], s[3]),
s_mov_b32(s[0], 0xDEADBEEF),
v_mov_b32_e32(v[2], s[0]),
global_store_b32(addr=v[0:1], data=v[2], saddr=SrcEnum.NULL, offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
FLAT(FLATOp.FLAT_LOAD_B32, addr=v[0:1], vdst=v[4], saddr=SrcEnum.NULL, offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
v_mov_b32_e32(v[0], 0),
v_mov_b32_e32(v[1], 0),
s_mov_b32(s[2], 0),
s_mov_b32(s[3], 0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][4], 0xDEADBEEF)
def test_flat_load_b64(self):
"""FLAT_LOAD_B64 loads 64-bit value correctly."""
TEST_OFFSET = 2000
instructions = [
s_load_b64(s[2:3], s[80:81], 0, soffset=SrcEnum.NULL),
s_waitcnt(lgkmcnt=0),
v_mov_b32_e32(v[0], s[2]),
v_mov_b32_e32(v[1], s[3]),
s_mov_b32(s[0], 0xDEADBEEF),
v_mov_b32_e32(v[2], s[0]),
s_mov_b32(s[0], 0xCAFEBABE),
v_mov_b32_e32(v[3], s[0]),
global_store_b64(addr=v[0:1], data=v[2:3], saddr=SrcEnum.NULL, offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
FLAT(FLATOp.FLAT_LOAD_B64, addr=v[0:1], vdst=v[4:5], saddr=SrcEnum.NULL, offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
v_mov_b32_e32(v[0], 0),
v_mov_b32_e32(v[1], 0),
s_mov_b32(s[2], 0),
s_mov_b32(s[3], 0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][4], 0xDEADBEEF)
self.assertEqual(st.vgpr[0][5], 0xCAFEBABE)
def test_flat_load_b96(self):
"""FLAT_LOAD_B96 loads 96-bit (3 dword) value correctly."""
TEST_OFFSET = 2000
instructions = [
s_load_b64(s[2:3], s[80:81], 0, soffset=SrcEnum.NULL),
s_waitcnt(lgkmcnt=0),
v_mov_b32_e32(v[0], s[2]),
v_mov_b32_e32(v[1], s[3]),
s_mov_b32(s[0], 0x11111111),
v_mov_b32_e32(v[2], s[0]),
s_mov_b32(s[0], 0x22222222),
v_mov_b32_e32(v[3], s[0]),
s_mov_b32(s[0], 0x33333333),
v_mov_b32_e32(v[4], s[0]),
global_store_b96(addr=v[0:1], data=v[2:4], saddr=SrcEnum.NULL, offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
FLAT(FLATOp.FLAT_LOAD_B96, addr=v[0:1], vdst=v[5:7], saddr=SrcEnum.NULL, offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
v_mov_b32_e32(v[0], 0),
v_mov_b32_e32(v[1], 0),
s_mov_b32(s[2], 0),
s_mov_b32(s[3], 0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][5], 0x11111111)
self.assertEqual(st.vgpr[0][6], 0x22222222)
self.assertEqual(st.vgpr[0][7], 0x33333333)
def test_flat_load_b128(self):
"""FLAT_LOAD_B128 loads 128-bit value correctly."""
TEST_OFFSET = 2000
instructions = [
s_load_b64(s[2:3], s[80:81], 0, soffset=SrcEnum.NULL),
s_waitcnt(lgkmcnt=0),
v_mov_b32_e32(v[0], s[2]),
v_mov_b32_e32(v[1], s[3]),
s_mov_b32(s[0], 0x11111111),
v_mov_b32_e32(v[2], s[0]),
s_mov_b32(s[0], 0x22222222),
v_mov_b32_e32(v[3], s[0]),
s_mov_b32(s[0], 0x33333333),
v_mov_b32_e32(v[4], s[0]),
s_mov_b32(s[0], 0x44444444),
v_mov_b32_e32(v[5], s[0]),
global_store_b128(addr=v[0:1], data=v[2:5], saddr=SrcEnum.NULL, offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
FLAT(FLATOp.FLAT_LOAD_B128, addr=v[0:1], vdst=v[6:9], saddr=SrcEnum.NULL, offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
v_mov_b32_e32(v[0], 0),
v_mov_b32_e32(v[1], 0),
s_mov_b32(s[2], 0),
s_mov_b32(s[3], 0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][6], 0x11111111)
self.assertEqual(st.vgpr[0][7], 0x22222222)
self.assertEqual(st.vgpr[0][8], 0x33333333)
self.assertEqual(st.vgpr[0][9], 0x44444444)
if __name__ == '__main__':
unittest.main()
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"""Tests for GLOBAL instructions - global memory operations.
Includes: global_load_*, global_store_*, global_atomic_*, global_load_d16_*
"""
import unittest
from extra.assembly.amd.test.hw.helpers import *
class TestGlobalAtomic(unittest.TestCase):
"""Tests for GLOBAL atomic instructions."""
def _make_test(self, setup_instrs, atomic_instr, check_fn, test_offset=2000):
"""Helper to create atomic test instructions."""
instructions = [
s_load_b64(s[2:3], s[80:81], 0, soffset=SrcEnum.NULL),
s_waitcnt(lgkmcnt=0),
v_mov_b32_e32(v[0], s[2]),
v_mov_b32_e32(v[1], s[3]),
] + setup_instrs + [atomic_instr, s_waitcnt(vmcnt=0),
v_mov_b32_e32(v[0], 0),
v_mov_b32_e32(v[1], 0),
s_mov_b32(s[2], 0),
s_mov_b32(s[3], 0),
]
st = run_program(instructions, n_lanes=1)
check_fn(st)
def test_global_atomic_add_u32(self):
"""GLOBAL_ATOMIC_ADD_U32 adds to memory and returns old value."""
TEST_OFFSET = 2000
setup = [
s_mov_b32(s[0], 100),
v_mov_b32_e32(v[2], s[0]),
global_store_b32(addr=v[0:1], data=v[2], saddr=SrcEnum.NULL, offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
s_mov_b32(s[0], 50),
v_mov_b32_e32(v[3], s[0]),
]
atomic = GLOBAL(GLOBALOp.GLOBAL_ATOMIC_ADD_U32, addr=v[0:1], data=v[3], vdst=v[4], saddr=SrcEnum.NULL, offset=TEST_OFFSET, glc=1)
def check(st):
self.assertEqual(st.vgpr[0][4], 100)
self._make_test(setup, atomic, check, TEST_OFFSET)
def test_global_atomic_add_u64(self):
"""GLOBAL_ATOMIC_ADD_U64 adds 64-bit value and returns old value."""
TEST_OFFSET = 2000
setup = [
s_mov_b32(s[0], 0xFFFFFFFF),
v_mov_b32_e32(v[2], s[0]),
s_mov_b32(s[0], 0x00000000),
v_mov_b32_e32(v[3], s[0]),
global_store_b64(addr=v[0:1], data=v[2:3], saddr=SrcEnum.NULL, offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
s_mov_b32(s[0], 0x00000001),
v_mov_b32_e32(v[4], s[0]),
s_mov_b32(s[0], 0x00000000),
v_mov_b32_e32(v[5], s[0]),
]
atomic = GLOBAL(GLOBALOp.GLOBAL_ATOMIC_ADD_U64, addr=v[0:1], data=v[4:5], vdst=v[6:7], saddr=SrcEnum.NULL, offset=TEST_OFFSET, glc=1)
def check(st):
self.assertEqual(st.vgpr[0][6], 0xFFFFFFFF)
self.assertEqual(st.vgpr[0][7], 0x00000000)
self._make_test(setup, atomic, check, TEST_OFFSET)
class TestGlobalLoad(unittest.TestCase):
"""Tests for GLOBAL load instructions."""
def test_global_load_b96(self):
"""GLOBAL_LOAD_B96 loads 96-bit value correctly."""
TEST_OFFSET = 2000
instructions = [
s_load_b64(s[2:3], s[80:81], 0, soffset=SrcEnum.NULL),
s_waitcnt(lgkmcnt=0),
v_mov_b32_e32(v[0], s[2]),
v_mov_b32_e32(v[1], s[3]),
s_mov_b32(s[0], 0xAAAAAAAA),
v_mov_b32_e32(v[2], s[0]),
s_mov_b32(s[0], 0xBBBBBBBB),
v_mov_b32_e32(v[3], s[0]),
s_mov_b32(s[0], 0xCCCCCCCC),
v_mov_b32_e32(v[4], s[0]),
global_store_b96(addr=v[0:1], data=v[2:4], saddr=SrcEnum.NULL, offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
GLOBAL(GLOBALOp.GLOBAL_LOAD_B96, addr=v[0:1], vdst=v[5:7], saddr=SrcEnum.NULL, offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
v_mov_b32_e32(v[0], 0),
v_mov_b32_e32(v[1], 0),
s_mov_b32(s[2], 0),
s_mov_b32(s[3], 0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][5], 0xAAAAAAAA)
self.assertEqual(st.vgpr[0][6], 0xBBBBBBBB)
self.assertEqual(st.vgpr[0][7], 0xCCCCCCCC)
def test_global_load_b128(self):
"""GLOBAL_LOAD_B128 loads 128-bit value correctly."""
TEST_OFFSET = 2000
instructions = [
s_load_b64(s[2:3], s[80:81], 0, soffset=SrcEnum.NULL),
s_waitcnt(lgkmcnt=0),
v_mov_b32_e32(v[0], s[2]),
v_mov_b32_e32(v[1], s[3]),
s_mov_b32(s[0], 0xDEADBEEF),
v_mov_b32_e32(v[2], s[0]),
s_mov_b32(s[0], 0xCAFEBABE),
v_mov_b32_e32(v[3], s[0]),
s_mov_b32(s[0], 0x12345678),
v_mov_b32_e32(v[4], s[0]),
s_mov_b32(s[0], 0x9ABCDEF0),
v_mov_b32_e32(v[5], s[0]),
global_store_b128(addr=v[0:1], data=v[2:5], saddr=SrcEnum.NULL, offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
GLOBAL(GLOBALOp.GLOBAL_LOAD_B128, addr=v[0:1], vdst=v[6:9], saddr=SrcEnum.NULL, offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
v_mov_b32_e32(v[0], 0),
v_mov_b32_e32(v[1], 0),
s_mov_b32(s[2], 0),
s_mov_b32(s[3], 0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][6], 0xDEADBEEF)
self.assertEqual(st.vgpr[0][7], 0xCAFEBABE)
self.assertEqual(st.vgpr[0][8], 0x12345678)
self.assertEqual(st.vgpr[0][9], 0x9ABCDEF0)
class TestGlobalStore(unittest.TestCase):
"""Tests for GLOBAL store instructions."""
def test_global_store_b64_basic(self):
"""GLOBAL_STORE_B64 stores 8 bytes from v[n:n+1] to memory."""
TEST_OFFSET = 256
instructions = [
s_load_b64(s[2:3], s[80:81], 0, soffset=SrcEnum.NULL),
s_waitcnt(lgkmcnt=0),
s_mov_b32(s[4], 0xDEADBEEF),
s_mov_b32(s[5], 0xCAFEBABE),
v_mov_b32_e32(v[2], s[4]),
v_mov_b32_e32(v[3], s[5]),
v_mov_b32_e32(v[0], 0),
global_store_b64(addr=v[0], data=v[2:3], saddr=s[2:3], offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
GLOBAL(GLOBALOp.GLOBAL_LOAD_B64, addr=v[0], vdst=v[4:5], data=v[4:5], saddr=s[2:3], offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
v_mov_b32_e32(v[0], v[4]),
v_mov_b32_e32(v[1], v[5]),
s_mov_b32(s[2], 0),
s_mov_b32(s[3], 0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][0], 0xDEADBEEF)
self.assertEqual(st.vgpr[0][1], 0xCAFEBABE)
class TestD16HiLoads(unittest.TestCase):
"""Tests for D16_HI load instructions that load into high 16 bits."""
def test_global_load_d16_hi_b16_preserves_low_bits(self):
"""GLOBAL_LOAD_D16_HI_B16 must preserve low 16 bits of destination."""
TEST_OFFSET = 256
instructions = [
s_load_b64(s[2:3], s[80:81], 0, soffset=SrcEnum.NULL),
s_waitcnt(lgkmcnt=0),
v_mov_b32_e32(v[0], s[2]),
v_mov_b32_e32(v[1], s[3]),
s_mov_b32(s[4], 0xCAFE),
v_mov_b32_e32(v[2], s[4]),
global_store_b16(addr=v[0:1], data=v[2], saddr=SrcEnum.NULL, offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
s_mov_b32(s[4], 0x0000BEEF),
v_mov_b32_e32(v[3], s[4]),
GLOBAL(GLOBALOp.GLOBAL_LOAD_D16_HI_B16, addr=v[0:1], vdst=v[3], data=v[3], saddr=SrcEnum.NULL, offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
v_mov_b32_e32(v[0], v[3]),
v_mov_b32_e32(v[1], 0),
s_mov_b32(s[2], 0),
s_mov_b32(s[3], 0),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][0]
self.assertEqual(result, 0xCAFEBEEF, f"Expected 0xCAFEBEEF, got 0x{result:08x}")
def test_global_load_d16_hi_b16_data_differs_from_vdst(self):
"""GLOBAL_LOAD_D16_HI_B16 where data field differs from vdst."""
TEST_OFFSET = 256
instructions = [
s_load_b64(s[2:3], s[80:81], 0, soffset=SrcEnum.NULL),
s_waitcnt(lgkmcnt=0),
s_mov_b32(s[4], 0xCAFE),
v_mov_b32_e32(v[2], s[4]),
v_mov_b32_e32(v[3], 0),
global_store_b16(addr=v[3], data=v[2], saddr=s[2:3], offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
s_mov_b32(s[4], 0x0000DEAD),
v_mov_b32_e32(v[0], s[4]), # data field - should NOT affect result
v_mov_b32_e32(v[1], 0), # vdst - low bits should be preserved
GLOBAL(GLOBALOp.GLOBAL_LOAD_D16_HI_B16, addr=v[1], vdst=v[1], data=v[0], saddr=s[2:3], offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
v_mov_b32_e32(v[0], v[1]),
s_mov_b32(s[2], 0),
s_mov_b32(s[3], 0),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][0]
self.assertEqual(result, 0xCAFE0000, f"Expected 0xCAFE0000, got 0x{result:08x}")
def test_global_load_d16_hi_u8_data_differs_from_vdst(self):
"""GLOBAL_LOAD_D16_HI_U8 where data field differs from vdst."""
TEST_OFFSET = 256
instructions = [
s_load_b64(s[2:3], s[80:81], 0, soffset=SrcEnum.NULL),
s_waitcnt(lgkmcnt=0),
s_mov_b32(s[4], 0xAB),
v_mov_b32_e32(v[2], s[4]),
v_mov_b32_e32(v[3], 0),
global_store_b8(addr=v[3], data=v[2], saddr=s[2:3], offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
s_mov_b32(s[4], 0x0000DEAD),
v_mov_b32_e32(v[4], s[4]), # data field
s_mov_b32(s[4], 0x0000BEEF),
v_mov_b32_e32(v[5], s[4]), # vdst
v_mov_b32_e32(v[3], 0),
GLOBAL(GLOBALOp.GLOBAL_LOAD_D16_HI_U8, addr=v[3], vdst=v[5], data=v[4], saddr=s[2:3], offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
v_mov_b32_e32(v[0], v[5]),
s_mov_b32(s[2], 0),
s_mov_b32(s[3], 0),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][0]
self.assertEqual(result, 0x00ABBEEF, f"Expected 0x00ABBEEF, got 0x{result:08x}")
def test_global_load_d16_hi_b16_same_addr_and_dst_zero_addr(self):
"""GLOBAL_LOAD_D16_HI_B16 with same register for addr and vdst, addr value=0."""
TEST_OFFSET = 256
instructions = [
s_load_b64(s[2:3], s[80:81], 0, soffset=SrcEnum.NULL),
s_waitcnt(lgkmcnt=0),
s_mov_b32(s[4], 0xCAFE),
v_mov_b32_e32(v[2], s[4]),
v_mov_b32_e32(v[3], 0),
global_store_b16(addr=v[3], data=v[2], saddr=s[2:3], offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
v_mov_b32_e32(v[1], 0),
GLOBAL(GLOBALOp.GLOBAL_LOAD_D16_HI_B16, addr=v[1], vdst=v[1], data=v[1], saddr=s[2:3], offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
v_mov_b32_e32(v[0], v[1]),
s_mov_b32(s[2], 0),
s_mov_b32(s[3], 0),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][0]
self.assertEqual(result, 0xCAFE0000, f"Expected 0xCAFE0000, got 0x{result:08x}")
def test_global_load_d16_hi_b16_tril_exact_pattern(self):
"""Exact pattern from tril() failure: data=v0 differs from vdst=v1."""
TEST_OFFSET = 256
instructions = [
s_load_b64(s[2:3], s[80:81], 0, soffset=SrcEnum.NULL),
s_waitcnt(lgkmcnt=0),
s_mov_b32(s[4], 0x01010101),
v_mov_b32_e32(v[10], s[4]),
v_mov_b32_e32(v[3], 0),
global_store_b32(addr=v[3], data=v[10], saddr=s[2:3], offset=TEST_OFFSET),
global_store_b32(addr=v[3], data=v[10], saddr=s[2:3], offset=TEST_OFFSET+4),
s_waitcnt(vmcnt=0),
# Set v[0] to 0x0101 (simulating prior u16 load result)
s_mov_b32(s[4], 0x0101),
v_mov_b32_e32(v[0], s[4]),
# Set v[1] to 0
v_mov_b32_e32(v[1], 0),
# Load using v[1] as addr AND vdst, but v[0] as data
GLOBAL(GLOBALOp.GLOBAL_LOAD_D16_HI_B16, addr=v[1], vdst=v[1], data=v[0], saddr=s[2:3], offset=TEST_OFFSET+6),
s_waitcnt(vmcnt=0),
v_mov_b32_e32(v[0], v[1]),
s_mov_b32(s[2], 0),
s_mov_b32(s[3], 0),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][0]
# Expected: hi=0x0101 (loaded), lo=0x0000 (from v1) -> 0x01010000
self.assertEqual(result, 0x01010000, f"Expected 0x01010000, got 0x{result:08x}")
def test_global_load_d16_hi_i8_data_differs_from_vdst(self):
"""GLOBAL_LOAD_D16_HI_I8 where data field differs from vdst."""
TEST_OFFSET = 256
instructions = [
s_load_b64(s[2:3], s[80:81], 0, soffset=SrcEnum.NULL),
s_waitcnt(lgkmcnt=0),
s_mov_b32(s[4], 0x80), # negative signed byte = -128
v_mov_b32_e32(v[2], s[4]),
v_mov_b32_e32(v[3], 0),
global_store_b8(addr=v[3], data=v[2], saddr=s[2:3], offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
s_mov_b32(s[4], 0x0000DEAD),
v_mov_b32_e32(v[4], s[4]), # data field
s_mov_b32(s[4], 0x0000BEEF),
v_mov_b32_e32(v[5], s[4]), # vdst
v_mov_b32_e32(v[3], 0),
GLOBAL(GLOBALOp.GLOBAL_LOAD_D16_HI_I8, addr=v[3], vdst=v[5], data=v[4], saddr=s[2:3], offset=TEST_OFFSET),
s_waitcnt(vmcnt=0),
v_mov_b32_e32(v[0], v[5]),
s_mov_b32(s[2], 0),
s_mov_b32(s[3], 0),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][0]
# 0x80 sign-extended = 0xFF80, lo=0xBEEF -> 0xFF80BEEF
self.assertEqual(result, 0xFF80BEEF, f"Expected 0xFF80BEEF, got 0x{result:08x}")
def test_global_store_b64_tril_pattern(self):
"""Test the exact pattern from tril() kernel that was failing."""
TEST_OFFSET = 256
instructions = [
s_load_b64(s[2:3], s[80:81], 0, soffset=SrcEnum.NULL),
s_waitcnt(lgkmcnt=0),
s_mov_b32(s[4], 0x01010101),
v_mov_b32_e32(v[10], s[4]),
v_mov_b32_e32(v[11], s[4]),
s_mov_b32(s[4], 0x01),
v_mov_b32_e32(v[12], s[4]),
v_mov_b32_e32(v[0], 0),
global_store_b64(addr=v[0], data=v[10:11], saddr=s[2:3], offset=TEST_OFFSET),
global_store_b8(addr=v[0], data=v[12], saddr=s[2:3], offset=TEST_OFFSET+8),
s_waitcnt(vmcnt=0),
v_mov_b32_e32(v[2], 0),
v_mov_b32_e32(v[1], 0),
GLOBAL(GLOBALOp.GLOBAL_LOAD_U16, addr=v[2], vdst=v[0], data=v[0], saddr=s[2:3], offset=TEST_OFFSET+3),
GLOBAL(GLOBALOp.GLOBAL_LOAD_D16_HI_B16, addr=v[1], vdst=v[1], data=v[1], saddr=s[2:3], offset=TEST_OFFSET+6),
GLOBAL(GLOBALOp.GLOBAL_LOAD_U8, addr=v[2], vdst=v[3], data=v[3], saddr=s[2:3], offset=TEST_OFFSET),
GLOBAL(GLOBALOp.GLOBAL_LOAD_U8, addr=v[2], vdst=v[4], data=v[4], saddr=s[2:3], offset=TEST_OFFSET+8),
s_waitcnt(vmcnt=0),
v_and_b32_e32(v[5], 0xffff, v[0]),
v_lshlrev_b32_e32(v[0], 24, v[0]),
v_lshrrev_b32_e32(v[5], 8, v[5]),
v_or_b32_e32(v[0], v[3], v[0]),
v_or_b32_e32(v[1], v[5], v[1]),
global_store_b64(addr=v[2], data=v[0:1], saddr=s[2:3], offset=TEST_OFFSET+16),
s_waitcnt(vmcnt=0),
GLOBAL(GLOBALOp.GLOBAL_LOAD_B64, addr=v[2], vdst=v[6:7], data=v[6:7], saddr=s[2:3], offset=TEST_OFFSET+16),
s_waitcnt(vmcnt=0),
v_mov_b32_e32(v[0], v[6]),
v_mov_b32_e32(v[1], v[7]),
s_mov_b32(s[2], 0),
s_mov_b32(s[3], 0),
]
st = run_program(instructions, n_lanes=1)
v0 = st.vgpr[0][0]
v1 = st.vgpr[0][1]
self.assertEqual(v0, 0x01000001, f"v0: expected 0x01000001, got 0x{v0:08x}")
self.assertEqual(v1, 0x01010001, f"v1: expected 0x01010001, got 0x{v1:08x}")
byte5 = (v1 >> 8) & 0xff
self.assertEqual(byte5, 0x00, f"byte5: expected 0x00, got 0x{byte5:02x}")
if __name__ == '__main__':
unittest.main()
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"""Tests for SOP instructions - scalar operations.
Includes: s_add_u32, s_mov_b32, s_and_b32, s_or_b32, s_quadmask_b32, s_wqm_b32,
s_cbranch_vccnz, s_cbranch_vccz
"""
import unittest
from extra.assembly.amd.test.hw.helpers import *
class TestBasicScalar(unittest.TestCase):
"""Tests for basic scalar operations."""
def test_s_add_u32(self):
"""S_ADD_U32 adds two scalar values."""
instructions = [
s_mov_b32(s[0], 100),
s_mov_b32(s[1], 200),
s_add_u32(s[2], s[0], s[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[2], 300)
def test_s_add_u32_carry(self):
"""S_ADD_U32 sets SCC on overflow."""
instructions = [
s_mov_b32(s[0], 64),
s_not_b32(s[0], s[0]), # ~64 = 0xffffffbf
s_mov_b32(s[1], 64),
s_add_u32(s[2], s[0], s[1]), # 0xffffffbf + 64 = 0xffffffff
s_mov_b32(s[3], 1),
s_add_u32(s[4], s[2], s[3]), # 0xffffffff + 1 = overflow
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[4], 0)
self.assertEqual(st.scc, 1)
def test_s_brev_b32(self):
"""S_BREV_B32 reverses bits of a 32-bit value."""
# 10 = 0b00000000000000000000000000001010
# reversed = 0b01010000000000000000000000000000 = 0x50000000
instructions = [
s_mov_b32(s[0], 10),
s_brev_b32(s[1], s[0]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[1], 0x50000000)
def test_s_brev_b32_all_ones(self):
"""S_BREV_B32 with all ones stays all ones."""
instructions = [
s_mov_b32(s[0], 0xFFFFFFFF),
s_brev_b32(s[1], s[0]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[1], 0xFFFFFFFF)
def test_s_brev_b32_single_bit(self):
"""S_BREV_B32 with bit 0 set becomes bit 31."""
instructions = [
s_mov_b32(s[0], 1),
s_brev_b32(s[1], s[0]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[1], 0x80000000)
class TestQuadmaskWqm(unittest.TestCase):
"""Tests for S_QUADMASK_B32 and S_WQM_B32."""
def test_s_quadmask_b32_all_quads_active(self):
"""S_QUADMASK_B32 with all quads active."""
instructions = [
s_mov_b32(s[0], 0xFFFFFFFF), # All lanes active
s_quadmask_b32(s[1], s[0]),
]
st = run_program(instructions, n_lanes=1)
# Each quad (4 lanes) with any bit set -> 1 bit in result
# 32 lanes = 8 quads, all active -> 0xFF
self.assertEqual(st.sgpr[1], 0xFF)
def test_s_quadmask_b32_alternating_quads(self):
"""S_QUADMASK_B32 with alternating quads active."""
instructions = [
s_mov_b32(s[0], 0x0F0F0F0F), # Quads 0,2,4,6 active
s_quadmask_b32(s[1], s[0]),
]
st = run_program(instructions, n_lanes=1)
# Quads 0,2,4,6 have at least one bit -> 0b01010101 = 0x55
self.assertEqual(st.sgpr[1], 0x55)
def test_s_quadmask_b32_no_quads_active(self):
"""S_QUADMASK_B32 with no quads active."""
instructions = [
s_mov_b32(s[0], 0),
s_quadmask_b32(s[1], s[0]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[1], 0)
def test_s_quadmask_b32_single_lane_per_quad(self):
"""S_QUADMASK_B32 with single lane active in each quad."""
instructions = [
s_mov_b32(s[0], 0x11111111), # Bit 0 of each nibble
s_quadmask_b32(s[1], s[0]),
]
st = run_program(instructions, n_lanes=1)
# All 8 quads have at least one lane -> 0xFF
self.assertEqual(st.sgpr[1], 0xFF)
def test_s_wqm_b32_all_active(self):
"""S_WQM_B32 with all lanes active returns all 1s."""
instructions = [
s_mov_b32(s[0], 0xFFFFFFFF),
s_wqm_b32(s[1], s[0]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[1], 0xFFFFFFFF)
def test_s_wqm_b32_alternating_quads(self):
"""S_WQM_B32 with single lane per quad expands to full quads."""
instructions = [
s_mov_b32(s[0], 0x11111111), # One lane per quad
s_wqm_b32(s[1], s[0]),
]
st = run_program(instructions, n_lanes=1)
# Each quad with any bit expands to all 4 bits
self.assertEqual(st.sgpr[1], 0xFFFFFFFF)
def test_s_wqm_b32_zero(self):
"""S_WQM_B32 with zero input returns zero."""
instructions = [
s_mov_b32(s[0], 0),
s_wqm_b32(s[1], s[0]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[1], 0)
class TestBranch(unittest.TestCase):
"""Tests for branch instructions."""
def test_cbranch_vccnz_ignores_vcc_hi(self):
"""S_CBRANCH_VCCNZ should only check VCC_LO in wave32."""
instructions = [
# Set VCC_LO = 0, VCC_HI = 1
s_mov_b32(VCC_LO, 0),
s_mov_b32(VCC_HI, 1),
v_mov_b32_e32(v[0], 0),
# If VCC_HI is incorrectly used, branch will be taken
s_cbranch_vccnz(1), # Skip next instruction if VCC != 0
v_mov_b32_e32(v[0], 42), # This should execute
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][0], 42, "Branch should NOT be taken (VCC_LO is 0)")
def test_cbranch_vccz_ignores_vcc_hi(self):
"""S_CBRANCH_VCCZ should only check VCC_LO in wave32."""
instructions = [
# Set VCC_LO = 1, VCC_HI = 0
s_mov_b32(VCC_LO, 1),
s_mov_b32(VCC_HI, 0),
v_mov_b32_e32(v[0], 0),
# If VCC_HI is incorrectly used, branch will be taken
s_cbranch_vccz(1), # Skip next instruction if VCC == 0
v_mov_b32_e32(v[0], 42), # This should execute
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][0], 42, "Branch should NOT be taken (VCC_LO is 1)")
def test_cbranch_vccnz_branches_on_vcc_lo(self):
"""S_CBRANCH_VCCNZ branches when VCC_LO is non-zero."""
instructions = [
s_mov_b32(VCC_LO, 1),
v_mov_b32_e32(v[0], 0),
s_cbranch_vccnz(1), # Skip next instruction if VCC != 0
v_mov_b32_e32(v[0], 42), # This should be skipped
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][0], 0, "Branch should be taken (VCC_LO is 1)")
class Test64BitLiterals(unittest.TestCase):
"""Tests for 64-bit literal encoding in instructions."""
def test_64bit_literal_negative_encoding(self):
"""64-bit literal -2^32 encodes correctly."""
lit = -4294967296.0 # -2^32
lit_bits = f2i64(lit)
instructions = [
s_mov_b32(s[0], lit_bits & 0xffffffff),
s_mov_b32(s[1], lit_bits >> 32),
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
]
st = run_program(instructions, n_lanes=1)
result = i642f(st.vgpr[0][0] | (st.vgpr[0][1] << 32))
self.assertAlmostEqual(result, -4294967296.0, places=5)
class TestSCCBehavior(unittest.TestCase):
"""Tests for SCC condition code behavior."""
def test_scc_from_s_cmp(self):
"""SCC should be set by scalar compare."""
instructions = [
s_mov_b32(s[0], 10),
s_cmp_eq_u32(s[0], 10),
s_cselect_b32(s[1], 1, 0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[1], 1, "SCC should be true")
self.assertEqual(st.scc, 1)
def test_scc_clear(self):
"""SCC should be cleared by failing compare."""
instructions = [
s_mov_b32(s[0], 10),
s_cmp_eq_u32(s[0], 20),
s_cselect_b32(s[1], 1, 0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[1], 0, "SCC should be false")
self.assertEqual(st.scc, 0)
class TestSignedArithmetic(unittest.TestCase):
"""Tests for S_ADD_I32, S_SUB_I32 and their SCC overflow behavior."""
def test_s_add_i32_no_overflow(self):
"""S_ADD_I32: 1 + 1 = 2, no overflow, SCC=0."""
instructions = [
s_mov_b32(s[0], 1),
s_add_i32(s[1], s[0], 1),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[1], 2)
self.assertEqual(st.scc, 0, "No overflow, SCC should be 0")
def test_s_add_i32_positive_overflow(self):
"""S_ADD_I32: MAX_INT + 1 overflows, SCC=1."""
instructions = [
s_mov_b32(s[0], 0x7FFFFFFF), # MAX_INT
s_add_i32(s[1], s[0], 1),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[1], 0x80000000) # Wraps to MIN_INT
self.assertEqual(st.scc, 1, "Overflow, SCC should be 1")
def test_s_add_i32_negative_no_overflow(self):
"""S_ADD_I32: -10 + 20 = 10, no overflow."""
instructions = [
s_mov_b32(s[0], 0xFFFFFFF6), # -10 in two's complement
s_mov_b32(s[1], 20),
s_add_i32(s[2], s[0], s[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[2], 10)
self.assertEqual(st.scc, 0)
def test_s_add_i32_negative_overflow(self):
"""S_ADD_I32: MIN_INT + (-1) underflows, SCC=1."""
instructions = [
s_mov_b32(s[0], 0x80000000), # MIN_INT
s_mov_b32(s[1], 0xFFFFFFFF), # -1
s_add_i32(s[2], s[0], s[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[2], 0x7FFFFFFF) # Wraps to MAX_INT
self.assertEqual(st.scc, 1, "Underflow, SCC should be 1")
def test_s_sub_i32_no_overflow(self):
"""S_SUB_I32: 10 - 5 = 5, no overflow."""
instructions = [
s_mov_b32(s[0], 10),
s_mov_b32(s[1], 5),
s_sub_i32(s[2], s[0], s[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[2], 5)
self.assertEqual(st.scc, 0)
def test_s_sub_i32_overflow(self):
"""S_SUB_I32: MAX_INT - (-1) overflows, SCC=1."""
instructions = [
s_mov_b32(s[0], 0x7FFFFFFF), # MAX_INT
s_mov_b32(s[1], 0xFFFFFFFF), # -1
s_sub_i32(s[2], s[0], s[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[2], 0x80000000) # Wraps to MIN_INT
self.assertEqual(st.scc, 1, "Overflow, SCC should be 1")
def test_s_mul_hi_u32(self):
"""S_MUL_HI_U32: high 32 bits of u32 * u32."""
instructions = [
s_mov_b32(s[0], 0x80000000), # 2^31
s_mov_b32(s[1], 4),
s_mul_hi_u32(s[2], s[0], s[1]), # (2^31 * 4) >> 32 = 2
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[2], 2)
def test_s_mul_i32(self):
"""S_MUL_I32: signed multiply low 32 bits."""
instructions = [
s_mov_b32(s[0], 0xFFFFFFFF), # -1
s_mov_b32(s[1], 10),
s_mul_i32(s[2], s[0], s[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[2], 0xFFFFFFF6) # -10
def test_division_sequence_from_llvm(self):
"""Test the division sequence pattern from LLVM-generated code."""
# This sequence is from the sin kernel and computes integer division
# s10 = dividend, s18 = divisor, result in s6/s14
dividend = 0x28BE60DB # Some value from the sin kernel
divisor = 3 # Simplified divisor
instructions = [
s_mov_b32(s[10], dividend),
s_mov_b32(s[18], divisor),
# Compute reciprocal approximation: s6 = ~0 / divisor (approx)
s_mov_b32(s[11], 0),
s_sub_i32(s[11], s[11], s[18]), # s11 = -divisor
# For testing, just verify basic arithmetic works
s_mul_i32(s[6], s[10], 2),
s_add_i32(s[7], s[6], 1),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[6], (dividend * 2) & 0xFFFFFFFF)
self.assertEqual(st.sgpr[7], ((dividend * 2) + 1) & 0xFFFFFFFF)
class Test64BitCompare(unittest.TestCase):
"""Tests for 64-bit scalar compare instructions."""
def test_s_cmp_eq_u64_equal(self):
"""S_CMP_EQ_U64: comparing equal 64-bit values sets SCC=1."""
val = 0x123456789ABCDEF0
instructions = [
s_mov_b32(s[0], val & 0xFFFFFFFF),
s_mov_b32(s[1], val >> 32),
s_mov_b32(s[2], val & 0xFFFFFFFF),
s_mov_b32(s[3], val >> 32),
s_cmp_eq_u64(s[0:1], s[2:3]),
s_cselect_b32(s[4], 1, 0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.scc, 1)
self.assertEqual(st.sgpr[4], 1)
def test_s_cmp_eq_u64_different_upper_bits(self):
"""S_CMP_EQ_U64: values differing only in upper 32 bits are not equal."""
# This is the bug case - if only lower 32 bits are compared, these would be equal
instructions = [
s_mov_b32(s[0], 0), # lower 32 bits of value 0
s_mov_b32(s[1], 0), # upper 32 bits of value 0
s_mov_b32(s[2], 0), # lower 32 bits of 0x100000000
s_mov_b32(s[3], 1), # upper 32 bits of 0x100000000
s_cmp_eq_u64(s[0:1], s[2:3]),
s_cselect_b32(s[4], 1, 0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.scc, 0, "0 != 0x100000000, SCC should be 0")
self.assertEqual(st.sgpr[4], 0)
def test_s_cmp_lg_u64_different(self):
"""S_CMP_LG_U64: different 64-bit values sets SCC=1."""
instructions = [
s_mov_b32(s[0], 0),
s_mov_b32(s[1], 0), # s[0:1] = 0
s_mov_b32(s[2], 0),
s_mov_b32(s[3], 1), # s[2:3] = 0x100000000
s_cmp_lg_u64(s[0:1], s[2:3]),
s_cselect_b32(s[4], 1, 0),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.scc, 1, "0 != 0x100000000, SCC should be 1")
self.assertEqual(st.sgpr[4], 1)
if __name__ == '__main__':
unittest.main()
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"""Tests for VOP2 instructions - two operand vector operations.
Includes: v_add_f32, v_mul_f32, v_and_b32, v_or_b32, v_xor_b32,
v_lshrrev_b32, v_lshlrev_b32, v_fmac_f32, v_fmaak_f32, v_fmamk_f32,
v_add_nc_u32, v_cndmask_b32, v_add_f16, v_mul_f16
"""
import unittest
from extra.assembly.amd.test.hw.helpers import *
class TestBasicArithmetic(unittest.TestCase):
"""Tests for basic arithmetic VOP2 instructions."""
def test_v_add_f32(self):
"""V_ADD_F32 adds two floats."""
instructions = [
v_mov_b32_e32(v[0], 1.0),
v_mov_b32_e32(v[1], 2.0),
v_add_f32_e32(v[2], v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertAlmostEqual(i2f(st.vgpr[0][2]), 3.0, places=5)
def test_v_mul_f32(self):
"""V_MUL_F32 multiplies two floats."""
instructions = [
v_mov_b32_e32(v[0], 2.0),
v_mov_b32_e32(v[1], 4.0),
v_mul_f32_e32(v[2], v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertAlmostEqual(i2f(st.vgpr[0][2]), 8.0, places=5)
def test_v_fmac_f32(self):
"""V_FMAC_F32: d = d + a*b using inline constants."""
instructions = [
v_mov_b32_e32(v[0], 2.0),
v_mov_b32_e32(v[1], 4.0),
v_mov_b32_e32(v[2], 1.0),
v_fmac_f32_e32(v[2], v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertAlmostEqual(i2f(st.vgpr[0][2]), 9.0, places=5)
def test_v_fmaak_f32(self):
"""V_FMAAK_F32: d = a * b + K using inline constants."""
instructions = [
v_mov_b32_e32(v[0], 2.0),
v_mov_b32_e32(v[1], 4.0),
v_fmaak_f32_e32(v[2], v[0], v[1], literal=0x3f800000),
]
st = run_program(instructions, n_lanes=1)
self.assertAlmostEqual(i2f(st.vgpr[0][2]), 9.0, places=5)
def test_v_fmamk_f32_basic(self):
"""V_FMAMK_F32: d = a * K + b."""
instructions = [
v_mov_b32_e32(v[0], 2.0),
v_mov_b32_e32(v[1], 1.0),
v_fmamk_f32_e32(v[2], v[0], v[1], literal=0x40800000),
]
st = run_program(instructions, n_lanes=1)
self.assertAlmostEqual(i2f(st.vgpr[0][2]), 9.0, places=5)
def test_v_fmamk_f32_small_constant(self):
"""V_FMAMK_F32 with small constant."""
instructions = [
v_mov_b32_e32(v[0], 4.0),
v_mov_b32_e32(v[1], 1.0),
v_fmamk_f32_e32(v[2], v[0], v[1], literal=f2i(0.5)),
]
st = run_program(instructions, n_lanes=1)
self.assertAlmostEqual(i2f(st.vgpr[0][2]), 3.0, places=5)
class TestBitManipulation(unittest.TestCase):
"""Tests for bit manipulation VOP2 instructions."""
def test_v_and_b32(self):
"""V_AND_B32 bitwise and."""
instructions = [
s_mov_b32(s[0], 0xff),
s_mov_b32(s[1], 0x0f),
v_mov_b32_e32(v[0], s[0]),
v_and_b32_e32(v[1], s[1], v[0]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][1], 0x0f)
def test_v_and_b32_quadrant(self):
"""V_AND_B32 for quadrant extraction (n & 3)."""
instructions = [
s_mov_b32(s[0], 15915),
v_mov_b32_e32(v[0], s[0]),
v_and_b32_e32(v[1], 3, v[0]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][1], 15915 & 3)
def test_v_lshrrev_b32(self):
"""V_LSHRREV_B32 logical shift right."""
instructions = [
s_mov_b32(s[0], 0xff00),
v_mov_b32_e32(v[0], s[0]),
v_lshrrev_b32_e32(v[1], 8, v[0]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][1], 0xff)
def test_v_lshlrev_b32(self):
"""V_LSHLREV_B32 logical shift left."""
instructions = [
s_mov_b32(s[0], 0xff),
v_mov_b32_e32(v[0], s[0]),
v_lshlrev_b32_e32(v[1], 8, v[0]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][1], 0xff00)
def test_v_xor_b32(self):
"""V_XOR_B32 bitwise xor (used in sin for sign)."""
instructions = [
s_mov_b32(s[0], 0x80000000),
s_mov_b32(s[1], f2i(1.0)),
v_mov_b32_e32(v[0], s[1]),
v_xor_b32_e32(v[1], s[0], v[0]),
]
st = run_program(instructions, n_lanes=1)
self.assertAlmostEqual(i2f(st.vgpr[0][1]), -1.0, places=5)
def test_v_xor_b32_sign_flip(self):
"""V_XOR_B32 for sign flip pattern."""
instructions = [
s_mov_b32(s[0], 0x80000000),
v_mov_b32_e32(v[0], -2.0),
v_xor_b32_e32(v[1], s[0], v[0]),
]
st = run_program(instructions, n_lanes=1)
self.assertAlmostEqual(i2f(st.vgpr[0][1]), 2.0, places=5)
class TestSpecialValues(unittest.TestCase):
"""Tests for special float values - inf, nan, zero handling."""
def test_v_mul_f32_zero_times_inf(self):
"""V_MUL_F32: 0 * inf = NaN."""
import math
instructions = [
v_mov_b32_e32(v[0], 0),
s_mov_b32(s[0], 0x7f800000),
v_mov_b32_e32(v[1], s[0]),
v_mul_f32_e32(v[2], v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertTrue(math.isnan(i2f(st.vgpr[0][2])))
def test_v_add_f32_inf_minus_inf(self):
"""V_ADD_F32: inf + (-inf) = NaN."""
import math
instructions = [
s_mov_b32(s[0], 0x7f800000),
s_mov_b32(s[1], 0xff800000),
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_add_f32_e32(v[2], v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertTrue(math.isnan(i2f(st.vgpr[0][2])))
class TestF16Ops(unittest.TestCase):
"""Tests for 16-bit VOP2 operations."""
def test_v_add_f16_basic(self):
"""V_ADD_F16 adds two f16 values."""
instructions = [
s_mov_b32(s[0], 0x3c00), # f16 1.0
s_mov_b32(s[1], 0x4000), # f16 2.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_add_f16_e32(v[2], v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2] & 0xffff
self.assertEqual(result, 0x4200, f"Expected 0x4200 (f16 3.0), got 0x{result:04x}")
def test_v_add_f16_negative(self):
"""V_ADD_F16 with negative values."""
instructions = [
s_mov_b32(s[0], 0x3c00), # f16 1.0
s_mov_b32(s[1], 0xc000), # f16 -2.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_add_f16_e32(v[2], v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2] & 0xffff
self.assertEqual(result, 0xbc00, f"Expected 0xbc00 (f16 -1.0), got 0x{result:04x}")
def test_v_mul_f16_basic(self):
"""V_MUL_F16 multiplies two f16 values."""
instructions = [
s_mov_b32(s[0], 0x4000), # f16 2.0
s_mov_b32(s[1], 0x4200), # f16 3.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_mul_f16_e32(v[2], v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2] & 0xffff
self.assertEqual(result, 0x4600, f"Expected 0x4600 (f16 6.0), got 0x{result:04x}")
def test_v_mul_f16_by_zero(self):
"""V_MUL_F16 by zero."""
instructions = [
s_mov_b32(s[0], 0x4000), # f16 2.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], 0),
v_mul_f16_e32(v[2], v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2] & 0xffff
self.assertEqual(result, 0x0000, f"Expected 0x0000 (f16 0.0), got 0x{result:04x}")
def test_v_fmac_f16_basic(self):
"""V_FMAC_F16: d = d + a*b."""
instructions = [
s_mov_b32(s[0], 0x4000), # f16 2.0
s_mov_b32(s[1], 0x4200), # f16 3.0
s_mov_b32(s[2], 0x3c00), # f16 1.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_mov_b32_e32(v[2], s[2]),
v_fmac_f16_e32(v[2], v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2] & 0xffff
# 2.0 * 3.0 + 1.0 = 7.0, f16 7.0 = 0x4700
self.assertEqual(result, 0x4700, f"Expected 0x4700 (f16 7.0), got 0x{result:04x}")
def test_v_fmaak_f16_basic(self):
"""V_FMAAK_F16: d = a * b + K."""
instructions = [
s_mov_b32(s[0], 0x4000), # f16 2.0
s_mov_b32(s[1], 0x4200), # f16 3.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_fmaak_f16_e32(v[2], v[0], v[1], literal=0x3c00), # + f16 1.0
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2] & 0xffff
# 2.0 * 3.0 + 1.0 = 7.0, f16 7.0 = 0x4700
self.assertEqual(result, 0x4700, f"Expected 0x4700 (f16 7.0), got 0x{result:04x}")
class TestHiHalfOps(unittest.TestCase):
"""Tests for VOP2 16-bit operations with hi-half operands."""
def test_v_add_f16_src0_hi_fold(self):
"""V_ADD_F16 with src0 hi-half fold (same register, different halves)."""
instructions = [
s_mov_b32(s[0], 0x40003c00), # lo=f16(1.0), hi=f16(2.0)
v_mov_b32_e32(v[0], s[0]),
VOP3(VOP3Op.V_ADD_F16, vdst=v[1], src0=v[0], src1=v[0], opsel=0b0001),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][1] & 0xffff
self.assertEqual(result, 0x4200, f"Expected f16(3.0)=0x4200, got 0x{result:04x}")
def test_v_add_f16_src0_hi_different_reg(self):
"""V_ADD_F16 with src0 hi-half from different register."""
instructions = [
s_mov_b32(s[0], 0x40000000), # hi=f16(2.0), lo=0
s_mov_b32(s[1], 0x00003c00), # hi=0, lo=f16(1.0)
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
VOP3(VOP3Op.V_ADD_F16, vdst=v[2], src0=v[0], src1=v[1], opsel=0b0001),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2] & 0xffff
self.assertEqual(result, 0x4200, f"Expected f16(3.0)=0x4200, got 0x{result:04x}")
def test_v_mul_f16_src0_hi(self):
"""V_MUL_F16 with src0 from high half."""
instructions = [
s_mov_b32(s[0], 0x40000000), # hi=f16(2.0), lo=0
s_mov_b32(s[1], 0x00004200), # hi=0, lo=f16(3.0)
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
VOP3(VOP3Op.V_MUL_F16, vdst=v[2], src0=v[0], src1=v[1], opsel=0b0001),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2] & 0xffff
self.assertEqual(result, 0x4600, f"Expected f16(6.0)=0x4600, got 0x{result:04x}")
def test_v_mul_f16_hi_half(self):
"""V_MUL_F16 reading from high half."""
instructions = [
s_mov_b32(s[0], 0x40003c00), # lo=1.0, hi=2.0
v_mov_b32_e32(v[0], s[0]),
VOP3(VOP3Op.V_MUL_F16, vdst=v[1], src0=v[0], src1=v[0], opsel=0b0011),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][1] & 0xffff
self.assertEqual(result, 0x4400, f"Expected f16(4.0)=0x4400, got 0x{result:04x}")
def test_v_fma_f16_hi_dest(self):
"""V_FMA_F16 writing to high half with opsel.
