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Author SHA1 Message Date
George HotzandGitHub 26f2049d43 Merge branch 'master' into bitcast_spec 2026-08-12 19:24:33 -07:00
geohot a8d13380f9 simpler, but not inverse 2026-06-25 10:24:01 -07:00
geohot afb0463f10 fix bitcast 2026-06-25 10:11:13 -07:00
geohot 947d6a3c69 enforce a cast for bitcast 2026-06-25 10:00:14 -07:00
7 changed files with 135 additions and 102 deletions
+10 -10
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@@ -41,12 +41,12 @@ inputs:
description: "Install LLVM?"
required: false
default: 'false'
qemu:
description: "Install qemu"
tinydreno:
description: "Install tinydreno"
required: false
default: 'false'
docker-qemu:
description: "Setup docker to use qemu"
qemu:
description: "Install qemu"
required: false
default: 'false'
runs:
@@ -277,6 +277,12 @@ runs:
shell: bash
run: brew install llvm@20
# *** tinydreno ***
- name: Install tinydreno (linux)
if: inputs.tinydreno == 'true' && runner.os == 'Linux'
shell: bash
run: sudo curl -fL https://github.com/sirhcm/tinydreno/raw/refs/heads/master/libllvm-qcom.so -o /usr/lib/libllvm-qcom.so
# *** OpenCL ***
- name: Install rusticl
if: inputs.opencl == 'true'
@@ -286,9 +292,3 @@ runs:
sudo mkdir -p /etc/OpenCL/vendors
echo "/usr/lib/libRusticlOpenCL.so" | sudo tee /etc/OpenCL/vendors/rusticl.icd
echo "RUSTICL_ENABLE=llvmpipe" >> "$GITHUB_ENV"
- name: Setup docker to use qemu
if: inputs.docker-qemu == 'true'
uses: docker/setup-qemu-action@v4
with:
platforms: arm64
+32
View File
@@ -179,3 +179,35 @@ jobs:
- name: Run test_tiny
shell: bash
run: python -m pytest -n=auto test/test_tiny.py --durations=20
qcomclcompiletests:
name: Compile-only (QCOM CL)
runs-on: ubuntu-24.04-arm
timeout-minutes: 15
steps:
- name: Checkout Code
uses: actions/checkout@v6
- name: Setup Environment
uses: ./.github/actions/setup-tinygrad
with:
key: compile-qcomcl
deps: testing_unit
tinydreno: 'true'
- name: Set env
shell: bash
run: printf "DEV=NULL:QCOMCL:a630\nNULL_ALLOW_COPYOUT=1" >> $GITHUB_ENV
- name: Run test_ops
shell: bash
run: |
python -c "from tinygrad import Device; assert Device.DEFAULT == 'NULL'"
DEBUG=4 python3 test/backend/test_ops.py TestOps.test_add
python -m pytest -n=auto test/backend/test_ops.py --durations=20
- name: Run test_ops (IMAGE)
shell: bash
env:
IMAGE: 1
DEV: "NULL:QCOMCL:a630,IMAGE_PITCH_ALIGNMENT=64"
run: |
DEBUG=4 python test/backend/test_ops.py TestOps.test_gemm | grep read_imagef
python -m pytest -n=auto test/backend/test_ops.py --durations=20
+35 -35
View File
@@ -21,7 +21,7 @@ concurrency:
jobs:
docs:
name: Docs
runs-on: ${{ github.repository == 'tinygrad/tinygrad' && github.event_name == 'pull_request' && github.event.pull_request.author_association == 'COLLABORATOR' && 'namespace-profile-tinygrad' || 'ubuntu-24.04' }}
runs-on: &linux ${{ github.repository == 'tinygrad/tinygrad' && github.event_name == 'pull_request' && github.event.pull_request.author_association == 'COLLABORATOR' && 'namespace-profile-tinygrad' || 'ubuntu-24.04' }}
timeout-minutes: 10
env:
CHECK_OOB: 0
@@ -61,7 +61,7 @@ jobs:
torchbackend:
name: Torch Backend Tests