Uses V_FMA_F16 (not V_FMAC_F16) because it has explicit src2 operand
which makes opsel handling clearer.
"""
instructions = [
s_mov_b32(s[0], 0x3c000000), # hi=f16(1.0), lo=0
s_mov_b32(s[1], 0x4000), # f16(2.0) in lo
s_mov_b32(s[2], 0x4200), # f16(3.0) in lo
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_mov_b32_e32(v[2], s[2]),
# V_FMA_F16: dst = src0 * src1 + src2
# opsel=0b1100: bit2=src2 hi, bit3=dst hi
# So: v[0].hi = v[1].lo * v[2].lo + v[0].hi = 2.0 * 3.0 + 1.0 = 7.0
VOP3(VOP3Op.V_FMA_F16, vdst=v[0], src0=v[1], src1=v[2], src2=v[0], opsel=0b1100),
]
st = run_program(instructions, n_lanes=1)
hi = (st.vgpr[0][0] >> 16) & 0xffff
# 2.0 * 3.0 + 1.0 = 7.0, f16 7.0 = 0x4700
self.assertEqual(hi, 0x4700, f"Expected f16(7.0)=0x4700 in hi, got 0x{hi:04x}")
def test_v_add_f16_multilane(self):
"""V_ADD_F16 with multiple lanes."""
instructions = [
s_mov_b32(s[0], 0x3c00), # f16 1.0
s_mov_b32(s[1], 0x4000), # f16 2.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_add_f16_e32(v[2], v[0], v[1]),
]
st = run_program(instructions, n_lanes=4)
for lane in range(4):
result = st.vgpr[lane][2] & 0xffff
self.assertEqual(result, 0x4200, f"Lane {lane}: expected 0x4200, got 0x{result:04x}")
class TestCndmask(unittest.TestCase):
"""Tests for V_CNDMASK_B32 and V_CNDMASK_B16."""
def test_v_cndmask_b16_select_src0(self):
"""V_CNDMASK_B16 selects src0 when VCC bit is 0."""
instructions = [
s_mov_b32(VCC_LO, 0), # VCC = 0
s_mov_b32(s[0], 0x3c00), # f16 1.0
s_mov_b32(s[1], 0x4000), # f16 2.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_cndmask_b16(v[2], v[0], v[1], VCC),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2] & 0xffff
self.assertEqual(result, 0x3c00, f"Expected src0=0x3c00, got 0x{result:04x}")
def test_v_cndmask_b16_select_src1(self):
"""V_CNDMASK_B16 selects src1 when VCC bit is 1."""
instructions = [
s_mov_b32(VCC_LO, 1), # VCC = 1
s_mov_b32(s[0], 0x3c00), # f16 1.0
s_mov_b32(s[1], 0x4000), # f16 2.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_cndmask_b16(v[2], v[0], v[1], VCC),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2] & 0xffff
self.assertEqual(result, 0x4000, f"Expected src1=0x4000, got 0x{result:04x}")
def test_v_cndmask_b16_write_hi(self):
"""V_CNDMASK_B16 can write to high 16 bits with opsel."""
instructions = [
s_mov_b32(s[0], 0x3c003800), # src0: hi=1.0, lo=0.5
v_mov_b32_e32(v[0], s[0]),
s_mov_b32(s[1], 0x4000c000), # src1: hi=2.0, lo=-2.0
v_mov_b32_e32(v[1], s[1]),
s_mov_b32(s[2], 0xDEAD0000), # v2 initial: hi=0xDEAD, lo=0
v_mov_b32_e32(v[2], s[2]),
s_mov_b32(VCC_LO, 0), # vcc = 0, select src0
# opsel=0b1011: bit0=src0 hi, bit1=src1 hi, bit3=dst hi
VOP3(VOP3Op.V_CNDMASK_B16, vdst=v[2], src0=v[0], src1=v[1], src2=SrcEnum.VCC_LO, opsel=0b1011),
]
st = run_program(instructions, n_lanes=1)
hi = (st.vgpr[0][2] >> 16) & 0xffff
lo = st.vgpr[0][2] & 0xffff
# vcc=0 selects src0.h = 1.0 = 0x3c00, writes to hi
self.assertEqual(hi, 0x3c00, f"Expected hi=0x3c00 (1.0), got 0x{hi:04x}")
self.assertEqual(lo, 0x0000, f"Expected lo preserved as 0, got 0x{lo:04x}")
class TestSpecialFloatValues(unittest.TestCase):
"""Tests for special float value handling in VOP2 instructions."""
def test_neg_zero_add(self):
"""-0.0 + 0.0 = +0.0 (IEEE 754)."""
neg_zero = 0x80000000
instructions = [
s_mov_b32(s[0], neg_zero),
v_mov_b32_e32(v[0], s[0]),
v_add_f32_e32(v[1], 0.0, v[0]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][1], 0x00000000, "Should be +0.0")
def test_neg_zero_mul(self):
"""-0.0 * -1.0 = +0.0."""
neg_zero = 0x80000000
instructions = [
s_mov_b32(s[0], neg_zero),
v_mov_b32_e32(v[0], s[0]),
v_mul_f32_e32(v[1], -1.0, v[0]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][1], 0x00000000, "Should be +0.0")
def test_inf_minus_inf(self):
"""+inf - inf = NaN."""
import math
pos_inf = 0x7f800000
neg_inf = 0xff800000
instructions = [
s_mov_b32(s[0], pos_inf),
s_mov_b32(s[1], neg_inf),
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_sub_f32_e32(v[2], v[0], v[1]), # inf - (-inf) = inf
v_add_f32_e32(v[3], v[0], v[1]), # inf + (-inf) = NaN
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][2], pos_inf, "inf - (-inf) = inf")
self.assertTrue(math.isnan(i2f(st.vgpr[0][3])), "inf + (-inf) = NaN")
def test_denormal_f32_mul_ftz(self):
"""Denormal * normal - RDNA3 flushes denormals to zero (FTZ mode)."""
smallest_denorm = 0x00000001 # Smallest positive denormal
instructions = [
s_mov_b32(s[0], smallest_denorm),
v_mov_b32_e32(v[0], s[0]),
v_mul_f32_e32(v[1], 2.0, v[0]), # Denormal input gets flushed to 0
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][1], 0x00000000)
if __name__ == '__main__':
unittest.main()
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"""Tests for VOP3P instructions - packed 16-bit vector operations.
Includes: v_pk_add_f16, v_pk_mul_f16, v_pk_fma_f16, v_pack_b32_f16, v_wmma_*, v_dot2_*
"""
import unittest
from extra.assembly.amd.test.hw.helpers import *
class TestPackInstructions(unittest.TestCase):
"""Tests for pack instructions."""
def test_v_pack_b32_f16(self):
"""V_PACK_B32_F16 packs two f16 values into one 32-bit register."""
instructions = [
s_mov_b32(s[0], 0x3c00), # f16 1.0
s_mov_b32(s[1], 0x4000), # f16 2.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_pack_b32_f16(v[2], v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2]
self.assertEqual(result, 0x40003c00, f"Expected 0x40003c00, got 0x{result:08x}")
def test_v_pack_b32_f16_opsel_hi_hi(self):
"""V_PACK_B32_F16 with opsel to read high halves."""
instructions = [
s_mov_b32(s[0], 0x40003c00), # hi=2.0, lo=1.0
s_mov_b32(s[1], 0x44004200), # hi=4.0, lo=3.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_pack_b32_f16(v[2], v[0], v[1], opsel=0b0011),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2]
self.assertEqual(result, 0x44004000, f"Expected 0x44004000, got 0x{result:08x}")
class TestPackMore(unittest.TestCase):
"""Additional pack instruction tests."""
def test_v_pack_b32_f16_basic(self):
"""V_PACK_B32_F16 packs two f16 values."""
instructions = [
s_mov_b32(s[0], 0x3c00), # f16 1.0
s_mov_b32(s[1], 0x4000), # f16 2.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_pack_b32_f16(v[2], v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2]
self.assertEqual(result, 0x40003c00, f"Expected 0x40003c00, got 0x{result:08x}")
def test_v_pack_b32_f16_with_cvt(self):
"""V_PACK_B32_F16 after V_CVT_F16_F32 conversions."""
instructions = [
s_mov_b32(s[0], 0x3f800000),
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[0]),
v_cvt_f16_f32_e32(v[2], v[0]),
v_cvt_f16_f32_e32(v[3], v[1]),
v_pack_b32_f16(v[4], v[2], v[3]),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][4]
self.assertEqual(result, 0x3c003c00, f"Expected 0x3c003c00, got 0x{result:08x}")
def test_v_pack_b32_f16_packed_sources(self):
"""V_PACK_B32_F16 with packed f16 sources (reads lo halves)."""
instructions = [
s_mov_b32(s[0], 0x40003c00), # hi=2.0, lo=1.0
s_mov_b32(s[1], 0x44004200), # hi=4.0, lo=3.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_pack_b32_f16(v[2], v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2]
# Expected: hi=v1.lo=0x4200 (3.0), lo=v0.lo=0x3c00 (1.0) -> 0x42003c00
self.assertEqual(result, 0x42003c00, f"Expected 0x42003c00, got 0x{result:08x}")
def test_v_pack_b32_f16_opsel_lo_hi(self):
"""V_PACK_B32_F16 with opsel=0b0010 to read lo from src0, hi from src1."""
instructions = [
s_mov_b32(s[0], 0x40003c00),
s_mov_b32(s[1], 0x44004200),
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_pack_b32_f16(v[2], v[0], v[1], opsel=0b0010),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2]
self.assertEqual(result, 0x44003c00, f"Expected 0x44003c00, got 0x{result:08x}")
def test_v_pack_b32_f16_opsel_hi_lo(self):
"""V_PACK_B32_F16 with opsel=0b0001 to read hi from src0, lo from src1."""
instructions = [
s_mov_b32(s[0], 0x40003c00),
s_mov_b32(s[1], 0x44004200),
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_pack_b32_f16(v[2], v[0], v[1], opsel=0b0001),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2]
self.assertEqual(result, 0x42004000, f"Expected 0x42004000, got 0x{result:08x}")
def test_v_pack_b32_f16_zeros(self):
"""V_PACK_B32_F16 with zero values."""
instructions = [
v_mov_b32_e32(v[0], 0),
v_mov_b32_e32(v[1], 0),
v_pack_b32_f16(v[2], v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][2], 0)
def test_v_pack_b32_f16_both_positive(self):
"""V_PACK_B32_F16 with positive f16 values."""
instructions = [
s_mov_b32(s[0], 0x4200), # f16 3.0
s_mov_b32(s[1], 0x4400), # f16 4.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_pack_b32_f16(v[2], v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2]
self.assertEqual(result, 0x44004200, f"Expected 0x44004200, got 0x{result:08x}")
class TestFmaMix(unittest.TestCase):
"""Tests for V_FMA_MIX_F32 and V_FMA_MIXLO_F16."""
def test_v_fma_mix_f32_all_f32_sources(self):
"""V_FMA_MIX_F32 with all f32 sources."""
instructions = [
s_mov_b32(s[0], f2i(2.0)),
v_mov_b32_e32(v[0], s[0]),
s_mov_b32(s[1], f2i(3.0)),
v_mov_b32_e32(v[1], s[1]),
s_mov_b32(s[2], f2i(1.0)),
v_mov_b32_e32(v[2], s[2]),
VOP3P(VOP3POp.V_FMA_MIX_F32, vdst=v[3], src0=v[0], src1=v[1], src2=v[2], opsel=0, opsel_hi=0, opsel_hi2=0),
]
st = run_program(instructions, n_lanes=1)
result = i2f(st.vgpr[0][3])
self.assertAlmostEqual(result, 7.0, places=5)
def test_v_fma_mix_f32_src2_f16_lo(self):
"""V_FMA_MIX_F32 with src2 as f16 from lo bits."""
from extra.assembly.amd.pcode import f32_to_f16
f16_2 = f32_to_f16(2.0)
instructions = [
s_mov_b32(s[0], f2i(1.0)),
v_mov_b32_e32(v[0], s[0]),
s_mov_b32(s[1], f2i(3.0)),
v_mov_b32_e32(v[1], s[1]),
s_mov_b32(s[2], f16_2),
v_mov_b32_e32(v[2], s[2]),
VOP3P(VOP3POp.V_FMA_MIX_F32, vdst=v[3], src0=v[0], src1=v[1], src2=v[2], opsel=0, opsel_hi=0, opsel_hi2=1),
]
st = run_program(instructions, n_lanes=1)
result = i2f(st.vgpr[0][3])
self.assertAlmostEqual(result, 5.0, places=5)
def test_v_fma_mix_f32_src2_f16_hi(self):
"""V_FMA_MIX_F32 with src2 as f16 from hi bits."""
from extra.assembly.amd.pcode import f32_to_f16
f16_2 = f32_to_f16(2.0)
val = (f16_2 << 16) | 0
instructions = [
s_mov_b32(s[0], f2i(1.0)),
v_mov_b32_e32(v[0], s[0]),
s_mov_b32(s[1], f2i(3.0)),
v_mov_b32_e32(v[1], s[1]),
s_mov_b32(s[2], val),
v_mov_b32_e32(v[2], s[2]),
VOP3P(VOP3POp.V_FMA_MIX_F32, vdst=v[3], src0=v[0], src1=v[1], src2=v[2], opsel=4, opsel_hi=0, opsel_hi2=1),
]
st = run_program(instructions, n_lanes=1)
result = i2f(st.vgpr[0][3])
self.assertAlmostEqual(result, 5.0, places=5)
def test_v_fma_mix_f32_with_abs(self):
"""V_FMA_MIX_F32 with abs modifier on src2."""
instructions = [
s_mov_b32(s[0], f2i(2.0)),
v_mov_b32_e32(v[0], s[0]),
s_mov_b32(s[1], f2i(3.0)),
v_mov_b32_e32(v[1], s[1]),
s_mov_b32(s[2], f2i(-1.0)),
v_mov_b32_e32(v[2], s[2]),
VOP3P(VOP3POp.V_FMA_MIX_F32, vdst=v[3], src0=v[0], src1=v[1], src2=v[2], opsel=0, opsel_hi=0, opsel_hi2=0, neg_hi=4),
]
st = run_program(instructions, n_lanes=1)
result = i2f(st.vgpr[0][3])
self.assertAlmostEqual(result, 7.0, places=5)
def test_v_fma_mixlo_f16(self):
"""V_FMA_MIXLO_F16 writes to low 16 bits of destination."""
from extra.assembly.amd.pcode import _f16
instructions = [
s_mov_b32(s[0], f2i(2.0)),
v_mov_b32_e32(v[0], s[0]),
s_mov_b32(s[1], f2i(3.0)),
v_mov_b32_e32(v[1], s[1]),
s_mov_b32(s[2], f2i(1.0)),
v_mov_b32_e32(v[2], s[2]),
s_mov_b32(s[3], 0xdead0000),
v_mov_b32_e32(v[3], s[3]),
VOP3P(VOP3POp.V_FMA_MIXLO_F16, vdst=v[3], src0=v[0], src1=v[1], src2=v[2], opsel=0, opsel_hi=0, opsel_hi2=0),
]
st = run_program(instructions, n_lanes=1)
lo = _f16(st.vgpr[0][3] & 0xffff)
hi = (st.vgpr[0][3] >> 16) & 0xffff
self.assertAlmostEqual(lo, 7.0, places=1)
self.assertEqual(hi, 0xdead, f"hi should be preserved, got 0x{hi:04x}")
def test_v_fma_mixlo_f16_all_f32_sources(self):
"""V_FMA_MIXLO_F16 with all f32 sources."""
from extra.assembly.amd.pcode import _f16
instructions = [
s_mov_b32(s[0], f2i(1.0)),
v_mov_b32_e32(v[0], s[0]),
s_mov_b32(s[1], f2i(2.0)),
v_mov_b32_e32(v[1], s[1]),
s_mov_b32(s[2], f2i(3.0)),
v_mov_b32_e32(v[2], s[2]),
v_mov_b32_e32(v[3], 0),
VOP3P(VOP3POp.V_FMA_MIXLO_F16, vdst=v[3], src0=v[0], src1=v[1], src2=v[2], opsel=0, opsel_hi=0, opsel_hi2=0),
]
st = run_program(instructions, n_lanes=1)
lo = _f16(st.vgpr[0][3] & 0xffff)
# 1*2+3 = 5
self.assertAlmostEqual(lo, 5.0, places=1)
def test_v_fma_mixlo_f16_sin_case(self):
"""V_FMA_MIXLO_F16 case from sin kernel."""
from extra.assembly.amd.pcode import _f16
instructions = [
s_mov_b32(s[0], 0x3f800000), # f32 1.0
v_mov_b32_e32(v[3], s[0]),
s_mov_b32(s[1], 0xaf05a309), # f32 tiny negative
s_mov_b32(s[6], s[1]),
s_mov_b32(s[2], 0xc0490fdb), # f32 -π
v_mov_b32_e32(v[5], s[2]),
s_mov_b32(s[3], 0x3f800000),
v_mov_b32_e32(v[3], s[3]),
VOP3P(VOP3POp.V_FMA_MIXLO_F16, vdst=v[3], src0=v[3], src1=s[6], src2=v[5], opsel=0, opsel_hi=0, opsel_hi2=0),
]
st = run_program(instructions, n_lanes=1)
lo = _f16(st.vgpr[0][3] & 0xffff)
self.assertAlmostEqual(lo, -3.14159, delta=0.01)
class TestVOP3P(unittest.TestCase):
"""Tests for VOP3P packed 16-bit operations."""
def test_v_pk_add_f16_basic(self):
"""V_PK_ADD_F16 adds two packed f16 values."""
from extra.assembly.amd.pcode import _f16
instructions = [
s_mov_b32(s[0], 0x40003c00), # hi=2.0, lo=1.0
s_mov_b32(s[1], 0x44004200), # hi=4.0, lo=3.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_pk_add_f16(v[2], v[0], v[1], opsel_hi=3, opsel_hi2=1),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2]
lo = _f16(result & 0xffff)
hi = _f16((result >> 16) & 0xffff)
self.assertAlmostEqual(lo, 4.0, places=2)
self.assertAlmostEqual(hi, 6.0, places=2)
def test_v_pk_mul_f16_basic(self):
"""V_PK_MUL_F16 multiplies two packed f16 values."""
from extra.assembly.amd.pcode import _f16
instructions = [
s_mov_b32(s[0], 0x42004000), # hi=3.0, lo=2.0
s_mov_b32(s[1], 0x45004400), # hi=5.0, lo=4.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_pk_mul_f16(v[2], v[0], v[1], opsel_hi=3, opsel_hi2=1),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2]
lo = _f16(result & 0xffff)
hi = _f16((result >> 16) & 0xffff)
self.assertAlmostEqual(lo, 8.0, places=1)
self.assertAlmostEqual(hi, 15.0, places=1)
def test_v_pk_fma_f16_basic(self):
"""V_PK_FMA_F16: D = A * B + C for packed f16."""
from extra.assembly.amd.pcode import _f16
instructions = [
s_mov_b32(s[0], 0x42004000), # A: hi=3.0, lo=2.0
s_mov_b32(s[1], 0x45004400), # B: hi=5.0, lo=4.0
s_mov_b32(s[2], 0x3c003c00), # C: hi=1.0, lo=1.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_mov_b32_e32(v[2], s[2]),
v_pk_fma_f16(v[3], v[0], v[1], v[2], opsel_hi=3, opsel_hi2=1),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][3]
lo = _f16(result & 0xffff)
hi = _f16((result >> 16) & 0xffff)
self.assertAlmostEqual(lo, 9.0, places=1) # 2*4+1
self.assertAlmostEqual(hi, 16.0, places=0) # 3*5+1
def test_v_pk_add_f16_with_inline_constant(self):
"""V_PK_ADD_F16 with inline constant POS_ONE (1.0).
Inline constants for VOP3P are f16 values in the low 16 bits only.
hi half of inline constant is 0, so hi result = v0.hi + 0 = 1.0.
"""
from extra.assembly.amd.pcode import _f16
instructions = [
s_mov_b32(s[0], 0x3c003c00), # packed f16: hi=1.0, lo=1.0
v_mov_b32_e32(v[0], s[0]),
v_pk_add_f16(v[1], v[0], SrcEnum.POS_ONE, opsel_hi=3, opsel_hi2=1), # Add inline constant 1.0
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][1]
lo = _f16(result & 0xffff)
hi = _f16((result >> 16) & 0xffff)
# lo = 1.0 + 1.0 = 2.0, hi = 1.0 + 0.0 = 1.0 (inline const hi half is 0)
self.assertAlmostEqual(lo, 2.0, places=2)
self.assertAlmostEqual(hi, 1.0, places=2)
def test_v_pk_mul_f16_with_inline_constant(self):
"""V_PK_MUL_F16 with inline constant POS_TWO (2.0).
Inline constant has value only in low 16 bits, hi is 0.
"""
from extra.assembly.amd.pcode import _f16
# v0 = packed (3.0, 4.0), multiply by POS_TWO
# lo = 3.0 * 2.0 = 6.0, hi = 4.0 * 0.0 = 0.0 (inline const hi is 0)
instructions = [
s_mov_b32(s[0], 0x44004200), # packed f16: hi=4.0, lo=3.0
v_mov_b32_e32(v[0], s[0]),
v_pk_mul_f16(v[1], v[0], SrcEnum.POS_TWO, opsel_hi=3, opsel_hi2=1),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][1]
lo = _f16(result & 0xffff)
hi = _f16((result >> 16) & 0xffff)
self.assertAlmostEqual(lo, 6.0, places=1)
self.assertAlmostEqual(hi, 0.0, places=1)
class TestWMMA(unittest.TestCase):
"""Tests for WMMA (Wave Matrix Multiply-Accumulate) instructions."""
def test_v_wmma_f32_16x16x16_f16_all_ones(self):
"""V_WMMA_F32_16X16X16_F16 with all ones produces 16.0."""
instructions = []
instructions.append(s_mov_b32(s[0], 0x3c003c00)) # packed f16 1.0
for i in range(16, 32):
instructions.append(v_mov_b32_e32(v[i], s[0]))
for i in range(8):
instructions.append(v_mov_b32_e32(v[i], 0))
instructions.append(v_wmma_f32_16x16x16_f16(v[0:7], v[16:23], v[24:31], v[0:7]))
st = run_program(instructions, n_lanes=32)
expected = f2i(16.0)
for lane in range(32):
for reg in range(8):
result = st.vgpr[lane][reg]
self.assertEqual(result, expected, f"v[{reg}] lane {lane}: expected 16.0, got {i2f(result)}")
def test_v_wmma_f32_16x16x16_f16_with_accumulator(self):
"""V_WMMA_F32_16X16X16_F16 with non-zero accumulator."""
instructions = []
instructions.append(s_mov_b32(s[0], 0x3c003c00))
instructions.append(s_mov_b32(s[1], f2i(5.0)))
for i in range(16, 32):
instructions.append(v_mov_b32_e32(v[i], s[0]))
for i in range(8):
instructions.append(v_mov_b32_e32(v[i], s[1]))
instructions.append(v_wmma_f32_16x16x16_f16(v[0:7], v[16:23], v[24:31], v[0:7]))
st = run_program(instructions, n_lanes=32)
expected = f2i(21.0) # 16 + 5
for lane in range(32):
for reg in range(8):
result = st.vgpr[lane][reg]
self.assertEqual(result, expected, f"v[{reg}] lane {lane}: expected 21.0, got {i2f(result)}")
class TestSpecialOps(unittest.TestCase):
"""Tests for special operations (SAD, PERM, DOT2)."""
def test_v_sad_u8_basic(self):
"""V_SAD_U8 computes sum of absolute differences."""
instructions = [
s_mov_b32(s[0], 0x04030201), # bytes: 1, 2, 3, 4
s_mov_b32(s[1], 0x05040302), # bytes: 2, 3, 4, 5
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_mov_b32_e32(v[2], 0),
v_sad_u8(v[3], v[0], v[1], v[2]),
]
st = run_program(instructions, n_lanes=1)
# |1-2| + |2-3| + |3-4| + |4-5| = 1 + 1 + 1 + 1 = 4
self.assertEqual(st.vgpr[0][3], 4)
def test_v_sad_u8_identical_bytes(self):
"""V_SAD_U8 with identical inputs returns accumulator."""
instructions = [
s_mov_b32(s[0], 0x04030201),
v_mov_b32_e32(v[0], s[0]),
s_mov_b32(s[1], 10),
v_mov_b32_e32(v[2], s[1]),
v_sad_u8(v[3], v[0], v[0], v[2]),
]
st = run_program(instructions, n_lanes=1)
# Same inputs -> SAD = 0, result = accumulator = 10
self.assertEqual(st.vgpr[0][3], 10)
def test_v_sad_u16_basic(self):
"""V_SAD_U16 computes sum of absolute differences of u16 pairs."""
instructions = [
s_mov_b32(s[0], 0x00030001), # hi=3, lo=1
s_mov_b32(s[1], 0x00050002), # hi=5, lo=2
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_mov_b32_e32(v[2], 0),
v_sad_u16(v[3], v[0], v[1], v[2]),
]
st = run_program(instructions, n_lanes=1)
# |1-2| + |3-5| = 1 + 2 = 3
self.assertEqual(st.vgpr[0][3], 3)
def test_v_sad_u32_basic(self):
"""V_SAD_U32 computes absolute difference of u32 values."""
instructions = [
s_mov_b32(s[0], 100),
s_mov_b32(s[1], 70),
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_mov_b32_e32(v[2], 0),
v_sad_u32(v[3], v[0], v[1], v[2]),
]
st = run_program(instructions, n_lanes=1)
# |100-70| = 30
self.assertEqual(st.vgpr[0][3], 30)
def test_v_msad_u8_masked(self):
"""V_MSAD_U8 masked SAD operation."""
instructions = [
s_mov_b32(s[0], 0x04030201),
s_mov_b32(s[1], 0x05040302),
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_mov_b32_e32(v[2], 0),
v_msad_u8(v[3], v[0], v[1], v[2]),
]
st = run_program(instructions, n_lanes=1)
# V_MSAD_U8 skips bytes where src0 is 0
# Since no bytes are 0, result same as V_SAD_U8 = 4
self.assertEqual(st.vgpr[0][3], 4)
def test_v_perm_b32_select_bytes(self):
"""V_PERM_B32 selects bytes from two sources.
V_PERM_B32 concatenates {S1, S0} as a 64-bit value with S1 in low 32 bits.
Selector byte values 0-3 select from S1, values 4-7 select from S0.
"""
instructions = [
s_mov_b32(s[0], 0x44332211), # src0: bytes 4-7 in 64-bit view
s_mov_b32(s[1], 0x88776655), # src1: bytes 0-3 in 64-bit view
s_mov_b32(s[2], 0x07060504), # select bytes 4,5,6,7 (from src0)
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_perm_b32(v[2], v[0], v[1], s[2]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vgpr[0][2], 0x44332211)
def test_v_dot2_f32_bf16_basic(self):
"""V_DOT2_F32_BF16 computes dot product of bf16 pairs."""
# bf16 1.0 = 0x3f80, bf16 2.0 = 0x4000
instructions = [
s_mov_b32(s[0], 0x3f803f80), # packed bf16: lo=1.0, hi=1.0
s_mov_b32(s[1], 0x40003f80), # packed bf16: lo=1.0, hi=2.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_mov_b32_e32(v[2], 0),
v_dot2_f32_bf16(v[3], v[0], v[1], v[2], opsel_hi=3, opsel_hi2=1),
]
st = run_program(instructions, n_lanes=1)
# 1.0*1.0 + 1.0*2.0 + 0 = 3.0
result = i2f(st.vgpr[0][3])
self.assertAlmostEqual(result, 3.0, places=4)
class TestPackedMixedSigns(unittest.TestCase):
"""Tests for packed operations with mixed sign values."""
def test_pk_add_f16_mixed_signs(self):
"""V_PK_ADD_F16 with mixed positive/negative values."""
from extra.assembly.amd.pcode import _f16
instructions = [
s_mov_b32(s[0], 0xc0003c00), # packed: hi=-2.0, lo=1.0
s_mov_b32(s[1], 0x3c003c00), # packed: hi=1.0, lo=1.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_pk_add_f16(v[2], v[0], v[1], opsel_hi=3, opsel_hi2=1),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2]
lo = _f16(result & 0xffff)
hi = _f16((result >> 16) & 0xffff)
self.assertAlmostEqual(lo, 2.0, places=2) # 1.0 + 1.0
self.assertAlmostEqual(hi, -1.0, places=2) # -2.0 + 1.0
def test_pk_mul_f16_zero(self):
"""V_PK_MUL_F16 with zero."""
from extra.assembly.amd.pcode import _f16
instructions = [
s_mov_b32(s[0], 0x40004000), # packed: 2.0, 2.0
s_mov_b32(s[1], 0x00000000), # packed: 0.0, 0.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_pk_mul_f16(v[2], v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
result = st.vgpr[0][2]
self.assertEqual(result, 0x00000000, "2.0 * 0.0 should be 0.0")
if __name__ == '__main__':
unittest.main()
+476
View File
@@ -0,0 +1,476 @@
"""Tests for VOPC instructions - vector compare operations.
Includes: v_cmp_class_f32, v_cmp_class_f16, v_cmp_eq_*, v_cmp_lt_*, v_cmp_gt_*
"""
import unittest
from extra.assembly.amd.test.hw.helpers import *
VCC = 106 # SGPR index for VCC_LO
class TestCmpClass(unittest.TestCase):
"""Tests for V_CMP_CLASS_F32 float classification."""
def test_cmp_class_quiet_nan(self):
"""V_CMP_CLASS_F32 detects quiet NaN."""
quiet_nan = 0x7fc00000
instructions = [
s_mov_b32(s[0], quiet_nan),
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], 0b0000000010), # bit 1 = quiet NaN
v_cmp_class_f32_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "Should detect quiet NaN")
def test_cmp_class_signaling_nan(self):
"""V_CMP_CLASS_F32 detects signaling NaN."""
signal_nan = 0x7f800001
instructions = [
s_mov_b32(s[0], signal_nan),
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], 0b0000000001), # bit 0 = signaling NaN
v_cmp_class_f32_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "Should detect signaling NaN")
def test_cmp_class_positive_inf(self):
"""V_CMP_CLASS_F32 detects +inf."""
pos_inf = 0x7f800000
instructions = [
s_mov_b32(s[0], pos_inf),
s_mov_b32(s[1], 0b1000000000), # bit 9 = +inf
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_cmp_class_f32_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "Should detect +inf")
def test_cmp_class_negative_inf(self):
"""V_CMP_CLASS_F32 detects -inf."""
neg_inf = 0xff800000
instructions = [
s_mov_b32(s[0], neg_inf),
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], 0b0000000100), # bit 2 = -inf
v_cmp_class_f32_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "Should detect -inf")
def test_cmp_class_normal_positive(self):
"""V_CMP_CLASS_F32 detects positive normal."""
instructions = [
v_mov_b32_e32(v[0], 1.0),
s_mov_b32(s[1], 0b0100000000), # bit 8 = positive normal
v_mov_b32_e32(v[1], s[1]),
v_cmp_class_f32_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "Should detect positive normal")
def test_cmp_class_normal_negative(self):
"""V_CMP_CLASS_F32 detects negative normal."""
instructions = [
v_mov_b32_e32(v[0], -1.0),
v_mov_b32_e32(v[1], 0b0000001000), # bit 3 = negative normal
v_cmp_class_f32_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "Should detect negative normal")
def test_cmp_class_quiet_nan_not_signaling(self):
"""Quiet NaN does not match signaling NaN mask."""
quiet_nan = 0x7fc00000
instructions = [
s_mov_b32(s[0], quiet_nan),
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], 0b0000000001), # bit 0 = signaling NaN only
v_cmp_class_f32_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 0, "Quiet NaN should not match signaling mask")
def test_cmp_class_signaling_nan_not_quiet(self):
"""Signaling NaN does not match quiet NaN mask."""
signal_nan = 0x7f800001
instructions = [
s_mov_b32(s[0], signal_nan),
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], 0b0000000010), # bit 1 = quiet NaN only
v_cmp_class_f32_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 0, "Signaling NaN should not match quiet mask")
def test_v_cmp_sets_vcc_bits(self):
"""V_CMP_EQ sets VCC bits based on per-lane comparison."""
instructions = [
s_mov_b32(s[0], 5),
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[0]),
v_cmp_eq_u32_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=4)
self.assertEqual(st.vcc & 0xf, 0xf, "All lanes should match")
class TestCmpClassF16(unittest.TestCase):
"""Tests for V_CMP_CLASS_F16 float classification.
Class bit mapping:
bit 0 = signaling NaN
bit 1 = quiet NaN
bit 2 = -infinity
bit 3 = -normal
bit 4 = -denormal
bit 5 = -zero
bit 6 = +zero
bit 7 = +denormal
bit 8 = +normal
bit 9 = +infinity
"""
def test_cmp_class_f16_positive_zero(self):
"""V_CMP_CLASS_F16: +zero matches bit 6."""
instructions = [
v_mov_b32_e32(v[0], 0x0000), # f16 +0.0
v_mov_b32_e32(v[1], 0x40), # bit 6 = +zero
v_cmp_class_f16_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "Should detect positive zero")
def test_cmp_class_f16_negative_zero(self):
"""V_CMP_CLASS_F16: -zero matches bit 5."""
instructions = [
s_mov_b32(s[0], 0x8000), # f16 -0.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], 0x20), # bit 5 = -zero
v_cmp_class_f16_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "Should detect negative zero")
def test_cmp_class_f16_positive_normal(self):
"""V_CMP_CLASS_F16: +1.0 (normal) matches bit 8."""
instructions = [
s_mov_b32(s[0], 0x3c00), # f16 +1.0
s_mov_b32(s[1], 0x100), # bit 8 = +normal
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_cmp_class_f16_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "Should detect positive normal")
def test_cmp_class_f16_negative_normal(self):
"""V_CMP_CLASS_F16: -1.0 (normal) matches bit 3."""
instructions = [
s_mov_b32(s[0], 0xbc00), # f16 -1.0
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], 0x08), # bit 3 = -normal
v_cmp_class_f16_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "Should detect negative normal")
def test_cmp_class_f16_positive_infinity(self):
"""V_CMP_CLASS_F16: +inf matches bit 9."""
instructions = [
s_mov_b32(s[0], 0x7c00), # f16 +inf
s_mov_b32(s[1], 0x200), # bit 9 = +inf
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_cmp_class_f16_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "Should detect positive infinity")
def test_cmp_class_f16_negative_infinity(self):
"""V_CMP_CLASS_F16: -inf matches bit 2."""
instructions = [
s_mov_b32(s[0], 0xfc00), # f16 -inf
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], 0x04), # bit 2 = -inf
v_cmp_class_f16_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "Should detect negative infinity")
def test_cmp_class_f16_quiet_nan(self):
"""V_CMP_CLASS_F16: quiet NaN matches bit 1."""
instructions = [
s_mov_b32(s[0], 0x7e00), # f16 quiet NaN
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], 0x02), # bit 1 = quiet NaN
v_cmp_class_f16_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "Should detect quiet NaN")
def test_cmp_class_f16_signaling_nan(self):
"""V_CMP_CLASS_F16: signaling NaN matches bit 0."""
instructions = [
s_mov_b32(s[0], 0x7c01), # f16 signaling NaN
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], 0x01), # bit 0 = signaling NaN
v_cmp_class_f16_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "Should detect signaling NaN")
def test_cmp_class_f16_positive_denormal(self):
"""V_CMP_CLASS_F16: positive denormal matches bit 7."""
instructions = [
v_mov_b32_e32(v[0], 1), # f16 +denormal (0x0001)
v_mov_b32_e32(v[1], 0x80), # bit 7 = +denormal
v_cmp_class_f16_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "Should detect positive denormal")
def test_cmp_class_f16_negative_denormal(self):
"""V_CMP_CLASS_F16: negative denormal matches bit 4."""
instructions = [
s_mov_b32(s[0], 0x8001), # f16 -denormal
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], 0x10), # bit 4 = -denormal
v_cmp_class_f16_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "Should detect negative denormal")
def test_cmp_class_f16_combined_mask_zeros(self):
"""V_CMP_CLASS_F16: mask 0x60 covers both +zero and -zero."""
instructions = [
v_mov_b32_e32(v[0], 0), # f16 +0.0
v_mov_b32_e32(v[1], 0x60), # bits 5 and 6 (+-zero)
v_cmp_class_f16_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "VCC should be 1 for +zero with mask 0x60")
def test_cmp_class_f16_combined_mask_1f8(self):
"""V_CMP_CLASS_F16: mask 0x1f8 covers -normal,-denorm,-zero,+zero,+denorm,+normal.
This is the exact mask used in the f16 sin kernel at PC=46.
"""
instructions = [
v_mov_b32_e32(v[0], 0), # f16 +0.0
s_mov_b32(s[0], 0x1f8),
v_mov_b32_e32(v[1], s[0]), # mask 0x1f8
v_cmp_class_f16_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "VCC should be 1 for +zero with mask 0x1f8")
def test_cmp_class_f16_vop3_encoding(self):
"""V_CMP_CLASS_F16 in VOP3 encoding (v_cmp_class_f16_e64)."""
instructions = [
v_mov_b32_e32(v[0], 0), # f16 +0.0
s_mov_b32(s[0], 0x1f8), # class mask
v_cmp_class_f16_e64(VCC_LO, v[0], s[0]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "VCC should be 1 for +zero with VOP3 encoding")
def test_cmp_class_f16_vop3_normal_positive(self):
"""V_CMP_CLASS_F16 VOP3 encoding with +1.0 (normal)."""
instructions = [
s_mov_b32(s[0], 0x3c00), # f16 +1.0
v_mov_b32_e32(v[0], s[0]),
s_mov_b32(s[1], 0x1f8), # class mask
v_cmp_class_f16_e64(VCC_LO, v[0], s[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "VCC should be 1 for +1.0 (normal) with mask 0x1f8")
def test_cmp_class_f16_vop3_nan_fails_mask(self):
"""V_CMP_CLASS_F16 VOP3: NaN should NOT match mask 0x1f8 (no NaN bits set)."""
instructions = [
s_mov_b32(s[0], 0x7e00), # f16 quiet NaN
v_mov_b32_e32(v[0], s[0]),
s_mov_b32(s[1], 0x1f8), # class mask
v_cmp_class_f16_e64(VCC_LO, v[0], s[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 0, "VCC should be 0 for NaN with mask 0x1f8 (no NaN bits)")
def test_cmp_class_f16_vop3_inf_fails_mask(self):
"""V_CMP_CLASS_F16 VOP3: +inf should NOT match mask 0x1f8 (no inf bits set)."""
instructions = [
s_mov_b32(s[0], 0x7c00), # f16 +inf
v_mov_b32_e32(v[0], s[0]),
s_mov_b32(s[1], 0x1f8), # class mask
v_cmp_class_f16_e64(VCC_LO, v[0], s[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 0, "VCC should be 0 for +inf with mask 0x1f8 (no inf bits)")
class TestCmpInt(unittest.TestCase):
"""Tests for integer comparison operations."""
def test_v_cmp_eq_u32(self):
"""V_CMP_EQ_U32 sets VCC bits based on per-lane comparison."""
instructions = [
s_mov_b32(s[0], 5),
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[0]),
v_cmp_eq_u32_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=4)
self.assertEqual(st.vcc & 0xf, 0xf, "All lanes should match")
def test_cmp_eq_u16_opsel_lo_lo(self):
"""V_CMP_EQ_U16 comparing lo halves."""
instructions = [
s_mov_b32(s[0], 0x12340005), # lo=5, hi=0x1234
s_mov_b32(s[1], 0xABCD0005), # lo=5, hi=0xABCD
v_mov_b32_e32(v[0], s[0]),
v_mov_b32_e32(v[1], s[1]),
v_cmp_eq_u16_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "Lo halves should be equal")
def test_cmp_eq_u16_opsel_hi_hi(self):
"""V_CMP_EQ_U16 comparing hi halves with VOP3 opsel."""
instructions = [
s_mov_b32(s[2], 0x00051234), # hi=5, lo=0x1234
v_mov_b32_e32(v[0], s[2]),
s_mov_b32(s[2], 0x0005ABCD), # hi=5, lo=0xABCD
v_mov_b32_e32(v[1], s[2]),
v_cmp_eq_u16_e64(vdst=s[0], src0=v[0], src1=v[1], opsel=3),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[0] & 1, 1, "Hi halves should be equal: 5==5")
def test_cmp_eq_u16_opsel_hi_hi_equal(self):
"""V_CMP_EQ_U16 VOP3 with opsel=3 compares hi halves (equal case)."""
instructions = [
s_mov_b32(s[2], 0x12340005), # lo=5, hi=0x1234
v_mov_b32_e32(v[0], s[2]),
s_mov_b32(s[2], 0x12340009), # lo=9, hi=0x1234
v_mov_b32_e32(v[1], s[2]),
v_cmp_eq_u16_e64(vdst=s[0], src0=v[0], src1=v[1], opsel=3),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[0] & 1, 1, "hi==hi should be true: 0x1234==0x1234")
def test_cmp_gt_u16_opsel_hi(self):
"""V_CMP_GT_U16 VOP3 with opsel=3 compares hi halves."""
instructions = [
s_mov_b32(s[2], 0x99990005), # lo=5, hi=0x9999
v_mov_b32_e32(v[0], s[2]),
s_mov_b32(s[2], 0x12340005), # lo=5, hi=0x1234
v_mov_b32_e32(v[1], s[2]),
v_cmp_gt_u16_e64(vdst=s[0], src0=v[0], src1=v[1], opsel=3),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[0] & 1, 1, "hi>hi should be true: 0x9999>0x1234")
class TestCmpFloat(unittest.TestCase):
"""Tests for float comparison operations."""
def test_v_cmp_lt_f16_vsrc1_hi(self):
"""V_CMP_LT_F16 with both operands from high half using VOP3 opsel."""
instructions = [
s_mov_b32(s[2], 0x3c000000), # hi=1.0 (f16), lo=0
v_mov_b32_e32(v[0], s[2]),
s_mov_b32(s[2], 0x40000000), # hi=2.0 (f16), lo=0
v_mov_b32_e32(v[1], s[2]),
v_cmp_lt_f16_e64(vdst=s[0], src0=v[0], src1=v[1], opsel=3),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[0] & 1, 1, "1.0 < 2.0 should be true")
def test_v_cmp_gt_f16_vsrc1_hi(self):
"""V_CMP_GT_F16 with both operands from high half using VOP3 opsel."""
instructions = [
s_mov_b32(s[2], 0x40000000), # hi=2.0 (f16), lo=0
v_mov_b32_e32(v[0], s[2]),
s_mov_b32(s[2], 0x3c000000), # hi=1.0 (f16), lo=0
v_mov_b32_e32(v[1], s[2]),
v_cmp_gt_f16_e64(vdst=s[0], src0=v[0], src1=v[1], opsel=3),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.sgpr[0] & 1, 1, "2.0 > 1.0 should be true")
def test_v_cmp_eq_f16_vsrc1_hi_equal(self):
"""v_cmp_eq_f16 with equal low and high halves."""
instructions = [
s_mov_b32(s[0], 0x42004200), # hi=3.0 (0x4200), lo=3.0 (0x4200)
v_mov_b32_e32(v[0], s[0]),
v_cmp_eq_f16_e32(v[0], v[0].h),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "Expected vcc=1 (3.0 == 3.0)")
def test_v_cmp_neq_f16_vsrc1_hi(self):
"""v_cmp_neq_f16 with different low and high halves."""
instructions = [
s_mov_b32(s[0], 0x40003c00), # hi=2.0 (0x4000), lo=1.0 (0x3c00)
v_mov_b32_e32(v[0], s[0]),
v_cmp_lg_f16_e32(v[0], v[0].h),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 1, "Expected vcc=1 (1.0 != 2.0)")
def test_v_cmp_nge_f16_inf_self(self):
"""v_cmp_nge_f16 comparing -inf with itself (unordered less than).
Regression test: -inf < -inf should be false (IEEE 754).
"""
instructions = [
s_mov_b32(s[0], 0xFC00FC00), # both halves = -inf (0xFC00)
v_mov_b32_e32(v[0], s[0]),
v_cmp_nge_f16_e32(v[0], v[0].h),
]
st = run_program(instructions, n_lanes=1)
self.assertEqual(st.vcc & 1, 0, "Expected vcc=0 (-inf >= -inf)")
def test_v_cmp_f16_multilane(self):
"""v_cmp_lt_f16 with vsrc1=v128 across multiple lanes."""
instructions = [
# Lane 0: v0 = 0x40003c00 (hi=2.0, lo=1.0) -> 1.0 < 2.0 = true
# Lane 1: v0 = 0x3c004000 (hi=1.0, lo=2.0) -> 2.0 < 1.0 = false
v_mov_b32_e32(v[0], 0x40003c00), # default
v_cmp_eq_u32_e32(1, v[255]), # vcc = (lane == 1)
v_cndmask_b32_e64(v[0], v[0], 0x3c004000, SrcEnum.VCC_LO),
v_cmp_lt_f16_e32(v[0], v[0].h),
]
st = run_program(instructions, n_lanes=2)
self.assertEqual(st.vcc & 1, 1, "Lane 0: expected vcc=1 (1.0 < 2.0)")
self.assertEqual((st.vcc >> 1) & 1, 0, "Lane 1: expected vcc=0 (2.0 < 1.0)")
class TestVCCBehavior(unittest.TestCase):
"""Tests for VCC condition code behavior."""
def test_vcc_all_lanes_true(self):
"""VCC should have all bits set when all lanes compare true."""
instructions = [
v_mov_b32_e32(v[0], 5),
v_mov_b32_e32(v[1], 5),
v_cmp_eq_u32_e32(v[0], v[1]),
]
st = run_program(instructions, n_lanes=32)
self.assertEqual(st.vcc, 0xFFFFFFFF, "All 32 lanes should be true")
def test_vcc_lane_dependent(self):
"""VCC should differ per lane based on lane_id comparison."""
instructions = [
v_mov_b32_e32(v[0], 16),
v_cmp_lt_u32_e32(v[255], v[0]), # lanes 0-15 are < 16
]
st = run_program(instructions, n_lanes=32)
self.assertEqual(st.vcc & 0xFFFF, 0xFFFF, "Lanes 0-15 should be true")
self.assertEqual(st.vcc >> 16, 0x0000, "Lanes 16-31 should be false")
if __name__ == '__main__':
unittest.main()
@@ -9,10 +9,9 @@ os.environ["AMD"] = "1"
os.environ["MOCKGPU"] = "1"
os.environ["PYTHON_REMU"] = "1"
from extra.assembly.amd.emu import WaveState, decode_program, step_wave, WAVE_SIZE, set_valid_mem_ranges
from extra.assembly.amd.emu import WaveState, decode_program, WAVE_SIZE, set_valid_mem_ranges, LDSMem
from extra.assembly.amd.test.helpers import KernelInfo
REMU_PATH = Path(__file__).parents[3] / "remu/target/release/libremu.so"
from extra.assembly.amd.test.bench_emu import REMU_PATH
def _is_f32_nan(bits: int) -> bool:
"""Check if 32-bit value is a NaN (exponent all 1s, mantissa non-zero)."""
@@ -92,19 +91,15 @@ class PythonEmulator:
def __init__(self):
self.state: WaveState | None = None
self.program: dict | None = None
self.lds: bytearray | None = None
self.n_lanes = 0
def create(self, kernel: bytes, n_lanes: int):
self.program = decode_program(kernel)
self.state = WaveState()
self.state = WaveState(LDSMem(bytearray(65536)), n_lanes)
self.state.exec_mask = (1 << n_lanes) - 1
self.lds = bytearray(65536)
self.n_lanes = n_lanes
def step(self) -> int:
assert self.program is not None and self.state is not None and self.lds is not None
return step_wave(self.program, self.state, self.lds, self.n_lanes)
assert self.program is not None and self.state is not None
return self.program[self.state.pc]._dispatch(self.state, self.program[self.state.pc])
def set_sgpr(self, idx: int, val: int):
assert self.state is not None
self.state.sgpr[idx] = val & 0xffffffff
@@ -163,8 +158,9 @@ def run_single_kernel(kernel: bytes, n_lanes: int, args_ptr: int, global_size: t
# Instructions with known Rust emulator bugs - sync Python to Rust after execution
# v_div_scale/v_div_fixup: Rust has different VCC handling
# v_cvt_f16_f32: Rust clears high 16 bits, but hardware (and Python) preserves them
# s_add_i32/s_sub_i32: Rust has incorrect SCC overflow detection
sync_after = any(x in inst_str for x in ('v_div_scale_f32', 'v_div_scale_f64', 'v_div_fixup_f32', 'v_div_fixup_f64',
'v_cvt_f16_f32'))
'v_cvt_f16_f32', 's_add_i32', 's_sub_i32'))
diffs = rust_before.diff(python_before, n_lanes)
if diffs:
trace_lines = []
@@ -397,6 +393,9 @@ class TestTinygradKernels(unittest.TestCase):
x_np = np.random.randn(16, 10).astype(np.float32)
self._test_kernel(lambda T: (T(x_np.tolist()).reshape(16,10) + 0).cross_entropy((T(classes).int().reshape(16) + 0)))
def test_isinf(self): self._test_kernel(lambda T: T([float('-inf'), 0., float('inf'), 1.1]*8).isinf())
def test_sin_f64(self):
from tinygrad import dtypes
self._test_kernel(lambda T: T([2.0], dtype=dtypes.float64).sin())
if __name__ == "__main__":
unittest.main()
@@ -0,0 +1,48 @@
import unittest
import functools
from tinygrad import Tensor, Device, dtypes
from tinygrad.uop.ops import UOp, Ops, KernelInfo
from tinygrad.renderer import Estimates
from tinygrad.runtime.support.compiler_amd import HIPCompiler
from extra.assembly.amd.autogen.rdna3.ins import *
from extra.assembly.amd.dsl import s, v, Inst
def assemble_insts(insts:list[Inst], name:str, arch:str, kernarg_size:int=8) -> tuple[UOp, UOp]:
kd = {"kernarg_size":kernarg_size, "user_sgpr_kernarg_segment_ptr":1, "next_free_vgpr":8, "next_free_sgpr":8, "wavefront_size32":1}
disasm = "\n".join([inst.disasm() for inst in insts])
hsasrc = f".text\n.globl {name}\n.p2align 8\n.type fn_name,@function\n{name}:\n{disasm}\ns_code_end\n"
hsasrc += f".rodata\n.p2align 6\n.amdhsa_kernel {name}\n"+"\n".join([f".amdhsa_{k} {v}" for k,v in kd.items()])+"\n.end_amdhsa_kernel"
binary = HIPCompiler(arch).compile(hsasrc)
return UOp(Ops.SOURCE, arg=disasm), UOp(Ops.BINARY, arg=binary)
def custom_add_one(A:UOp, arch:str) -> UOp:
A = A.flatten()
assert dtypes.is_float(A.dtype.base), f"buffer dtype must be float32, got {A.dtype}"
threads = UOp.special(A.size, "lidx0")
insts = [
s_load_b64(s[0:1], s[0:1], soffset=NULL),
s_waitcnt(lgkmcnt=0),
v_lshlrev_b32_e32(v[0], 2, v[0]), # element offset
global_load_b32(v[1], v[0], saddr=s[0:1]),
s_waitcnt(vmcnt=0),
v_mov_b32_e32(v[2], 1.0),
v_add_f32_e32(v[1], v[1], v[2]),
global_store_b32(addr=v[0], data=v[1], saddr=s[0:1]),
s_endpgm(),
]
sink = UOp.sink(A.base, threads, arg=KernelInfo(name:=f"custom_add_one_{A.size}", estimates=Estimates(ops=A.size, mem=A.size*4*2)))
return UOp(Ops.PROGRAM, src=(sink, UOp(Ops.DEVICE, arg="AMD"), UOp(Ops.LINEAR, src=(*sink.src, sink)), *assemble_insts(insts, name, arch)))
class TestCustomKernel(unittest.TestCase):
def test_simple(self):
a = Tensor.full((16, 16), 1.).contiguous().realize()
a = Tensor.custom_kernel(a, fxn=functools.partial(custom_add_one, arch=Device[Device.DEFAULT].arch))[0]
ei = a.schedule()[-1].lower()
self.assertEqual(ei.prg.estimates.ops, a.numel())
self.assertEqual(ei.prg.estimates.mem, a.nbytes()*2)
ei.run()
self.assertTrue((a.numpy() == 2.).all())
if __name__ == "__main__":
unittest.main()
+170
View File
@@ -0,0 +1,170 @@
import unittest
from extra.assembly.amd.dsl import *
from extra.assembly.amd.dsl import VDSTYField
from extra.assembly.amd.autogen.rdna3.enum import VOP1Op, VOP2Op
from extra.assembly.amd.autogen.rdna3.ins import VOP1
class TestRegisters(unittest.TestCase):
def test_vgpr_single(self):
self.assertEqual(repr(v[5]), "v[5]")
self.assertEqual(v[5].offset, 261) # 256 + 5
self.assertEqual(v[5].sz, 1)
def test_sgpr_single(self):
self.assertEqual(repr(s[10]), "s[10]")
self.assertEqual(s[10].offset, 10)
def test_vgpr_range(self):
self.assertEqual(repr(v[0:3]), "v[0:3]")
self.assertEqual(v[0:3].offset, 256)
self.assertEqual(v[0:3].sz, 4)
def test_sgpr_range(self):
self.assertEqual(repr(s[4:5]), "s[4:5]")
self.assertEqual(s[4:5].sz, 2)
def test_ttmp_reslice(self):
# ttmp is src[108:123], so ttmp[0] should be src[108]
self.assertEqual(ttmp[0].offset, 108)
self.assertEqual(ttmp[1].offset, 109)
# ttmp[0:1] is 2 elements (inclusive slicing)
self.assertEqual(ttmp[0:1].offset, 108)
self.assertEqual(ttmp[0:1].sz, 2)
# ttmp[0:1][0] should be src[108]
self.assertEqual(ttmp[0:1][0].offset, 108)
def test_special_regs(self):
self.assertEqual(NULL.offset, 124)
self.assertEqual(M0.offset, 125)
self.assertEqual(EXEC_LO.offset, 126)
self.assertEqual(EXEC_HI.offset, 127)
# Check repr round-trips
self.assertEqual(repr(NULL), "NULL")
self.assertEqual(repr(M0), "M0")
self.assertEqual(repr(EXEC_LO), "EXEC_LO")
self.assertEqual(repr(EXEC), "EXEC")
def test_vcc(self):
self.assertEqual(VCC.offset, 106)
self.assertEqual(VCC.sz, 2)
self.assertEqual(VCC_LO.offset, 106)
self.assertEqual(VCC_HI.offset, 107)
# Check repr round-trips
self.assertEqual(repr(VCC_LO), "VCC_LO")
self.assertEqual(repr(VCC_HI), "VCC_HI")
self.assertEqual(repr(VCC), "VCC")
def test_float_constants(self):
self.assertEqual(src[240].offset, 240)
self.assertEqual(repr(src[240]), "0.5")
self.assertEqual(repr(src[242]), "1.0")
self.assertEqual(repr(src[243]), "-1.0")
def test_int_constants(self):
self.assertEqual(repr(src[128]), "0")
self.assertEqual(repr(src[129]), "1")
self.assertEqual(repr(src[192]), "64")
self.assertEqual(repr(src[193]), "-1")
self.assertEqual(repr(src[208]), "-16")
class TestEnumBitField(unittest.TestCase):
def test_enum_name(self):
self.assertEqual(VOP1Op.V_MOV_B32_E32.name, "V_MOV_B32_E32")
def test_enum_value(self):
self.assertEqual(VOP1Op.V_MOV_B32_E32.value, 1)
def test_enum_comparison(self):
self.assertEqual(VOP1Op.V_MOV_B32_E32, VOP1Op.V_MOV_B32_E32)
self.assertNotEqual(VOP1Op.V_NOP_E32, VOP1Op.V_MOV_B32_E32)
def test_enum_different_types(self):
# VOP1Op and VOP2Op are different enums, even if same value
self.assertNotEqual(VOP1Op.V_MOV_B32_E32, VOP2Op.V_CNDMASK_B32_E32)
def test_wrong_enum_type_raises(self):
# Passing VOP2Op to VOP1 should raise
with self.assertRaises(RuntimeError):
VOP1(VOP2Op.V_CNDMASK_B32_E32, v[5], v[6])
class TestVOP1(unittest.TestCase):
def test_class_setup(self):
self.assertEqual(VOP1._size(), 4)
field_names = [n for n, _ in VOP1._fields]
self.assertIn('encoding', field_names)
self.assertIn('op', field_names)
self.assertIn('vdst', field_names)
self.assertIn('src0', field_names)
def test_encoding_vgpr_vgpr(self):
i = VOP1(VOP1Op.V_MOV_B32_E32, v[5], v[6])
raw = i._raw
# Check each field
self.assertEqual((raw >> 25) & 0x7f, 0b0111111) # encoding
self.assertEqual((raw >> 17) & 0xff, 5) # vdst (just VGPR index)
self.assertEqual((raw >> 9) & 0xff, 1) # op
self.assertEqual(raw & 0x1ff, 262) # src0 (256 + 6)
def test_encoding_vgpr_sgpr(self):
i = VOP1(VOP1Op.V_MOV_B32_E32, v[5], s[10])
raw = i._raw
self.assertEqual((raw >> 17) & 0xff, 5) # vdst (just VGPR index)
self.assertEqual(raw & 0x1ff, 10) # src0 (SGPR encoded)
def test_to_bytes(self):
i = VOP1(VOP1Op.V_MOV_B32_E32, v[5], v[6])
b = i.to_bytes()
self.assertEqual(len(b), 4)
self.assertEqual(int.from_bytes(b, 'little'), i._raw)
def test_from_bytes(self):
i1 = VOP1(VOP1Op.V_MOV_B32_E32, v[5], v[6])
i2 = VOP1.from_bytes(i1.to_bytes())
self.assertEqual(i1._raw, i2._raw)
def test_repr(self):
i = VOP1(VOP1Op.V_MOV_B32_E32, v[5], v[6])
self.assertEqual(repr(i), "v_mov_b32_e32(v[5], v[6])")
def test_repr_sgpr_src(self):
i = VOP1(VOP1Op.V_MOV_B32_E32, v[5], s[10])
self.assertEqual(repr(i), "v_mov_b32_e32(v[5], s[10])")
def test_kwargs(self):
i1 = VOP1(VOP1Op.V_MOV_B32_E32, v[5], v[6])
i2 = VOP1(op=VOP1Op.V_MOV_B32_E32, vdst=v[5], src0=v[6])
self.assertEqual(i1._raw, i2._raw)
def test_kwargs_partial(self):
i1 = VOP1(VOP1Op.V_MOV_B32_E32, v[5], v[6])
i2 = VOP1(VOP1Op.V_MOV_B32_E32, src0=v[6], vdst=v[5])
self.assertEqual(i1._raw, i2._raw)
class TestVDSTYField(unittest.TestCase):
def test_encode_even_vgpr(self):
f = VDSTYField(6, 0) # 7-bit field
self.assertEqual(f.encode(v[0]), 0)
self.assertEqual(f.encode(v[2]), 1)
self.assertEqual(f.encode(v[4]), 2)
self.assertEqual(f.encode(v[254]), 127)
def test_encode_non_vgpr_raises(self):
f = VDSTYField(6, 0)
with self.assertRaises(ValueError) as ctx:
f.encode(s[0])
self.assertIn("VGPR", str(ctx.exception))
def test_encode_non_reg_raises(self):
f = VDSTYField(6, 0)
with self.assertRaises(TypeError) as ctx:
f.encode(42)
self.assertIn("Reg", str(ctx.exception))
def test_decode_returns_raw(self):
f = VDSTYField(6, 0)
# decode returns raw value, actual vdsty computed with vdstx context
self.assertEqual(f.decode(0), 0)
self.assertEqual(f.decode(127), 127)
if __name__ == "__main__":
unittest.main()
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@@ -1,176 +1,13 @@
#!/usr/bin/env python3
"""Test MUBUF, MTBUF, MIMG, EXP, DS formats against LLVM."""
"""Test DS and other compute-relevant instruction formats.
Note: Graphics-only formats (EXP, MUBUF, MTBUF, MIMG) are not supported - use GLOBAL/FLAT for memory access in compute.
"""
import unittest
from extra.assembly.amd.autogen.rdna3.ins import *
from extra.assembly.amd.dsl import encode_src, RawImm
from extra.assembly.amd.asm import detect_format
class TestMUBUF(unittest.TestCase):
"""Test MUBUF (buffer) instructions."""
def test_buffer_load_b32_basic(self):
# buffer_load_b32 v5, off, s[8:11], s3 offset:4095
# GFX11: encoding: [0xff,0x0f,0x50,0xe0,0x00,0x05,0x02,0x03]
inst = buffer_load_b32(vdata=v[5], vaddr=v[0], srsrc=s[8:12], soffset=s[3], offset=4095)
self.assertEqual(inst.to_bytes(), bytes([0xff,0x0f,0x50,0xe0,0x00,0x05,0x02,0x03]))
def test_buffer_load_b32_idxen(self):
# buffer_load_b32 v5, v0, s[8:11], s3 idxen offset:4095
# GFX11: encoding: [0xff,0x0f,0x50,0xe0,0x00,0x05,0x82,0x03]
inst = buffer_load_b32(vdata=v[5], vaddr=v[0], srsrc=s[8:12], soffset=s[3], offset=4095, idxen=1)
self.assertEqual(inst.to_bytes(), bytes([0xff,0x0f,0x50,0xe0,0x00,0x05,0x82,0x03]))
def test_buffer_load_b32_offen(self):
# buffer_load_b32 v5, v0, s[8:11], s3 offen offset:4095
# GFX11: encoding: [0xff,0x0f,0x50,0xe0,0x00,0x05,0x42,0x03]
inst = buffer_load_b32(vdata=v[5], vaddr=v[0], srsrc=s[8:12], soffset=s[3], offset=4095, offen=1)
self.assertEqual(inst.to_bytes(), bytes([0xff,0x0f,0x50,0xe0,0x00,0x05,0x42,0x03]))
def test_buffer_load_b32_glc(self):
# buffer_load_b32 v5, off, s[8:11], s3 offset:4095 glc
# GFX11: encoding: [0xff,0x4f,0x50,0xe0,0x00,0x05,0x02,0x03]
inst = buffer_load_b32(vdata=v[5], vaddr=v[0], srsrc=s[8:12], soffset=s[3], offset=4095, glc=1)
self.assertEqual(inst.to_bytes(), bytes([0xff,0x4f,0x50,0xe0,0x00,0x05,0x02,0x03]))
def test_buffer_load_b32_slc(self):
# buffer_load_b32 v5, off, s[8:11], s3 offset:4095 slc
# GFX11: encoding: [0xff,0x1f,0x50,0xe0,0x00,0x05,0x02,0x03]
inst = buffer_load_b32(vdata=v[5], vaddr=v[0], srsrc=s[8:12], soffset=s[3], offset=4095, slc=1)
self.assertEqual(inst.to_bytes(), bytes([0xff,0x1f,0x50,0xe0,0x00,0x05,0x02,0x03]))
def test_buffer_load_b32_dlc(self):
# buffer_load_b32 v5, off, s[8:11], s3 offset:4095 dlc
# GFX11: encoding: [0xff,0x2f,0x50,0xe0,0x00,0x05,0x02,0x03]
inst = buffer_load_b32(vdata=v[5], vaddr=v[0], srsrc=s[8:12], soffset=s[3], offset=4095, dlc=1)
self.assertEqual(inst.to_bytes(), bytes([0xff,0x2f,0x50,0xe0,0x00,0x05,0x02,0x03]))
def test_buffer_load_b32_all_flags(self):
# buffer_load_b32 v5, off, s[8:11], s3 offset:4095 glc slc dlc
# GFX11: encoding: [0xff,0x7f,0x50,0xe0,0x00,0x05,0x02,0x03]
inst = buffer_load_b32(vdata=v[5], vaddr=v[0], srsrc=s[8:12], soffset=s[3], offset=4095, glc=1, slc=1, dlc=1)
self.assertEqual(inst.to_bytes(), bytes([0xff,0x7f,0x50,0xe0,0x00,0x05,0x02,0x03]))
def test_buffer_store_b32(self):
# buffer_store_b32 v1, off, s[12:15], s4 offset:4095
# GFX11: encoding: [0xff,0x0f,0x68,0xe0,0x00,0x01,0x03,0x04]
inst = buffer_store_b32(vdata=v[1], vaddr=v[0], srsrc=s[12:16], soffset=s[4], offset=4095)
self.assertEqual(inst.to_bytes(), bytes([0xff,0x0f,0x68,0xe0,0x00,0x01,0x03,0x04]))
def test_buffer_load_b64(self):
# buffer_load_b64 v[5:6], off, s[8:11], s3 offset:4095
# GFX11: encoding: [0xff,0x0f,0x54,0xe0,0x00,0x05,0x02,0x03]
inst = buffer_load_b64(vdata=v[5:7], vaddr=v[0], srsrc=s[8:12], soffset=s[3], offset=4095)
self.assertEqual(inst.to_bytes(), bytes([0xff,0x0f,0x54,0xe0,0x00,0x05,0x02,0x03]))
def test_buffer_load_soffset_m0(self):
# buffer_load_b32 v5, off, s[8:11], m0 offset:4095
# GFX11: encoding: [0xff,0x0f,0x50,0xe0,0x00,0x05,0x02,0x7d]
inst = buffer_load_b32(vdata=v[5], vaddr=v[0], srsrc=s[8:12], soffset=M0, offset=4095)
self.assertEqual(inst.to_bytes(), bytes([0xff,0x0f,0x50,0xe0,0x00,0x05,0x02,0x7d]))
def test_buffer_load_soffset_inline_const(self):
# buffer_load_b32 v5, off, s[8:11], 0 offset:4095
# GFX11: encoding: [0xff,0x0f,0x50,0xe0,0x00,0x05,0x02,0x80]
inst = buffer_load_b32(vdata=v[5], vaddr=v[0], srsrc=s[8:12], soffset=0, offset=4095)
self.assertEqual(inst.to_bytes(), bytes([0xff,0x0f,0x50,0xe0,0x00,0x05,0x02,0x80]))
def test_buffer_disasm_roundtrip(self):
inst = buffer_load_b32(vdata=v[5], vaddr=v[0], srsrc=s[8:12], soffset=s[3], offset=4095, glc=1)
decoded = MUBUF.from_bytes(inst.to_bytes())
self.assertEqual(decoded.to_bytes(), inst.to_bytes())
class TestMTBUF(unittest.TestCase):
"""Test MTBUF (typed buffer) instructions."""
def test_tbuffer_load_format_x(self):
# tbuffer_load_format_x v5, off, s[8:11], s3 format:[BUF_FMT_32_FLOAT] offset:4095
# BUF_FMT_32_FLOAT = 22
# GFX11: encoding: [0xff,0x0f,0xb0,0xe8,0x00,0x05,0x02,0x03]
inst = tbuffer_load_format_x(vdata=v[5], vaddr=v[0], srsrc=s[8:12], soffset=s[3], offset=4095, format=22)
self.assertEqual(inst.to_bytes(), bytes([0xff,0x0f,0xb0,0xe8,0x00,0x05,0x02,0x03]))
def test_tbuffer_store_format_x(self):
# tbuffer_store_format_x v5, off, s[8:11], s3 format:[BUF_FMT_32_FLOAT] offset:4095
# BUF_FMT_32_FLOAT = 22
# GFX11: encoding: [0xff,0x0f,0xb2,0xe8,0x00,0x05,0x02,0x03]
inst = tbuffer_store_format_x(vdata=v[5], vaddr=v[0], srsrc=s[8:12], soffset=s[3], offset=4095, format=22)
self.assertEqual(inst.to_bytes(), bytes([0xff,0x0f,0xb2,0xe8,0x00,0x05,0x02,0x03]))
def test_tbuffer_load_format_xy(self):
# tbuffer_load_format_xy v[5:6], off, s[8:11], s3 format:[BUF_FMT_32_32_FLOAT] offset:4095
# BUF_FMT_32_32_FLOAT = 50
# GFX11: encoding: [0xff,0x8f,0x90,0xe9,0x00,0x05,0x02,0x03]
inst = tbuffer_load_format_xy(vdata=v[5:7], vaddr=v[0], srsrc=s[8:12], soffset=s[3], offset=4095, format=50)
self.assertEqual(inst.to_bytes(), bytes([0xff,0x8f,0x90,0xe9,0x00,0x05,0x02,0x03]))
class TestMIMG(unittest.TestCase):
"""Test MIMG (image) instructions."""
def test_image_load_2d(self):
# image_load v[0:3], v[4:5], s[0:7] dmask:0xf dim:SQ_RSRC_IMG_2D
# GFX11: encoding: [0x04,0x0f,0x00,0xf0,0x04,0x00,0x00,0x00]
inst = image_load(vdata=v[0:4], vaddr=v[4:6], srsrc=s[0:8], dmask=0xf, dim=1) # dim=1 is SQ_RSRC_IMG_2D
self.assertEqual(inst.to_bytes(), bytes([0x04,0x0f,0x00,0xf0,0x04,0x00,0x00,0x00]))
def test_image_store_2d(self):
# image_store v[0:3], v[4:5], s[0:7] dmask:0xf dim:SQ_RSRC_IMG_2D
# GFX11: encoding: [0x04,0x0f,0x18,0xf0,0x04,0x00,0x00,0x00]
inst = image_store(vdata=v[0:4], vaddr=v[4:6], srsrc=s[0:8], dmask=0xf, dim=1)
self.assertEqual(inst.to_bytes(), bytes([0x04,0x0f,0x18,0xf0,0x04,0x00,0x00,0x00]))
def test_image_load_1d(self):
# image_load v[0:3], v4, s[0:7] dmask:0xf dim:SQ_RSRC_IMG_1D
# GFX11: encoding: [0x00,0x0f,0x00,0xf0,0x04,0x00,0x00,0x00]
inst = image_load(vdata=v[0:4], vaddr=v[4], srsrc=s[0:8], dmask=0xf, dim=0) # dim=0 is SQ_RSRC_IMG_1D
self.assertEqual(inst.to_bytes(), bytes([0x00,0x0f,0x00,0xf0,0x04,0x00,0x00,0x00]))
def test_image_sample(self):
# image_sample v[0:3], v[4:5], s[0:7], s[8:11] dmask:0xf dim:SQ_RSRC_IMG_2D
# GFX11: encoding: [0x04,0x0f,0x6c,0xf0,0x04,0x00,0x00,0x08]
inst = image_sample(vdata=v[0:4], vaddr=v[4:6], srsrc=s[0:8], ssamp=s[8:12], dmask=0xf, dim=1)
self.assertEqual(inst.to_bytes(), bytes([0x04,0x0f,0x6c,0xf0,0x04,0x00,0x00,0x08]))
def test_image_load_d16(self):
# image_load v[0:1], v[4:5], s[0:7] dmask:0xf dim:SQ_RSRC_IMG_2D d16
# GFX11: encoding: [0x04,0x0f,0x02,0xf0,0x04,0x00,0x00,0x00]
inst = image_load(vdata=v[0:2], vaddr=v[4:6], srsrc=s[0:8], dmask=0xf, dim=1, d16=1)
self.assertEqual(inst.to_bytes(), bytes([0x04,0x0f,0x02,0xf0,0x04,0x00,0x00,0x00]))
class TestEXP(unittest.TestCase):
"""Test EXP (export) instructions."""