runs-on: ${{ github.repository == 'tinygrad/tinygrad' && github.event_name == 'pull_request' && github.event.pull_request.author_association == 'COLLABORATOR' && 'namespace-profile-tinygrad' || 'ubuntu-24.04' }}
runs-on: *linux
timeout-minutes: 15
steps:
- name: Checkout Code
@@ -88,7 +88,7 @@ jobs:
bepython:
name: Python Backend
runs-on: ${{ github.repository == 'tinygrad/tinygrad' && github.event_name == 'pull_request' && github.event.pull_request.author_association == 'COLLABORATOR' && 'namespace-profile-tinygrad' || 'ubuntu-24.04' }}
runs-on: *linux
timeout-minutes: 15
steps:
- name: Checkout Code
@@ -126,7 +126,7 @@ jobs:
linter:
name: Linters
runs-on: ${{ github.repository == 'tinygrad/tinygrad' && github.event_name == 'pull_request' && github.event.pull_request.author_association == 'COLLABORATOR' && 'namespace-profile-tinygrad' || 'ubuntu-24.04' }}
runs-on: *linux
timeout-minutes: 10
steps:
@@ -157,7 +157,7 @@ jobs:
nulltest:
name: Null Tests
runs-on: ${{ github.repository == 'tinygrad/tinygrad' && github.event_name == 'pull_request' && github.event.pull_request.author_association == 'COLLABORATOR' && 'namespace-profile-tinygrad' || 'ubuntu-24.04' }}
runs-on: *linux
timeout-minutes: 15
steps:
@@ -191,7 +191,7 @@ jobs:
unittest:
name: Unit Tests
runs-on: ${{ github.repository == 'tinygrad/tinygrad' && github.event_name == 'pull_request' && github.event.pull_request.author_association == 'COLLABORATOR' && 'namespace-profile-tinygrad' || 'ubuntu-24.04' }}
runs-on: *linux
timeout-minutes: 15
steps:
@@ -228,7 +228,7 @@ jobs:
matrix:
group: [1, 2]
name: SPEC=2 (${{ matrix.group }})
runs-on: ${{ github.repository == 'tinygrad/tinygrad' && github.event_name == 'pull_request' && github.event.pull_request.author_association == 'COLLABORATOR' && 'namespace-profile-tinygrad' || 'ubuntu-24.04' }}
runs-on: *linux
timeout-minutes: 15
steps:
- name: Checkout Code
@@ -244,7 +244,7 @@ jobs:
fuzzing:
name: Fuzzing
runs-on: ${{ github.repository == 'tinygrad/tinygrad' && github.event_name == 'pull_request' && github.event.pull_request.author_association == 'COLLABORATOR' && 'namespace-profile-tinygrad' || 'ubuntu-24.04' }}
runs-on: *linux
timeout-minutes: 10
steps:
- name: Checkout Code
@@ -260,7 +260,7 @@ jobs:
testopenclimage:
name: CL IMAGE Tests
runs-on: ${{ github.repository == 'tinygrad/tinygrad' && github.event_name == 'pull_request' && github.event.pull_request.author_association == 'COLLABORATOR' && 'namespace-profile-tinygrad' || 'ubuntu-24.04' }}
runs-on: *linux
timeout-minutes: 15
steps:
- name: Checkout Code
@@ -280,7 +280,7 @@ jobs:
testopenpilot:
name: openpilot Compile Tests
runs-on: ${{ github.repository == 'tinygrad/tinygrad' && github.event_name == 'pull_request' && github.event.pull_request.author_association == 'COLLABORATOR' && 'namespace-profile-tinygrad' || 'ubuntu-24.04' }}
runs-on: *linux
timeout-minutes: 15
steps:
- name: Checkout Code
@@ -309,7 +309,7 @@ jobs:
testonnxcpu:
name: ONNX (CPU) Tests
runs-on: ${{ github.repository == 'tinygrad/tinygrad' && github.event_name == 'pull_request' && github.event.pull_request.author_association == 'COLLABORATOR' && 'namespace-profile-tinygrad' || 'ubuntu-24.04' }}