def test_exp_mrt0(self):
# exp mrt0 v0, v1, v2, v3
# GFX11: encoding: [0x0f,0x00,0x00,0xf8,0x00,0x01,0x02,0x03]
inst = EXP(en=0xf, target=0, vsrc0=v[0], vsrc1=v[1], vsrc2=v[2], vsrc3=v[3])
self.assertEqual(inst.to_bytes(), bytes([0x0f,0x00,0x00,0xf8,0x00,0x01,0x02,0x03]))
def test_exp_mrtz(self):
# exp mrtz v4, v3, v2, v1
# GFX11: encoding: [0x8f,0x00,0x00,0xf8,0x04,0x03,0x02,0x01]
inst = EXP(en=0xf, target=8, vsrc0=v[4], vsrc1=v[3], vsrc2=v[2], vsrc3=v[1])
self.assertEqual(inst.to_bytes(), bytes([0x8f,0x00,0x00,0xf8,0x04,0x03,0x02,0x01]))
def test_exp_mrtz_done(self):
# exp mrtz v4, v3, v2, v1 done
# GFX11: encoding: [0x8f,0x08,0x00,0xf8,0x04,0x03,0x02,0x01]
inst = EXP(en=0xf, target=8, vsrc0=v[4], vsrc1=v[3], vsrc2=v[2], vsrc3=v[3], done=1)
self.assertEqual(inst.to_bytes(), bytes([0x8f,0x08,0x00,0xf8,0x04,0x03,0x02,0x03]))
def test_exp_partial_mask(self):
# exp mrt0 v0, v1, off, off (en=0x3, only first two components)
# GFX11: encoding: [0x03,0x00,0x00,0xf8,0x00,0x01,0x00,0x00]
inst = EXP(en=0x3, target=0, vsrc0=v[0], vsrc1=v[1], vsrc2=v[0], vsrc3=v[0])
self.assertEqual(inst.to_bytes(), bytes([0x03,0x00,0x00,0xf8,0x00,0x01,0x00,0x00]))
def test_exp_row_en(self):
# exp mrtz v4, v3, v2, v1 row_en
# GFX11: encoding: [0x8f,0x20,0x00,0xf8,0x04,0x03,0x02,0x01]
inst = EXP(en=0xf, target=8, vsrc0=v[4], vsrc1=v[3], vsrc2=v[2], vsrc3=v[1], row=1)
self.assertEqual(inst.to_bytes(), bytes([0x8f,0x20,0x00,0xf8,0x04,0x03,0x02,0x01]))
from extra.assembly.amd.dsl import VCC_HI, EXEC_LO, NULL
OFF = NULL # OFF is alias for NULL
from extra.assembly.amd.decode import detect_format
class TestDS(unittest.TestCase):
@@ -197,7 +34,7 @@ class TestDS(unittest.TestCase):
def test_ds_load_b64(self):
# ds_load_b64 v[0:1], v2
# GFX11: encoding: [0x00,0x00,0xd8,0xd9,0x02,0x00,0x00,0x00]
inst = ds_load_b64(vdst=v[0:2], addr=v[2])
inst = ds_load_b64(vdst=v[0:1], addr=v[2])
self.assertEqual(inst.to_bytes(), bytes([0x00,0x00,0xd8,0xd9,0x02,0x00,0x00,0x00]))
def test_ds_add_u32(self):
@@ -241,31 +78,31 @@ class TestFLAT(unittest.TestCase):
def test_global_load_b32(self):
# global_load_b32 v0, v[1:2], off (seg=2 for global)
# GFX11: encoding: [0x00,0x00,0x52,0xdc,0x01,0x00,0x7c,0x00]
inst = global_load_b32(vdst=v[0], addr=v[1:3], saddr=OFF)
inst = global_load_b32(vdst=v[0], addr=v[1:2], saddr=OFF)
self.assertEqual(inst.to_bytes(), bytes([0x00,0x00,0x52,0xdc,0x01,0x00,0x7c,0x00]))
def test_global_store_b32(self):
# global_store_b32 v[0:1], v2, off (seg=2 for global)
# GFX11: encoding: [0x00,0x00,0x6a,0xdc,0x00,0x02,0x7c,0x00]
inst = global_store_b32(addr=v[0:2], data=v[2], saddr=OFF)
inst = global_store_b32(addr=v[0:1], data=v[2], saddr=OFF)
self.assertEqual(inst.to_bytes(), bytes([0x00,0x00,0x6a,0xdc,0x00,0x02,0x7c,0x00]))
def test_global_load_b32_saddr(self):
# global_load_b32 v0, v1, s[0:1] (seg=2 for global)
# GFX11: encoding: [0x00,0x00,0x52,0xdc,0x01,0x00,0x00,0x00]
inst = global_load_b32(vdst=v[0], addr=v[1], saddr=s[0:2])
inst = global_load_b32(vdst=v[0], addr=v[1], saddr=s[0:1])
self.assertEqual(inst.to_bytes(), bytes([0x00,0x00,0x52,0xdc,0x01,0x00,0x00,0x00]))
def test_global_load_b32_offset(self):
# global_load_b32 v0, v[1:2], off offset:256 (seg=2 for global)
# GFX11: encoding: [0x00,0x01,0x52,0xdc,0x01,0x00,0x7c,0x00]
inst = global_load_b32(vdst=v[0], addr=v[1:3], saddr=OFF, offset=256)
inst = global_load_b32(vdst=v[0], addr=v[1:2], saddr=OFF, offset=256)
self.assertEqual(inst.to_bytes(), bytes([0x00,0x01,0x52,0xdc,0x01,0x00,0x7c,0x00]))
def test_global_load_b64(self):
# global_load_b64 v[0:1], v[2:3], off (seg=2 for global)
# GFX11: encoding: [0x00,0x00,0x56,0xdc,0x02,0x00,0x7c,0x00]
inst = global_load_b64(vdst=v[0:2], addr=v[2:4], saddr=OFF)
inst = global_load_b64(vdst=v[0:1], addr=v[2:3], saddr=OFF)
self.assertEqual(inst.to_bytes(), bytes([0x00,0x00,0x56,0xdc,0x02,0x00,0x7c,0x00]))
@@ -275,19 +112,19 @@ class TestSMEM(unittest.TestCase):
def test_smem_dlc_bit_position(self):
# s_load_b32 s5, s[2:3], s0 dlc - tests that DLC is at bit 13 (not bit 14)
# GFX11: encoding: [0x41,0x21,0x00,0xf4,0x00,0x00,0x00,0x00]
inst = s_load_b32(sdata=s[5], sbase=s[2], soffset=s[0], dlc=1)
inst = s_load_b32(sdata=s[5], sbase=s[2:3], soffset=s[0], dlc=1)
self.assertEqual(inst.to_bytes(), bytes([0x41,0x21,0x00,0xf4,0x00,0x00,0x00,0x00]))
def test_smem_glc_bit_position(self):
# s_load_b32 s5, s[2:3], s0 glc - tests that GLC is at bit 14 (not bit 16)
# GFX11: encoding: [0x41,0x41,0x00,0xf4,0x00,0x00,0x00,0x00]
inst = s_load_b32(sdata=s[5], sbase=s[2], soffset=s[0], glc=1)
inst = s_load_b32(sdata=s[5], sbase=s[2:3], soffset=s[0], glc=1)
self.assertEqual(inst.to_bytes(), bytes([0x41,0x41,0x00,0xf4,0x00,0x00,0x00,0x00]))
def test_smem_glc_dlc_combined(self):
# s_load_b32 s5, s[2:3], s0 glc dlc - tests both flags together
# GFX11: encoding: [0x41,0x61,0x00,0xf4,0x00,0x00,0x00,0x00]
inst = s_load_b32(sdata=s[5], sbase=s[2], soffset=s[0], glc=1, dlc=1)
inst = s_load_b32(sdata=s[5], sbase=s[2:3], soffset=s[0], glc=1, dlc=1)
self.assertEqual(inst.to_bytes(), bytes([0x41,0x61,0x00,0xf4,0x00,0x00,0x00,0x00]))
def test_smem_disasm_roundtrip_dlc(self):
@@ -309,23 +146,20 @@ class TestVOP3Literal(unittest.TestCase):
def test_vop3_with_literal(self):
# v_add3_u32 v5, vcc_hi, 0xaf123456, v255
# GFX11: encoding: [0x05,0x00,0x55,0xd6,0x6b,0xfe,0xfd,0x07,0x56,0x34,0x12,0xaf]
from extra.assembly.amd.dsl import RawImm
inst = VOP3(VOP3Op.V_ADD3_U32, vdst=v[5], src0=RawImm(107), src1=0xaf123456, src2=v[255])
inst = VOP3(VOP3Op.V_ADD3_U32, vdst=v[5], src0=VCC_HI, src1=0xaf123456, src2=v[255])
expected = bytes([0x05,0x00,0x55,0xd6,0x6b,0xfe,0xfd,0x07,0x56,0x34,0x12,0xaf])
self.assertEqual(inst.to_bytes(), expected)
def test_vop3_literal_null_operand(self):
# v_add3_u32 v5, null, exec_lo, 0xaf123456
# GFX11: encoding: [0x05,0x00,0x55,0xd6,0x7c,0xfc,0xfc,0x03,0x56,0x34,0x12,0xaf]
from extra.assembly.amd.dsl import RawImm
inst = VOP3(VOP3Op.V_ADD3_U32, vdst=v[5], src0=NULL, src1=RawImm(126), src2=0xaf123456)
inst = VOP3(VOP3Op.V_ADD3_U32, vdst=v[5], src0=NULL, src1=EXEC_LO, src2=0xaf123456)
expected = bytes([0x05,0x00,0x55,0xd6,0x7c,0xfc,0xfc,0x03,0x56,0x34,0x12,0xaf])
self.assertEqual(inst.to_bytes(), expected)
def test_vop3p_with_literal(self):
# Test VOP3P literal encoding (also uses Inst64)
from extra.assembly.amd.dsl import RawImm
inst = VOP3P(VOP3POp.V_PK_ADD_F16, vdst=v[5], src0=RawImm(240), src1=0x12345678, src2=v[0])
inst = VOP3P(VOP3POp.V_PK_ADD_F16, vdst=v[5], src0=0.5, src1=0x12345678, src2=v[0])
self.assertEqual(len(inst.to_bytes()), 12) # 8 bytes + 4 byte literal
@@ -371,28 +205,16 @@ class TestDetectFormat(unittest.TestCase):
self.assertEqual(detect_format(VOP3P(VOP3POp.V_PK_ADD_F16, v[0], v[1], v[2], v[3]).to_bytes()), VOP3P)
def test_detect_smem(self):
self.assertEqual(detect_format(s_load_b32(s[0], s[2:3], 0).to_bytes()), SMEM)
self.assertEqual(detect_format(s_load_b64(s[0:1], s[2:3], s[5]).to_bytes()), SMEM)
self.assertEqual(detect_format(s_load_b32(sdata=s[0], sbase=s[2:3], offset=0).to_bytes()), SMEM)
self.assertEqual(detect_format(s_load_b64(sdata=s[0:1], sbase=s[2:3], soffset=s[5]).to_bytes()), SMEM)
def test_detect_ds(self):
self.assertEqual(detect_format(ds_load_b32(v[0], v[1]).to_bytes()), DS)
self.assertEqual(detect_format(ds_store_b32(v[0], v[1]).to_bytes()), DS)
def test_detect_flat(self):
self.assertEqual(detect_format(global_load_b32(v[0], v[1:3], RawImm(124)).to_bytes()), FLAT)
self.assertEqual(detect_format(global_store_b32(v[0:2], v[2], RawImm(124)).to_bytes()), FLAT)
def test_detect_mubuf(self):
self.assertEqual(detect_format(buffer_load_b32(v[0], v[1], s[0:4], s[5]).to_bytes()), MUBUF)
def test_detect_mtbuf(self):
self.assertEqual(detect_format(tbuffer_load_format_x(v[0], v[1], s[0:4], s[5], format=22).to_bytes()), MTBUF)
def test_detect_mimg(self):
self.assertEqual(detect_format(image_load(v[0:4], v[4:6], s[0:8], dmask=0xf, dim=1).to_bytes()), MIMG)
def test_detect_exp(self):
self.assertEqual(detect_format(EXP(en=0xf, target=0, vsrc0=v[0], vsrc1=v[1], vsrc2=v[2], vsrc3=v[3]).to_bytes()), EXP)
self.assertEqual(detect_format(global_load_b32(vdst=v[0], addr=v[1:2], saddr=NULL).to_bytes()), FLAT)
self.assertEqual(detect_format(global_store_b32(addr=v[0:1], data=v[2], saddr=NULL).to_bytes()), FLAT)
def test_detect_vopd(self):
inst = VOPD(VOPDOp.V_DUAL_MOV_B32, VOPDOp.V_DUAL_MOV_B32, vdstx=v[0], vdsty=v[1], srcx0=0, srcy0=0)
+8 -9
View File
@@ -4,7 +4,6 @@
import unittest, struct
from extra.assembly.amd.autogen.rdna3.ins import *
from extra.assembly.amd.dsl import Inst
from extra.assembly.amd.asm import asm
from extra.assembly.amd.test.test_roundtrip import compile_asm
class TestIntegration(unittest.TestCase):
@@ -13,20 +12,20 @@ class TestIntegration(unittest.TestCase):
if not hasattr(self, 'inst'): return
b = self.inst.to_bytes()
st = self.inst.disasm()
reasm = asm(st)
desc = f"{st:25s} {self.inst} {b!r} {reasm}"
# Test that the instruction can be compiled by LLVM and produces the same bytes
desc = f"{st:25s} {self.inst} {b!r}"
self.assertEqual(b, compile_asm(st), desc)
# TODO: this compare should work for valid things
#self.assertEqual(self.inst, reasm)
self.assertEqual(repr(self.inst), repr(reasm))
print(desc)
def test_wmma(self):
self.inst = v_wmma_f32_16x16x16_f16(v[0:7], v[184:191], v[136:143], v[0:7])
def test_load_b128(self):
self.inst = s_load_b128(s[4:7], s[0:1], NULL, 0)
def test_load_b128_wrong_size(self):
# this should have to be 4 regs on the loaded to
with self.assertRaises(Exception):
with self.assertRaises(TypeError):
self.inst = s_load_b128(s[4:6], s[0:1], NULL, 0)
def test_mov_b32(self):
@@ -140,7 +139,7 @@ class TestRegisterSliceSyntax(unittest.TestCase):
def test_register_slice_count(self):
# s[4:7] should give 4 registers: s4, s5, s6, s7 (AMD convention, inclusive)
reg = s[4:7]
self.assertEqual(reg.count, 4, "s[4:7] should give 4 registers (s4, s5, s6, s7)")
self.assertEqual(reg.sz, 4, "s[4:7] should give 4 registers (s4, s5, s6, s7)")
def test_register_slice_roundtrip(self):
# Round-trip: DSL -> disasm -> DSL should preserve register count
@@ -151,7 +150,7 @@ class TestRegisterSliceSyntax(unittest.TestCase):
self.assertIn("s[4:7]", disasm)
# And s[4:7] in DSL should give the same 4 registers
reg_from_disasm = s[4:7]
self.assertEqual(reg_from_disasm.count, 4, "s[4:7] from disasm should give 4 registers")
self.assertEqual(reg_from_disasm.sz, 4, "s[4:7] from disasm should give 4 registers")
class TestInstructionEquality(unittest.TestCase):
"""
+9 -81
View File
@@ -1,9 +1,10 @@
#!/usr/bin/env python3
"""Integration test: round-trip RDNA3 assembly through AMD toolchain."""
import unittest, re, io, sys, subprocess
import unittest, io, sys
from extra.assembly.amd.autogen.rdna3.ins import *
from extra.assembly.amd.asm import waitcnt, asm
from extra.assembly.amd.test.helpers import get_llvm_mc
def waitcnt(vmcnt: int = 0x3f, expcnt: int = 0x7, lgkmcnt: int = 0x3f) -> int:
return (expcnt & 0x7) | ((lgkmcnt & 0x3f) << 4) | ((vmcnt & 0x3f) << 10)
def disassemble(lib: bytes, arch: str = "gfx1100") -> str:
"""Disassemble ELF binary using tinygrad's compiler, return raw output."""
@@ -40,7 +41,7 @@ def assemble_and_disassemble(instructions: list, arch: str = "gfx1100") -> list[
return parse_disassembly(disassemble(lib, arch))
class TestIntegration(unittest.TestCase):
"""Test our assembler output matches LLVM disassembly."""
"""Test our DSL output matches LLVM disassembly."""
def test_simple_sop1(self):
"""Test SOP1 instructions round-trip."""
@@ -90,9 +91,9 @@ class TestIntegration(unittest.TestCase):
def test_memory_ops(self):
"""Test memory instructions."""
instructions = [
s_load_b32(s[0], s[0:2], NULL),
s_load_b32(s[0], s[0:1], NULL),
s_waitcnt(simm16=waitcnt(lgkmcnt=0)),
global_store_b32(addr=v[0:2], data=v[2], saddr=OFF),
global_store_b32(addr=v[0:1], data=v[2], saddr=OFF),
s_endpgm(),
]
disasm = assemble_and_disassemble(instructions)
@@ -108,12 +109,12 @@ class TestIntegration(unittest.TestCase):
v_mov_b32_e32(v[0], s[0]), # base addr low
v_mov_b32_e32(v[1], s[1]), # base addr high
# Load value
global_load_b32(vdst=v[2], addr=v[0:2], saddr=OFF),
global_load_b32(vdst=v[2], addr=v[0:1], saddr=OFF),
s_waitcnt(simm16=waitcnt(vmcnt=0)),
# Add 1.0
v_add_f32_e32(v[2], 1.0, v[2]),
# Store result
global_store_b32(addr=v[0:2], data=v[2], saddr=OFF),
global_store_b32(addr=v[0:1], data=v[2], saddr=OFF),
s_endpgm(),
]
disasm = assemble_and_disassemble(instructions)
@@ -148,79 +149,6 @@ class TestIntegration(unittest.TestCase):
return
self.fail("Could not find s_mov_b32 in disassembly")
class TestAsm(unittest.TestCase):
"""Test asm() string parsing."""
def test_asm_basic(self):
"""Test basic instruction parsing."""
inst = asm('s_mov_b32 s0, s1')
self.assertEqual(inst.to_bytes(), s_mov_b32(s[0], s[1]).to_bytes())
def test_asm_with_immediates(self):
"""Test parsing with immediate values."""
inst = asm('s_add_u32 s0, s1, 10')
self.assertEqual(inst.to_bytes(), s_add_u32(s[0], s[1], 10).to_bytes())
def test_asm_float_const(self):
"""Test parsing float constants."""
inst = asm('v_mul_f32_e32 v0, 1.0, v1')
self.assertEqual(inst.to_bytes(), v_mul_f32_e32(v[0], 1.0, v[1]).to_bytes())
def test_asm_hex_immediate(self):
"""Test parsing hex immediates."""
inst = asm('s_waitcnt 0xfc07')
self.assertEqual(inst.to_bytes(), s_waitcnt(simm16=0xfc07).to_bytes())
def test_asm_special_regs(self):
"""Test parsing special registers."""
inst = asm('s_mov_b32 s0, vcc_lo')
self.assertEqual(inst.to_bytes(), s_mov_b32(s[0], VCC_LO).to_bytes())
def test_asm_register_range(self):
"""Test parsing register ranges."""
inst = asm('s_load_b128 s[4:7], s[0:1], null')
self.assertEqual(inst.to_bytes(), s_load_b128(s[4:7], s[0:1], NULL).to_bytes())
def test_asm_matches_llvm(self):
"""Test asm() output matches LLVM assembler."""
from tinygrad.runtime.support.compiler_amd import HIPCompiler
compiler = HIPCompiler('gfx1100')
def get_llvm_bytes(instr: str) -> bytes:
src = f'.text\n.globl test\n.p2align 8\n.type test,@function\ntest:\n{instr}\n'
lib = compiler.compile(src)
raw = disassemble(lib)
for line in raw.splitlines():
if instr.split()[0] in line and '//' in line:
hex_str = line.split('//')[1].strip().split(':')[1].strip()
return bytes.fromhex(hex_str)[::-1]
return b''
tests = ['s_mov_b32 s0, s1', 's_endpgm', 'v_add_f32_e32 v0, v1, v2']
for t in tests:
self.assertEqual(asm(t).to_bytes(), get_llvm_bytes(t), f"mismatch for: {t}")
def test_asm_vop3_modifiers(self):
"""Test asm() with VOP3 modifiers (neg, abs, clamp)."""
def get_llvm_encoding(instr: str) -> str:
result = subprocess.run([get_llvm_mc(), '-triple=amdgcn', '-mcpu=gfx1100', '-show-encoding'],
input=instr, capture_output=True, text=True)
if m := re.search(r'encoding:\s*\[(.*?)\]', result.stdout):
return m.group(1).replace('0x','').replace(',','').replace(' ','')
return ''
tests = [
'v_fma_f32 v0, -v1, v2, v3', # neg on src0
'v_fma_f32 v0, v1, |v2|, v3', # abs on src1
'v_fma_f32 v0, v1, v2, v3 clamp', # clamp
'v_fma_f32 v0, -v1, |v2|, v3 clamp', # all modifiers
'v_fma_f32 v0, -|v1|, v2, v3', # neg+abs on same operand
]
for t in tests:
our_hex = asm(t).to_bytes().hex()
llvm_hex = get_llvm_encoding(t)
self.assertEqual(our_hex, llvm_hex, f"mismatch for: {t}")
class TestTinygradIntegration(unittest.TestCase):
"""Test that we can parse disassembled tinygrad kernels."""
+109 -183
View File
@@ -1,201 +1,127 @@
#!/usr/bin/env python3
"""Test RDNA3 assembler/disassembler against LLVM test vectors."""
import unittest, re, subprocess
"""Test AMD assembler/disassembler against LLVM test vectors.
Only compute-relevant instruction formats are tested. Graphics-only formats not supported:
- MUBUF/MTBUF: buffer instructions with resource descriptors (use GLOBAL/FLAT instead)
- MIMG: image/texture instructions
- EXP/VEXPORT: export instructions for pixel/vertex output
- VIMAGE/VSAMPLE: image sampling instructions (RDNA4)
- VBUFFER: buffer instructions (RDNA4)
"""
import unittest, re, subprocess, functools
from tinygrad.helpers import fetch
from extra.assembly.amd.autogen.rdna3.ins import *
from extra.assembly.amd.asm import asm
from extra.assembly.amd.disasm import disasm
from extra.assembly.amd.decode import decode_inst, detect_format
from extra.assembly.amd.test.helpers import get_llvm_mc
LLVM_BASE = "https://raw.githubusercontent.com/llvm/llvm-project/main/llvm/test/MC/AMDGPU"
LLVM_BASE = "https://raw.githubusercontent.com/llvm/llvm-project/llvmorg-21.1.0/llvm/test/MC/AMDGPU"
# Format info: (filename, format_class, op_enum)
LLVM_TEST_FILES = {
# Scalar ALU
'sop1': ('gfx11_asm_sop1.s', SOP1, SOP1Op),
'sop2': ('gfx11_asm_sop2.s', SOP2, SOP2Op),
'sopp': ('gfx11_asm_sopp.s', SOPP, SOPPOp),
'sopk': ('gfx11_asm_sopk.s', SOPK, SOPKOp),
'sopc': ('gfx11_asm_sopc.s', SOPC, SOPCOp),
# Vector ALU
'vop1': ('gfx11_asm_vop1.s', VOP1, VOP1Op),
'vop2': ('gfx11_asm_vop2.s', VOP2, VOP2Op),
'vopc': ('gfx11_asm_vopc.s', VOPC, VOPCOp),
'vop3': ('gfx11_asm_vop3.s', VOP3, VOP3Op),
'vop3p': ('gfx11_asm_vop3p.s', VOP3P, VOP3POp),
'vop3sd': ('gfx11_asm_vop3.s', VOP3SD, VOP3SDOp), # VOP3SD shares file with VOP3
'vinterp': ('gfx11_asm_vinterp.s', VINTERP, VINTERPOp),
'vopd': ('gfx11_asm_vopd.s', VOPD, VOPDOp),
'vopcx': ('gfx11_asm_vopcx.s', VOPC, VOPCOp), # VOPCX uses VOPC format
# VOP3 promotions (VOP1/VOP2/VOPC promoted to VOP3 encoding)
'vop3_from_vop1': ('gfx11_asm_vop3_from_vop1.s', VOP3, VOP3Op),
'vop3_from_vop2': ('gfx11_asm_vop3_from_vop2.s', VOP3, VOP3Op),
'vop3_from_vopc': ('gfx11_asm_vop3_from_vopc.s', VOP3, VOP3Op),
'vop3_from_vopcx': ('gfx11_asm_vop3_from_vopcx.s', VOP3, VOP3Op),
# Memory
'ds': ('gfx11_asm_ds.s', DS, DSOp),
'smem': ('gfx11_asm_smem.s', SMEM, SMEMOp),
'flat': ('gfx11_asm_flat.s', FLAT, FLATOp),
'mubuf': ('gfx11_asm_mubuf.s', MUBUF, MUBUFOp),
'mtbuf': ('gfx11_asm_mtbuf.s', MTBUF, MTBUFOp),
'mimg': ('gfx11_asm_mimg.s', MIMG, MIMGOp),
# WMMA (matrix multiply)
'wmma': ('gfx11_asm_wmma.s', VOP3P, VOP3POp),
# Additional features
'vop3_features': ('gfx11_asm_vop3_features.s', VOP3, VOP3Op),
'vop3p_features': ('gfx11_asm_vop3p_features.s', VOP3P, VOP3POp),
'vopd_features': ('gfx11_asm_vopd_features.s', VOPD, VOPDOp),
# Alias files (alternative mnemonics)
'vop3_alias': ('gfx11_asm_vop3_alias.s', VOP3, VOP3Op),
'vop3p_alias': ('gfx11_asm_vop3p_alias.s', VOP3P, VOP3POp),
'vopc_alias': ('gfx11_asm_vopc_alias.s', VOPC, VOPCOp),
'vopcx_alias': ('gfx11_asm_vopcx_alias.s', VOPC, VOPCOp),
'vinterp_alias': ('gfx11_asm_vinterp_alias.s', VINTERP, VINTERPOp),
'smem_alias': ('gfx11_asm_smem_alias.s', SMEM, SMEMOp),
'mubuf_alias': ('gfx11_asm_mubuf_alias.s', MUBUF, MUBUFOp),
'mtbuf_alias': ('gfx11_asm_mtbuf_alias.s', MTBUF, MTBUFOp),
}
# RDNA3 (gfx11) test files for compute instructions
# Excluded: gfx11_asm_mubuf.s, gfx11_asm_mtbuf.s, gfx11_asm_mimg.s, gfx11_asm_mubuf_alias.s, gfx11_asm_mtbuf_alias.s (graphics-only)
RDNA_FILES = ['gfx11_asm_sop1.s', 'gfx11_asm_sop2.s', 'gfx11_asm_sopp.s', 'gfx11_asm_sopk.s', 'gfx11_asm_sopc.s',
'gfx11_asm_vop1.s', 'gfx11_asm_vop2.s', 'gfx11_asm_vopc.s', 'gfx11_asm_vop3.s', 'gfx11_asm_vop3p.s', 'gfx11_asm_vinterp.s',
'gfx11_asm_vopd.s', 'gfx11_asm_vopcx.s', 'gfx11_asm_vop3_from_vop1.s', 'gfx11_asm_vop3_from_vop2.s', 'gfx11_asm_vop3_from_vopc.s',
'gfx11_asm_vop3_from_vopcx.s', 'gfx11_asm_ds.s', 'gfx11_asm_smem.s', 'gfx11_asm_flat.s',
'gfx11_asm_wmma.s', 'gfx11_asm_vop3_features.s', 'gfx11_asm_vop3p_features.s', 'gfx11_asm_vopd_features.s',
'gfx11_asm_vop3_alias.s', 'gfx11_asm_vop3p_alias.s', 'gfx11_asm_vopc_alias.s', 'gfx11_asm_vopcx_alias.s', 'gfx11_asm_vinterp_alias.s',
'gfx11_asm_smem_alias.s']
# CDNA (gfx9/gfx90a/gfx942) test files for compute instructions
# Excluded: gfx9_asm_mubuf.s, gfx9_asm_mtbuf.s, gfx90a_ldst_acc.s (has MIMG mixed in)
CDNA_FILES = ['gfx9_asm_sop1.s', 'gfx9_asm_sop2.s', 'gfx9_asm_sopp.s', 'gfx9_asm_sopk.s', 'gfx9_asm_sopc.s',
'gfx9_asm_vop1.s', 'gfx9_asm_vop2.s', 'gfx9_asm_vopc.s', 'gfx9_asm_vop3.s', 'gfx9_asm_vop3p.s',
'gfx9_asm_ds.s', 'gfx9_asm_flat.s', 'gfx9_asm_smem.s',
'gfx90a_asm_features.s', 'flat-scratch-gfx942.s', 'gfx942_asm_features.s',
'mai-gfx90a.s', 'mai-gfx942.s']
# RDNA4 (gfx12) test files for compute instructions
# Excluded: gfx12_asm_vbuffer_mubuf.s, gfx12_asm_vbuffer_mtbuf.s, gfx12_asm_exp.s (graphics-only)
RDNA4_FILES = ['gfx12_asm_sop1.s', 'gfx12_asm_sop2.s', 'gfx12_asm_sopp.s', 'gfx12_asm_sopk.s', 'gfx12_asm_sopc.s',
'gfx12_asm_vop1.s', 'gfx12_asm_vop2.s', 'gfx12_asm_vopc.s', 'gfx12_asm_vopcx.s', 'gfx12_asm_vop3.s', 'gfx12_asm_vop3c.s',
'gfx12_asm_vop3cx.s', 'gfx12_asm_vop3p.s', 'gfx12_asm_vop3_from_vop1.s', 'gfx12_asm_vop3_from_vop2.s',
'gfx12_asm_vop3p_features.s', 'gfx12_asm_vopd.s', 'gfx12_asm_vopd_features.s',
'gfx12_asm_ds.s', 'gfx12_asm_smem.s',
'gfx12_asm_wmma_w32.s']
def parse_llvm_tests(text: str) -> list[tuple[str, bytes]]:
"""Parse LLVM test format into (asm, expected_bytes) pairs."""
tests, lines = [], text.split('\n')
for i, line in enumerate(lines):
line = line.strip()
if not line or line.startswith(('//', '.', ';')): continue
asm_text = line.split('//')[0].strip()
if not asm_text: continue
for j in range(i, min(i + 3, len(lines))):
# Match GFX11, W32, or W64 encodings (all valid for gfx11)
# Format 1: "// GFX11: v_foo ... ; encoding: [0x01,0x02,...]"
# Format 2: "// GFX11: [0x01,0x02,...]" (used by DS, older files)
if m := re.search(r'(?:GFX11|W32|W64)[^:]*:.*?encoding:\s*\[(.*?)\]', lines[j]):
hex_bytes = m.group(1).replace('0x', '').replace(',', '').replace(' ', '')
elif m := re.search(r'(?:GFX11|W32|W64)[^:]*:\s*\[(0x[0-9a-fA-F,x\s]+)\]', lines[j]):
hex_bytes = m.group(1).replace('0x', '').replace(',', '').replace(' ', '')
else:
continue
if hex_bytes:
try: tests.append((asm_text, bytes.fromhex(hex_bytes)))
except ValueError: pass
break
def _parse_llvm_tests(text: str, pattern: str) -> list[tuple[str, bytes]]:
tests = []
for block in text.split('\n\n'):
asm_text, encoding = None, None
for line in block.split('\n'):
line = line.strip()
if not line or line.startswith(('.', ';')): continue
if not line.startswith('//'):
asm_text = line.split('//')[0].strip() or asm_text
if m := re.search(pattern + r'[^:]*:.*?(?:encoding:\s*)?\[(0x[0-9a-f,x\s]+)\]', line, re.I):
encoding = m.group(1).replace('0x', '').replace(',', '').replace(' ', '')
if asm_text and encoding:
try: tests.append((asm_text, bytes.fromhex(encoding)))
except ValueError: pass
return tests
def try_assemble(text: str):
"""Try to assemble instruction text, return bytes or None on failure."""
try: return asm(text).to_bytes()
except: return None
@functools.cache
def _get_tests(f: str, arch: str) -> list[tuple[str, bytes]]:
text = fetch(f"{LLVM_BASE}/{f}").read_bytes().decode('utf-8', errors='ignore')
if arch == "rdna3":
# Match GFX11 and W32 only (wavefront32 mode)
tests = _parse_llvm_tests(text, r'(?:GFX11|W32)')
elif arch == "rdna4":
# Match GFX12 (but not GFX1250) and W32 only (wavefront32 mode)
tests = _parse_llvm_tests(text, r'(?:GFX12(?!50)|W32)')
elif 'gfx90a' in f or 'gfx942' in f:
tests = _parse_llvm_tests(text, r'(?:GFX90A|GFX942)')
else:
tests = _parse_llvm_tests(text, r'(?:VI9|GFX9|CHECK)')
return tests
def compile_asm_batch(instrs: list[str]) -> list[bytes]:
"""Compile multiple instructions with a single llvm-mc call."""
def _compile_asm_batch(instrs: list[str], arch: str = "rdna3") -> list[bytes]:
if not instrs: return []
asm_text = ".text\n" + "\n".join(instrs) + "\n"
result = subprocess.run(
[get_llvm_mc(), '-triple=amdgcn', '-mcpu=gfx1100', '-mattr=+real-true16,+wavefrontsize32', '-show-encoding'],
input=asm_text, capture_output=True, text=True, timeout=30)
if result.returncode != 0: raise RuntimeError(f"llvm-mc batch failed: {result.stderr.strip()}")
# Parse all encodings from output
results = []
for line in result.stdout.split('\n'):
if 'encoding:' not in line: continue
enc = line.split('encoding:')[1].strip()
if enc.startswith('[') and enc.endswith(']'):
results.append(bytes.fromhex(enc[1:-1].replace('0x', '').replace(',', '').replace(' ', '')))
if len(results) != len(instrs): raise RuntimeError(f"expected {len(instrs)} encodings, got {len(results)}")
return results
mcpu = {'rdna3': 'gfx1100', 'rdna4': 'gfx1200'}.get(arch, 'gfx1100')
result = subprocess.run([get_llvm_mc(), '-triple=amdgcn', f'-mcpu={mcpu}', '-mattr=+real-true16,+wavefrontsize32', '-show-encoding'],
input=".text\n" + "\n".join(instrs) + "\n", capture_output=True, text=True, timeout=30)
if result.returncode != 0: raise RuntimeError(f"llvm-mc failed: {result.stderr.strip()}")
return [bytes.fromhex(line.split('encoding:')[1].strip()[1:-1].replace('0x', '').replace(',', '').replace(' ', ''))
for line in result.stdout.split('\n') if 'encoding:' in line]
class TestLLVM(unittest.TestCase):
"""Test assembler and disassembler against all LLVM test vectors."""
tests: dict[str, list[tuple[str, bytes]]] = {}
@classmethod
def setUpClass(cls):
for name, (filename, _, _) in LLVM_TEST_FILES.items():
try:
data = fetch(f"{LLVM_BASE}/{filename}").read_bytes()
cls.tests[name] = parse_llvm_tests(data.decode('utf-8', errors='ignore'))
except Exception as e:
print(f"Warning: couldn't fetch {filename}: {e}")
cls.tests[name] = []
# Generate test methods dynamically for each format
def _make_asm_test(name):
def _make_test(f: str, arch: str, test_type: str):
def test(self):
passed, failed, skipped = 0, 0, 0
for asm_text, expected in self.tests.get(name, []):
result = try_assemble(asm_text)
if result is None: skipped += 1
elif result == expected: passed += 1
else: failed += 1
print(f"{name.upper()} asm: {passed} passed, {failed} failed, {skipped} skipped")
self.assertEqual(failed, 0)
tests = _get_tests(f, arch)
name = f"{arch}_{test_type}_{f}"
if test_type == "roundtrip":
passed, skipped = 0, 0
for _, data in tests:
try:
decoded = detect_format(data, arch).from_bytes(data)
self.assertEqual(decoded.to_bytes()[:len(data)], data)
passed += 1
except ValueError: skipped += 1 # skip invalid opcodes not in enum
print(f"{name}: {passed} passed, {skipped} skipped")
if arch in ("rdna3", "rdna4"):
self.assertEqual(skipped, 0, f"{name}: {skipped} tests skipped, expected 0")
elif test_type == "disasm":
to_test = []
for _, data in tests:
try:
decoded = decode_inst(data, arch)
# Skip if roundtrip fails, disasm fails, or op_name is missing (disasm starts with space)
if decoded.to_bytes()[:len(data)] == data and (d := disasm(decoded)) and not d.startswith(' '): to_test.append((data, d))
except: pass
skipped = len(tests) - len(to_test)
print(f"{name}: {len(to_test)} passed, {skipped} skipped")
if arch in ("rdna3", "rdna4"):
self.assertEqual(skipped, 0, f"{name}: {skipped} tests skipped, expected 0")
for (data, _), llvm in zip(to_test, _compile_asm_batch([t[1] for t in to_test], arch)): self.assertEqual(llvm, data)
return test
def _make_disasm_test(name):
def test(self):
_, fmt_cls, op_enum = LLVM_TEST_FILES[name]
# VOP3SD opcodes that share encoding with VOP3 (only for vop3sd test, not vopc promotions)
vop3sd_opcodes = {288, 289, 290, 764, 765, 766, 767, 768, 769, 770}
is_vopc_promotion = name in ('vop3_from_vopc', 'vop3_from_vopcx')
undocumented = {'smem': {34, 35}, 'sopk': {22, 23}, 'sopp': {8, 58, 59}}
class TestLLVM(unittest.TestCase): pass
# First pass: decode all instructions and collect disasm strings
to_test: list[tuple[str, bytes, str | None, str | None]] = [] # (asm_text, data, disasm_str, error)
skipped = 0
for asm_text, data in self.tests.get(name, []):
if len(data) > fmt_cls._size(): continue
temp_inst = fmt_cls.from_bytes(data)
temp_op = temp_inst._values.get('op', 0)
temp_op = temp_op.val if hasattr(temp_op, 'val') else temp_op
if temp_op in undocumented.get(name, set()): skipped += 1; continue
if name == 'sopp':
simm16 = temp_inst._values.get('simm16', 0)
simm16 = simm16.val if hasattr(simm16, 'val') else simm16
sopp_no_imm = {48, 54, 53, 55, 60, 61, 62}
if temp_op in sopp_no_imm and simm16 != 0: skipped += 1; continue
try:
if fmt_cls.__name__ in ('VOP3', 'VOP3SD'):
temp = VOP3.from_bytes(data)
op_val = temp._values.get('op', 0)
op_val = op_val.val if hasattr(op_val, 'val') else op_val
is_vop3sd = (op_val in vop3sd_opcodes) and not is_vopc_promotion
decoded = VOP3SD.from_bytes(data) if is_vop3sd else VOP3.from_bytes(data)
if is_vop3sd: VOP3SDOp(op_val)
else: VOP3Op(op_val)
else:
decoded = fmt_cls.from_bytes(data)
op_val = decoded._values.get('op', 0)
op_val = op_val.val if hasattr(op_val, 'val') else op_val
op_enum(op_val)
if decoded.to_bytes()[:len(data)] != data:
to_test.append((asm_text, data, None, "decode roundtrip failed"))
continue
to_test.append((asm_text, data, decoded.disasm(), None))
except Exception as e:
to_test.append((asm_text, data, None, f"exception: {e}"))
# Batch compile all disasm strings with single llvm-mc call
disasm_strs = [(i, t[2]) for i, t in enumerate(to_test) if t[2] is not None]
llvm_results = compile_asm_batch([s for _, s in disasm_strs]) if disasm_strs else []
llvm_map = {i: llvm_results[j] for j, (i, _) in enumerate(disasm_strs)}
# Match results back
passed, failed = 0, 0
failures: list[str] = []
for idx, (asm_text, data, disasm_str, error) in enumerate(to_test):
if error:
failed += 1; failures.append(f"{error} for {data.hex()}")
elif disasm_str is not None and idx in llvm_map:
llvm_bytes = llvm_map[idx]
if llvm_bytes is not None and llvm_bytes == data: passed += 1
elif llvm_bytes is not None: failed += 1; failures.append(f"'{disasm_str}': expected={data.hex()} got={llvm_bytes.hex()}")
print(f"{name.upper()} disasm: {passed} passed, {failed} failed" + (f", {skipped} skipped" if skipped else ""))
if failures[:10]: print(" " + "\n ".join(failures[:10]))
self.assertEqual(failed, 0)
return test
for name in LLVM_TEST_FILES:
setattr(TestLLVM, f'test_{name}_asm', _make_asm_test(name))
setattr(TestLLVM, f'test_{name}_disasm', _make_disasm_test(name))
for f in RDNA_FILES:
setattr(TestLLVM, f"test_rdna3_roundtrip_{f.replace('.s', '').replace('-', '_')}", _make_test(f, "rdna3", "roundtrip"))
setattr(TestLLVM, f"test_rdna3_disasm_{f.replace('.s', '').replace('-', '_')}", _make_test(f, "rdna3", "disasm"))
for f in CDNA_FILES:
setattr(TestLLVM, f"test_cdna_roundtrip_{f.replace('.s', '').replace('-', '_')}", _make_test(f, "cdna", "roundtrip"))
setattr(TestLLVM, f"test_cdna_disasm_{f.replace('.s', '').replace('-', '_')}", _make_test(f, "cdna", "disasm"))
for f in RDNA4_FILES:
setattr(TestLLVM, f"test_rdna4_roundtrip_{f.replace('.s', '').replace('-', '_')}", _make_test(f, "rdna4", "roundtrip"))
setattr(TestLLVM, f"test_rdna4_disasm_{f.replace('.s', '').replace('-', '_')}", _make_test(f, "rdna4", "disasm"))
if __name__ == "__main__":
unittest.main()
@@ -20,11 +20,12 @@ runner = get_runner(dev.device, si.ast)
prg = runner._prg
lib = bytearray(prg.lib)
# Find s_endpgm (0xBFB00000) and replace with invalid SOPP op=127 (0xBFFF0000)
# Find s_endpgm (0xBFB00000) and replace with V_MOVRELD_B32 (op=66) which has no pcode
# VOP1 encoding: bits[31:25]=0x7E, op=bits[16:9], so op=66 -> 66<<9 = 0x8400
found = False
for i in range(0, len(lib) - 4, 4):
if struct.unpack("<I", lib[i:i+4])[0] == 0xBFB00000:
lib[i:i+4] = struct.pack("<I", 0xBFFF0000)
lib[i:i+4] = struct.pack("<I", 0x7E008400)
found = True
break
assert found, "s_endpgm not found"
@@ -46,8 +47,7 @@ dev.synchronize()
elapsed = time.perf_counter() - st
self.assertNotEqual(result.returncode, 0, "should have raised")
self.assertTrue("NotImplementedError" in result.stderr or "ValueError" in result.stderr,
f"expected NotImplementedError or ValueError in stderr")
self.assertTrue("Error" in result.stderr, f"expected an error in stderr, got: {result.stderr[:500]}")
# Should exit immediately, not wait for the full timeout
self.assertLess(elapsed, 9.0, f"should exit immediately on emulator exception, took {elapsed:.1f}s")
+38 -39
View File
@@ -1,12 +1,16 @@
#!/usr/bin/env python3
"""Tests for the RDNA3 pseudocode DSL."""
import unittest
from extra.assembly.amd.pcode import (Reg, TypedView, SliceProxy, MASK32, MASK64,
_f32, _i32, _f16, _i16, f32_to_f16, _isnan, _bf16, _ibf16, bf16_to_f32, f32_to_bf16,
BYTE_PERMUTE, v_sad_u8, v_msad_u8)
from extra.assembly.amd.pdf import compile_pseudocode, _expr
from extra.assembly.amd.pcode import (Reg, TypedView, TypedView, MASK32, MASK64,
_f32, _i32, _f16, _i16, f32_to_f16, isNAN, _bf16, _ibf16, bf16_to_f32, f32_to_bf16,
BYTE_PERMUTE, v_sad_u8, v_msad_u8, _compile_pseudocode, _expr, compile_pseudocode)
from extra.assembly.amd.test.helpers import ExecContext
from extra.assembly.amd.autogen.rdna3.gen_pcode import _VOP3SDOp_V_DIV_SCALE_F32, _VOPCOp_V_CMP_CLASS_F32
from extra.assembly.amd.autogen.rdna3.str_pcode import PCODE
from extra.assembly.amd.autogen.rdna3.enum import VOP3SDOp, VOPCOp
# Compile pseudocode functions on demand for regression tests
_VOP3SDOp_V_DIV_SCALE_F32 = compile_pseudocode('VOP3SDOp', 'V_DIV_SCALE_F32', PCODE[VOP3SDOp.V_DIV_SCALE_F32])
_VOPCOp_V_CMP_CLASS_F32 = compile_pseudocode('VOPCOp', 'V_CMP_CLASS_F32', PCODE[VOPCOp.V_CMP_CLASS_F32_E32])
class TestReg(unittest.TestCase):
def test_u32_read(self):
@@ -42,7 +46,7 @@ class TestReg(unittest.TestCase):
class TestTypedView(unittest.TestCase):
def test_bit_slice(self):
r = Reg(0xDEADBEEF)
# Slices return SliceProxy which supports .u32, .u16 etc (matching pseudocode like S1.u32[1:0].u32)
# Slices return TypedView which supports .u32, .u16 etc (matching pseudocode like S1.u32[1:0].u32)
self.assertEqual(r.u32[7:0].u32, 0xEF)
self.assertEqual(r.u32[15:8].u32, 0xBE)
self.assertEqual(r.u32[23:16].u32, 0xAD)
@@ -67,7 +71,7 @@ class TestTypedView(unittest.TestCase):
# S0.u32[S1.u32[4:0]] - access bit at position from another register
s0 = Reg(0b11010101)
s1 = Reg(3)
bit_pos = s1.u32[4:0] # SliceProxy, int value = 3
bit_pos = s1.u32[4:0] # TypedView, int value = 3
bit_val = s0.u32[int(bit_pos)] # bit 3 of s0 = 0
self.assertEqual(int(bit_pos), 3)
self.assertEqual(bit_val, 0)
@@ -85,7 +89,7 @@ class TestTypedView(unittest.TestCase):
self.assertFalse(r1.u32 < r2.u32)
self.assertTrue(r1.u32 != r2.u32)
class TestSliceProxy(unittest.TestCase):
class TestTypedView(unittest.TestCase):
def test_slice_read(self):
r = Reg(0x56781234)
self.assertEqual(r[15:0].u16, 0x1234)
@@ -154,19 +158,19 @@ class TestExecContext(unittest.TestCase):
self.assertEqual(ctx.SCC._val, 0)
def test_ternary(self):
code = compile_pseudocode("D0.u32 = S0.u32 > S1.u32 ? 1'1U : 1'0U")
code = _compile_pseudocode("D0.u32 = S0.u32 > S1.u32 ? 1'1U : 1'0U")
ctx = ExecContext(s0=5, s1=3)
ctx.run(code)
self.assertEqual(ctx.D0._val, 1)
def test_pack(self):
code = compile_pseudocode("D0 = { S1[15:0].u16, S0[15:0].u16 }")
code = _compile_pseudocode("D0 = { S1[15:0].u16, S0[15:0].u16 }")
ctx = ExecContext(s0=0x1234, s1=0x5678)
ctx.run(code)
self.assertEqual(ctx.D0._val, 0x56781234)
def test_tmp_with_typed_access(self):
code = compile_pseudocode("""tmp = S0.u32 + S1.u32
code = _compile_pseudocode("""tmp = S0.u32 + S1.u32
D0.u32 = tmp.u32""")
ctx = ExecContext(s0=100, s1=200)
ctx.run(code)
@@ -174,7 +178,7 @@ D0.u32 = tmp.u32""")
def test_s_add_u32_pattern(self):
# Real pseudocode pattern from S_ADD_U32
code = compile_pseudocode("""tmp = 64'U(S0.u32) + 64'U(S1.u32)
code = _compile_pseudocode("""tmp = 64'U(S0.u32) + 64'U(S1.u32)
SCC = tmp >= 0x100000000ULL ? 1'1U : 1'0U
D0.u32 = tmp.u32""")
# Test overflow case
@@ -184,7 +188,7 @@ D0.u32 = tmp.u32""")
self.assertEqual(ctx.SCC._val, 1) # Carry set
def test_s_add_u32_no_overflow(self):
code = compile_pseudocode("""tmp = 64'U(S0.u32) + 64'U(S1.u32)
code = _compile_pseudocode("""tmp = 64'U(S0.u32) + 64'U(S1.u32)
SCC = tmp >= 0x100000000ULL ? 1'1U : 1'0U
D0.u32 = tmp.u32""")
ctx = ExecContext(s0=100, s1=200)
@@ -206,7 +210,7 @@ D0.u32 = tmp.u32""")
def test_for_loop(self):
# CTZ pattern - find first set bit
code = compile_pseudocode("""tmp = -1
code = _compile_pseudocode("""tmp = -1
for i in 0 : 31 do
if S0.u32[i] == 1 then
tmp = i
@@ -233,14 +237,13 @@ class TestPseudocodeRegressions(unittest.TestCase):
Bug: when VCC._val == vcc (both 0), VCC wasn't returned, so VCC bits weren't written.
This caused division to produce wrong results for multiple lanes."""
# Normal case: 1.0 / 3.0, no scaling needed, VCC should be 0
S0 = Reg(0x3f800000) # 1.0
S1 = Reg(0x40400000) # 3.0
S2 = Reg(0x3f800000) # 1.0 (numerator)
D0, SCC, VCC, EXEC = Reg(0), Reg(0), Reg(0), Reg(0xffffffff)
result = _VOP3SDOp_V_DIV_SCALE_F32(S0, S1, S2, D0, SCC, VCC, 0, EXEC, 0, None)
s0 = 0x3f800000 # 1.0
s1 = 0x40400000 # 3.0
s2 = 0x3f800000 # 1.0 (numerator)
result = _VOP3SDOp_V_DIV_SCALE_F32(s0, s1, s2, 0, 0, 0, 0, 0xffffffff, 0, None)
# Must always have VCC in result
self.assertIn('VCC', result, "V_DIV_SCALE_F32 must always return VCC")
self.assertEqual(result['VCC']._val & 1, 0, "VCC lane 0 should be 0 when no scaling needed")
self.assertEqual(result['VCC'] & 1, 0, "VCC lane 0 should be 0 when no scaling needed")
def test_v_cmp_class_f32_detects_quiet_nan(self):
"""V_CMP_CLASS_F32 must correctly identify quiet NaN vs signaling NaN.
@@ -249,32 +252,28 @@ class TestPseudocodeRegressions(unittest.TestCase):
signal_nan = 0x7f800001 # signaling NaN: exponent=255, bit22=0
# Test quiet NaN detection (bit 1 in mask)
s1_quiet = 0b0000000010 # bit 1 = quiet NaN
S0, S1, S2, D0, SCC, VCC, EXEC = Reg(quiet_nan), Reg(s1_quiet), Reg(0), Reg(0), Reg(0), Reg(0), Reg(0xffffffff)
result = _VOPCOp_V_CMP_CLASS_F32(S0, S1, S2, D0, SCC, VCC, 0, EXEC, 0, None)
self.assertEqual(result['D0']._val & 1, 1, "Should detect quiet NaN with quiet NaN mask")
result = _VOPCOp_V_CMP_CLASS_F32(quiet_nan, s1_quiet, 0, 0, 0, 0, 0, 0xffffffff, 0, None)
self.assertEqual(result['D0'] & 1, 1, "Should detect quiet NaN with quiet NaN mask")
# Test signaling NaN detection (bit 0 in mask)
s1_signal = 0b0000000001 # bit 0 = signaling NaN
S0, S1 = Reg(signal_nan), Reg(s1_signal)
result = _VOPCOp_V_CMP_CLASS_F32(S0, S1, S2, D0, SCC, VCC, 0, EXEC, 0, None)
self.assertEqual(result['D0']._val & 1, 1, "Should detect signaling NaN with signaling NaN mask")
result = _VOPCOp_V_CMP_CLASS_F32(signal_nan, s1_signal, 0, 0, 0, 0, 0, 0xffffffff, 0, None)
self.assertEqual(result['D0'] & 1, 1, "Should detect signaling NaN with signaling NaN mask")
# Test that quiet NaN doesn't match signaling NaN mask
S0, S1 = Reg(quiet_nan), Reg(s1_signal)
result = _VOPCOp_V_CMP_CLASS_F32(S0, S1, S2, D0, SCC, VCC, 0, EXEC, 0, None)
self.assertEqual(result['D0']._val & 1, 0, "Quiet NaN should not match signaling NaN mask")
result = _VOPCOp_V_CMP_CLASS_F32(quiet_nan, s1_signal, 0, 0, 0, 0, 0, 0xffffffff, 0, None)
self.assertEqual(result['D0'] & 1, 0, "Quiet NaN should not match signaling NaN mask")
# Test that signaling NaN doesn't match quiet NaN mask
S0, S1 = Reg(signal_nan), Reg(s1_quiet)
result = _VOPCOp_V_CMP_CLASS_F32(S0, S1, S2, D0, SCC, VCC, 0, EXEC, 0, None)
self.assertEqual(result['D0']._val & 1, 0, "Signaling NaN should not match quiet NaN mask")
result = _VOPCOp_V_CMP_CLASS_F32(signal_nan, s1_quiet, 0, 0, 0, 0, 0, 0xffffffff, 0, None)
self.assertEqual(result['D0'] & 1, 0, "Signaling NaN should not match quiet NaN mask")
def test_isnan_with_typed_view(self):
"""_isnan must work with TypedView objects, not just Python floats.
Bug: _isnan checked isinstance(x, float) which returned False for TypedView."""
def testisNAN_with_typed_view(self):
"""isNAN must work with TypedView objects, not just Python floats.
Bug: isNAN checked isinstance(x, float) which returned False for TypedView."""
nan_reg = Reg(0x7fc00000) # quiet NaN
normal_reg = Reg(0x3f800000) # 1.0
inf_reg = Reg(0x7f800000) # +inf
self.assertTrue(_isnan(nan_reg.f32), "_isnan should return True for NaN TypedView")
self.assertFalse(_isnan(normal_reg.f32), "_isnan should return False for normal TypedView")
self.assertFalse(_isnan(inf_reg.f32), "_isnan should return False for inf TypedView")
self.assertTrue(isNAN(nan_reg.f32), "isNAN should return True for NaN TypedView")
self.assertFalse(isNAN(normal_reg.f32), "isNAN should return False for normal TypedView")
self.assertFalse(isNAN(inf_reg.f32), "isNAN should return False for inf TypedView")
class TestBF16(unittest.TestCase):
"""Tests for BF16 (bfloat16) support."""
@@ -313,7 +312,7 @@ class TestBF16(unittest.TestCase):
self.assertAlmostEqual(float(r.bf16), 3.0, places=1)
def test_bf16_slice_property(self):
"""Test SliceProxy.bf16 property."""
"""Test TypedView.bf16 property."""
r = Reg(0x40404040) # Two bf16 3.0 values
self.assertAlmostEqual(r[15:0].bf16, 3.0, places=1)
self.assertAlmostEqual(r[31:16].bf16, 3.0, places=1)
+48
View File
@@ -0,0 +1,48 @@
#!/usr/bin/env python3
"""Test PDF pseudocode extraction from amdxml.py."""
import unittest
from extra.assembly.amd.amdxml import extract_pdf_text, extract_pcode, parse_xml, ARCHS, FIXES
EXPECTED_PAGES = {"rdna3": 655, "rdna4": 711, "cdna": 610}
class TestPcodePDF(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.pages = {arch: extract_pdf_text(cfg["pdf"]) for arch, cfg in ARCHS.items()}
cls.enums = {}
for arch, cfg in ARCHS.items():
_, enums, _, _, _ = parse_xml(cfg["xml"], arch)
for fmt, ops in FIXES.get(arch, {}).items(): enums.setdefault(fmt, {}).update(ops)
cls.enums[arch] = enums
cls.pcode = {arch: extract_pcode(cls.pages[arch], {n: op for ops in cls.enums[arch].values() for op, n in ops.items()}) for arch in ARCHS}
def test_page_counts(self):
for name, exp in EXPECTED_PAGES.items():
self.assertEqual(len(self.pages[name]), exp, f"{name} page count")
def test_pcode_extracted(self):
"""Check we extracted a reasonable number of pcode entries."""
for name in ARCHS:
self.assertGreater(len(self.pcode[name]), 500, f"{name} pcode count too low")
def test_pcode_rdna3_tricky(self):
"""Test specific pseudocode patterns that are tricky to extract correctly."""
pcode = self.pcode['rdna3']
# BUFFER_ATOMIC_MAX_U64: should have 4 statements (not truncated)
self.assertEqual(pcode[('BUFFER_ATOMIC_MAX_U64', 72)],
'tmp = MEM[ADDR].u64;\nsrc = DATA.u64;\nMEM[ADDR].u64 = src >= tmp ? src : tmp;\nRETURN_DATA.u64 = tmp')
# GLOBAL_STORE_B128: should have 4 MEM stores (not truncated)
self.assertEqual(pcode[('GLOBAL_STORE_B128', 29)],
'MEM[ADDR].b32 = VDATA[31 : 0];\nMEM[ADDR + 4U].b32 = VDATA[63 : 32];\nMEM[ADDR + 8U].b32 = VDATA[95 : 64];\nMEM[ADDR + 12U].b32 = VDATA[127 : 96]')
# S_CMOVK_I32: should have full if/endif block
self.assertEqual(pcode[('S_CMOVK_I32', 2)],
"if SCC then\nD0.i32 = 32'I(signext(SIMM16.i16))\nendif")
def test_pcode_no_examples(self):
"""Pseudocode should not contain example lines with '=>'."""
for name in ARCHS:
for (op_name, opcode), code in self.pcode[name].items():
self.assertNotIn('=>', code, f"{name} {op_name} contains example line with '=>'")
if __name__ == "__main__":
unittest.main()
-150
View File
@@ -1,150 +0,0 @@
#!/usr/bin/env python3
"""Test that PDF parser correctly extracts format fields."""
import unittest, os
from extra.assembly.amd.autogen.rdna3.ins import SOP1, SOP2, SOPK, SOPP, VOP1, VOP2, VOP3SD, VOPC, FLAT, VOPD, SOP1Op, SOP2Op, VOP1Op, VOP3Op
# expected formats with key fields and whether they have ENCODING
EXPECTED_FORMATS = {
'DPP16': (['SRC0', 'DPP_CTRL', 'BANK_MASK', 'ROW_MASK'], False),
'DPP8': (['SRC0', 'LANE_SEL0', 'LANE_SEL7'], False),
'DS': (['OP', 'ADDR', 'DATA0', 'DATA1', 'VDST'], True),
'EXP': (['EN', 'TARGET', 'VSRC0', 'VSRC1', 'VSRC2', 'VSRC3'], True),
'FLAT': (['OP', 'ADDR', 'DATA', 'SADDR', 'VDST', 'OFFSET'], True),
'LDSDIR': (['VDST', 'OP'], True),
'MIMG': (['OP', 'VADDR', 'VDATA', 'SRSRC', 'DMASK'], True),
'MTBUF': (['OP', 'VADDR', 'VDATA', 'SRSRC', 'FORMAT', 'SOFFSET'], True),
'MUBUF': (['OP', 'VADDR', 'VDATA', 'SRSRC', 'SOFFSET'], True),
'SMEM': (['OP', 'SBASE', 'SDATA', 'OFFSET', 'SOFFSET'], True),
'SOP1': (['OP', 'SDST', 'SSRC0'], True),
'SOP2': (['OP', 'SDST', 'SSRC0', 'SSRC1'], True),
'SOPC': (['OP', 'SSRC0', 'SSRC1'], True),
'SOPK': (['OP', 'SDST', 'SIMM16'], True),
'SOPP': (['OP', 'SIMM16'], True),
'VINTERP': (['OP', 'VDST', 'SRC0', 'SRC1', 'SRC2'], True),
'VOP1': (['OP', 'VDST', 'SRC0'], True),
'VOP2': (['OP', 'VDST', 'SRC0', 'VSRC1'], True),
'VOP3': (['OP', 'VDST', 'SRC0', 'SRC1', 'SRC2'], True),
'VOP3P': (['OP', 'VDST', 'SRC0', 'SRC1', 'SRC2'], True),
'VOP3SD': (['OP', 'VDST', 'SDST', 'SRC0', 'SRC1', 'SRC2'], True),
'VOPC': (['OP', 'SRC0', 'VSRC1'], True),
'VOPD': (['OPX', 'OPY', 'SRCX0', 'SRCY0', 'VDSTX', 'VDSTY'], True),
}
# Skip PDF parsing tests by default - only run with TEST_PDF_PARSER=1
# These are slow (~5s) and only needed when regenerating autogen/
@unittest.skipUnless(os.environ.get("TEST_PDF_PARSER"), "set TEST_PDF_PARSER=1 to run PDF parser tests")
class TestPDFParserGenerate(unittest.TestCase):
"""Test the PDF parser by running generate() and checking results."""
def test_pdf_parser(self):
"""Single test that validates all PDF parser outputs."""
from extra.assembly.amd.dsl import generate
result = generate()
# test_all_formats_present
for fmt_name in EXPECTED_FORMATS:
self.assertIn(fmt_name, result["formats"], f"missing format {fmt_name}")
# test_format_count
self.assertEqual(len(result["formats"]), 23)
# test_no_duplicate_fields
for fmt_name, fields in result["formats"].items():
field_names = [f[0] for f in fields]
self.assertEqual(len(field_names), len(set(field_names)), f"{fmt_name} has duplicate fields: {field_names}")
# test_expected_fields
for fmt_name, (expected_fields, has_encoding) in EXPECTED_FORMATS.items():
fields = {f[0] for f in result["formats"].get(fmt_name, [])}
for field in expected_fields:
self.assertIn(field, fields, f"{fmt_name} missing {field}")
if has_encoding:
self.assertIn("ENCODING", fields, f"{fmt_name} should have ENCODING")
else:
self.assertNotIn("ENCODING", fields, f"{fmt_name} should not have ENCODING")
# test_vopd_no_dpp16_fields
vopd_fields = {f[0] for f in result["formats"].get("VOPD", [])}
for field in ['DPP_CTRL', 'BANK_MASK', 'ROW_MASK']:
self.assertNotIn(field, vopd_fields, f"VOPD should not have {field}")
# test_dpp16_no_vinterp_fields
dpp16_fields = {f[0] for f in result["formats"].get("DPP16", [])}
for field in ['VDST', 'WAITEXP']:
self.assertNotIn(field, dpp16_fields, f"DPP16 should not have {field}")
# test_sopp_no_smem_fields
sopp_fields = {f[0] for f in result["formats"].get("SOPP", [])}
for field in ['SBASE', 'SDATA']:
self.assertNotIn(field, sopp_fields, f"SOPP should not have {field}")
class TestPDFParser(unittest.TestCase):
"""Verify format classes have correct fields from PDF parsing."""
def test_sop2_fields(self):
"""SOP2 should have op, sdst, ssrc0, ssrc1."""
for field in ['op', 'sdst', 'ssrc0', 'ssrc1']:
self.assertIn(field, SOP2._fields)
self.assertEqual(SOP2._fields['op'].hi, 29)
self.assertEqual(SOP2._fields['op'].lo, 23)
def test_sop1_fields(self):
"""SOP1 should have op, sdst, ssrc0 with correct bit positions."""
for field in ['op', 'sdst', 'ssrc0']:
self.assertIn(field, SOP1._fields)
self.assertNotIn('simm16', SOP1._fields)
self.assertEqual(SOP1._fields['ssrc0'].hi, 7)
self.assertEqual(SOP1._fields['ssrc0'].lo, 0)
assert SOP1._encoding is not None
self.assertEqual(SOP1._encoding[0].hi, 31)
self.assertEqual(SOP1._encoding[1], 0b101111101)
def test_vop3sd_fields(self):
"""VOP3SD should have all fields including src0/src1/src2 from page continuation."""
for field in ['op', 'vdst', 'sdst', 'src0', 'src1', 'src2']:
self.assertIn(field, VOP3SD._fields)
self.assertEqual(VOP3SD._fields['src0'].hi, 40)
self.assertEqual(VOP3SD._fields['src0'].lo, 32)
self.assertEqual(VOP3SD._size(), 8)
def test_flat_has_vdst(self):
"""FLAT should have vdst field."""
self.assertIn('vdst', FLAT._fields)
self.assertEqual(FLAT._fields['vdst'].hi, 63)
self.assertEqual(FLAT._fields['vdst'].lo, 56)
def test_encoding_bits(self):
"""Verify encoding bits are correct for major formats."""
tests = [
(SOP2, 31, 30, 0b10),
(SOPK, 31, 28, 0b1011),
(SOPP, 31, 23, 0b101111111),
(VOP1, 31, 25, 0b0111111),
(VOP2, 31, 31, 0b0),
(VOPC, 31, 25, 0b0111110),
(FLAT, 31, 26, 0b110111),
]
for cls, hi, lo, val in tests:
assert cls._encoding is not None
self.assertEqual(cls._encoding[0].hi, hi, f"{cls.__name__} encoding hi")
self.assertEqual(cls._encoding[0].lo, lo, f"{cls.__name__} encoding lo")
self.assertEqual(cls._encoding[1], val, f"{cls.__name__} encoding val")
def test_opcode_enums_exist(self):
"""Verify opcode enums are generated with expected counts."""
self.assertGreater(len(SOP1Op), 50)
self.assertGreater(len(SOP2Op), 50)
self.assertGreater(len(VOP1Op), 50)
self.assertGreater(len(VOP3Op), 200)
def test_vopd_no_duplicate_fields(self):
"""VOPD should not have duplicate fields and should not include DPP16 fields."""
field_names = list(VOPD._fields.keys())
self.assertEqual(len(field_names), len(set(field_names)))
for field in ['srcx0', 'srcy0', 'opx', 'opy']:
self.assertIn(field, VOPD._fields)
for field in ['dpp_ctrl', 'bank_mask', 'row_mask']:
self.assertNotIn(field, VOPD._fields)
if __name__ == "__main__":
unittest.main()
+2 -2
View File
@@ -37,10 +37,10 @@ class TestRDNA3Asm(unittest.TestCase):
v_add_co_u32(v[2], VCC_LO, s[6], v[2]),
v_add_co_ci_u32_e32(v[3], s[7], v[3]),
v_add_co_u32(v[0], VCC_LO, s[4], v[0]),
global_load_b32(vdst=v[2], addr=v[2], saddr=OFF),
global_load_b32(vdst=v[2], addr=v[2:3], saddr=OFF),
v_add_co_ci_u32_e32(v[1], s[5], v[1]),
s_waitcnt(0x03f7), # vmcnt(0)
global_store_b32(addr=v[0], data=v[2], saddr=OFF),
global_store_b32(addr=v[0:1], data=v[2], saddr=OFF),
s_endpgm(),
]
+54 -64
View File
@@ -1,12 +1,17 @@
#!/usr/bin/env python3
"""Roundtrip tests: generate tinygrad kernels, decode instructions, re-encode, verify match."""
import unittest, io, sys, re, subprocess, os
from extra.assembly.amd.autogen.rdna3.ins import *
from extra.assembly.amd.dsl import Inst
from extra.assembly.amd.asm import asm
from extra.assembly.amd.asm import detect_format
from extra.assembly.amd.decode import decode_inst, detect_format
from extra.assembly.amd.test.helpers import get_llvm_mc, get_llvm_objdump
# arch: (mcpu, mattr)
ARCH_CONFIG = {
'rdna3': ('gfx1100', '+real-true16,+wavefrontsize32'),
'rdna4': ('gfx1200', '+real-true16,+wavefrontsize32'),
'cdna': ('gfx942', '+wavefrontsize64'),
}
def disassemble_lib(lib: bytes, compiler) -> list[tuple[str, bytes]]:
"""Disassemble ELF binary and return list of (instruction_text, machine_code_bytes)."""
old_stdout = sys.stdout
@@ -30,61 +35,40 @@ def disassemble_lib(lib: bytes, compiler) -> list[tuple[str, bytes]]:
continue
return results
def compile_asm(instr: str, compiler=None) -> bytes:
"""Compile a single instruction with llvm-mc and return the machine code bytes."""
llvm_mc = get_llvm_mc()
result = subprocess.run(
[llvm_mc, '-triple=amdgcn', '-mcpu=gfx1100', '-mattr=+real-true16,+wavefrontsize32', '-show-encoding'],
input=f".text\n{instr}\n", capture_output=True, text=True)
if result.returncode != 0: raise RuntimeError(f"llvm-mc failed for '{instr}': {result.stderr.strip()}")
# Parse encoding: [0x01,0x39,0x0a,0x7e]
for line in result.stdout.split('\n'):
if 'encoding:' in line:
enc = line.split('encoding:')[1].strip()
if enc.startswith('[') and enc.endswith(']'):
hex_vals = enc[1:-1].replace('0x', '').replace(',', '').replace(' ', '')
return bytes.fromhex(hex_vals)
raise RuntimeError(f"no encoding found in llvm-mc output for: {instr}")
def compile_asm(instr: str, arch: str = 'rdna3') -> bytes:
"""Compile a single instruction using LLVM."""
return compile_asm_batch([instr], arch)[0]
def compile_asm_batch(instrs: list[str]) -> list[bytes]:
def compile_asm_batch(instrs: list[str], arch: str = 'rdna3') -> list[bytes]:
"""Compile multiple instructions with a single llvm-mc call."""
if not instrs: return []
llvm_mc = get_llvm_mc()
src = ".text\n" + "\n".join(instrs) + "\n"
result = subprocess.run(
[llvm_mc, '-triple=amdgcn', '-mcpu=gfx1100', '-mattr=+real-true16,+wavefrontsize32', '-show-encoding'],
input=src, capture_output=True, text=True)
mcpu, mattr = ARCH_CONFIG[arch]
result = subprocess.run([get_llvm_mc(), '-triple=amdgcn', f'-mcpu={mcpu}', f'-mattr={mattr}', '-show-encoding'],
input=".text\n" + "\n".join(instrs) + "\n", capture_output=True, text=True)
if result.returncode != 0: raise RuntimeError(f"llvm-mc batch failed: {result.stderr.strip()}")
# Parse all encodings in order
encodings = []
for line in result.stdout.split('\n'):
if 'encoding:' in line:
enc = line.split('encoding:')[1].strip()
if enc.startswith('[') and enc.endswith(']'):
hex_vals = enc[1:-1].replace('0x', '').replace(',', '').replace(' ', '')
encodings.append(bytes.fromhex(hex_vals))
encodings.append(bytes.fromhex(enc[1:-1].replace('0x', '').replace(',', '').replace(' ', '')))
if len(encodings) != len(instrs): raise RuntimeError(f"expected {len(instrs)} encodings, got {len(encodings)}")
return encodings
def compile_and_disasm_batch(instrs: list[str], compiler) -> list[str]:
def compile_and_disasm_batch(instrs: list[str], arch: str = 'rdna3') -> list[str]:
"""Compile instructions with LLVM and get LLVM's disassembly."""
import tempfile, os
import tempfile
if not instrs: return []
# Build assembly source with all instructions
src = ".text\n.globl test\n.p2align 8\n.type test,@function\ntest:\n"
src += "\n".join(f" {instr}" for instr in instrs) + "\n"
# Use llvm-mc to assemble to object file
mcpu, mattr = ARCH_CONFIG[arch]
src = ".text\n.globl test\n.p2align 8\n.type test,@function\ntest:\n" + "\n".join(f" {instr}" for instr in instrs) + "\n"
with tempfile.NamedTemporaryFile(suffix='.o', delete=False) as f:
obj_path = f.name
try:
result = subprocess.run(
[get_llvm_mc(), '-triple=amdgcn', '-mcpu=gfx1100', '-mattr=+real-true16,+wavefrontsize32', '-filetype=obj', '-o', obj_path],
input=src, capture_output=True, text=True)
result = subprocess.run([get_llvm_mc(), '-triple=amdgcn', f'-mcpu={mcpu}', f'-mattr={mattr}', '-filetype=obj', '-o', obj_path],
input=src, capture_output=True, text=True)
if result.returncode != 0: raise RuntimeError(f"llvm-mc failed: {result.stderr.strip()}")
# Disassemble with llvm-objdump
result = subprocess.run([get_llvm_objdump(), '-d', '--mcpu=gfx1100', obj_path], capture_output=True, text=True)
result = subprocess.run([get_llvm_objdump(), '-d', f'--mcpu={mcpu}', obj_path], capture_output=True, text=True)
if result.returncode != 0: raise RuntimeError(f"llvm-objdump failed: {result.stderr.strip()}")
# Parse disassembly output
results: list[str] = []
for line in result.stdout.splitlines():
if '//' not in line: continue
@@ -96,18 +80,22 @@ def compile_and_disasm_batch(instrs: list[str], compiler) -> list[str]:
class TestTinygradKernelRoundtrip(unittest.TestCase):
"""Test roundtrip on real tinygrad-generated kernels using get_kernels_from_tinygrad pattern."""
arch = 'rdna3'
def _test_kernel_roundtrip(self, op_fn):
"""Generate kernel from op_fn, test:
1. decode -> reencode matches original bytes
2. asm(disasm()) matches LLVM output
3. our disasm() matches LLVM's disassembly string exactly
2. disasm() -> LLVM asm -> bytes matches original (validates disasm correctness)
3. our disasm() matches LLVM's disassembly string (informational)
"""
arch = self.arch
mcpu, mattr = ARCH_CONFIG[arch]
from extra.assembly.amd.test.test_compare_emulators import get_kernels_from_tinygrad
from tinygrad.runtime.support.compiler_amd import HIPCompiler
kernels, _, _ = get_kernels_from_tinygrad(op_fn)
compiler = HIPCompiler('gfx1100')
compiler = HIPCompiler(mcpu)
# First pass: decode all instructions and collect info
decoded_instrs: list[tuple] = [] # list of (ki, offset, orig_bytes, decoded, our_disasm, decode_ok, decode_err)
@@ -115,7 +103,7 @@ class TestTinygradKernelRoundtrip(unittest.TestCase):
offset = 0
while offset < len(kernel.code):
remaining = kernel.code[offset:]
fmt = detect_format(remaining)
fmt = detect_format(remaining, arch)
if fmt is None:
decoded_instrs.append((ki, offset, None, None, None, False, "no format"))
offset += 4
@@ -141,22 +129,22 @@ class TestTinygradKernelRoundtrip(unittest.TestCase):
offset += size
# Collect disasm strings for batched LLVM calls - skip unknown opcodes (op_X) that LLVM can't compile
asm_test_instrs: list[tuple[int, str]] = [] # (idx, our_disasm) for asm test
asm_test_instrs: list[tuple[int, str, bytes]] = [] # (idx, our_disasm, orig_bytes) for asm test
disasm_test_instrs: list[tuple[int, str]] = [] # (idx, our_disasm) for disasm comparison test
for idx, (ki, offset, orig_bytes, decoded, our_disasm, decode_ok, decode_err) in enumerate(decoded_instrs):
if our_disasm is None: continue
# Skip unknown opcodes and malformed instructions for both tests
# Skip unknown opcodes and malformed instructions
if our_disasm.startswith('op_') or re.search(r', \d+, \d+, \d+,', our_disasm): continue
asm_test_instrs.append((idx, our_disasm))
asm_test_instrs.append((idx, our_disasm, orig_bytes))
disasm_test_instrs.append((idx, our_disasm))
# Batch compile for asm test
asm_llvm_results = compile_asm_batch([d for _, d in asm_test_instrs])
asm_llvm_map = {idx: result for (idx, _), result in zip(asm_test_instrs, asm_llvm_results)}
# Batch compile for asm test (our disasm -> LLVM asm -> bytes)
asm_llvm_results = compile_asm_batch([d for _, d, _ in asm_test_instrs], arch)
asm_llvm_map = {idx: (result, orig) for (idx, _, orig), result in zip(asm_test_instrs, asm_llvm_results)}
# Batch compile+disasm for disasm comparison test
disasm_llvm_results = compile_and_disasm_batch([d for _, d in disasm_test_instrs], compiler)
disasm_llvm_results = compile_and_disasm_batch([d for _, d in disasm_test_instrs], arch)
disasm_llvm_map = {idx: result for (idx, _), result in zip(disasm_test_instrs, disasm_llvm_results)}
# Now evaluate results
@@ -177,20 +165,16 @@ class TestTinygradKernelRoundtrip(unittest.TestCase):
decode_failed += 1
decode_failures.append(f"K{ki}@{offset}: {our_disasm}: {decode_err}")
# Asm test
# Asm test: our disasm -> LLVM asm -> compare bytes with original
if our_disasm is None:
asm_skipped += 1
elif idx in asm_llvm_map:
llvm_bytes = asm_llvm_map[idx]
try:
our_bytes = asm(our_disasm).to_bytes()
if our_bytes[:len(llvm_bytes)] == llvm_bytes:
asm_passed += 1
else:
asm_failed += 1
asm_failures.append(f"K{ki}@{offset}: '{our_disasm}': ours={our_bytes[:len(llvm_bytes)].hex()} llvm={llvm_bytes.hex()}")
except Exception:
asm_skipped += 1
llvm_bytes, orig = asm_llvm_map[idx]
if llvm_bytes == orig[:len(llvm_bytes)]:
asm_passed += 1
else:
asm_failed += 1
asm_failures.append(f"K{ki}@{offset}: '{our_disasm}': llvm={llvm_bytes.hex()} orig={orig[:len(llvm_bytes)].hex()}")
else:
asm_skipped += 1
@@ -207,9 +191,9 @@ class TestTinygradKernelRoundtrip(unittest.TestCase):
else:
disasm_skipped += 1
print(f"decode roundtrip: {decode_passed} passed, {decode_failed} failed, {decode_skipped} skipped")
print(f"asm vs llvm: {asm_passed} passed, {asm_failed} failed, {asm_skipped} skipped")
print(f"disasm vs llvm: {disasm_passed} passed, {disasm_failed} failed, {disasm_skipped} skipped")
print(f"[{arch}] decode roundtrip: {decode_passed} passed, {decode_failed} failed, {decode_skipped} skipped")
print(f"[{arch}] asm via llvm: {asm_passed} passed, {asm_failed} failed, {asm_skipped} skipped")
print(f"[{arch}] disasm vs llvm: {disasm_passed} passed, {disasm_failed} failed, {disasm_skipped} skipped")
self.assertEqual(decode_failed, 0, f"Decode failures:\n" + "\n".join(decode_failures[:20]))
self.assertEqual(asm_failed, 0, f"Asm failures:\n" + "\n".join(asm_failures[:20]))
# Note: disasm string comparison is informational only - formatting differences between LLVM versions are expected
@@ -259,5 +243,11 @@ class TestTinygradKernelRoundtrip(unittest.TestCase):
# Fused ops
def test_fma(self): self._test_kernel_roundtrip(lambda T: (T([1.0, 2.0]) * T([3.0, 4.0]) + T([5.0, 6.0])))
@unittest.skip("RDNA4 decode roundtrip not yet supported")
class TestTinygradKernelRoundtripRDNA4(TestTinygradKernelRoundtrip): arch = 'rdna4'
@unittest.skip("CDNA decode roundtrip not yet supported")
class TestTinygradKernelRoundtripCDNA(TestTinygradKernelRoundtrip): arch = 'cdna'
if __name__ == "__main__":
unittest.main()
@@ -0,0 +1,199 @@
#!/usr/bin/env python3
"""Tests for SQTT packet decoding using real captured examples."""
import pickle, unittest, ctypes, threading
from pathlib import Path
from tinygrad.helpers import DEBUG
from tinygrad.runtime.autogen import rocprof
from tinygrad.runtime.support.elf import elf_loader
from extra.assembly.amd.decode import decode_inst
from extra.assembly.amd.autogen.rdna3.ins import SOPP
from extra.assembly.amd.autogen.rdna3.enum import SOPPOp
from extra.assembly.amd.sqtt import (decode, LAYOUT_HEADER, WAVESTART, WAVEEND, INST, VALUINST, IMMEDIATE, IMMEDIATE_MASK,
ALUEXEC, VMEMEXEC, PACKET_TYPES, InstOp, print_packets)
EXAMPLES_DIR = Path(__file__).parent.parent.parent.parent / "sqtt/examples"
# INST ops for non-traced SIMDs (excluded from instruction count)
OTHER_SIMD_OPS = {InstOp.OTHER_LDS_LOAD, InstOp.OTHER_LDS_STORE, InstOp.OTHER_LDS_STORE_64, InstOp.OTHER_LDS_STORE_128,
InstOp.OTHER_FLAT_LOAD, InstOp.OTHER_FLAT_STORE, InstOp.OTHER_FLAT_STORE_64, InstOp.OTHER_FLAT_STORE_96,
InstOp.OTHER_FLAT_STORE_128, InstOp.OTHER_GLOBAL_LOAD, InstOp.OTHER_GLOBAL_LOAD_VADDR,
InstOp.OTHER_GLOBAL_STORE_64, InstOp.OTHER_GLOBAL_STORE_96, InstOp.OTHER_GLOBAL_STORE_128,
InstOp.OTHER_GLOBAL_STORE_VADDR_128}
# ═══════════════════════════════════════════════════════════════════════════════
# ROCPROF DECODER
# ═══════════════════════════════════════════════════════════════════════════════
def run_rocprof_decoder(blobs: list[bytes], lib: bytes, base: int):
"""Run rocprof decoder on SQTT blobs, returning raw occupancy and instruction records."""
image, sections, _ = elf_loader(lib)
text = next((sh for sh in sections if sh.name == ".text"), None)
assert text is not None, "no .text section found"
text_off, text_size = text.header.sh_addr, text.header.sh_size
blob_iter, current_blob = iter(blobs), [None]
occupancy_records: list[tuple[int, int, int, int, bool]] = [] # (wave_id, simd, cu, time, is_start)
wave_insts: list[list[tuple[int, int]]] = [] # per-wave list of (time, stall)
@rocprof.rocprof_trace_decoder_se_data_callback_t
def copy_cb(buf, buf_size, _):
blob = next(blob_iter, None)
if blob is None: return 0
current_blob[0] = (ctypes.c_ubyte * len(blob)).from_buffer_copy(blob)
buf[0] = ctypes.cast(current_blob[0], ctypes.POINTER(ctypes.c_ubyte))
buf_size[0] = len(current_blob[0])
return len(current_blob[0])
@rocprof.rocprof_trace_decoder_trace_callback_t
def trace_cb(record_type, events_ptr, n, _):
if record_type == rocprof.ROCPROFILER_THREAD_TRACE_DECODER_RECORD_OCCUPANCY:
for ev in (rocprof.rocprofiler_thread_trace_decoder_occupancy_t * n).from_address(events_ptr):
occupancy_records.append((ev.wave_id, ev.simd, ev.cu, ev.time, ev.start))
elif record_type == rocprof.ROCPROFILER_THREAD_TRACE_DECODER_RECORD_WAVE:
for ev in (rocprof.rocprofiler_thread_trace_decoder_wave_t * n).from_address(events_ptr):
if ev.instructions_size > 0:
sz = ev.instructions_size * ctypes.sizeof(rocprof.rocprofiler_thread_trace_decoder_inst_t)
insts_blob = bytearray(sz)
ctypes.memmove((ctypes.c_char * sz).from_buffer(insts_blob), ev.instructions_array, sz)
insts = list((rocprof.rocprofiler_thread_trace_decoder_inst_t * ev.instructions_size).from_buffer(insts_blob))
wave_insts.append([(inst.time, inst.stall) for inst in insts])
return rocprof.ROCPROFILER_THREAD_TRACE_DECODER_STATUS_SUCCESS
@rocprof.rocprof_trace_decoder_isa_callback_t
def isa_cb(instr_ptr, mem_size_ptr, size_ptr, pc, _):
offset = pc.address - base
if offset < text_off or offset >= text_off + text_size:
mem_size_ptr[0] = 0
return rocprof.ROCPROFILER_THREAD_TRACE_DECODER_STATUS_SUCCESS
try:
inst = decode_inst(image[offset:])
mem_size_ptr[0] = inst._size()
except (ValueError, AssertionError):
mem_size_ptr[0] = 0
return rocprof.ROCPROFILER_THREAD_TRACE_DECODER_STATUS_SUCCESS
if isinstance(inst, SOPP) and inst.op == SOPPOp.S_ENDPGM: mem_size_ptr[0] = 0
# rocprof parses instruction string to determine type; v_nop works for all
if (max_sz := size_ptr[0]) == 0: return rocprof.ROCPROFILER_THREAD_TRACE_DECODER_STATUS_ERROR_OUT_OF_RESOURCES
ctypes.memmove(instr_ptr, b"v_nop", min(5, max_sz - 1))
size_ptr[0] = min(5, max_sz - 1)
return rocprof.ROCPROFILER_THREAD_TRACE_DECODER_STATUS_SUCCESS
exc = None
def worker():
nonlocal exc
try: rocprof.rocprof_trace_decoder_parse_data(copy_cb, trace_cb, isa_cb, None)
except Exception as e: exc = e
(t:=threading.Thread(target=worker, daemon=True)).start()
t.join(timeout=1)
if exc is not None: raise exc
if t.is_alive(): raise RuntimeError("rocprof decoder timeout")
return occupancy_records, wave_insts
class TestSQTTExamples(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.examples = {}
for pkl_path in sorted(EXAMPLES_DIR.glob("*.pkl")):
with open(pkl_path, "rb") as f:
data = pickle.load(f)
sqtt_events = [e for e in data if type(e).__name__ == "ProfileSQTTEvent"]
prg = next((e for e in data if type(e).__name__ == "ProfileProgramEvent"), None)
if sqtt_events and prg:
cls.examples[pkl_path.stem] = (sqtt_events, prg.lib, prg.base)
def test_examples_loaded(self):
self.assertGreater(len(self.examples), 0, "no example files found")
def test_decode_all_examples(self):
for name, (events, *_) in self.examples.items():
for i, event in enumerate(events):
with self.subTest(example=name, event=i):
packets = list(decode(event.blob))
if DEBUG >= 2: print(f"\n=== {name} event {i} ==="); print_packets(packets)
self.assertGreater(len(packets), 0, f"no packets decoded from {name} event {i}")
self.assertIsInstance(packets[0], LAYOUT_HEADER, f"first packet should be LAYOUT_HEADER in {name}")
def test_packet_types_valid(self):
for name, (events, *_) in self.examples.items():
for i, event in enumerate(events):
with self.subTest(example=name, event=i):
for pkt in decode(event.blob):
self.assertIn(type(pkt), PACKET_TYPES, f"unknown packet type {type(pkt)} in {name}")
def test_wave_lifecycle(self):
for name, (events, *_) in self.examples.items():
if "empty" in name: continue
with self.subTest(example=name):
all_packets = [p for e in events for p in decode(e.blob)]
self.assertGreater(len([p for p in all_packets if isinstance(p, WAVESTART)]), 0, f"no WAVESTART in {name}")
self.assertGreater(len([p for p in all_packets if isinstance(p, WAVEEND)]), 0, f"no WAVEEND in {name}")
def test_time_monotonic(self):
for name, (events, *_) in self.examples.items():
for i, event in enumerate(events):
with self.subTest(example=name, event=i):
times = [p._time for p in decode(event.blob)]
self.assertEqual(times, sorted(times), f"timestamps not monotonic in {name}")
def test_gemm_has_instructions(self):
for name, (events, *_) in self.examples.items():
if "gemm" not in name: continue
with self.subTest(example=name):
all_packets = [p for e in events for p in decode(e.blob)]
self.assertGreater(len([p for p in all_packets if isinstance(p, INST)]), 0, f"no INST packets in {name}")
def test_packet_counts(self):
expected = {
"profile_empty_run_0": [559, 600],
"profile_empty_run_1": [517, 570],
"profile_gemm_run_0": [1489, 604, 1789, 466, 17570, 407],
"profile_gemm_run_1": [1453, 604, 1871, 493, 17827, 460],
"profile_plus_run_0": [695, 668],
"profile_plus_run_1": [663, 593],
}
for name, (events, *_) in self.examples.items():
with self.subTest(example=name):
counts = [len(list(decode(e.blob))) for e in events]
self.assertEqual(counts, expected[name], f"packet count mismatch in {name}")
def test_rocprof_wave_times_match(self):
"""Wave start/end times must match rocprof exactly."""
for name, (events, lib, base) in self.examples.items():
with self.subTest(example=name):
occupancy, _ = run_rocprof_decoder([e.blob for e in events], lib, base)
# extract from rocprof occupancy records
roc_starts: dict[tuple[int, int, int], int] = {}
roc_waves: list[tuple[int, int]] = []
for wave_id, simd, cu, time, is_start in occupancy:
key = (wave_id, simd, cu)
if is_start: roc_starts[key] = time
elif key in roc_starts: roc_waves.append((roc_starts.pop(key), time))
# extract from our decoder
our_waves: list[tuple[int, int]] = []
for event in events:
wave_starts: dict[tuple[int, int, int], int] = {}
for p in decode(event.blob):
if isinstance(p, WAVESTART): wave_starts[(p.wave, p.simd, p.cu)] = p._time
elif isinstance(p, WAVEEND) and (key := (p.wave, p.simd, p.cu)) in wave_starts:
our_waves.append((wave_starts[key], p._time))
self.assertEqual(sorted(our_waves), sorted(roc_waves), f"wave times mismatch in {name}")
def test_rocprof_inst_times_match(self):
"""Instruction times must match rocprof exactly (excluding s_endpgm)."""