runs-on: *linux
timeout-minutes: 20
steps:
@@ -328,7 +328,7 @@ jobs:
testoptim:
name: Optimization Tests
runs-on: ${{ github.repository == 'tinygrad/tinygrad' && github.event_name == 'pull_request' && github.event.pull_request.author_association == 'COLLABORATOR' && 'namespace-profile-tinygrad' || 'ubuntu-24.04' }}
runs-on: *linux
timeout-minutes: 20
steps:
- name: Checkout Code
@@ -360,7 +360,7 @@ jobs:
testllm:
name: Test LLM
runs-on: ${{ github.repository == 'tinygrad/tinygrad' && github.event_name == 'pull_request' && github.event.pull_request.author_association == 'COLLABORATOR' && 'namespace-profile-tinygrad' || 'ubuntu-24.04' }}
runs-on: *linux
timeout-minutes: 15
env:
CHECK_OOB: 0
@@ -387,7 +387,7 @@ jobs:
testmodels:
name: Models
runs-on: ${{ github.repository == 'tinygrad/tinygrad' && github.event_name == 'pull_request' && github.event.pull_request.author_association == 'COLLABORATOR' && 'namespace-profile-tinygrad' || 'ubuntu-24.04' }}
runs-on: *linux
timeout-minutes: 15
steps:
- name: Checkout Code
@@ -407,7 +407,7 @@ jobs:
testdsp:
name: Linux (DSP)
runs-on: ${{ github.repository == 'tinygrad/tinygrad' && github.event_name == 'pull_request' && github.event.pull_request.author_association == 'COLLABORATOR' && 'namespace-profile-tinygrad' || 'ubuntu-24.04' }}
runs-on: *linux
timeout-minutes: 15
steps:
- name: Checkout Code
@@ -435,7 +435,7 @@ jobs:
- 'WEBGPU'
name: Linux (DEV=${{ matrix.dev }})
runs-on: ${{ github.repository == 'tinygrad/tinygrad' && github.event_name == 'pull_request' && github.event.pull_request.author_association == 'COLLABORATOR' && 'namespace-profile-tinygrad' || 'ubuntu-24.04' }}
runs-on: *linux
timeout-minutes: 20
steps:
- name: Checkout Code
@@ -461,7 +461,7 @@ jobs:
testamdasm:
name: AMD ASM IDE
runs-on: ${{ github.repository == 'tinygrad/tinygrad' && github.event_name == 'pull_request' && github.event.pull_request.author_association == 'COLLABORATOR' && 'namespace-profile-tinygrad' || 'ubuntu-24.04' }}
runs-on: *linux
timeout-minutes: 20
env:
DEV: MOCKKFD+AMD
@@ -507,7 +507,7 @@ jobs:
hcq2:
name: hcq2
runs-on: ${{ github.repository == 'tinygrad/tinygrad' && github.event_name == 'pull_request' && github.event.pull_request.author_association == 'COLLABORATOR' && 'namespace-profile-tinygrad' || 'ubuntu-24.04' }}
runs-on: *linux
timeout-minutes: 5
steps:
- name: Checkout Code
@@ -529,7 +529,7 @@ jobs:
testmockam:
name: Linux (am)
runs-on: ${{ github.repository == 'tinygrad/tinygrad' && github.event_name == 'pull_request' && github.event.pull_request.author_association == 'COLLABORATOR' && 'namespace-profile-tinygrad' || 'ubuntu-24.04' }}
runs-on: *linux
timeout-minutes: 15
env:
DEV: MOCKPCI+AMD
@@ -565,7 +565,7 @@ jobs:
arch: [gfx1100, gfx1201, gfx950]
name: Linux (${{ matrix.backend }} ${{ matrix.arch }})
runs-on: ${{ github.repository == 'tinygrad/tinygrad' && github.event_name == 'pull_request' && github.event.pull_request.author_association == 'COLLABORATOR' && 'namespace-profile-tinygrad' || 'ubuntu-24.04' }}
runs-on: *linux
timeout-minutes: 15
env:
DEV: MOCKKFD+AMD:${{ matrix.backend == 'amdllvm' && 'LLVM' || '' }}:${{ matrix.arch }}