for name, (events, lib, base) in self.examples.items():
with self.subTest(example=name):
_, wave_insts = run_rocprof_decoder([e.blob for e in events], lib, base)
# skip last inst per wave (s_endpgm) - it needs special handling (time + duration instead of time + stall)
roc_insts = [time + stall for insts in wave_insts for time, stall in insts[:-1]]
# extract from our decoder
our_insts: list[int] = []
for event in events:
for p in decode(event.blob):
if isinstance(p, INST) and p.op not in OTHER_SIMD_OPS: our_insts.append(p._time)
elif isinstance(p, VALUINST): our_insts.append(p._time)
elif isinstance(p, IMMEDIATE): our_insts.append(p._time)
elif isinstance(p, IMMEDIATE_MASK):
for _ in range(bin(p.mask).count('1')): our_insts.append(p._time)
self.assertEqual(sorted(our_insts), sorted(roc_insts), f"instruction times mismatch in {name}")
if __name__ == "__main__":
unittest.main()
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from typing import Callable, Any
from tinygrad import Tensor, dtypes, nn, UOp
from tinygrad.uop.ops import KernelInfo, AxisType, Ops
def quantize_to_fp8(x: Tensor, dtype=dtypes.fp8e4m3):
fp8_min = -448.0 if dtype == dtypes.fp8e4m3 else -57344.0
fp8_max = 448.0 if dtype == dtypes.fp8e4m3 else 57344.0
x_abs_max = x.abs().max().detach()
scale = fp8_max / (x_abs_max + 1e-8)
x_scaled = x * scale
x_det = x_scaled.detach()
x_clamped = x_det.clamp(fp8_min, fp8_max)
x_clamped_ste = x_scaled + (x_clamped - x_det)
res = x_clamped_ste.cast(dtype)
return res, scale.float().reciprocal()
def custom_matmul(output: UOp, inp: UOp, weight: UOp) -> UOp:
SEQ = inp.shape[1]
OUT = weight.shape[0]
IN = weight.shape[-1]
seq_idx = UOp.range(SEQ, 2, AxisType.LOOP)
out_idx = UOp.range(OUT, 3, AxisType.LOOP)
batch_idx = UOp.range(output.size//SEQ//OUT, 1, AxisType.LOOP)
reduce_idx = UOp.range(IN, 0, AxisType.REDUCE)
product = (inp.index((seq_idx*IN+reduce_idx+batch_idx*IN*SEQ)) * weight.index((out_idx*IN+reduce_idx))).cast(dtypes.float)
reduced = product.reduce(reduce_idx, arg=Ops.ADD)
store_op = output.index((seq_idx*OUT+out_idx+batch_idx*OUT*SEQ), ptr=True).store(reduced).end(batch_idx, seq_idx, out_idx)
return store_op.sink(arg=KernelInfo(name=f"fp8_matmul_{inp.shape}x{weight.shape}"))
def custom_matmul_backward(gradient: UOp, kernel: UOp) -> tuple[UOp, UOp]:
_, input_uop, weight_uop = kernel.src
input_tensor = Tensor(input_uop, device=input_uop.device)
grad_tensor = Tensor(gradient, device=gradient.device)
weight_tensor = Tensor(weight_uop, device=weight_uop.device)
grad_quantized, scale = quantize_to_fp8(grad_tensor)
scale_scalar = scale.reshape(())
grad_weight = Tensor.einsum("bso,bsi->oi", grad_quantized, input_tensor, dtype=dtypes.float)
grad_weight = grad_weight * scale_scalar
grad_2d = grad_quantized.reshape(grad_tensor.shape[0] * grad_tensor.shape[1], grad_tensor.shape[-1])
grad_input = (grad_2d.dot(weight_tensor, dtype=dtypes.float)).contiguous().reshape(input_tensor.shape) * scale
return (None, grad_input.uop, grad_weight.uop)
class FP8Linear:
def __init__(self, in_features:int, out_features:int, bias:bool=True):
self.weight = Tensor.empty(out_features, in_features, dtype=dtypes.float32)
self.bias = Tensor.empty(out_features, dtype=dtypes.float32) if bias else None
def __call__(self, x: Tensor) -> Tensor:
original_ndim = len(x.shape)
if original_ndim == 2: x = x.reshape(x.shape[0], 1, x.shape[1])
batch, seq, _ = x.shape
w_fp8, w_scale = quantize_to_fp8(self.weight)
x_fp8, x_scale = quantize_to_fp8(x)
GPUS = self.weight.device
if isinstance(GPUS, tuple) and len(GPUS) > 1:
y = Tensor(Tensor.empty((batch//len(GPUS), seq, self.weight.shape[0]), dtype=dtypes.float, device=GPUS).uop.multi(0), device=GPUS)
else:
y = Tensor.empty((batch, seq, self.weight.shape[0]), dtype=dtypes.float)
y = Tensor.custom_kernel(y, x_fp8, w_fp8, fxn=custom_matmul, grad_fxn=custom_matmul_backward)[0]
y = y * w_scale * x_scale
if self.bias is not None: y = y + self.bias
if original_ndim == 2: y = y.reshape(batch, self.weight.shape[0])
return y.cast(x.dtype)
def _replace_linear(layer: nn.Linear):
fp8_linear = FP8Linear(layer.weight.shape[1], layer.weight.shape[0], layer.bias is not None)
fp8_linear.weight = layer.weight
if layer.bias is not None: fp8_linear.bias = layer.bias
return fp8_linear
def _swap_linear_with_fp8(model, module_filter_fn:Callable[[Any, str],bool]|None=None, fqn:str="", parent:Any|None=None,
attr_name:str="", visited:set|None=None):
if visited is None: visited = set()
if id(model) in visited: return
visited.add(id(model))
if isinstance(model, (str, int, float, bool, type(None), Tensor, UOp)): return
elif isinstance(model, nn.Linear):
if module_filter_fn is not None and not module_filter_fn(model, fqn): return
fp8_linear = _replace_linear(model)
if parent is not None and attr_name:
setattr(parent, attr_name, fp8_linear)
elif isinstance(model, list):
for i, item in enumerate(model):
child_fqn = f"{fqn}.{i}" if fqn else str(i)
if isinstance(item, nn.Linear) and (module_filter_fn is None or module_filter_fn(item, child_fqn)): model[i] = _replace_linear(item)
else: _swap_linear_with_fp8(item, module_filter_fn, child_fqn, None, "", visited)
elif isinstance(model, dict):
for key, item in list(model.items()):
child_fqn = f"{fqn}.{key}" if fqn else str(key)
if isinstance(item, nn.Linear) and (module_filter_fn is None or module_filter_fn(item, child_fqn)): model[key] = _replace_linear(item)
else: _swap_linear_with_fp8(item, module_filter_fn, child_fqn, None, "", visited)
elif hasattr(model, "__dict__"):
for attr_key in list(vars(model).keys()):
try: attr = getattr(model, attr_key)
except Exception: continue
child_fqn = f"{fqn}.{attr_key}" if fqn else attr_key
_swap_linear_with_fp8(attr, module_filter_fn, child_fqn, model, attr_key, visited)
def convert_to_float8_training(model, module_filter_fn:Callable[[Any,str],bool]|None=None):
_swap_linear_with_fp8(model, module_filter_fn, "", None, "")
return model
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# RDNA3 128x128 tiled GEMM kernel - DSL version
# Computes C = A @ B for 4096x4096 float32 matrices using 128x128 tiles
#
# Architecture: RDNA3 (gfx1100)
# Tile size: 128x128 (each workgroup computes one tile of C)
# Workgroup: 128 threads (arranged as 32x4 for coalesced memory access)
# Inner loop: 8 iterations per K-block, processing 8 columns of A and 8 rows of B
#
# Accumulators: 128 vgprs (v[2-117], v[120-124], v[126-129], v[131-133])
import numpy as np
from pathlib import Path
from tinygrad import Tensor, Device, Context, GlobalCounters
from tinygrad.uop.ops import UOp, Ops, KernelInfo
from tinygrad.helpers import getenv, colored
from tinygrad.engine.realize import Estimates
from extra.assembly.amd.dsl import s, v, VCC_LO, NULL
from extra.assembly.amd.autogen.rdna3.ins import *
# =============================================================================
# Kernel constants
# =============================================================================
LDS_SIZE = 8320 # Local data share size in bytes
MATRIX_DIM = 4096 # Matrix dimension N (assumes square NxN matrices)
LDS_A_STRIDE = 0x210 # LDS stride for A tile (528 bytes)
LDS_B_STRIDE = 0x200 # LDS stride for B tile (512 bytes)
LDS_BASE_OFFSET = 0x1080 # Base LDS offset for tiles
ADDR_MASK = 0x3fffff80 # Address alignment mask
# s_waitcnt encodings: wait for memory operations to complete
WAIT_LGKM = 64519 # wait for LDS/GDS/KMEM (lgkm_cnt=0)
WAIT_ALL = 0 # wait for everything
WAIT_VMEM = 1015 # wait for VMEM only (vm_cnt=0, lgkm_cnt=63)
# =============================================================================
# Named register assignments (VGPRs) - COMPACT LAYOUT
# =============================================================================
V_LANE_ID_MOD8 = 182 # lane_id & 7 (column within 8-wide tile chunk)
V_OUTPUT_ROW = 171 # output row coordinate
V_LANE_MOD8_X4 = 174 # V_LANE_ID_MOD8 << 2 (byte offset)
V_LANE_DIV8_X4 = 175 # (lane_id >> 3) << 2
V_ADDR_HI_ZERO = 188 # always 0 (for 64-bit address high bits)
V_LDS_A_BASE = 186 # LDS A-tile base address for inner loop
V_LDS_B_BASE = 170 # LDS B-tile base address for inner loop
V_GLOBAL_A_ADDR = 171 # global memory A prefetch address (reuses V_OUTPUT_ROW slot during main loop)
V_GLOBAL_B_ADDR = 178 # global memory B prefetch address
# LDS tile register destinations - SEPARATE from DATA to avoid overlap
# A on banks 2-3, B on banks 0-1 to avoid bank conflicts in VOPD
# Double-buffered: buffer 0 (v130-v161), buffer 1 (v194-v225)
V_A_TILE_REGS = [[130, 134, 138, 142], [194, 198, 202, 206]] # A tile: banks 2,2,2,2 (mod 4 = 2)
V_B_TILE_REGS = [[132, 136, 140, 144, 148, 152, 156, 160], [192, 196, 200, 204, 208, 212, 216, 220]] # B tile: banks 0,0,0,0 (mod 4 = 0)
# =============================================================================
# Named register assignments (SGPRs)
# =============================================================================
S_OUT_PTR = (0, 1) # output C matrix base pointer
S_TILE_X = 2 # workgroup_x << 7
S_TILE_Y = 3 # workgroup_y << 7
S_DIM_N = 4 # matrix dimension N
S_LOOP_BOUND = 7 # K-8 (loop termination bound)
S_A_PTR = (8, 9) # A matrix base pointer
S_B_PTR = (10, 11) # B matrix base pointer
S_LOOP_CTR = 12 # loop counter (increments by 8)
S_PREFETCH_FLAG = 13 # prefetch condition flag / row stride in epilogue
S_WORKGROUP_X = 14 # workgroup_id_x
S_WORKGROUP_Y = 15 # workgroup_id_y
# Kernarg load destinations (before copy to working regs)
S_KERNARG_OUT = (16, 17) # output pointer from kernarg
S_KERNARG_A = (20, 21) # A pointer from kernarg
S_KERNARG_B = (22, 23) # B pointer from kernarg
# Prefetch base pointers (8 pairs each, 16KB/256KB apart)
S_PREFETCH_B = 24 # s[24:39] - 8 B tile pointers
S_PREFETCH_A = 40 # s[40:55] - 8 A tile pointers
# =============================================================================
# Data tables
# =============================================================================
# Accumulator grid: ACC_GRID[a_idx][b_idx] = vgpr for C[a,b]
# a_idx: which A value (0-7), b_idx: which B value (0-15)
# Scattered due to VOPD bank constraints (vdst_x % 4 != vdst_y % 4)
# Range is from v2 - v129
ACC_GRID = [
[ 5, 3, 9, 8, 37, 35, 41, 40, 69, 67, 73, 72, 101, 99,105,104], # a0
[ 4, 2, 7, 6, 36, 34, 39, 38, 68, 66, 71, 70, 100, 98,103,102], # a1
[ 17, 16, 13, 11, 49, 48, 45, 43, 81, 80, 77, 75, 113,112,109,107], # a2
[ 15, 14, 12, 10, 47, 46, 44, 42, 79, 78, 76, 74, 111,110,108,106], # a3
[ 21, 19, 25, 24, 53, 51, 57, 56, 85, 83, 89, 88, 117,115,121,120], # a4
[ 20, 18, 23, 22, 52, 50, 55, 54, 84, 82, 87, 86, 116,114,123,122], # a5
[125,128, 29, 27, 33, 32, 61, 59, 65, 64, 93, 91, 97, 96,129,127], # a6
[119,118, 28, 26, 31, 30, 60, 58, 63, 62, 92, 90, 95, 94,124,126], # a7
]
# Optimized (a_pair, b_pair) iteration order for better GPU scheduling
# Interleaves A and B pairs to maximize instruction-level parallelism
FMAC_PAIR_ORDER = [
(0,0),(0,1),(1,1),(1,0), (2,0),(2,1),(3,1),(3,2), (0,2),(0,3),(1,3),(1,2), (2,2),(2,3),(3,3),(3,4),
(0,4),(0,5),(1,5),(1,4), (2,4),(2,5),(3,5),(3,6), (0,6),(0,7),(1,7),(1,6), (2,6),(2,7),(3,7),(3,0),
]
def derive_fmac_pattern(acc_grid, a_tile_regs, b_tile_regs):
"""Generate 64 dual FMAC ops from accumulator grid with optimized iteration order."""
pattern = []
for idx, (a_pair, b_pair) in enumerate(FMAC_PAIR_ORDER):
a_even, a_odd = a_pair * 2, a_pair * 2 + 1
b_even, b_odd = b_pair * 2, b_pair * 2 + 1
a_base, b_base = a_tile_regs[a_pair], b_tile_regs[b_pair]
# Op 1: normal order -> C[a_even, b_even] + C[a_odd, b_odd]
pattern.append((acc_grid[a_even][b_even], acc_grid[a_odd][b_odd],
a_base, b_base, a_base+1, b_base+1))
# Op 2: alternate swapping A vs B to vary register banks
if idx % 2 == 0: # swap B
pattern.append((acc_grid[a_even][b_odd], acc_grid[a_odd][b_even],
a_base, b_base+1, a_base+1, b_base))
else: # swap A
pattern.append((acc_grid[a_odd][b_even], acc_grid[a_even][b_odd],
a_base+1, b_base, a_base, b_base+1))
return pattern
# Derived: 64 dual FMAC operations for each buffer
FMAC_PATTERN = [derive_fmac_pattern(ACC_GRID, V_A_TILE_REGS[i], V_B_TILE_REGS[i]) for i in range(2)]
def derive_permute_swaps(acc_grid, out_regs):
"""Derive swap sequence to permute accumulators from FMAC layout to output order.
After FMAC loop: acc_grid[a][b] holds C[a,b]
Output order: for row_half in 0,1; col_group in 0-3; row_in_group in 0-3; b_off in 0-3
-> need C[row_half*4 + row_in_group, col_group*4 + b_off] in descending reg order
"""
def target_ab(i):
row_half, col_group = i // 64, (i // 16) % 4
row_in_group, b_off = (i // 4) % 4, i % 4
return (row_half * 4 + row_in_group, col_group * 4 + b_off)
reg_contents = {acc_grid[a][b]: (a, b) for a in range(8) for b in range(16)}
ab_location = {ab: r for r, ab in reg_contents.items()}
swaps = []
for i in range(128):
target_reg, needed_ab = out_regs[i], target_ab(i)
current_reg = ab_location[needed_ab]
if current_reg != target_reg:
swaps.append((current_reg, target_reg))
ab_at_target = reg_contents.get(target_reg)
reg_contents[target_reg], ab_location[needed_ab] = needed_ab, target_reg
if ab_at_target is not None:
reg_contents[current_reg], ab_location[ab_at_target] = ab_at_target, current_reg
return swaps
# Derived: swap sequence to arrange accumulators for output
OUT_REGS = list(range(129, 1, -1))
PERMUTE_SWAPS = derive_permute_swaps(ACC_GRID, OUT_REGS)
# =============================================================================
# LDS tile staging registers - COMPACT LAYOUT
# =============================================================================
# DATA regs receive contiguous global prefetch, then write to LDS
# TILE regs receive scattered LDS loads (ds_load_b64 pairs), then feed FMACs
# These are SEPARATE - DATA lives during prefetch/store, TILE lives during inner loop
V_LDS_A_ADDR = 189 # single base register for A stores (use +512 offsets)
V_LDS_A_DATA = [155, 172, 173, 154, 159, 176, 177, 158] # 8 data registers for A prefetch (mod 4: 3,0,1,2,3,0,1,2)
V_LDS_B_ADDR = 190 # single base register for B stores (use 16-bit offsets)
V_LDS_B_DATA = [163, 180, 181, 162, 167, 184, 185, 166] # 8 data registers for B prefetch (mod 4: 3,0,1,2,3,0,1,2)
# Global memory prefetch schedule: (vdst1, vdst2, addr_vreg, saddr_lo1, saddr_lo2)
# First 2 pairs from B prefetch pointers (s[32:39]), next 4 pairs from A prefetch pointers (s[40:55])
PREFETCH_LOADS = [(V_LDS_A_DATA[4+2*i], V_LDS_A_DATA[4+2*i+1], V_GLOBAL_B_ADDR, S_PREFETCH_B+8+4*i, S_PREFETCH_B+10+4*i) for i in range(2)] + \
[(V_LDS_B_DATA[2*(i-2)], V_LDS_B_DATA[2*(i-2)+1], V_GLOBAL_A_ADDR, S_PREFETCH_A+4*(i-2), S_PREFETCH_A+2+4*(i-2)) for i in range(2, 6)]
# Initial tile prefetch: (vdst, saddr_lo) - load into A data regs using B prefetch pointers (s[24:31])
INIT_PREFETCH = [(V_LDS_A_DATA[i], S_PREFETCH_B+2*i) for i in range(4)]
# Initial tile loads: (vdst, addr_lo) pairs - use temp regs in accumulator gaps
INIT_TILE_LOADS = [(23,5),(24,9),(25,7),(26,2),(27,11),(28,13),(29,6),(30,8),(31,10),(12,12),(13,14),(3,2),(4,4),(5,8),(6,6),(7,10)]
# A matrix row offset registers (scattered to avoid accumulator conflicts)
ROW_REGS = [165, 146, 147, 164, 169, 150, 151, 168] # mod 4: 1,2,3,0,1,2,3,0
# =============================================================================
# Kernel class
# =============================================================================
class Kernel:
def __init__(self, arch='gfx1100'):
self.instructions, self.labels, self.branch_targets, self.arch = [], {}, {}, arch
def emit(self, inst): self.instructions.append(inst); return inst
def label(self, name): self.labels[name] = len(self.instructions)
def branch_to(self, label): self.branch_targets[len(self.instructions) - 1] = label
def waitcnt(self, lgkm=None, vm=None):
"""Wait for memory operations. lgkm=N waits until N lgkm ops remain, vm=N waits until N vmem ops remain."""
vmcnt, lgkmcnt, expcnt = vm if vm is not None else 63, lgkm if lgkm is not None else 63, 7
waitcnt = (expcnt & 0x7) | ((lgkmcnt & 0x3f) << 4) | ((vmcnt & 0x3f) << 10)
self.emit(s_waitcnt(simm16=waitcnt))
def to_asm(self):
import re
# Instruction stream with labels
label_at = {pos: name for name, pos in self.labels.items()}
body = []
for i, inst in enumerate(self.instructions):
if i in label_at: body.append(f'.{label_at[i]}:')
asm = inst.disasm()
if i in self.branch_targets:
asm = re.sub(r'(s_cbranch_\w+|s_branch)\s+\S+', rf'\1 .{self.branch_targets[i]}', asm)
body.append('\t' + asm)
# limit wave occupancy by using more LDS
lds_size = max(LDS_SIZE, 65536//getenv("LIMIT_OCC", 65536))
# HSA kernel descriptor attributes (zeros included for compatibility)
hsa = [
('group_segment_fixed_size', lds_size), ('private_segment_fixed_size', 0), ('kernarg_size', 36),
('user_sgpr_count', 14), ('user_sgpr_dispatch_ptr', 0), ('user_sgpr_queue_ptr', 0),
('user_sgpr_kernarg_segment_ptr', 1), ('user_sgpr_dispatch_id', 0), ('user_sgpr_private_segment_size', 0),
('wavefront_size32', 1), ('uses_dynamic_stack', 0), ('enable_private_segment', 0),
('system_sgpr_workgroup_id_x', 1), ('system_sgpr_workgroup_id_y', 1), ('system_sgpr_workgroup_id_z', 0),
('system_sgpr_workgroup_info', 0), ('system_vgpr_workitem_id', 0), ('next_free_vgpr', 222),
('next_free_sgpr', 16), ('float_round_mode_32', 0), ('float_round_mode_16_64', 0),
('float_denorm_mode_32', 3), ('float_denorm_mode_16_64', 3), ('dx10_clamp', 1), ('ieee_mode', 1),
('fp16_overflow', 0), ('workgroup_processor_mode', 0), ('memory_ordered', 1), ('forward_progress', 0),
('shared_vgpr_count', 0)]
return '\n'.join([
'\t.text', f'\t.amdgcn_target "amdgcn-amd-amdhsa--{self.arch}"',
'\t.protected\tkernel', '\t.globl\tkernel', '\t.p2align\t8', '\t.type\tkernel,@function', 'kernel:',
*body,
'\t.section\t.rodata,"a",@progbits', '\t.p2align\t6, 0x0', '\t.amdhsa_kernel kernel',
*[f'\t\t.amdhsa_{k} {v}' for k, v in hsa],
'\t.end_amdhsa_kernel', '\t.text', '.Lfunc_end0:', '\t.size\tkernel, .Lfunc_end0-kernel',
'\t.amdgpu_metadata', '---', 'amdhsa.kernels:', ' - .args:',
*[f' - .address_space: global\n .offset: {i*8}\n .size: 8\n .value_kind: global_buffer' for i in range(3)],
f' .group_segment_fixed_size: {lds_size}', ' .kernarg_segment_align: 8',
' .kernarg_segment_size: 24', ' .max_flat_workgroup_size: 128', ' .name: kernel',
' .private_segment_fixed_size: 0', ' .sgpr_count: 60', ' .symbol: kernel.kd',
' .vgpr_count: 222', ' .wavefront_size: 32', f'amdhsa.target: amdgcn-amd-amdhsa--{self.arch}',
'amdhsa.version:', ' - 1', ' - 2', '...', '\t.end_amdgpu_metadata'])
# =============================================================================
# Kernel builder
# =============================================================================
def build_kernel(arch='gfx1100'):
k = Kernel(arch)
# ===========================================================================
# PROLOGUE: Load kernel arguments, compute tile coordinates and addresses
# ===========================================================================
k.emit(s_load_b128(sdata=s[S_KERNARG_A[0]:S_KERNARG_B[1]], sbase=s[0:1], offset=0x0, soffset=NULL))
k.emit(s_load_b64(sdata=s[S_KERNARG_OUT[0]:S_KERNARG_OUT[1]], sbase=s[0:1], offset=0x10, soffset=NULL))
k.emit(s_mov_b32(s[S_DIM_N], MATRIX_DIM))
k.emit(s_mov_b32(s[S_LOOP_CTR], 0)) # used by LDS swizzle, always 0 for valid workgroups
k.emit(s_lshl_b32(s[S_TILE_X], s[S_WORKGROUP_X], 7))
k.emit(s_lshl_b32(s[S_TILE_Y], s[S_WORKGROUP_Y], 7))
# Lane-derived values
k.emit(v_and_b32_e32(v[V_LANE_ID_MOD8], 7, v[0]))
k.emit(v_lshrrev_b32_e32(v[4], 3, v[0]))
k.emit(v_or_b32_e32(v[1], s[S_TILE_X], v[0]))
k.emit(v_or_b32_e32(v[22], s[S_TILE_Y], v[4]))
k.emit(v_lshlrev_b32_e32(v[V_LANE_MOD8_X4], 2, v[V_LANE_ID_MOD8]))
k.emit(v_mov_b32_e32(v[2], 0)) # v[1] always positive, sign extension is 0
k.emit(v_lshlrev_b64(v[5:6], 2, v[1:2]))
k.waitcnt(lgkm=0)
# Copy pointers to working registers
k.emit(s_mov_b64(s[S_OUT_PTR[0]:S_OUT_PTR[1]], s[S_KERNARG_OUT[0]:S_KERNARG_OUT[1]]))
k.emit(s_mov_b64(s[S_A_PTR[0]:S_A_PTR[1]], s[S_KERNARG_A[0]:S_KERNARG_A[1]]))
k.emit(s_mov_b64(s[S_B_PTR[0]:S_B_PTR[1]], s[S_KERNARG_B[0]:S_KERNARG_B[1]]))
# Compute 8 A and B matrix tile base pointers for prefetch
k.emit(s_mov_b64(s[S_PREFETCH_B:S_PREFETCH_B+1], s[S_KERNARG_B[0]:S_KERNARG_B[1]])) # B[0]: no offset
for i in range(1, 8): # B: 16KB apart
k.emit(s_add_u32(s[S_PREFETCH_B+i*2], s[S_KERNARG_B[0]], i * 0x4000))
k.emit(s_addc_u32(s[S_PREFETCH_B+i*2+1], s[S_KERNARG_B[1]], 0))
k.emit(s_mov_b64(s[S_PREFETCH_A:S_PREFETCH_A+1], s[S_KERNARG_A[0]:S_KERNARG_A[1]])) # A[0]: no offset
for i in range(1, 8): # A: 256KB apart
k.emit(s_add_u32(s[S_PREFETCH_A+i*2], s[S_KERNARG_A[0]], i * 0x40000))
k.emit(s_addc_u32(s[S_PREFETCH_A+i*2+1], s[S_KERNARG_A[1]], 0))
# Global prefetch addresses: B = (tile_x + lane_id) * 4, A = ((tile_y << 12) + (lane_id/8)*4K + lane_id%8) * 4
k.emit(v_add_nc_u32_e32(v[V_GLOBAL_B_ADDR], s[S_TILE_X], v[0]))
k.emit(v_lshlrev_b32_e32(v[V_GLOBAL_B_ADDR], 2, v[V_GLOBAL_B_ADDR]))
k.emit(s_lshl_b32(s[19], s[S_TILE_Y], 12))
k.emit(v_lshl_add_u32(v[V_GLOBAL_A_ADDR], v[4], 12, v[V_LANE_ID_MOD8])) # (lane_id/8)*4K + lane_id%8
k.emit(v_add_nc_u32_e32(v[V_GLOBAL_A_ADDR], s[19], v[V_GLOBAL_A_ADDR]))
k.emit(v_lshlrev_b32_e32(v[V_GLOBAL_A_ADDR], 2, v[V_GLOBAL_A_ADDR]))
# ===========================================================================
# Tile address computation for initial A/B matrix loads
# ===========================================================================
k.emit(s_lshl_b32(s[S_LOOP_BOUND], s[S_DIM_N], 4)) # row stride = 16*N
k.emit(v_mul_lo_u32(v[ROW_REGS[0]], v[22], s[S_DIM_N])) # A matrix row offsets
for i in range(1, 8): k.emit(v_add_nc_u32_e32(v[ROW_REGS[i]], s[S_LOOP_BOUND], v[ROW_REGS[i-1]]))
def addr64(dst, base_s): # 64-bit address: v[dst:dst+1] = s[base_s:base_s+1] + v[dst]*4
k.emit(v_mov_b32_e32(v[dst+1], 0)) # offset always positive, sign ext = 0
k.emit(v_lshlrev_b64(v[dst:dst+1], 2, v[dst:dst+1]))
k.emit(v_add_co_u32(v[dst], VCC_LO, s[base_s], v[dst]))
k.emit(v_add_co_ci_u32_e32(v[dst+1], s[base_s+1], v[dst+1]))
def b_addr(dst, mult, tmp=None): # B address for col + mult*N
tmp = tmp if tmp is not None else dst
k.emit(v_mad_u32_u24(v[tmp], s[S_DIM_N], mult, v[1]))
if tmp != dst:
k.emit(v_mov_b32_e32(v[tmp+1], 0)) # offset always positive
k.emit(v_lshlrev_b64(v[dst:dst+1], 2, v[tmp:tmp+1]))
k.emit(v_add_co_u32(v[dst], VCC_LO, s[S_B_PTR[0]], v[dst]))
k.emit(v_add_co_ci_u32_e32(v[dst+1], s[S_B_PTR[1]], v[dst+1]))
else: addr64(dst, S_B_PTR[0])
def a_addr(dst, row_reg, tmp): # A address for row_reg + lane_id_mod8
k.emit(v_add_nc_u32_e32(v[tmp], v[row_reg], v[V_LANE_ID_MOD8]))
k.emit(v_mov_b32_e32(v[tmp+1], 0)) # offset always positive
k.emit(v_lshlrev_b64(v[dst:dst+1], 2, v[tmp:tmp+1]))
k.emit(v_add_co_u32(v[dst], VCC_LO, s[S_A_PTR[0]], v[dst]))
k.emit(v_add_co_ci_u32_e32(v[dst+1], s[S_A_PTR[1]], v[dst+1]))
# Batch 1: B addresses (cols 0-5) and loads
k.emit(v_add_co_u32(v[5], VCC_LO, s[S_B_PTR[0]], v[5]))
k.emit(v_add_co_ci_u32_e32(v[6], s[S_B_PTR[1]], v[6]))
for dst, mult in [(9,1), (7,2), (2,3), (11,4), (13,5)]: b_addr(dst, mult)
k.emit(s_clause(simm16=5)) # 6 consecutive global loads
for vdst, addr in INIT_TILE_LOADS[:6]: k.emit(global_load_b32(vdst=v[vdst], addr=v[addr:addr+1], saddr=NULL))
# Batch 2: A addresses (rows 0-4) and loads
for dst, ri in [(6,0), (8,1), (10,2), (12,3), (14,4)]:
k.emit(v_add_nc_u32_e32(v[dst], v[ROW_REGS[ri]], v[V_LANE_ID_MOD8]))
addr64(dst, S_A_PTR[0])
k.emit(s_clause(simm16=4)) # 5 consecutive global loads
for vdst, addr in INIT_TILE_LOADS[6:11]: k.emit(global_load_b32(vdst=v[vdst], addr=v[addr:addr+1], saddr=NULL))
# Batch 3: B cols 6-7, A rows 5-7, and loads
for dst, mult, tmp in [(2,6,15), (4,7,4)]: b_addr(dst, mult, tmp)
for dst, ri, tmp in [(8,5,16), (6,6,18), (10,7,20)]: a_addr(dst, ROW_REGS[ri], tmp)
k.emit(s_clause(simm16=4)) # 5 consecutive global loads
for vdst, addr in INIT_TILE_LOADS[11:]: k.emit(global_load_b32(vdst=v[vdst], addr=v[addr:addr+1], saddr=NULL))
# ===========================================================================
# LDS store address computation (bank-conflict-avoiding swizzle)
# ===========================================================================
# This section computes LDS store addresses with a swizzle pattern to avoid bank conflicts.
# Key outputs:
# v[8]: A-tile initial store base (used only for initial stores with stride64)
# V_LDS_B_ADDR (v145): B-tile store base (used for both initial and main loop)
# V_LANE_DIV8_X4 (v135): (lane_id >> 3) << 2 for epilogue
#
# The swizzle ensures that threads in the same wavefront write to different LDS banks.
# Formula: swizzled_addr = base + (lane_id & 7) * LDS_A_STRIDE + swizzle_offset
# where swizzle_offset depends on (lane_id >> 3) to distribute across banks.
# v[22] = tile_y | (lane_id >> 3) from prologue, used as base for row offsets
# Compute 7 row offsets for B-tile rows 1-7 (row 0 computed separately in v[9])
k.emit(v_add_nc_u32_e32(v[9], s[S_LOOP_CTR], v[22])) # row 0 base (S_LOOP_CTR=0)
for i in range(7): k.emit(v_or_b32_e32(v[10 + i if i < 2 else 12 + i], 16 * (i + 1), v[22])) # rows 1-7
# Extract sign bit of workgroup_x (always 0 for valid workgroups, used for masking)
k.emit(s_bfe_i32(s[S_LOOP_BOUND], s[S_WORKGROUP_X], 0x10018))
k.emit(v_and_b32_e32(v[9], ADDR_MASK, v[9]))
k.emit(s_lshr_b32(s[S_LOOP_BOUND], s[S_LOOP_BOUND], 25))
# Compute masked row offsets for bank conflict avoidance pattern
# Pattern: v[row] = row_val - (row_val & ADDR_MASK) extracts lower bits
k.emit(v_add_nc_u32_e32(v[19], s[S_LOOP_CTR], v[10]))
k.emit(v_add_nc_u32_e32(v[8], s[S_LOOP_BOUND], v[1])) # A-tile base computation
for d, r in zip([20, 21, 32, 33, 34, 35], [11, 14, 15, 16, 17, 18]):
k.emit(v_add_nc_u32_e32(v[d], s[S_LOOP_CTR], v[r]))
k.emit(v_and_b32_e32(v[8], ADDR_MASK, v[8]))
k.emit(v_sub_nc_u32_e32(v[9], v[22], v[9])) # row 0 swizzle offset
for d, s_ in zip([19, 20, 21, 22, 32, 33, 34], [20, 21, 22, 32, 33, 34, 35]):
k.emit(v_and_b32_e32(v[d], ADDR_MASK, v[s_]))
k.emit(v_sub_nc_u32_e32(v[8], v[1], v[8])) # A-tile swizzle
# Apply swizzle offsets and scale to byte offsets
k.emit(v_lshlrev_b32_e32(v[9], 2, v[9])) # row 0 offset * 4
for r, t in zip([10, 11, 14, 15, 16, 17, 18], [19, 20, 21, 22, 32, 33, 34]):
k.emit(v_sub_nc_u32_e32(v[r], v[r], v[t])) # rows 1-7 swizzle
k.emit(v_bfe_u32(v[2], v[0], 3, 2)) # v[2] = (lane_id >> 3) & 3
k.emit(v_lshlrev_b32_e32(v[8], 2, v[8])) # A-tile base * 4
# Compute B-tile base address: LDS_A_STRIDE * (lane_id % 8) + row0_offset
k.emit(v_mad_u32_u24(v[V_LDS_B_ADDR], LDS_A_STRIDE, v[V_LANE_ID_MOD8], v[9]))
# Scale row offsets 1-7 to byte offsets (row 0 already in v[9])
for d, r in zip([9, 10, 11, 14, 15, 16, 17], [10, 11, 14, 15, 16, 17, 18]):
k.emit(v_lshlrev_b32_e32(v[d], 2, v[r]))
k.emit(v_lshlrev_b32_e32(v[V_LANE_DIV8_X4], 2, v[2]))
k.emit(v_add_nc_u32_e32(v[8], 0x80, v[8])) # A-tile initial store base + 128
# Store initial tile data to LDS
k.waitcnt(vm=0)
for i, (d0, d1) in enumerate([(0,1), (2,3), (4,5), (11,12)]):
k.emit(ds_store_2addr_stride64_b32(addr=v[8], data0=v[INIT_TILE_LOADS[d0][0]], data1=v[INIT_TILE_LOADS[d1][0]], offset0=16+i*4, offset1=18+i*4))
# B stores: single base with offsets 0,64,128,192,256,320,384,448
for i, idx in enumerate([6,7,8,9,10,13,14,15]):
offset = i * 64
k.emit(ds_store_b32(addr=v[V_LDS_B_ADDR], data0=v[INIT_TILE_LOADS[idx][0]], offset0=offset & 0xFF, offset1=offset >> 8))
# ===========================================================================
# INIT: Compute LDS base addresses, then zero accumulators
# ===========================================================================
# v[3] = v[1] & 0x7F (lower 7 bits) since S_LOOP_BOUND=0 for valid workgroups
k.emit(v_lshlrev_b32_e32(v[2], 4, v[2]))
k.emit(v_add_nc_u32_e32(v[3], s[S_LOOP_BOUND], v[1]))
k.emit(v_and_b32_e32(v[3], ADDR_MASK, v[3]))
k.emit(v_sub_nc_u32_e32(v[3], v[1], v[3]))
k.emit(v_lshl_or_b32(v[V_LDS_B_BASE], v[V_LANE_ID_MOD8], 4, LDS_BASE_OFFSET))
k.emit(v_lshl_add_u32(v[V_LDS_A_ADDR], v[3], 2, LDS_BASE_OFFSET))
k.emit(v_lshlrev_b32_e32(v[3], 2, v[0]))
k.emit(v_and_or_b32(v[V_LDS_A_BASE], 0x180, v[3], v[2]))
# Zero all 128 accumulators using VOPD dual moves (64 instructions instead of 128)
for i in range(0, len(OUT_REGS), 2):
k.emit(VOPD(VOPDOp.V_DUAL_MOV_B32, VOPDOp.V_DUAL_MOV_B32, vdstx=v[OUT_REGS[i]], vdsty=v[OUT_REGS[i+1]], srcx0=0, srcy0=0))
k.emit(s_add_i32(s[S_LOOP_BOUND], s[S_DIM_N], -8))
k.emit(s_add_u32(s[S_A_PTR[0]], s[S_A_PTR[0]], 32))
k.emit(s_addc_u32(s[S_A_PTR[1]], s[S_A_PTR[1]], 0))
# S_LOOP_CTR is already 0 from prologue initialization
k.emit(s_branch(simm16=0)); k.branch_to('LOOP_ENTRY')
# ===========================================================================
# MAIN GEMM LOOP
# ===========================================================================
NO_ALU, NO_DS, NO_GLOBAL = getenv("NO_ALU", 0), getenv("NO_DS", 0), getenv("NO_GLOBAL", 0)
k.label('LOOP_INC')
k.emit(s_add_i32(s[S_LOOP_CTR], s[S_LOOP_CTR], 8))
k.emit(s_cmp_ge_i32(s[S_LOOP_CTR], s[S_DIM_N]))
k.emit(s_cbranch_scc1(simm16=0)); k.branch_to('EPILOGUE')
k.label('LOOP_ENTRY')
k.emit(s_cmp_lt_i32(s[S_LOOP_CTR], s[S_LOOP_BOUND]))
k.emit(s_cselect_b32(s[S_PREFETCH_FLAG], -1, 0)) # s_cselect doesn't modify SCC
k.emit(s_cbranch_scc0(simm16=0)); k.branch_to('SKIP_PREFETCH') # branch if loop_ctr >= loop_bound
if not NO_GLOBAL:
# Advance prefetch pointers (VGPR)
k.emit(v_add_nc_u32_e32(v[V_GLOBAL_B_ADDR], 0x20000, v[V_GLOBAL_B_ADDR]))
k.emit(v_add_nc_u32_e32(v[V_GLOBAL_A_ADDR], 0x20, v[V_GLOBAL_A_ADDR]))
"""
# Advance prefetch pointers (SGPRs, 64-bit adds)
k.emit(s_clause(simm16=31))
for i in range(8):
k.emit(s_add_u32(s[S_PREFETCH_B+i*2], s[S_PREFETCH_B+i*2], 0x20000))
k.emit(s_addc_u32(s[S_PREFETCH_B+i*2+1], s[S_PREFETCH_B+i*2+1], 0))
for i in range(8):
k.emit(s_add_u32(s[S_PREFETCH_A+i*2], s[S_PREFETCH_A+i*2], 0x20))
k.emit(s_addc_u32(s[S_PREFETCH_A+i*2+1], s[S_PREFETCH_A+i*2+1], 0))
"""
# do the fetch
for vdst, saddr_lo in INIT_PREFETCH:
k.emit(global_load_b32(vdst=v[vdst], addr=v[V_GLOBAL_B_ADDR], saddr=s[saddr_lo:saddr_lo+1]))
k.label('SKIP_PREFETCH')
# wait for local stores to finish (either initial or loop)
# then sync the warp so it's safe to load local
k.waitcnt(lgkm=0)
k.emit(s_barrier())
# Load initial tiles for iter=0 into buffer 0
if not NO_DS:
a_tile_regs = V_A_TILE_REGS[0]
b_tile_regs = V_B_TILE_REGS[0]
k.emit(s_clause(simm16=len(a_tile_regs) + len(b_tile_regs) - 1))
for i, vdst in enumerate(a_tile_regs):
a_off = (i & 1) * 8 + (i >> 1) * 64 # iter=0
k.emit(ds_load_b64(vdst=v[vdst:vdst+1], addr=v[V_LDS_A_BASE], offset0=a_off & 0xFF, offset1=a_off >> 8))
for i, vdst in enumerate(b_tile_regs):
b_off = (i & 1) * 8 + (i & 2) * 64 + (i >> 2) * 256 # iter=0
k.emit(ds_load_b64(vdst=v[vdst:vdst+1], addr=v[V_LDS_B_BASE], offset0=b_off & 0xFF, offset1=b_off >> 8))
# 8 inner loop iterations
# Double-buffered inner loop: load next iteration's tiles while computing current
# Buffer 0 used for even iterations, buffer 1 for odd iterations
for iter in range(8):
buf = iter & 1 # current compute buffer
next_buf = 1 - buf # next load buffer
# Load tiles for NEXT iteration into next_buf (except on last iteration)
if not NO_DS and iter < 7:
next_iter = iter + 1
a_tile_regs = V_A_TILE_REGS[next_buf]
b_tile_regs = V_B_TILE_REGS[next_buf]
k.emit(s_clause(simm16=len(a_tile_regs) + len(b_tile_regs) - 1)) # 12 loads total: 4 A + 8 B
# A tile: 4 ds_load_b64
for i, vdst in enumerate(a_tile_regs):
a_off = (i & 1) * 8 + (i >> 1) * 64 + next_iter * LDS_A_STRIDE
k.emit(ds_load_b64(vdst=v[vdst:vdst+1], addr=v[V_LDS_A_BASE], offset0=a_off & 0xFF, offset1=a_off >> 8))
# B tile: 8 ds_load_b64
for i, vdst in enumerate(b_tile_regs):
b_off = (i & 1) * 8 + (i & 2) * 64 + (i >> 2) * 256 + next_iter * LDS_B_STRIDE
k.emit(ds_load_b64(vdst=v[vdst:vdst+1], addr=v[V_LDS_B_BASE], offset0=b_off & 0xFF, offset1=b_off >> 8))
# Issue global prefetch (first 6 iterations only)
if iter < 6 and not NO_GLOBAL:
vdst1, vdst2, addr, slo1, slo2 = PREFETCH_LOADS[iter]
k.emit(global_load_b32(vdst=v[vdst1], addr=v[addr], saddr=s[slo1:slo1+1]))
k.emit(global_load_b32(vdst=v[vdst2], addr=v[addr], saddr=s[slo2:slo2+1]))
# Wait for current buffer's loads to complete
# iter 0-6: 12 loads for next iteration are in flight, wait for the other 12 (lgkm=12)
# iter 7: no loads in flight, wait for all (lgkm=0)
k.waitcnt(lgkm=0 if iter == 7 else 12)
# 64 dual FMACs using current buffer
if not NO_ALU:
fmac_pattern = FMAC_PATTERN[buf]
k.emit(s_clause(simm16=len(fmac_pattern)-1))
for i, (vdst_x, vdst_y, ax, bx, ay, by) in enumerate(fmac_pattern):
k.emit(VOPD(VOPDOp.V_DUAL_FMAC_F32, VOPDOp.V_DUAL_FMAC_F32,
vdstx=v[vdst_x], vdsty=v[vdst_y], srcx0=v[ax], vsrcx1=v[bx], srcy0=v[ay], vsrcy1=v[by]))
# wait for all global stores to finish
# then sync the warp so it's safe to store local
k.waitcnt(vm=0)
k.emit(s_barrier())
# Store prefetched data to LDS
# NOTE: Register naming reflects LDS tile organization, not source matrix:
# V_LDS_A_DATA (v155-162) holds data that goes to LDS A-tile region
# V_LDS_B_DATA (v163-170) holds data that goes to LDS B-tile region
# The data sources are swapped: A-tile receives B matrix rows, B-tile receives A matrix columns
if not NO_DS:
for i in range(4): # A tile: 8 values via 4 stride64 stores
k.emit(ds_store_2addr_stride64_b32(addr=v[V_LDS_A_ADDR], data0=v[V_LDS_A_DATA[i*2]], data1=v[V_LDS_A_DATA[i*2+1]], offset0=i*4, offset1=i*4+2))
for i in range(8): # B tile: 8 values via 8 scalar stores with 64-byte spacing
offset = i * 64
k.emit(ds_store_b32(addr=v[V_LDS_B_ADDR], data0=v[V_LDS_B_DATA[i]], offset0=offset & 0xFF, offset1=offset >> 8))
k.emit(s_branch(simm16=0)); k.branch_to('LOOP_INC')
# ===========================================================================
# EPILOGUE: Permute and store results
# ===========================================================================
k.label('EPILOGUE')
# Rearrange accumulators from FMAC layout to contiguous output order
for a, b in PERMUTE_SWAPS:
k.emit(v_swap_b32_e32(v[a], v[b]))
# Compute output coordinates: v[V_LANE_ID_MOD8] = col, v[V_OUTPUT_ROW] = row
k.emit(VOPD(VOPDOp.V_DUAL_MOV_B32, VOPDOp.V_DUAL_MOV_B32,
vdstx=v[149], vdsty=v[150], srcx0=v[V_LANE_MOD8_X4], vsrcx1=v[0], srcy0=v[V_LANE_DIV8_X4], vsrcy1=v[0]))
k.emit(v_and_b32_e32(v[0], 0x60, v[0]))
k.emit(v_or_b32_e32(v[V_LANE_ID_MOD8], s[S_TILE_X], v[149]))
k.emit(v_add_nc_u32_e32(v[0], s[S_TILE_Y], v[0]))
k.emit(v_or_b32_e32(v[V_OUTPUT_ROW], v[0], v[150]))
# Precompute row offsets: v[144-147] for rows 0-3, v[148-151] for rows 16-19
for base, row_off in [(144, 0), (148, 16)]:
if row_off: k.emit(v_or_b32_e32(v[1], row_off, v[V_OUTPUT_ROW]))
k.emit(v_mul_lo_u32(v[base], v[1] if row_off else v[V_OUTPUT_ROW], s[S_DIM_N]))
for i in range(3): k.emit(v_add_nc_u32_e32(v[base + 1 + i], s[S_DIM_N], v[base + i]))
k.emit(v_mov_b32_e32(v[V_ADDR_HI_ZERO], 0))
k.emit(s_lshl_b32(s[S_PREFETCH_FLAG], s[S_DIM_N], 2)) # row stride in bytes
# Store 128 output values as 32 groups of 4 (128-bit stores)
# Layout: 2 row halves (0-3, 16-19) x 4 col groups x 4 rows = 32 stores of 4 floats
epilogue_reserved = {V_LANE_ID_MOD8, V_OUTPUT_ROW, V_LANE_MOD8_X4, V_LANE_DIV8_X4, V_ADDR_HI_ZERO}
for i, (row_half, col_off, row_in_group) in enumerate([(rh, co, ri)
for rh in range(2) for co in [0, 32, 64, 96] for ri in range(4)]):
row = row_half * 16 + row_in_group
srcs = OUT_REGS[i*4:(i+1)*4]
# Find temp register for scaled values (must not conflict with reserved regs)
tmp = max(srcs) + 5
while any(r in epilogue_reserved for r in range(tmp, tmp + 4)): tmp += 1
# Copy values to temp regs for output (alpha=1.0 hardcoded, so just move)
for j, src in enumerate(srcs):
k.emit(v_mov_b32_e32(v[tmp + j], v[src]))
# Compute output address
if row_in_group == 0: # first row: compute base address for this column group
if col_off == 0: k.emit(v_mov_b32_e32(v[0], v[V_LANE_ID_MOD8]))
else: k.emit(v_add_nc_u32_e32(v[0], col_off, v[V_LANE_ID_MOD8]))
row_base = 144 + row if row < 4 else 148 + row - 16
k.emit(v_add_nc_u32_e32(v[0], v[row_base], v[0]))
k.emit(v_lshlrev_b32_e32(v[0], 2, v[0]))
k.emit(v_add_co_u32(v[0], VCC_LO, s[S_OUT_PTR[0]], v[0]))
k.emit(v_add_co_ci_u32_e32(v[1], s[S_OUT_PTR[1]], v[V_ADDR_HI_ZERO]))
else: # subsequent rows: just add stride
k.emit(v_add_co_u32(v[0], VCC_LO, s[S_PREFETCH_FLAG], v[0]))
k.emit(v_add_co_ci_u32_e32(v[1], v[1], v[V_ADDR_HI_ZERO]))
k.emit(global_store_b128(addr=v[0:1], data=v[tmp:tmp+3], saddr=NULL))
k.emit(s_sendmsg(simm16=3)) # DEALLOC_VGPRS
k.emit(s_endpgm())
return k.to_asm()
# =============================================================================
# Test harness
# =============================================================================
N = getenv("N", 4096)
BLOCK_M, BLOCK_N = 128, 128
THREADS = 128
def test_matmul():
dev = Device[Device.DEFAULT]
print(f"Device arch: {dev.arch}")
if getenv("STOCK", 0):
# Load the stock kernel from amd_seb/kernel8_batched_gmem.s
stock_path = Path(__file__).parent / "amd_seb" / "kernel8_batched_gmem.s"
asm = stock_path.read_text()
print(f"Loaded stock kernel from {stock_path}")
else:
asm = build_kernel(dev.arch)
binary = dev.compiler.compile(asm)
print(f"Compiled! Binary size: {len(binary)} bytes")
rng = np.random.default_rng(42)
a = Tensor(rng.random((N, N), dtype=np.float32) - 0.5)
b = Tensor(rng.random((N, N), dtype=np.float32) - 0.5)
c = Tensor.empty(N, N)
Tensor.realize(a, b, c)
grid, local = (N // BLOCK_N, N // BLOCK_M, 1), (THREADS, 1, 1)
print(f"Grid: {grid}, Local: {local}")
dname:str = Device.DEFAULT
def asm_kernel(A:UOp, B:UOp, C:UOp) -> UOp:
gidxs = [UOp.special(n, f"gidx{i}") for i,n in enumerate(grid)]
lidxs = [UOp.special(n, f"lidx{i}") for i,n in enumerate(local)]
sink = UOp.sink(A.base, B.base, C.base, *gidxs, *lidxs, arg=KernelInfo(name=colored("kernel", "cyan"),
estimates=Estimates(ops=N*N*N*2, mem=N*N*4*3)))
return UOp(Ops.PROGRAM, src=(sink, UOp(Ops.DEVICE, arg=dname), UOp(Ops.LINEAR, src=(*sink.src, sink)), UOp(Ops.SOURCE, arg=asm),
UOp(Ops.BINARY, arg=binary)))
c = Tensor.custom_kernel(a, b, c, fxn=asm_kernel)[2]
ei = c.schedule()[0].lower()
ets = []
with Context(DEBUG=2):
for _ in range(getenv("CNT", 5)): ets.append(ei.run(wait=True))
print(f"REAL TFLOPS {N * N * N * 2 / min(ets) * 1e-12:.2f}")
if getenv("VERIFY", 1):
GlobalCounters.reset()
with Context(DEBUG=2): tc = (a @ b).realize()
with Context(DEBUG=0): err = (c - tc).square().mean().item()
print(f"mean squared error {err}")
if err != err or err > 1e-06: raise RuntimeError("matmul is wrong!")