@@ -603,7 +603,7 @@ jobs:
backend: [ptx, nv]
name: Linux (${{ matrix.backend }})
runs-on: ${{ github.repository == 'tinygrad/tinygrad' && github.event_name == 'pull_request' && github.event.pull_request.author_association == 'COLLABORATOR' && 'namespace-profile-tinygrad' || 'ubuntu-24.04' }}
runs-on: *linux
timeout-minutes: 20
env:
FORWARD_ONLY: 1
@@ -637,17 +637,10 @@ jobs:
strategy:
fail-fast: false
matrix:
dev:
- 'NULL:IR3:a630'
- 'NULL:QCOMCL:a630'
- 'NULL:NAK:sm_120'
name: Compile-only (DEV=${{ matrix.dev }})
runs-on: ${{ github.repository == 'tinygrad/tinygrad' && github.event_name == 'pull_request' && github.event.pull_request.author_association == 'COLLABORATOR' && 'namespace-profile-tinygrad' || 'ubuntu-24.04' }}
backend: [ir3, nak]
name: Compile-only (${{ matrix.backend }})
runs-on: *linux
timeout-minutes: 15
env:
NULL_ALLOW_COPYOUT: 1
DEV: ${{ matrix.dev }}${{ contains(matrix.dev, 'a630') && ',IMAGE_PITCH_ALIGNMENT=64' || '' }}
IMAGE: ${{ contains(matrix.dev, 'a630') && '1' || '0' }}
steps:
- name: Checkout Code
uses: actions/checkout@v6
@@ -656,14 +649,21 @@ jobs:
with:
key: compile-${{ matrix.backend }}
deps: "testing_unit mesa"
docker-qemu: ${{ contains(matrix.dev, 'QCOMCL') }}
- name: Test IMAGE
- name: Set env
shell: bash
if: contains(matrix.dev, 'a630')
run: DEBUG=7 python3 test/backend/test_ops.py TestOps.test_gemm | grep isam
run: printf "NULL_ALLOW_COPYOUT=1\n${{ matrix.backend == 'ir3' && 'DEV=NULL:IR3:a630' || matrix.backend == 'nak' && 'DEV=NULL:NAK:sm_120' }}" >> $GITHUB_ENV
- name: Run test_ops
shell: bash
run: |
python -c "from tinygrad import Device; assert Device.DEFAULT == 'NULL'"
DEBUG=4 python3 test/backend/test_ops.py TestOps.test_add
python -m pytest -n=auto test/backend/test_ops.py --durations=20
- name: Run test_ops (IMAGE)
if: matrix.backend == 'ir3'
shell: bash
env:
IMAGE: 1
DEV: "NULL:IR3:a630,IMAGE_PITCH_ALIGNMENT=64"
run: |
DEBUG=4 python3 test/backend/test_ops.py TestOps.test_gemm | grep image_load
python -m pytest -n=auto test/backend/test_ops.py --durations=20
+45
View File
@@ -0,0 +1,45 @@
import unittest
from tinygrad import UOp, dtypes
from tinygrad.uop.ops import shape_to_shape_arg, ParamArg, Ops, AddrSpace
def placeholder(shape, dtype, slot):
return UOp(Ops.PARAM, dtype, (shape_to_shape_arg(shape),), arg=ParamArg(slot, AddrSpace.GLOBAL))
class TestBitcastSpec(unittest.TestCase):
def test_bitcast_no_shape_change(self):
pl = placeholder((10,10), dtypes.int, 0)
out = pl.bitcast(dtypes.float)
self.assertEqual(out.shape, (10,10))
def test_bitcast_increase_shape(self):
pl = placeholder((10,10), dtypes.int, 0)
out = pl.bitcast(dtypes.short)
self.assertEqual(out.shape, (10,20))
def test_bitcast_decrease_shape(self):
pl = placeholder((10,10), dtypes.int, 0)
out = pl.bitcast(dtypes.long)
self.assertEqual(out.shape, (10,5))
def test_bitcast_remove_ones(self):
pl = placeholder((10,2), dtypes.int, 0)
out = pl.bitcast(dtypes.long)
self.assertEqual(out.shape, (10,1))
def test_bitcast_remove_ones_full(self):
pl = placeholder((2,), dtypes.int, 0)
out = pl.bitcast(dtypes.long)
self.assertEqual(out.shape, (1,))
def test_bitcast_add_ones_full(self):