def run_sqtt():
"""Run with SQTT profiling and write trace files."""
import subprocess, os
# Run test_matmul in a subprocess with SQTT enabled from the start (no verify)
env = {**os.environ, "AMD": "1", "SQTT": "1", "CNT": "1", "PROFILE": "1", "PYTHONPATH": ".", "VERIFY": "0"}
result = subprocess.run(
["python", "-c", "from extra.gemm.amd_asm_matmul import test_matmul; test_matmul()"],
capture_output=True, text=True, env=env, timeout=120
)
print(result.stdout)
# Run roc.py to extract trace data
result = subprocess.run(
["python", "extra/sqtt/roc.py", "--profile", "/tmp/profile.pkl.tiny", "--kernel", "kernel"],
capture_output=True, text=True, env={**os.environ, "DEBUG": "5"}, timeout=60
)
output = result.stdout + result.stderr
# Write full output to trace file
with open("/tmp/sqtt_trace.txt", "w") as f:
f.write(output)
print(f"Wrote {len(output)} bytes to /tmp/sqtt_trace.txt")
if __name__ == "__main__":
if getenv("ASM", 0): print(build_kernel(Device[Device.DEFAULT].arch))
elif getenv("SQTT", 0): run_sqtt()
else: test_matmul()
+4 -4
View File
@@ -140,11 +140,11 @@ def hand_spec_kernel3():
return sink.sink(arg=KernelInfo(opts_to_apply=())).simplify()
def test_matmul(sink:UOp, N=N):
def test_matmul(sink:UOp, dtype=dtypes.float32, N=N):
rng = np.random.default_rng()
a = Tensor(rng.random((N, N), dtype=np.float32)-0.5)
b = Tensor(rng.random((N, N), dtype=np.float32)-0.5)
hc = Tensor.empty(N, N)
a = Tensor(rng.random((N, N), dtype=np.float32)-0.5, dtype=dtype)
b = Tensor(rng.random((N, N), dtype=np.float32)-0.5, dtype=dtype)
hc = Tensor.empty(N, N, dtype=dtype)
Tensor.realize(a, b, hc)
ei = ExecItem(sink, [t.uop.buffer for t in [hc, a, b]], prg=get_runner(Device.DEFAULT, sink))
@@ -1,9 +1,9 @@
// ** global buffers
s_load_dwordx2 s[28:29], s[0:1], 0x0 // C
s_load_dwordx4 s[32:35], s[0:1], 0x8 // A, B
s_load_dwordx2 s[34:35], s[0:1], 0x08 // A
s_load_dwordx2 s[32:33], s[0:1], 0x10 // B
// ** others kernel args
s_load_dword s24, s[0:1], 0x18 // N
s_load_dword s54, s[0:1], 0x1C // num work groups
s_waitcnt lgkmcnt(0)
// "info"
s_mov_b32 s51, 1 // gemm_info = 1
@@ -13,7 +13,7 @@ INSTRUCTIONS
# basic memory requirements
.amdhsa_group_segment_fixed_size 133120
.amdhsa_private_segment_fixed_size 0
.amdhsa_kernarg_size 32
.amdhsa_kernarg_size 28
# register usage (RSRC1)
.amdhsa_next_free_vgpr 504
.amdhsa_next_free_sgpr 96
@@ -61,15 +61,10 @@ amdhsa.kernels:
.size: 4
.value_kind: by_value
.value_type: u32
- .name: num_wg
.offset: 28
.size: 4
.value_kind: by_value
.value_type: u32
.group_segment_fixed_size: 133120
.private_segment_fixed_size: 0
.kernarg_segment_align: 8
.kernarg_segment_size: 32
.kernarg_segment_size: 28
.max_flat_workgroup_size: 256
.sgpr_count: 88
.sgpr_spill_count: 0
@@ -2,10 +2,8 @@
# VIZ=2 to profile
import pathlib
from tinygrad import Tensor, Device, dtypes, Context
from tinygrad.engine.realize import ExecItem, CompiledRunner
from tinygrad.renderer import ProgramSpec
from tinygrad.uop.ops import track_rewrites, UOp
from tinygrad.helpers import TracingKey, getenv
from tinygrad.uop.ops import UOp, Ops, KernelInfo
from tinygrad.helpers import getenv
fp = pathlib.Path(__file__).parent/"gemm.s"
@@ -23,8 +21,8 @@ import torch
torch.manual_seed(0)
A = (torch.randn(N, N, dtype=torch.float32, device="cpu") / scale).to(torch.bfloat16).contiguous()
B = (torch.randn(N, N, dtype=torch.float32, device="cpu") / scale).to(torch.bfloat16).contiguous()
Bt = B.t().contiguous() # transpose B for the baseline gemm
C_torch = A@Bt
Bt = B.t().contiguous() # transpose B for the asm gemm
C_torch = A@B
# ** copy buffers to AMD
@@ -33,31 +31,32 @@ C_torch = A@Bt
def from_torch(t:torch.Tensor) -> Tensor:
return Tensor.from_blob(t.data_ptr(), t.shape, dtype=dtypes.bfloat16, device="cpu").to(Device.DEFAULT).realize()
C_tiny = Tensor.matmul(from_torch(A), from_torch(Bt), dtype=dtypes.float32).cast(dtypes.bfloat16)
C_tiny = from_torch(A) @ from_torch(B)
C_asm = Tensor.empty_like(C_tiny)
C_asm.uop.buffer.allocate()
# ** assembly custom kernel
def custom_asm_gemm(C:UOp, A:UOp, B:UOp) -> UOp:
lidx = UOp.special(THREADS_PER_WG, "lidx0")
gidx = UOp.special(NUM_WG, "gidx0")
src = (pathlib.Path(__file__).parent/"template.s").read_text().replace("INSTRUCTIONS", fp.read_text())
sz = UOp.variable("SZ", 256, 8192)
sink = UOp.sink(C.base, A.base, B.base, sz, lidx, gidx, arg=KernelInfo(name="gemm"))
return UOp(Ops.PROGRAM, src=(sink, UOp(Ops.DEVICE, arg=Device.DEFAULT), UOp(Ops.LINEAR, src=(*sink.src, sink)), UOp(Ops.SOURCE, arg=src)))
C_asm = Tensor.custom_kernel(C_asm, from_torch(A), from_torch(Bt), fxn=custom_asm_gemm)[0]
# ** run gemms
# baseline tinygrad
sched = C_tiny.schedule()
assert len(sched) == 1
eis:list[ExecItem] = [sched[-1].lower()]
ast = sched[-1].ast
# assembly gemm
@track_rewrites(name=lambda ret: TracingKey(ret.name, (ret.function_name,), ret))
def get_asm_prg() -> ProgramSpec:
src = (pathlib.Path(__file__).parent/"template.s").read_text().replace("INSTRUCTIONS", fp.read_text())
lib = Device[Device.DEFAULT].compiler.compile(src)
return ProgramSpec("gemm", src, Device.DEFAULT, ast, lib=lib, global_size=[NUM_WG, 1, 1], local_size=[THREADS_PER_WG, 1, 1],
globals=[0, 1, 2], vars=[UOp.variable("SZ", 256, 8192), UOp.variable("NUM_WG", 1, 1024)])
eis.append(ExecItem(ast, [C_asm.uop.buffer, from_torch(B).uop.buffer, from_torch(A).uop.buffer], fixedvars={"SZ":N, "NUM_WG":NUM_WG},
prg=CompiledRunner(get_asm_prg())))
sched = Tensor.schedule(C_tiny, C_asm)
eis = [si.lower() for si in sched]
with Context(DEBUG=2):
for ei in eis:
et = ei.run(wait=True)
et = ei.run({"SZ":N}, wait=True)
print(f"{(N*N*N*2 / et)*1e-12:.2f} REAL TFLOPS")
# ** correctness
File diff suppressed because it is too large Load Diff
+76
View File
@@ -0,0 +1,76 @@
.text
.section .text.
.global gemm
.p2align 8
.type gemm,@function
gemm:
INSTRUCTIONS
.section .rodata,"a",@progbits
.p2align 6, 0x0
.amdhsa_kernel gemm
# basic memory requirements
.amdhsa_group_segment_fixed_size 30336
.amdhsa_private_segment_fixed_size 0
.amdhsa_kernarg_size 32
# register usage (RSRC1)
.amdhsa_next_free_vgpr 256
.amdhsa_next_free_sgpr 100
# workgroup / workitem IDs (RSRC2)
.amdhsa_system_sgpr_workgroup_id_x 1
.amdhsa_system_sgpr_workgroup_id_y 1
.amdhsa_system_sgpr_workgroup_id_z 1
# user SGPRs: kernarg ptr in s[0:1]
.amdhsa_user_sgpr_kernarg_segment_ptr 1
.amdhsa_user_sgpr_count 2
# gfx10+ / gfx11 specifics (RSRC1[29..31])
.amdhsa_wavefront_size32 1
.amdhsa_workgroup_processor_mode 1
.amdhsa_memory_ordered 1
.amdhsa_forward_progress 1
# misc for gfx11
.amdhsa_dx10_clamp 1
.amdhsa_ieee_mode 1
.amdhsa_uses_dynamic_stack 0
.end_amdhsa_kernel
.amdgpu_metadata
---
amdhsa.kernels:
- .args:
- .address_space: generic
.name: C
.offset: 0
.size: 8
.value_kind: global_buffer
.value_type: f16
- .address_space: generic
.name: A
.offset: 8
.size: 8
.value_kind: global_buffer
.value_type: f16
- .address_space: generic
.name: B
.offset: 16
.size: 8
.value_kind: global_buffer
.value_type: f16
.group_segment_fixed_size: 30336
.kernarg_segment_align: 8
.kernarg_segment_size: 32
.max_flat_workgroup_size: 128
.name: gemm
.private_segment_fixed_size: 0
.sgpr_count: 70
.sgpr_spill_count: 0
.symbol: gemm.kd
.vgpr_count: 256
.vgpr_spill_count: 0
.wavefront_size: 32
amdhsa.version:
- 1
- 1
...
.end_amdgpu_metadata
+30
View File
@@ -0,0 +1,30 @@
import math, pathlib
from tinygrad import Device, dtypes
from tinygrad.uop.ops import UOp, Ops, KernelInfo
from extra.gemm.amd_uop_matmul import test_matmul
N = 4096
TN = 96
THREADS_PER_WG = 128
NUM_WG = math.ceil(N / TN) * math.ceil(N / TN)
dname:str = Device.DEFAULT
template:str = (pathlib.Path(__file__).parent/"template.s").read_text()
def asm_kernel() -> UOp:
lidx = UOp.special(THREADS_PER_WG, "lidx0")
gidx = UOp.special(NUM_WG, "gidx0")
a = UOp.placeholder((N*N,), dtypes.half, slot=1)
b = UOp.placeholder((N*N,), dtypes.half, slot=2)
c = UOp.placeholder((N*N,), dtypes.half, slot=0)
src = template.replace("INSTRUCTIONS", (pathlib.Path(__file__).parent/"gemm.s").read_text())
sink = UOp.sink(a, b, c, lidx, gidx, arg=KernelInfo(name="gemm"))
return UOp(Ops.PROGRAM, src=(sink, UOp(Ops.DEVICE, arg=dname), UOp(Ops.LINEAR, src=(*sink.src, sink)), UOp(Ops.SOURCE, arg=src)))
if __name__ == "__main__":
test_matmul(asm_kernel(), dtype=dtypes.half, N=N)
+5 -5
View File
@@ -1,12 +1,12 @@
# unpack the complete kernel descriptor of an amdgpu ELF of for gfx950
# unpack the complete kernel descriptor of an amdgpu ELF
# https://rocm.docs.amd.com/projects/llvm-project/en/latest/LLVM/llvm/html/AMDGPUUsage.html#code-object-v3-kernel-descriptor
import struct, pathlib
import struct, pathlib, sys
from tinygrad.runtime.support.elf import elf_loader
def bits(x, lo, hi): return (x >> lo) & ((1 << (hi - lo + 1)) - 1)
def assert_zero(x, lo, hi): assert bits(x, lo, hi) == 0
with open(fp:=pathlib.Path(__file__).parent/"lib", "rb") as f:
with open(sys.argv[1], "rb") as f:
lib = f.read()
image, sections, relocs = elf_loader(lib)
@@ -49,7 +49,7 @@ print("COMPUTE_PGM_RSRC3: 0x%08x" % pgm_rsrc3)
print("COMPUTE_PGM_RSRC1: 0x%08x" % pgm_rsrc1)
print("COMPUTE_PGM_RSRC2: 0x%08x" % pgm_rsrc2)
# rsrc 3
# rsrc 3 (gfx950)
accum_offset_raw = bits(pgm_rsrc3, 0, 5)
assert_zero(pgm_rsrc3, 6, 15)
@@ -169,10 +169,10 @@ assert_zero(desc, 458, 459)
uses_dynamic_stack = bits(desc, 459, 460)
print("DESC.USES_DYNAMIC_STACK:", uses_dynamic_stack)
# gfx950 only
assert_zero(desc, 460, 463)
kernarg_preload_spec_length = bits(desc, 464, 470)
print("DESC.KERNARG_PRELOAD_SPEC_LENGTH:", kernarg_preload_spec_length)
kernarg_preload_spec_offset = bits(desc, 471, 479)
print("DESC.KERNARG_PRELOAD_SPEC_OFFSET:", kernarg_preload_spec_offset)
+47 -30
View File
@@ -1,8 +1,42 @@
import argparse, os, hashlib
from tinygrad.helpers import getenv, DEBUG, round_up, Timing, tqdm, fetch
import argparse, os, hashlib, functools
from typing import Iterator, Callable
from tinygrad.helpers import getenv, DEBUG, round_up, Timing, tqdm, fetch, ceildiv
from extra.hevc.hevc import parse_hevc_file_headers, untile_nv12, to_bgr, nv_gpu
from tinygrad import Tensor, dtypes, Device, Variable, TinyJit
# rounds up hevc input data to 32 bytes, so more optimal kernels can be generated
HEVC_ROUNDUP = getenv("DATA_ROUNDUP", 32)
@functools.cache
def _hevc_jitted_decoder(out_image_size:tuple[int, int], max_hist:int, inplace:bool):
def hevc_decode_frame(pos:Variable, hevc_tensor:Tensor, offset:Variable, sz:Variable, opaque:Tensor, i:Variable, *hist:Tensor, outbuf:Tensor|None=None):
x = hevc_tensor[offset:offset+sz*HEVC_ROUNDUP].decode_hevc_frame(pos, out_image_size, opaque[i], hist)
if outbuf is not None: outbuf.assign(x).realize()
return x.realize()
return TinyJit(hevc_decode_frame)
def hevc_decode(hevc_tensor:Tensor, opaque:Tensor, frame_info:list, luma_h:int, luma_w:int,
history:list[Tensor]|None=None, preallocated_outputs:list[Tensor]|None=None, warmup=False) -> Iterator[Tensor]:
out_image_size = luma_h + (luma_h + 1) // 2, round_up(luma_w, 64)
max_hist = max((hs for _, _, _, hs, _ in frame_info), default=0)
v_pos = Variable("pos", 0, max_hist + 1)
v_offset = Variable("offset", 0, hevc_tensor.numel()-1)
v_sz = Variable("sz", 1, ceildiv(hevc_tensor.numel(), HEVC_ROUNDUP))
v_i = Variable("i", 0, len(frame_info)-1)
decode_jit = _hevc_jitted_decoder(out_image_size, max_hist, preallocated_outputs is not None)
history = history or [Tensor.empty(*out_image_size, dtype=dtypes.uint8, device="NV").contiguous().realize() for _ in range(max_hist)]
assert len(history) == max_hist, f"history length {len(history)} does not match max_hist {max_hist}"
for i, (offset, sz, frame_pos, _, is_hist) in enumerate(frame_info):
history = history[-max_hist:] if max_hist > 0 else []
img = decode_jit(v_pos.bind(frame_pos), hevc_tensor, v_offset.bind(offset), v_sz.bind(ceildiv(sz, HEVC_ROUNDUP)),
opaque, v_i.bind(i), *history, outbuf=preallocated_outputs[i] if preallocated_outputs else None)
res = preallocated_outputs[i] if preallocated_outputs else img.clone().realize()
if is_hist: history.append(res)
yield res
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--input_file", type=str, default="")
@@ -19,49 +53,32 @@ if __name__ == "__main__":
dat_hash = hashlib.md5(dat).hexdigest()
with Timing("prep infos: "):
dat_nv = hevc_tensor.to("NV")
opaque, frame_info, w, h, luma_w, luma_h, chroma_off = parse_hevc_file_headers(dat)
frame_info = frame_info[:getenv("MAX_FRAMES", len(frame_info))]
# move all needed data to gpu
#all_slices = []
with Timing("copy to gpu: "):
opaque_nv = opaque.to("NV").contiguous().realize()
hevc_tensor = hevc_tensor.to("NV")
out_image_size = luma_h + (luma_h + 1) // 2, round_up(luma_w, 64)
max_hist = max(history_sz for _, _, _, history_sz, _ in frame_info)
# define variables
v_pos = Variable("pos", 0, max_hist + 1)
v_offset = Variable("offset", 0, hevc_tensor.numel()-1)
v_sz = Variable("sz", 0, hevc_tensor.numel())
v_i = Variable("i", 0, len(frame_info)-1)
# preallocate output/hist buffers
max_hist = max((hs for _, _, _, hs, _ in frame_info), default=0)
hist = [Tensor.empty(*out_image_size, dtype=dtypes.uint8, device="NV").contiguous().realize() for _ in range(max_hist)]
out_images = [Tensor.zeros(*out_image_size, dtype=dtypes.uint8, device="NV").contiguous().realize() for _ in range(len(frame_info))]
@TinyJit
def decode_jit(pos:Variable, src:Tensor, data:Tensor, *hist:Tensor):
return src.decode_hevc_frame(pos, out_image_size, data, hist).realize()
# warmup decode
_ = list(hevc_decode(hevc_tensor, opaque_nv, frame_info[:3], luma_h, luma_w, history=hist, preallocated_outputs=out_images))
Device.default.synchronize()
# warm up
history = [Tensor.empty(*out_image_size, dtype=dtypes.uint8, device="NV") for _ in range(max_hist)]
for i in range(3):
hevc_frame = hevc_tensor.shrink((((bound_offset:=v_offset.bind(frame_info[0][0])), bound_offset+v_sz.bind(frame_info[0][1])),))
decode_jit(v_pos.bind(0), hevc_frame, opaque_nv[v_i.bind(0)], *history)
out_images = []
# decode all frames using the iterator
with Timing("decoding whole file: ", on_exit=(lambda et: f", {len(frame_info)} frames, {len(frame_info)/(et/1e9):.2f} fps")):
for i, (offset, sz, frame_pos, history_sz, is_hist) in enumerate(frame_info):
history = history[-max_hist:] if max_hist > 0 else []
# TODO: this shrink should work as a slice
hevc_frame = hevc_tensor.shrink((((bound_offset:=v_offset.bind(offset)), bound_offset+v_sz.bind(sz)),))
outimg = decode_jit(v_pos.bind(frame_pos), hevc_frame, opaque_nv[v_i.bind(i)], *history).clone()
out_images.append(outimg)
if is_hist: history.append(outimg)
images = list(hevc_decode(hevc_tensor, opaque_nv, frame_info, luma_h, luma_w, history=hist, preallocated_outputs=out_images))
Device.default.synchronize()
# validation
if getenv("VALIDATE", 0):
import pickle
if dat_hash == "b813bfdbec194fd17fdf0e3ceb8cea1c":
@@ -70,7 +87,7 @@ if __name__ == "__main__":
else: decoded_frames = pickle.load(open(f"extra/hevc/decoded_frames_{dat_hash}.pkl", "rb"))
else: import cv2
for i, img in tqdm(enumerate(out_images)):
for i, img in tqdm(enumerate(images)):
if getenv("VALIDATE", 0):
if i < len(decoded_frames) and len(decoded_frames[i]) > 0:
img = untile_nv12(img, h, w, luma_w, chroma_off).realize()
+17
View File
@@ -46,6 +46,22 @@ def install_hook(c_function, python_function):
# *** ioctl lib end ***
import tinygrad.runtime.autogen.kfd as kfd_ioctl
import tinygrad.runtime.autogen.hsa as hsa
def print_aql_queue(read_pointer_address):
rptr_offset = getattr(hsa.amd_queue_v2_t, 'read_dispatch_id').offset
queue_base = read_pointer_address - rptr_offset
queue = hsa.amd_queue_v2_t.from_address(queue_base)
print(f" AQL Queue @ 0x{queue_base:X}:")
for field_name, field_type in hsa.amd_queue_v2_t._fields_:
val = getattr(queue, field_name)
if isinstance(val, int): print(f" {field_name}: 0x{val:X}")
elif hasattr(val, '_length_'):
arr_vals = [f"{format_struct(v)}" if hasattr(v, '_fields_') else f"{v:#X}" for v in val]
print(f" {field_name}: [{', '.join(arr_vals)}]")
elif hasattr(val, '_fields_'): print(f" {field_name}: {format_struct(val)}")
else: print(f" {field_name}: {val}")
def ioctls_from_header():
hdr = (pathlib.Path(__file__).parent / "kfd_ioctl.h").read_text().replace("\\\n", "")
pattern = r'#define\s+(AMDKFD_IOC_[A-Z0-9_]+)\s+AMDKFD_IOW?R?\((0x[0-9a-fA-F]+),\s+struct\s([A-Za-z0-9_]+)\)'
@@ -67,6 +83,7 @@ def ioctl(fd, request, argp):
if name == "AMDKFD_IOC_SVM":
out = ctypes.cast(s.attrs, ctypes.POINTER(kfd_ioctl.struct_kfd_ioctl_svm_attribute))
for i in range(s.nattr): print(f"{i}: {kfd_ioctl.enum_kfd_ioctl_svm_attr_type.get(out[i].type):40s}: {out[i].value:#x}")
if name == "AMDKFD_IOC_CREATE_QUEUE" and s.queue_type == kfd_ioctl.KFD_IOC_QUEUE_TYPE_COMPUTE_AQL: print_aql_queue(s.read_pointer_address)
else:
print(f"{(st-start)*1000:7.2f} ms +{et*1000.:7.2f} ms : ioctl",
f"{idir=} {size=} {itype=} {nr=} {fd=} {ret=}", os.readlink(f"/proc/self/fd/{fd}") if fd >= 0 else "")
+1 -1
View File
@@ -129,7 +129,7 @@ class LSTM:
return self.do_step(x_, hc_)
if hc is None:
hc = Tensor.zeros(self.layers, 2 * x.shape[1], self.hidden_size, requires_grad=False)
hc = Tensor.zeros(self.layers, 2 * x.shape[1], self.hidden_size, requires_grad=False).contiguous().realize()
output = None
for t in range(x.shape[0]):
+28 -2
View File
@@ -1,9 +1,13 @@
import unittest
import numpy as np
from tinygrad.helpers import BEAM, Timing, CI, Context
from tinygrad import Variable, Tensor
from tinygrad.helpers import BEAM, Timing, CI, prod
from tinygrad import Variable, Device, Tensor
from tinygrad.nn import Conv2d
from tinygrad.uop.ops import AxisType
from tinygrad.codegen.opt import Opt, OptOps
from tinygrad.codegen.opt.postrange import Scheduler
from tinygrad.codegen.opt.search import get_kernel_actions
def rand(*shape):
return Tensor(np.random.rand(*shape).astype(np.float32))
@@ -75,5 +79,27 @@ class TestBeamSearch(unittest.TestCase):
a = (a + a) * a
a.realize()
@unittest.skipUnless(Device[Device.DEFAULT].renderer.tensor_cores, "test requires tensor cores")
def test_tc_up(self):
tc = Device[Device.DEFAULT].renderer.tensor_cores[0]
size = max(tc.dims[0], tc.dims[1]) * 8
a, b = Tensor.rand(size, size, dtype=tc.dtype_in), Tensor.rand(size, size, dtype=tc.dtype_in)
ast = a.matmul(b, dtype=tc.dtype_out).schedule()[-1].ast
s = Scheduler(ast, Device[Device.DEFAULT].renderer)
s.apply_opt(Opt(OptOps.TC, 0, (-1, 0, 1)))
up = prod([x for x, t in zip(s.full_shape, s.axis_types) if t in (AxisType.UPCAST, AxisType.UNROLL)])
actions = get_kernel_actions(s, include_0=False, max_up=int(up))
upcasted = [s for s in actions.values() if any(opt.op in (OptOps.UPCAST, OptOps.UNROLL) for opt in s.applied_opts)]
assert len(upcasted) > 0, f"expected upcast/unroll actions after TC with max_up={up}, but got none"
def test_max_up(self):
a = Tensor.rand(16, 16)
ast = a.schedule()[-1].ast
s = Scheduler(ast, Device[Device.DEFAULT].renderer)
for max_up in (2, 4):
actions = get_kernel_actions(s, include_0=False, max_up=max_up)
for up_opts in [s.applied_opts for s in actions.values() if any(opt.op in (OptOps.UPCAST, OptOps.UNROLL) for opt in s.applied_opts)]:
assert len([opt for opt in up_opts if opt.arg > max_up]) == 0 and len([op for op in up_opts if op.arg <= max_up]) > 0
if __name__ == '__main__':
unittest.main()
+8 -14
View File
@@ -3,21 +3,18 @@
import numpy as np
import unittest
import subprocess, struct, math, textwrap
from tinygrad import Tensor, dtypes, Device, UOp
from tinygrad.uop.ops import Ops
import subprocess, struct, math, functools
from tinygrad import Tensor, dtypes, Device
from tinygrad.helpers import getenv
from tinygrad.runtime.support.compiler_amd import amdgpu_disassemble
from tinygrad.renderer import ProgramSpec
from tinygrad.engine.realize import CompiledRunner
from extra.assembly.amd.autogen.rdna3.ins import *
from extra.assembly.amd.asm import waitcnt
from test.testextra.test_cfg_viz import template
from test.testextra.test_cfg_viz import asm_kernel
def get_output(asm:list, n_threads:int=1, vdst:VGPR=v[1]):
out = Tensor([0]*n_threads, dtype=dtypes.uint32).realize()
src = "\n".join(inst.disasm() for inst in [
insts = [
s_load_b64(s[0:1], s[0:1], NULL),
*asm,
v_lshlrev_b32_e32(v[0], 2, v[0]),
@@ -25,12 +22,9 @@ def get_output(asm:list, n_threads:int=1, vdst:VGPR=v[1]):
#global_store_b32(v[0], v[1], s[0:1]),
global_store_b32(addr=v[0], data=vdst, saddr=s[0:1]),
s_endpgm()
])
prg = ProgramSpec("test", template.replace("fn_name", "test").replace("INSTRUCTION", textwrap.dedent(src)), Device.DEFAULT, UOp(Ops.SINK),
global_size=[1, 1, 1], local_size=[n_threads, 1, 1], globals=[0])
car = CompiledRunner(prg)
if getenv("PRINT_ASM"): amdgpu_disassemble(car.lib)
car([out.uop.buffer], {}, wait=True)
]
out = Tensor.custom_kernel(out, fxn=functools.partial(asm_kernel, name="test", insts=insts, device=out.device, n_threads=n_threads))[0]
out.realize()
return out.tolist()
def f16_to_bits(x:float) -> int: return struct.unpack('<H', struct.pack('<e', x))[0]
+1 -1
View File
@@ -8,7 +8,7 @@ SQTT is implemented on top of normal tinygrad profiling, `VIZ=1 SQTT=1` to get p
`SQTT_ITRACE_SE_MASK=X` to select for which shader engines instruction tracing will be enabled, -1 is all, 0 is none (instruction tracing disabled), >0 is
bitfield/mask for SEs to enable instruction tracing on. Masking shader engines will give smaller file sizes at a cost of less hits and kernels that
don't have any wavefront on first simd of shdaer engine with instruction tracing enabled will not have instruction timings.
don't have any wavefront on first simd of shader engine with instruction tracing enabled will not have instruction timings.
The default is 2 (second shader engine only), only one for file size reasons, second instead of first because dispatch starts from it so there is
greater chance that kernels with small global size will have instruction tracing data.
+1 -1
View File
@@ -145,7 +145,7 @@ OPNAME = {
ALUSRC = {
1: "SALU",
2: "VALU",
3: "VALU_ALT",
3: "VALU_SALU",
}
MEMSRC = {
+1 -1
View File
@@ -275,7 +275,7 @@ class RGP:
),
shader_engine_index=sqtt_event.se,
sqtt_version={11: sqtt.SQTT_VERSION_3_2, 12: sqtt.SQTT_VERSION_3_3}.get(gfx_ver),
v1=sqtt.struct_sqtt_file_chunk_sqtt_desc_0_v1(
v1=sqtt.struct_sqtt_file_chunk_sqtt_desc_v1(
instrumentation_spec_version=1,
instrumentation_api_version=0,
compute_unit_index=0,
+7 -4
View File
@@ -22,9 +22,7 @@ class WaveSlot:
@property
def cu_loc(self) -> str: return f"SE:{self.se} CU:{self.cu}"
@property
def simd_loc(self) -> str: return f"{self.cu_loc} SIMD:{self.simd}"
@property
def wave_loc(self) -> str: return f"{self.simd_loc} W:{self.wave_id}"
def wave_loc(self) -> str: return f"{self.cu_loc} SIMD:{self.simd} W:{self.wave_id}"
@dataclasses.dataclass(frozen=True)
class WaveExec(WaveSlot):
@@ -113,12 +111,17 @@ def decode(sqtt_evs:list[ProfileSQTTEvent], disasms:dict[str, dict[int, tuple[st
return rocprof.ROCPROFILER_THREAD_TRACE_DECODER_STATUS_SUCCESS
exc:Exception|None = None
def worker():
nonlocal exc
try: rocprof.rocprof_trace_decoder_parse_data(copy_cb, trace_cb, isa_cb, None)
except AttributeError as e:
raise RuntimeError("Failed to find rocprof-trace-decoder. Run sudo ./extra/sqtt/install_sqtt_decoder.py to install") from e
exc = RuntimeError("Failed to find rocprof-trace-decoder. Run sudo ./extra/sqtt/install_sqtt_decoder.py to install")
exc.__cause__ = e
(t:=threading.Thread(target=worker, daemon=True)).start()
t.join()
if exc is not None:
raise exc
return ROCParseCtx
def print_data(data:dict) -> None:
+120 -34
View File
@@ -11,6 +11,15 @@ NUM_WORKERS = 1
Q_BLOCK_SIZE = 16
KV_BLOCK_SIZE = 16
def _sharded_empty(shape:Tensor, ref:Tensor, axis:int|None) -> Tensor:
if not isinstance(ref.device, tuple): return Tensor.empty(*shape, device=ref.device)
shape = tuple(s // len(ref.device) if i == ref.uop.axis else s for i, s in enumerate(shape))
axis = ref.uop.axis if axis is None else axis
return Tensor(Tensor.empty(*shape, device=ref.device).uop.multi(axis), device=ref.device)
def _sharded_empty_like(ref:Tensor, axis:int|None=None) -> Tensor:
return _sharded_empty(ref.shape, ref, axis)
def flash_attention(xq, xk, xv, attn_mask:Tensor|None=None, is_causal:bool=False):
if len(xq.shape) == 3: xq, xk, xv = xq.unsqueeze(0), xk.unsqueeze(0), xv.unsqueeze(0)
@@ -45,7 +54,6 @@ def flash_attention(xq, xk, xv, attn_mask:Tensor|None=None, is_causal:bool=False
k_smem = ker.st((KV_BLOCK_SIZE, D), dtypes.bfloat16)
v_smem = ker.st((KV_BLOCK_SIZE, D), dtypes.bfloat16)
q_reg_fl = ker.rt((Q_BLOCK_SIZE, D), dtypes.float32)
q_reg = ker.rt((Q_BLOCK_SIZE, D), dtypes.bfloat16)
q_reg_transposed = ker.rt((D, Q_BLOCK_SIZE), dtypes.bfloat16, TileLayout.COL)
k_reg = ker.rt((KV_BLOCK_SIZE, D), dtypes.bfloat16)
@@ -69,9 +77,7 @@ def flash_attention(xq, xk, xv, attn_mask:Tensor|None=None, is_causal:bool=False
scale_vec = warp.ones(scale_vec)
# load q tile
q_reg_fl = warp.load(q_reg_fl, q, (), (batch, q_seq, head, 0), axis=1)
q_reg_fl *= (1.0 / math.sqrt(D)) * (1.0 / math.log(2))
q_reg = warp.copy(q_reg, q_reg_fl)
q_reg = warp.load(q_reg, q, (), (batch, q_seq, head, 0), axis=1)
q_reg_transposed = warp.transpose(q_reg_transposed, q_reg)
for kv_idx in ker.range(N // KV_BLOCK_SIZE):
@@ -85,6 +91,7 @@ def flash_attention(xq, xk, xv, attn_mask:Tensor|None=None, is_causal:bool=False
att_block = warp.zero(att_block.after(kv_idx))
k_reg_transposed = warp.transpose(k_reg_transposed, k_reg)
att_block = warp.mma_AtB(att_block, k_reg_transposed, q_reg_transposed)
att_block *= (1.0 / math.sqrt(D)) * (1.0 / math.log(2))
# apply attention mask
mask_reg = warp.load(mask_reg, mask, (), (batch, 0, q_seq, kv_idx), axis=2)
@@ -217,11 +224,11 @@ def flash_attention(xq, xk, xv, attn_mask:Tensor|None=None, is_causal:bool=False
return ker.finish()
def custom_backward_kv(dku:UOp, dvu:UOp, dou:UOp, qu:UOp, ku:UOp, vu:UOp, masku:UOp, l_vecu:UOp, delta_vecu:UOp) -> UOp:
with Kernel("fa_custom_backward_kv", (H_KV, N // (KV_BLOCK_SIZE*NUM_WORKERS), B), NUM_WORKERS * WARP_THREADS) as ker:
def custom_backward_k(dku:UOp, dou:UOp, qu:UOp, ku:UOp, vu:UOp, masku:UOp, l_vecu:UOp, delta_vecu:UOp) -> UOp:
with Kernel("fa_custom_backward_k", (H_KV, N // (KV_BLOCK_SIZE*NUM_WORKERS), B), NUM_WORKERS * WARP_THREADS) as ker:
warp = ker.warp
dk, dv, do, q, k, v, mask = GL(dku, ker), GL(dvu, ker), GL(dou, ker), GL(qu, ker), GL(ku, ker), GL(vu, ker), GL(masku, ker)
dk, do, q, k, v, mask = GL(dku, ker), GL(dou, ker), GL(qu, ker), GL(ku, ker), GL(vu, ker), GL(masku, ker)
l_vec, delta_vec = GL(l_vecu, ker), GL(delta_vecu, ker)
head_kv = ker.blockIdx_x
@@ -242,7 +249,6 @@ def flash_attention(xq, xk, xv, attn_mask:Tensor|None=None, is_causal:bool=False
mask_reg_transposed = ker.rt((KV_BLOCK_SIZE, Q_BLOCK_SIZE), dtypes.float32, TileLayout.COL)
dk_reg = ker.rt((KV_BLOCK_SIZE, D), dtypes.float32, TileLayout.COL)
dv_reg = ker.rt((KV_BLOCK_SIZE, D), dtypes.float32, TileLayout.COL)
do_reg = ker.rt((Q_BLOCK_SIZE, D), dtypes.bfloat16)
do_reg_col = ker.rt((Q_BLOCK_SIZE, D), dtypes.bfloat16, TileLayout.COL)
@@ -256,7 +262,6 @@ def flash_attention(xq, xk, xv, attn_mask:Tensor|None=None, is_causal:bool=False
delta_vec_reg = ker.rv(Q_BLOCK_SIZE, dtypes.float32)
dk_reg = warp.zero(dk_reg)
dv_reg = warp.zero(dv_reg)
# load kv tile
k_reg = warp.load(k_reg, k, (), (batch, kv_seq, head_kv, 0), axis=1)
@@ -295,13 +300,7 @@ def flash_attention(xq, xk, xv, attn_mask:Tensor|None=None, is_causal:bool=False
att_block -= l_vec_reg
att_block = att_block.exp2()
att_block_mma = warp.copy(att_block_mma, att_block)
att_block_transposed = warp.transpose(att_block_transposed, att_block_mma)
att_smem = warp.store(att_smem, att_block_transposed)
att_block_row = warp.load(att_block_row, att_smem)
dv_reg_ = warp.mma_AB(dv_reg, att_block_row, do_reg_col)
dp_block = warp.zero(dp_block.after(g, q_idx, dv_reg_))
dp_block = warp.zero(dp_block.after(g, q_idx))
dp_block = warp.mma_ABt(dp_block, v_reg, do_reg)
dp_block -= delta_vec_reg
att_block *= dp_block
@@ -312,41 +311,128 @@ def flash_attention(xq, xk, xv, attn_mask:Tensor|None=None, is_causal:bool=False
att_block_row = warp.load(att_block_row, att_smem)
dk_reg = warp.mma_AB(dk_reg, att_block_row, q_reg_col)
dk_reg = ker.endrange(2)
dv_reg = dv_reg.after(dk_reg)
dk_reg *= 1.0 / math.sqrt(D)
dk = warp.store(dk, dk_reg, (batch, kv_seq, head_kv, 0), axis=1)
return ker.finish()
def custom_backward_v(dvu:UOp, dou:UOp, qu:UOp, ku:UOp, vu:UOp, masku:UOp, l_vecu:UOp) -> UOp:
with Kernel("fa_custom_backward_v", (H_KV, N // (KV_BLOCK_SIZE*NUM_WORKERS), B), NUM_WORKERS * WARP_THREADS) as ker:
warp = ker.warp
dv, do, q, k, v, mask = GL(dvu, ker), GL(dou, ker), GL(qu, ker), GL(ku, ker), GL(vu, ker), GL(masku, ker)
l_vec = GL(l_vecu, ker)
head_kv = ker.blockIdx_x
batch = ker.blockIdx_z
kv_seq = ker.blockIdx_y * NUM_WORKERS + ker.warpid
q_smem = ker.st((Q_BLOCK_SIZE, D), dtypes.bfloat16)
do_smem = ker.st((Q_BLOCK_SIZE, D), dtypes.bfloat16)
att_smem = ker.st((Q_BLOCK_SIZE, KV_BLOCK_SIZE), dtypes.bfloat16)
q_reg = ker.rt((Q_BLOCK_SIZE, D), dtypes.bfloat16)
q_reg_t = ker.rt((D, Q_BLOCK_SIZE), dtypes.bfloat16, TileLayout.COL)
q_reg_col = ker.rt((Q_BLOCK_SIZE, D), dtypes.bfloat16, TileLayout.COL)
k_reg = ker.rt((KV_BLOCK_SIZE, D), dtypes.bfloat16)
k_reg_t = ker.rt((D, KV_BLOCK_SIZE), dtypes.bfloat16, TileLayout.COL)
v_reg = ker.rt((KV_BLOCK_SIZE, D), dtypes.bfloat16)
mask_reg = ker.rt((Q_BLOCK_SIZE, KV_BLOCK_SIZE), dtypes.float32)
mask_reg_transposed = ker.rt((KV_BLOCK_SIZE, Q_BLOCK_SIZE), dtypes.float32, TileLayout.COL)
dv_reg = ker.rt((KV_BLOCK_SIZE, D), dtypes.float32, TileLayout.COL)
do_reg = ker.rt((Q_BLOCK_SIZE, D), dtypes.bfloat16)
do_reg_col = ker.rt((Q_BLOCK_SIZE, D), dtypes.bfloat16, TileLayout.COL)
att_block = ker.rt((KV_BLOCK_SIZE, Q_BLOCK_SIZE), dtypes.float32, TileLayout.COL)
att_block_mma = ker.rt((KV_BLOCK_SIZE, Q_BLOCK_SIZE), dtypes.bfloat16, TileLayout.COL)
att_block_transposed = ker.rt((Q_BLOCK_SIZE, KV_BLOCK_SIZE), dtypes.bfloat16, TileLayout.COL)
att_block_row = ker.rt((Q_BLOCK_SIZE, KV_BLOCK_SIZE), dtypes.bfloat16)
l_vec_reg = ker.rv(Q_BLOCK_SIZE, dtypes.float32)
dv_reg = warp.zero(dv_reg)
# load kv tile
k_reg = warp.load(k_reg, k, (), (batch, kv_seq, head_kv, 0), axis=1)
k_reg_t = warp.transpose(k_reg_t, k_reg)
v_reg = warp.load(v_reg, v, (), (batch, kv_seq, head_kv, 0), axis=1)
for q_idx in ker.range(N // Q_BLOCK_SIZE):
for g in ker.range(GROUP_SIZE):
head_q = head_kv * GROUP_SIZE + g
# load q and do
q_smem = warp.load(q_smem, q, (), (batch, q_idx, head_q, 0), axis=1)
do_smem = warp.load(do_smem, do, (), (batch, q_idx, head_q, 0), axis=1)
q_reg = warp.load(q_reg, q_smem)
q_reg_t = warp.transpose(q_reg_t, q_reg)
q_reg_col = warp.load(q_reg_col, q_smem)
do_reg = warp.load(do_reg, do_smem)
do_reg_col = warp.load(do_reg_col, do_smem)
# load l_vec
l_vec_reg = warp.load(l_vec_reg, l_vec, (), (batch, head_q, 0, q_idx), axis=2)
l_vec_reg *= 1.0 / math.log(2)
# mma qk^t
att_block = warp.zero(att_block.after(g))
att_block = warp.mma_AtB(att_block, k_reg_t, q_reg_t)
# apply attention mask
mask_reg = warp.load(mask_reg, mask, (), (batch, 0, q_idx, kv_seq), axis=2)
mask_reg_transposed = warp.transpose(mask_reg_transposed, mask_reg)
att_block += mask_reg_transposed
att_block *= (1.0 / math.sqrt(D)) * (1.0 / math.log(2))
att_block -= l_vec_reg
att_block = att_block.exp2()
att_block_mma = warp.copy(att_block_mma, att_block)
att_block_transposed = warp.transpose(att_block_transposed, att_block_mma)
att_smem = warp.store(att_smem, att_block_transposed)
att_block_row = warp.load(att_block_row, att_smem)
dv_reg = warp.mma_AB(dv_reg, att_block_row, do_reg_col)
dv_reg = ker.endrange(2)
dv_reg = warp.map(dv_reg, lambda x, idx: x + v_reg[*idx].cast(dtypes.float32) * 1e-30)
dv = warp.store(dv, dv_reg, (batch, kv_seq, head_kv, 0), axis=1)
return ker.finish(2)
return ker.finish()
single_device = xq.device[0] if isinstance(xq.device, tuple) else xq.device
if is_causal:
if attn_mask is not None: raise RuntimeError("cannot set attn_mask when is_causal=True")
attn_mask = Tensor.ones((B, 1, N, N), requires_grad=False, device=xq.device, dtype=dtypes.bool).tril()
attn_mask = Tensor.ones((B, 1, N, N), requires_grad=False, device=single_device, dtype=dtypes.bool).tril()
if attn_mask is not None:
if attn_mask.dtype == dtypes.bool: attn_mask = attn_mask.where(0, -float("inf"))
else:
attn_mask = Tensor.zeros((B, 1, N, N), requires_grad=False, device=xq.device, dtype=dtypes.float32)
attn_mask = Tensor.zeros((B, 1, N, N), requires_grad=False, device=single_device, dtype=dtypes.float32)
if isinstance(xq.device, tuple) and not isinstance(attn_mask.device, tuple):
attn_mask = attn_mask.shard(xq.device, axis=0)
attn = Tensor.empty_like(xq)
l_vec = Tensor.empty(B, H, 1, N, requires_grad=False, device=xq.device, dtype=dtypes.float32).detach()
attn = _sharded_empty_like(xq, axis=0)
l_vec = _sharded_empty((B, H, 1, N), xq, axis=0)
def grad(gradu:UOp, kernel:UOp) -> tuple[None, None, UOp, UOp, UOp, None]:
grad = Tensor(gradu)
grad_q = Tensor.empty_like(q := Tensor(kernel.src[2]))
grad_k = Tensor.empty_like(k := Tensor(kernel.src[3]))
grad_v = Tensor.empty_like(v := Tensor(kernel.src[4]))
mask = Tensor(kernel.src[5])
def grad(gradu:UOp, _) -> tuple[None, None, UOp, UOp, UOp, None]:
grad = Tensor(gradu, device=gradu.device)
grad_q = _sharded_empty_like(xq, axis=0)
grad_k = _sharded_empty_like(xk, axis=0)
grad_v = _sharded_empty_like(xv, axis=0)
delta_vec = (grad * attn).sum(-1).transpose(1, 2).unsqueeze(-2).detach()
print(l_vec.shape, delta_vec.shape, grad.shape, attn.shape, grad_q.shape, grad_k.shape, grad_v.shape)
delta_vec = (grad * attn).sum(-1, dtype=dtypes.float32).transpose(1, 2).unsqueeze(-2).detach()
grad_q = Tensor.custom_kernel(grad_q, grad, q, k, v, mask, l_vec, delta_vec, fxn=custom_backward_q)[0]
grad_k, grad_v = Tensor.custom_kernel(grad_k, grad_v, grad, q, k, v, mask, l_vec, delta_vec, fxn=custom_backward_kv)[:2]
grad_q = Tensor.custom_kernel(grad_q, grad, xq, xk, xv, attn_mask, l_vec, delta_vec, fxn=custom_backward_q)[0]
grad_k = Tensor.custom_kernel(grad_k, grad, xq, xk, xv, attn_mask, l_vec, delta_vec, fxn=custom_backward_k)[0]
grad_v = Tensor.custom_kernel(grad_v, grad, xq, xk, xv, attn_mask, l_vec, fxn=custom_backward_v)[0]
return (None, None, grad_q.uop, grad_k.uop, grad_v.uop, None)
attn, l_vec = Tensor.custom_kernel(attn, l_vec, xq, xk, xv, attn_mask, fxn=custom_forward, grad_fxn=grad)[:2]
attn = attn[:, :N_, :, :D_]
attn_ = attn[:, :N_, :, :D_]
return attn.transpose(1, 2).cast(odtype)
return attn_.transpose(1, 2).cast(odtype)
+38 -30
View File
@@ -24,13 +24,11 @@ class Group:
# ops that only work on a single warp
clear_rid = 1000
def clear(self, reg:ALL_TILES, value:float=0):
reg = cast(UOp, reg)
assert self.warps == 1
rngs_for_shape = tuple(UOp.range(dim, Group.clear_rid + i) for i, dim in enumerate(reg.shape))
Group.clear_rid += len(reg.shape)
rngs_for_shape = tuple(self.ker.raw_range(dim) for dim in reg.shape)
reg_store = reg[*rngs_for_shape].store(value).end(*rngs_for_shape)
@@ -41,14 +39,12 @@ class Group:
def ones(self, reg:ALL_TILES): return self.clear(reg, 1)
def neg_inf(self, reg:ALL_TILES): return self.clear(reg, -math.inf)
copy_rid = 300
def copy(self, dst:ALL_TILES, src:ALL_TILES):
dst, src = cast(UOp, dst), cast(UOp, src)
assert self.warps == 1
assert dst.shape == src.shape
rngs_for_shape = tuple(UOp.range(dim, Group.copy_rid + i) for i, dim in enumerate(dst.shape))
Group.copy_rid += len(dst.shape)
rngs_for_shape = tuple(self.ker.raw_range(dim) for dim in dst.shape)
src_load = src[*rngs_for_shape]
if src.dtype.base != dst.dtype.base:
@@ -219,8 +215,7 @@ class Group:
red_reg = self.ker.alloc((1,), src.dtype.base, AddrSpace.REG)
for height in self.ker.range(src.shape[-3], track=False):
i = UOp.range(red_reg.size, Group.clear_rid)
Group.clear_rid += 1
i = self.ker.raw_range(red_reg.size)
red_reg = red_reg.after(height, *[tkr._rng for tkr in self.ker.range_stack])
reg_store = red_reg.flatten()[i].store(init_value).end(i)
red_reg = red_reg.after(reg_store).reshape(red_reg.shape)
@@ -254,8 +249,7 @@ class Group:
red_reg = self.ker.alloc((1,), src.dtype.base, AddrSpace.REG)
for width in self.ker.range(src.shape[-2], track=False):
i = UOp.range(red_reg.size, Group.clear_rid)
Group.clear_rid += 1
i = self.ker.raw_range(red_reg.size)
red_reg = red_reg.after(width, *[tkr._rng for tkr in self.ker.range_stack])
reg_store = red_reg.flatten()[i].store(init_value).end(i)
red_reg = red_reg.after(reg_store).reshape(red_reg.shape)
@@ -302,9 +296,20 @@ class Group:
row = laneid % rt.base_shape.rows
col = rt.base_shape.stride * (laneid // rt.base_shape.rows) + inner
sheight = height
swidth = width
if len(idxs) == 2:
row_idx = idxs[0] * dst.shape[-3] * rt.base_shape.rows
col_idx = idxs[1] * dst.shape[-2] * rt.base_shape.cols
row += row_idx % st.base_shape.rows
col += col_idx % st.base_shape.cols
sheight += row_idx // st.base_shape.rows
swidth += col_idx // st.base_shape.cols
srow, scol = cast(ST, src).swizzle(row, col)
src_load = src[*idxs[:-2], height, width, srow, scol]
src_load = src[*idxs[:-2], sheight, swidth, srow, scol]
if src.dtype.base != dst.dtype.base:
src_load = src_load.cast(dst.dtype.base)
dst_store = dst[*dst_idxs, height, width, inner].store(src_load)
@@ -318,28 +323,31 @@ class Group:
idxs = tuple(idx * st.cols if i == 3 else idx for i, idx in enumerate(idxs))
src_i = ((idxs[0] * src.shape[-3] + idxs[1]) * src.shape[-2] + idxs[2]) * src.shape[-1] + idxs[3]
for height in self.ker.range(dst.shape[-4], track=False):
for width in self.ker.range(dst.shape[-3], track=False):
elements_per_thread = st.base_shape.elements_per_thread
memcpy_per_row = st.base_shape.cols // elements_per_thread
total_calls = st.base_shape.num_elements // (self.group_threads * elements_per_thread)
elements_per_thread = st.base_shape.elements_per_thread
memcpy_per_row = st.cols // elements_per_thread
total_calls = (dst.shape[-4] * dst.shape[-3] * st.base_shape.num_elements) // (self.group_threads * elements_per_thread)
for outer in self.ker.range(total_calls, track=False):
for inner in self.ker.range(elements_per_thread, axis_type=AxisType.UPCAST, track=False):
load_idx = outer * self.group_threads + self.laneid
row = load_idx // memcpy_per_row
col = (load_idx * elements_per_thread) % st.base_shape.cols + inner
for outer in self.ker.range(total_calls, track=False):
for inner in self.ker.range(elements_per_thread, axis_type=AxisType.UPCAST, track=False):
load_idx = outer * self.group_threads + self.laneid
row = load_idx // memcpy_per_row
col = (load_idx * elements_per_thread) % st.cols + inner
height = row // st.base_shape.rows
width = col // st.base_shape.cols
srow, scol = cast(ST, dst).swizzle(row, col)
row = row % st.base_shape.rows
col = col % st.base_shape.cols
src_i += height * st.base_shape.rows * row_stride + width * st.base_shape.cols
src_i += row * row_stride + col
srow, scol = cast(ST, dst).swizzle(row, col)
src_load = srcf[src_i]
if src.dtype.base != dst.dtype.base:
src_load = src_load.cast(dst.dtype.base)
dst_store = dst[*dst_idxs, height, width, srow, scol].store(src_load)
dst_store = dst_store.end(height, width, outer, inner).barrier()
src_i += height * st.base_shape.rows * row_stride + width * st.base_shape.cols
src_i += row * row_stride + col
src_load = srcf[src_i]
if src.dtype.base != dst.dtype.base:
src_load = src_load.cast(dst.dtype.base)
dst_store = dst[*dst_idxs, height, width, srow, scol].store(src_load)
dst_store = dst_store.end(height, width, outer, inner).barrier()
elif dst_dtype.addrspace == AddrSpace.REG and src_dtype.addrspace == AddrSpace.GLOBAL and isinstance(dst, RT):
srcf = src.flatten()
row_stride = prod(src.shape[axis+1:])
@@ -471,7 +479,7 @@ class Group:
idxs = tuple(idx * rv.length if i == 3 else idx for i, idx in enumerate(idxs))
dst_i = ((idxs[0] * dst.shape[-3] + idxs[1]) * dst.shape[-2] + idxs[2]) * dst.shape[-1] + idxs[3]
for outer in self.ker.range(src.shape[-2]):
for outer in self.ker.range(src.shape[-2], track=False):
dst_i += outer * reductions + (laneid % reductions)
src_load = src[outer, 0]
+5
View File
@@ -55,6 +55,11 @@ class Kernel(AbstractContextManager):
if track: self.range_stack.append(rng)
return rng
def raw_range(self, end:int=0, axis_type:AxisType=AxisType.LOOP):
rng = UOp.range(end, self.range_id, axis_type=axis_type)
self.range_id += 1
return rng
def alloc(self, shape, dtype, addrspace:AddrSpace, name:str|None=None):
match addrspace:
case AddrSpace.GLOBAL:
+16 -23
View File
@@ -7,7 +7,7 @@ from tinygrad.uop.ops import Ops
from tinygrad.helpers import getenv, prod, strides_for_shape, argfix
import torch.lib
TORCH_DEBUG = getenv("TORCH_DEBUG")
import torch, pathlib, math, operator, functools, weakref
import torch, pathlib, operator, functools, weakref
torch.autograd.grad_mode.set_multithreading_enabled(False)
from tinygrad.dtype import _from_torch_dtype, _to_torch_dtype
@@ -74,6 +74,7 @@ view_ops = {
"aten.select.int": lambda self, dim, idx: self[(slice(None),) * (dim%self.ndim) + (idx,)],
"aten.permute": Tensor.permute,
"aten.alias": lambda self: self,
"aten.diagonal": Tensor.diagonal,
}
# torch 2.10 handles this natively
@@ -154,7 +155,9 @@ def index_put(self, indices, values, accumulate=False):
return aten.index_put(self.cpu(), [z.cpu() if isinstance(z, torch.Tensor) else None for z in indices], values.clone().cpu(), accumulate).tiny()
@torch.library.impl("aten::isin.Tensor_Tensor_out", "privateuseone")
def isin_tensor_tensor_out(x, y, *, assume_unique=False, invert=False, out=None): return out.copy_(aten.isin(x.cpu(), y.cpu(), assume_unique=assume_unique, invert=invert).tiny())
def isin_tensor_tensor_out(x, y, *, assume_unique=False, invert=False, out=None):
result = (unwrap(x).unsqueeze(-1) == unwrap(y).flatten()).any(-1)
return out.copy_(wrap(~result if invert else result))
@torch.library.impl("aten::randperm.generator_out", "privateuseone")
def randperm_generator(n, generator=None, out=None):
@@ -162,13 +165,16 @@ def randperm_generator(n, generator=None, out=None):
@torch.library.impl("aten::cummax", "privateuseone")
def cummax(self, dim):
# TODO: support cummax with indices to match torch
cummax, indices = aten.cummax(self.cpu(), dim)
return (cummax.tiny(), indices.tiny())
values, indices = unwrap(self).cummax(dim)
return (wrap(values), wrap(indices.cast(dtypes.int64)))
@torch.library.impl("aten::cummin", "privateuseone")
def cummin(self, dim):
values, indices = unwrap(self).cummin(dim)
return (wrap(values), wrap(indices.cast(dtypes.int64)))
@torch.library.impl("aten::nonzero", "privateuseone")
# TODO: move to tinygrad
def nonzero(self): return aten.nonzero(self.cpu()).tiny()
def nonzero(self): return wrap(unwrap(self).nonzero())
@torch.library.impl("aten::_linalg_eigh", "privateuseone")
# TODO: move to tinygrad
@@ -472,7 +478,7 @@ for k,v in get_decompositions(decomps).items():
# the goal is to make as much as we can this
simple_tensor_methods = [
# unary (ish)
"log", "log2", "sqrt", "rsqrt", "sign", "silu", "hardsigmoid", "exp", "exp2", "neg", "reciprocal", "bitwise_not",
"log", "log2", "log10", "sqrt", "rsqrt", "sign", "silu", "hardsigmoid", "exp", "exp2", "neg", "reciprocal", "bitwise_not",
"sigmoid", "clamp", "mish", "erf", "leaky_relu",
# trig
"acos", "acosh", "cos", "cosh", "asin", "asinh", "sin", "sinh", "atan", "atanh", "tan", "tanh",
@@ -516,7 +522,6 @@ tiny_backend_out = {**{f"aten.{x}.out":getattr(Tensor,x) for x in simple_tensor_
"aten.bitwise_left_shift.Tensor_out": lambda x,y: x*(2**y),
"aten.bitwise_right_shift.Tensor_out": lambda x,y: x//(2**y),
# not in tinygrad. are there decomps for these?
"aten.log10.out": lambda self: self.log2() * (math.log(2) / math.log(10)),
"aten.log1p.out": lambda self: (self+1).log(),
"aten.expm1.out": lambda self: self.exp() - 1,
"aten.fmax.out": lambda input,other: Tensor.where(input.isnan() & ~other.isnan(), other, Tensor.where(~input.isnan() & other.isnan(), input, Tensor.maximum(input, other))),
@@ -625,7 +630,8 @@ tiny_backend = {**{k:wrap_out(v) for k,v in tiny_backend_out.items()}, **{
Tensor.linspace(start, stop, steps, **({"dtype": _from_torch_dtype(dtype)} if dtype is not None else {})),
"aten.topk": Tensor.topk,
"aten.constant_pad_nd": lambda self, padding, value=0.0: self.pad(padding, mode="constant", value=value).contiguous(),
"aten.cumsum": lambda self, dim: self.cumsum(dim).contiguous(), # TODO: fix test_simple_cumsum, fails without contiguous for shapes >512
# TODO: input contiguous is needed to prevent CFGContext circular dependency assertion for shapes >512 (see test_cumsum_arange_large)
"aten.cumsum": lambda self, dim: self.contiguous().cumsum(dim),
"aten.logsumexp": lambda self, axis, keepdim=False: self.logsumexp(axis[0], keepdim=keepdim),
"aten.roll": Tensor.roll,
"aten.logcumsumexp": Tensor.logcumsumexp,
@@ -751,16 +757,3 @@ def _pad_circular(self, padding): return _PadCircular.apply(self, padding)
@torch.library.impl("aten::_pad_circular", "AutogradPrivateUse1")
def _pad_circular_autograd(self, padding): return _PadCircular.apply(self, padding)
# only needed for test_diag_backward_gradient_values
# was going through torch before, but now we are using tinygrad directly and tracking views
# Tensor.diagonal does not support all cases tests in the tests
@torch.library.impl("aten::diagonal", "privateuseone")
@wrap_view_op
def diagonal(self, offset=0, dim1=0, dim2=1):
if offset != 0: raise NotImplementedError(f"diagonal with {offset=} not implemented")
dim1, dim2 = dim1 % self.ndim, dim2 % self.ndim
if dim1 != self.ndim - 2 or dim2 != self.ndim - 1: raise NotImplementedError(f"diagonal with {dim1=}, {dim2=} not implemented, only last two dims supported")
batch_shape, m, n = self.shape[:-2], self.shape[-2], self.shape[-1]
diag_len = min(m, n)
return self.reshape(*batch_shape, m*n).pad(tuple((0,0) for _ in batch_shape) + ((0, diag_len),)).reshape(*batch_shape, diag_len, n+1)[..., :, 0]
+23
View File
@@ -191,6 +191,20 @@ class TestTorchBackend(unittest.TestCase):
assert torch.equal(tensor_a, tensor_b)
assert not torch.equal(tensor_a, tensor_c)
@unittest.skip("# TODO: this test is slow")
def test_linalg_svd(self):
A = torch.randn(5, 5, device=device)
U, S, Vh = torch.linalg.svd(A)
np.testing.assert_equal(U.shape, (5,5))
np.testing.assert_equal(Vh.shape, (5,5))
np.testing.assert_allclose(torch.dist(A, U @ torch.diag(S) @ Vh).cpu().numpy(), 0, atol=1e-5)
A = torch.randn(5, 3, device=device)
U, S, Vh = torch.linalg.svd(A, full_matrices=False)
np.testing.assert_equal(U.shape, (5,3))
np.testing.assert_equal(Vh.shape, (3,3))
np.testing.assert_allclose(torch.dist(A, U @ torch.diag(S) @ Vh).cpu().numpy(), 0, atol=1e-5)
def test_linalg_eigh(self):
a = torch.tensor([[1, 2], [2, 1]], dtype=torch.float32, device=device)
w, v = torch.linalg.eigh(a)
@@ -686,6 +700,15 @@ class TestTorchBackend(unittest.TestCase):
expected = np.array([4.0, 3.0, 2.0, 1.0])
np.testing.assert_allclose(a.grad.cpu().numpy(), expected, rtol=1e-5)
def test_cumsum_arange_large(self):
# Tests cumsum with an unrealized arange input with size > 512 (the split threshold)
# This exercises the _split_cumalu path which uses a two-stage algorithm
for size in [513, 1022]:
a = torch.arange(size, dtype=torch.float32, device=device)
result = torch.cumsum(a, dim=0)
expected = torch.arange(size, dtype=torch.float32).cumsum(dim=0)
np.testing.assert_allclose(result.cpu().numpy(), expected.numpy(), rtol=1e-5)
def test_diag_1d_to_2d(self):
a = torch.tensor([1.0, 2.0, 3.0], dtype=torch.float32, device=device, requires_grad=True)
b = torch.diag(a)
@@ -1,14 +1,7 @@
#include "TinyGPUDriver.h"
#include "TinyGPUDriverUserClient.h"
#include <AudioDriverKit/AudioDriverKit.h>
#include <DriverKit/IOUserServer.h>
#include <DriverKit/IOLib.h>
#include <DriverKit/OSString.h>
#include <DriverKit/IOMemoryMap.h>
#include <DriverKit/IODMACommand.h>
#include <DriverKit/IODispatchQueue.h>
#include <PCIDriverKit/PCIDriverKit.h>
#include <DriverKit/OSAction.h>
struct TinyGPUDriver_IVars
{
@@ -34,9 +27,6 @@ bool TinyGPUDriver::init()
void TinyGPUDriver::free()
{
if (ivars != nullptr) {
}
IOSafeDeleteNULL(ivars, TinyGPUDriver_IVars, 1);
super::free();
}
@@ -64,32 +54,6 @@ kern_return_t TinyGPUDriver::Start_Impl(IOService* in_provider)
ivars->pci->ConfigurationRead16(kIOPCIConfigurationOffsetDeviceID, &dev);
os_log(OS_LOG_DEFAULT, "tinygpu: opened device ven=0x%04x dev=0x%04x", ven, dev);
#if 0
uint32_t off = 0x100;
while (off) {
uint32_t hdr = 0, next = 0, cap_id = 0;
ivars->pci->ConfigurationRead32(off, &hdr);
cap_id = hdr & 0xFFFFu;
next = (hdr >> 20) & 0xFFCu;
os_log(OS_LOG_DEFAULT, "tinygpu: cap: %u", cap_id);
if (cap_id == 0x15) {
uint32_t cap = 0, ctrl = 0;
ivars->pci->ConfigurationRead32(off+0x4, &cap);
ivars->pci->ConfigurationRead32(off+0x8, &ctrl);
uint32_t new_bar_size = 31 - __builtin_clz(cap >> 4);
uint32_t new_ctrl = (ctrl & ~0x1f00) | (new_bar_size << 8);
ivars->pci->ConfigurationWrite32(off+0x8, new_ctrl);
os_log(OS_LOG_DEFAULT, "tinygpu: rebar: cap=%u ctrl=%u new_bar_size=%u new_ctrl=%u", cap, ctrl, new_bar_size, new_ctrl);
ivars->pci->Reset(0);
break;
}
off = next;
}
ivars->pci->Reset(kIOPCIDeviceResetTypeHotReset);
#endif
uint16_t commandRegister;
ivars->pci->ConfigurationRead16(kIOPCIConfigurationOffsetCommand, &commandRegister);
commandRegister |= (kIOPCICommandIOSpace | kIOPCICommandBusMaster | kIOPCICommandMemorySpace);
@@ -130,96 +94,66 @@ error:
kern_return_t TinyGPUDriver::MapBar(uint32_t bar, IOMemoryDescriptor** memory)
{
kern_return_t err = 0;
uint8_t barMemoryIndex, barMemoryType;
uint64_t barMemorySize;
err = ivars->pci->GetBARInfo(bar, &barMemoryIndex, &barMemorySize, &barMemoryType);
kern_return_t err = ivars->pci->GetBARInfo(bar, &barMemoryIndex, &barMemorySize, &barMemoryType);
if (err) return err;
os_log(OS_LOG_DEFAULT, "tinygpu: bar mapping %d idx=%d", bar, barMemoryIndex);
return ivars->pci->_CopyDeviceMemoryWithIndex(barMemoryIndex, memory, this);
}
os_log(OS_LOG_DEFAULT, "tinygpu: requested bar mapping %d, %d", bar, (uint32_t)barMemoryIndex);
err = ivars->pci->_CopyDeviceMemoryWithIndex(barMemoryIndex, memory, this);
return err;
static kern_return_t WriteDMASegments(IOMemoryDescriptor* mem, IOAddressSegment* segments, uint32_t segCount,
uint64_t mapOffset = 0, uint64_t mapSize = 0)
{
// write dma segments to mapped memory as [addr0, len0, addr1, len1, ..., 0, 0]
IOMemoryMap* map = nullptr;
kern_return_t err = mem->CreateMapping(0, 0, 0, mapOffset, mapSize, &map);
if (err || !map) return err ?: kIOReturnError;
uint64_t* out = (uint64_t*)map->GetAddress();
for (uint32_t i = 0; i < segCount; i++) { out[i * 2] = segments[i].address; out[i * 2 + 1] = segments[i].length; }
out[segCount * 2] = 0; out[segCount * 2 + 1] = 0;
map->release();
return 0;
}
kern_return_t TinyGPUDriver::SetupDMA(IOMemoryDescriptor* memory, uint64_t size, IODMACommand** outCmd,
IOAddressSegment* segments, uint32_t* segCount)
{
IODMACommandSpecification dmaSpec = {.options = 0, .maxAddressBits = 40};
IODMACommand* dmaCmd = nullptr;
kern_return_t err = IODMACommand::Create(ivars->pci, kIODMACommandCreateNoOptions, &dmaSpec, &dmaCmd);
if (err) { os_log(OS_LOG_DEFAULT, "tinygpu: DMA create failed err=%d", err); return err; }
uint64_t flags = kIOMemoryDirectionInOut;
err = dmaCmd->PrepareForDMA(kIODMACommandPrepareForDMANoOptions, memory, 0, size, &flags, segCount, segments);
if (err) { os_log(OS_LOG_DEFAULT, "tinygpu: PrepareForDMA failed err=%d", err); dmaCmd->release(); return err; }
*outCmd = dmaCmd;
return 0;
}
kern_return_t TinyGPUDriver::CreateDMA(size_t size, TinyGPUCreateDMAResp* dmaDesc)
{
kern_return_t err = 0;
IOMemoryMap* memoryMap = nullptr;
IOBufferMemoryDescriptor* sharedBuf = nullptr;
kern_return_t err = IOBufferMemoryDescriptor::Create(kIOMemoryDirectionInOut, size, IOVMPageSize, &sharedBuf);
if (err) { os_log(OS_LOG_DEFAULT, "tinygpu: alloc failed err=%d", err); return err; }
IODMACommand* dmaCmd = nullptr;
uint64_t flags = kIOMemoryDirectionInOut;
uint32_t segCount = 32;
IOAddressSegment segments[32];
IODMACommandSpecification dmaSpec = {
.options = 0,
.maxAddressBits = 40,
};
uint32_t segCount = 32;
err = SetupDMA(sharedBuf, size, &dmaCmd, segments, &segCount);
if (err) { sharedBuf->release(); return err; }
err = IOBufferMemoryDescriptor::Create(kIOMemoryDirectionInOut, size, IOVMPageSize, &sharedBuf);
if (err) {
os_log(OS_LOG_DEFAULT, "tinygpu: failed to alloc user buffer, err=%d", err);
goto error;
}
err = IODMACommand::Create(ivars->pci, kIODMACommandCreateNoOptions, &dmaSpec, &dmaCmd);
if (err) {
os_log(OS_LOG_DEFAULT, "tinygpu: failed to create dma command, err=%d", err);
goto error;
}
err = dmaCmd->PrepareForDMA(kIODMACommandPrepareForDMANoOptions, sharedBuf, 0, size,
&flags, &segCount, segments);
if (err) {
os_log(OS_LOG_DEFAULT, "tinygpu: failed to prepare for dma, err=%d", err);
goto error;
}
// pass addresses to userland
{
// debug
for (int i = 0; i < segCount; i++) {
os_log(OS_LOG_DEFAULT, "tinygpu: new dma mapping (sz=0x%zx) %d 0x%llx 0x%llx", size, i, segments[i].address, segments[i].length);
}
err = sharedBuf->CreateMapping(0, 0, 0, IOVMPageSize, IOVMPageSize, &memoryMap); // one page should be fine
if (err) {
os_log(OS_LOG_DEFAULT, "tinygpu: failed to map memory, err=%d", err);
goto error;
}
// Send back gpu addresses
uint64_t* addr = (uint64_t*)memoryMap->GetAddress();
for (int i = 0; i < segCount; i++) {
addr[i * 2] = segments[i].address;
addr[i * 2 + 1] = segments[i].length;
}
addr[segCount * 2] = 0;
addr[segCount * 2 + 1] = 0;
// free memoryMap
memoryMap->release();
memoryMap = nullptr;
}
err = WriteDMASegments(sharedBuf, segments, segCount, IOVMPageSize, IOVMPageSize);
if (err) { dmaCmd->CompleteDMA(kIODMACommandCompleteDMANoOptions); dmaCmd->release(); sharedBuf->release(); return err; }
dmaDesc->sharedBuf = sharedBuf;
dmaDesc->dmaCmd = dmaCmd;
os_log(OS_LOG_DEFAULT, "tinygpu: CreateDMA size=0x%zx segs=%u", size, segCount);
return 0;
error:
if (memoryMap) {
memoryMap->release();
memoryMap = nullptr;
}
if (dmaCmd) {
dmaCmd->CompleteDMA(kIODMACommandCompleteDMANoOptions);
dmaCmd->release();
dmaCmd = nullptr;
}
if (sharedBuf) {
sharedBuf->release();
sharedBuf = nullptr;
}
return err;
}
kern_return_t TinyGPUDriver::CfgRead(uint32_t off, uint32_t size, uint32_t* outVal)
@@ -257,3 +191,8 @@ kern_return_t TinyGPUDriver::ResetDevice()
ivars->pci->Reset(kIOPCIDeviceResetTypeFunctionReset);
return 0;
}
IOPCIDevice* TinyGPUDriver::GetPCI()
{
return ivars->pci;
}
@@ -2,20 +2,16 @@
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
<key>com.apple.developer.driverkit</key>
<true/>
<key>com.apple.developer.driverkit.transport.pci</key>
<array>
<dict>
<key>IOPCIMatch</key>
<string>0x00001002&amp;0x0000FFFF</string>
</dict>
<dict>
<key>IOPCIMatch</key>
<string>0x000010de&amp;0x0000FFFF</string>
<key>IOPCIPrimaryMatch</key>
<string>0xFFFFFFFF&amp;0x00000000</string>
</dict>
</array>
<key>com.apple.developer.driverkit.allow-any-userclient-access</key>
<true/>
<key>com.apple.developer.driverkit</key>
<true/>
</dict>
</plist>
@@ -28,11 +28,13 @@ public:
kern_return_t MapBar(uint32_t bar, IOMemoryDescriptor** memory) LOCALONLY;
kern_return_t CreateDMA(size_t size, TinyGPUCreateDMAResp* dmaDesc) LOCALONLY;
kern_return_t SetupDMA(IOMemoryDescriptor* memory, uint64_t size, IODMACommand** outCmd,
IOAddressSegment* segments, uint32_t* segCount) LOCALONLY;
kern_return_t CfgRead(uint32_t off, uint32_t size, uint32_t* val) LOCALONLY;
kern_return_t CfgWrite(uint32_t off, uint32_t size, uint32_t val) LOCALONLY;
kern_return_t ResetDevice() LOCALONLY;
kern_return_t BarInfo() LOCALONLY;
IOPCIDevice* GetPCI() LOCALONLY;
};
#endif /* TinyGPUDriver_h */
@@ -129,6 +129,36 @@ kern_return_t TinyGPUDriverUserClient::ExternalMethod(uint64_t selector, IOUserC
} else if (selector == TinyGPURPC::Reset) {
os_log(OS_LOG_DEFAULT, "tinygpu: reset");
return ivars->provider->ResetDevice();
} else if (selector == TinyGPURPC::PrepareDMA) {
// both input and output buffers must be >= 4097 bytes for IOMemoryDescriptor
if (!args->structureInputDescriptor || !args->structureOutputDescriptor) {
os_log(OS_LOG_DEFAULT, "tinygpu: PrepareDMA requires buffers >= 4097 bytes");
return kIOReturnBadArgument;
}
if (ivars->ensureDMACap(ivars->dmaCount + 1)) return kIOReturnNoMemory;
uint64_t size = 0;
args->structureInputDescriptor->GetLength(&size);
IODMACommand* dmaCmd = nullptr;
IOAddressSegment segments[32];
uint32_t segCount = 32;
err = ivars->provider->SetupDMA(args->structureInputDescriptor, size, &dmaCmd, segments, &segCount);
if (err) return err;
// write physical addresses to output: [addr0, len0, addr1, len1, ..., 0, 0]
IOMemoryMap* outMap = nullptr;
err = args->structureOutputDescriptor->CreateMapping(0, 0, 0, 0, 0, &outMap);
if (err || !outMap) { os_log(OS_LOG_DEFAULT, "tinygpu: output map failed err=%d", err); dmaCmd->release(); return err; }
uint64_t* out = (uint64_t*)outMap->GetAddress();
for (uint32_t i = 0; i < segCount; i++) { out[i * 2] = segments[i].address; out[i * 2 + 1] = segments[i].length; }
out[segCount * 2] = 0; out[segCount * 2 + 1] = 0;
outMap->release();
os_log(OS_LOG_DEFAULT, "tinygpu: PrepareDMA size=%llu segs=%u", size, segCount);
ivars->dmas[ivars->dmaCount++] = {nullptr, dmaCmd};
return kIOReturnSuccess;
}
return kIOReturnUnsupported;
@@ -7,7 +7,8 @@ enum TinyGPURPC
{
ReadCfg,
WriteCfg,
Reset
Reset,
PrepareDMA,
};
class TinyGPUDriverUserClient : public IOUserClient
+38
View File
@@ -0,0 +1,38 @@
#!/usr/bin/env python3
import argparse, pathlib
from typing import Iterator
from tinygrad.viz import serve as viz
from tinygrad.uop.ops import RewriteTrace
from tinygrad.helpers import temp, ansistrip, colored
def optional_eq(val:dict, arg:str|None) -> bool: return arg is None or ansistrip(val["name"]) == arg
def print_data(data:dict) -> None:
if isinstance(data.get("value"), Iterator):
for m in data["value"]:
if not m["diff"]: continue
fp = pathlib.Path(m["upat"][0][0])
print(f"{fp.parent.name}/{fp.name}:{m['upat'][0][1]}")
print(m["upat"][1])
for line in m["diff"]:
color = "red" if line.startswith("-") else "green" if line.startswith("+") else None
print(colored(line, color))
if data.get("src") is not None: print(data["src"])
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument('--kernel', type=str, default=None, metavar="NAME", help='Select a kernel by name (optional name, default: only list names)')
parser.add_argument('--select', type=str, default=None, metavar="NAME",
help='Select an item within the chosen kernel (optional name, default: only list names)')
args = parser.parse_args()
viz.trace = viz.load_pickle(pathlib.Path(temp("rewrites.pkl", append_user=True)), default=RewriteTrace([], [], {}))
viz.ctxs = viz.get_rewrites(viz.trace)
for k in viz.ctxs:
if not optional_eq(k, args.kernel): continue
print(k["name"])
if args.kernel is None: continue
for s in k["steps"]:
if not optional_eq(s, args.select): continue
print(" "*s["depth"]+s['name']+(f" - {s['match_count']}" if s.get('match_count') is not None else ''))
if args.select is not None: print_data(viz.get_render(s['query']))

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