pl = placeholder((), dtypes.long, 0)
out = pl.bitcast(dtypes.int)
self.assertEqual(out.shape, (2,))
def test_bitcast_add_ones_full_uchar(self):
pl = placeholder((), dtypes.long, 0)
out = pl.bitcast(dtypes.uchar)
self.assertEqual(out.shape, (8,))
if __name__ == '__main__':
unittest.main()
+1 -22
View File
@@ -13,18 +13,12 @@ V_TOKS = UOp.variable("toks", 1, 32) # 32 is the default chunk_size in generate
class TestTransformerGenerate(unittest.TestCase):
def test_warmup(self):
model, calls = Transformer(TEST_CONFIG), []
def generate(tokens, **kwargs):
def generate(tokens):
calls.append(tokens)
yield from (1, 2)
with patch.object(model, "generate", generate): model.warmup()
self.assertEqual(calls, [[0], [0]])
def test_warmup_then_generate_with_default_chunk(self):
# warmup must not capture JIT graphs that generate()'s default chunk_size then rejects
model = Transformer(TEST_CONFIG)
model.warmup()
self.assertIsInstance(next(model.generate([5, 6, 7, 8])), int)
def test_first_recurrent_generate_before_state_init(self):
model = Transformer(TEST_CONFIG)
model.has_recurrent_block = True
@@ -44,15 +38,6 @@ class TestTransformerGenerate(unittest.TestCase):
next(model.generate([1, 2, 3, 4, 5, 42, 10]))
self.assertEqual(calls, [((1, 1), V_START_POS.bind(5)), ((1, 1), V_START_POS.bind(6))])
def test_recurrent_divergent_prompt_restarts(self):
model, calls = Transformer(TEST_CONFIG), []
model.has_recurrent_block, model._cached_tokens = True, [1, 2, 9]
def mock_call(self, tokens, start_pos, temperature):
calls.append(start_pos)
return Tensor([[42]])
with patch.object(Transformer, '__call__', mock_call): next(model.generate([1, 2, 10, 11]))
self.assertEqual(calls[0], V_START_POS.bind(0))
def test_template_starts_reasoning(self):
router = StreamRouter(reasoning=True)
self.assertEqual(list(router.route("reasoning</think>answer")),
@@ -193,12 +178,6 @@ class TestTransformerGenerate(unittest.TestCase):
# with temperature=2.0, we should see at least 2 distinct outputs across 5 runs
self.assertGreater(len(runs), 1, "high temperature should produce varied outputs")
def test_recurrent_temperature_high_produces_variety(self):
model = Transformer(TEST_CONFIG)
model.has_recurrent_block = True
outputs = {model.forward(Tensor([[1]]), 0, Tensor([2.0])).item() for _ in range(5)}
self.assertGreater(len(outputs), 1)
def test_temperature_passed_to_forward(self):
"""Temperature from generate should be passed through to __call__."""
model = Transformer(TEST_CONFIG)
+8 -13
View File
@@ -1,7 +1,7 @@
from __future__ import annotations
import functools, itertools, pathlib
from dataclasses import dataclass, replace
from tinygrad import Tensor, nn, UOp, TinyJit, getenv, function, dtypes
from tinygrad import Tensor, nn, UOp, TinyJit, getenv, function
from tinygrad.nn import Linear
from tinygrad.llm.gguf import gguf_load
from tinygrad.uop.ops import resolve
@@ -187,8 +187,8 @@ class TransformerBlock(FFNBlock):
def _init_state(self, x:Tensor):
if not hasattr(self, "cache_kv"):
self.cache_kv = Tensor.empty(2, x.shape[0], self.config.n_kv_heads, self.config.max_context, self.config.head_dim,
dtype=dtypes.default_float, device=x.device)
# TODO: how is the dtype of this determined?
self.cache_kv = Tensor.empty(2, x.shape[0], self.config.n_kv_heads, self.config.max_context, self.config.head_dim, device=x.device)
self.freqs_cis = precompute_freqs_cis(self.config.rope_dim, self.config.max_context, self.config.rope_theta, device=x.device)
class MLATransformerBlock(FFNBlock):
@@ -261,14 +261,13 @@ class GatedDeltaNetBlock(FFNBlock):
def _attention(self, x:Tensor, start_pos:int|UOp) -> Tensor:
B, T, _ = x.shape
assert T == 1, "GatedDeltaNetBlock currently only supports T=1"
is_kda = hasattr(self, "ssm_g_a")
# input processing
x = x.half()
out_gate = self.ssm_g_b(self.ssm_g_a(x)) if is_kda else self.attn_gate(x)
out_gate = self.ssm_g_b(self.ssm_g_a(x)) if hasattr(self, "ssm_g_a") else self.attn_gate(x)
out_gate = out_gate.reshape(B, 1, self.num_v_heads, self.head_v_dim)
beta = self.ssm_beta(x).sigmoid().reshape(B, self.num_v_heads, 1, 1)
alpha = self.ssm_f_b(self.ssm_f_a(x)) if is_kda else self.ssm_alpha(x)
alpha = self.ssm_f_b(self.ssm_f_a(x)) if hasattr(self, "ssm_f_a") else self.ssm_alpha(x)
alpha = ((alpha.float() + self.ssm_dt["bias"]).softplus().reshape(B, self.num_v_heads, -1) *
self.ssm_a.reshape(1, self.num_v_heads, -1)).exp().unsqueeze(-2)
@@ -292,13 +291,14 @@ class GatedDeltaNetBlock(FFNBlock):
# output
core_attn_out = self.ssm_norm((recurrent_state@q).squeeze(-1).reshape(B, 1, self.num_v_heads, self.head_v_dim))
out_gate = out_gate.sigmoid() if is_kda else out_gate.silu()
out_gate = out_gate.sigmoid() if hasattr(self, "ssm_g_a") else out_gate.silu()
return self.ssm_out((core_attn_out * out_gate).reshape(B, 1, -1).cast(x.dtype))
# recurrent state can't be partially reused after divergence, force a full rebuild
def _state_reset_ops(self):
return [self.conv_state.assign(self.conv_state.const_like(0)),
self.recurrent_state.assign(self.recurrent_state.const_like(0))] if hasattr(self, "conv_state") else []
def _reusable_prefix_len(self, prefix_len:int, cached_len:int) -> int: return 0 if prefix_len != cached_len else prefix_len
def _init_state(self, x):
if not hasattr(self, "conv_state"):
@@ -326,8 +326,7 @@ class Transformer:
def forward(self, tokens:Tensor, start_pos:int|UOp, temperature:Tensor) -> Tensor:
x = self.token_embd(tokens).float() # (B, T, D)
for block in self.blk: x = block(x, start_pos)
# only run the output projection on the last token
logits = self.output(self.output_norm(x[:, -1:]))[:, -1, :]
logits = self.output(self.output_norm(x))[:, -1, :]
# Gumbel-max trick: argmax(logits/temp - log(-log(uniform))) is equivalent to sampling from softmax(logits/temp)
return (logits / temperature.maximum(1e-12) - (Tensor.rand_like(logits).maximum(1e-12).log().neg()).log()).argmax(-1, keepdim=True)
@@ -421,10 +420,6 @@ class Transformer:
for _ in range(2): list(zip(range(2), self.generate([0])))
def get_start_pos(self, tokens:list[int]) -> int:
# recurrent state can't be partially reused after divergence: reuse it only when tokens extend the cached prefix
if self.has_recurrent_block:
return len(self._cached_tokens) if self._cached_tokens and len(self._cached_tokens) < len(tokens) \
and tokens[:len(self._cached_tokens)] == self._cached_tokens else 0
prefix_len = sum(1 for _ in itertools.takewhile(lambda ab: ab[0] == ab[1], zip(tokens[:-1], self._cached_tokens)))
return min(block._reusable_prefix_len(prefix_len, len(self._cached_tokens)) for block in self.blk)
+4 -22
View File
@@ -1,6 +1,6 @@
import ctypes, struct, platform, pathlib, subprocess, sys
import ctypes, struct
from tinygrad.device import Compiler
from tinygrad.helpers import DEBUG, system, fetch, unwrap
from tinygrad.helpers import DEBUG, system
from tinygrad.runtime.support.compiler_mesa import disas_adreno
# see https://github.com/sirhcm/tinydreno
from tinygrad.runtime.autogen import llvm_qcom
@@ -10,14 +10,10 @@ def _read_lib(lib, off) -> int: return struct.unpack("I", lib[off:off+4])[0]
class QCOMCompiler(Compiler):
def __init__(self, arch:str):
assert arch.split(',')[0] == "a630", "only a630 supported"
if platform.machine() == "aarch64": self.arch, self.chip_id, self.llvm_inst = arch, 0x6030001, llvm_qcom.cl_compiler_create_llvm_instance()
else: self.arch, self.chip_id, self.compiler_process = arch, 0x6030001, subprocess.Popen(
(f"docker run --rm -i --platform linux/aarch64 -e PYTHONPATH=/ -e QEMU_CPU=max,pauth=off -v {pathlib.Path(__file__).parents[2]}:/tinygrad "
f"-v {fetch('https://github.com/sirhcm/tinydreno/raw/refs/heads/master/libllvm-qcom.so')}:/lib/libllvm-qcom.so python:3.12-slim "
f"python /tinygrad/runtime/support/compiler_qcom.py {arch}").split(), stdout=subprocess.PIPE, stdin=subprocess.PIPE, bufsize=0)
self.arch, self.chip_id, self.llvm_inst = arch, 0x6030001, llvm_qcom.cl_compiler_create_llvm_instance()
super().__init__(f"compile_qcomcl_{arch}")
def __del__(self): llvm_qcom.cl_compiler_destroy_llvm_instance(self.llvm_inst) if platform.machine() == "aarch64" else self.compiler_process.kill()
def __del__(self): llvm_qcom.cl_compiler_destroy_llvm_instance(self.llvm_inst)
def __reduce__(self): return QCOMCompiler, (self.arch,)
@@ -29,10 +25,6 @@ class QCOMCompiler(Compiler):
return handle
def compile(self, src) -> bytes:
if platform.machine() != "aarch64":
unwrap(self.compiler_process.stdin).write(struct.pack("I", len(src.encode())) + src.encode())
if (lib:=unwrap(self.compiler_process.stdout).read(struct.unpack("I", unwrap(self.compiler_process.stdout).read(4))[0])): return lib
raise RuntimeError("QCOM Compilation Error")
ch = self.checked(llvm_qcom.cl_compiler_compile_source(self.llvm_inst, self.chip_id, llvm_qcom.CL_MODE_64BIT, b"", 0, 0, 0, src.encode(), 0,
llvm_qcom.CL_SRC_STR, None))
if DEBUG >= 8: print(system("llvm-dis", input=ctypes.string_at((comp:=ch.contents.compiled.contents).llvm_bitcode, comp.llvm_bitcode_size)))
@@ -44,13 +36,3 @@ class QCOMCompiler(Compiler):
return ret
def disassemble(self, lib: bytes): disas_adreno(lib[(ofs:=_read_lib(lib, 0xc0)):ofs+_read_lib(lib, 0x100)], self.chip_id)
if __name__ == "__main__":
compiler = QCOMCompiler(sys.argv[1])
while (amt:=sys.stdin.buffer.read(4)):
try: lib = compiler.compile(sys.stdin.buffer.read(struct.unpack("I", amt)[0]).decode())
except Exception as e:
lib = b""
print(e, file=sys.stderr, flush=True)
sys.stdout.buffer.write(struct.pack("I", len(lib)) + lib)
sys.stdout.buffer.flush()