George Hotz and GitHub
d4d537c8ae
add SPEC checking for the kernel graph ( #17432 )
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* add SPEC checking for the kernel graph
* skip test
* raise there, not None
* handwritten
* issue with unshard
* multi works
* and bitcast
* fix new tests
* fix linear
* remove call index
* fix shrink
* fixes
2026-08-08 10:00:06 -07:00
George Hotz and GitHub
46f0003776
more KernelCountException ( #17407 )
2026-08-04 22:55:38 -07:00
George Hotz and GitHub
e1f42681fa
add new schedule tests + format better ( #17402 )
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* add new schedule tests + format better
* assert_kernel_count
2026-08-04 18:46:38 -07:00
George Hotz and GitHub
6122b3c98f
use check_schedule in tests where possible ( #17400 )
2026-08-04 18:17:29 -07:00
chenyu and GitHub
ad24750487
const(value, dtype) -> const(value).cast(dtype) in tests ( #17335 )
2026-07-31 13:24:31 -04:00
chenyu and GitHub
23e9e76e8c
DEFAULT_FLOAT/DEFAULT_INT ContextVar [pr] ( #17265 )
2026-07-28 19:08:18 -04:00
Pol Puigdemont Plana and GitHub
ef77963cfd
derivative of logsumexp is independent of max ( #17088 )
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same as #7009 but for logsumexp and logcumsumexp.
fwd+bwd kernel count 5 -> 3 for both. gradients unchanged
(ties, -inf masks, torch-compared at grad_atol=1e-7).
2026-07-20 06:52:16 -07:00
George Hotz and GitHub
0035bb6fa8
only front reduce ( #16901 )
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* only front reduce
* lint + spec
* that should fail
* meh
2026-07-07 09:55:07 -07:00
George Hotz and GitHub
41d6731bfd
reduce removes ones ( #16847 )
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* reduce removes ones
* test changes
* lil clean
2026-07-03 13:10:08 -07:00
chenyu and GitHub
3a9b87e48f
remove Ops.DEVICE from Ops.PROGRAM [PR] ( #16797 )
2026-06-29 17:41:31 -04:00
chenyu and GitHub
33b635d23a
Tensor.train -> TRAINING [PR] ( #16705 )
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* Tensor.train -> TRAINING [PR]
* doc
2026-06-22 15:13:22 -04:00
sirhcm and GitHub
4d893f626a
move a bunch of test_schedule to null ( #16578 )
2026-06-11 20:26:34 -04:00
chenyu and GitHub
7e7b481ba7
less CONST(DEVICE) ( #16452 )
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* less CONST(DEVICE)
no DEVICE for single device in const_like, multi has other issues
* maybe
* that?
2026-06-01 15:55:12 -04:00
chenyu and GitHub
b7280705a7
limit CONST(UNIQUE) to invalids only ( #16432 )
2026-05-29 16:02:06 -04:00
chenyu and GitHub
c33b767407
bring back test and torch backend change for unique const ( #16403 )
2026-05-27 15:16:08 -04:00
chenyu and GitHub
945ed4f689
revert const unique changes ( #16395 )
2026-05-27 00:06:41 -04:00
George Hotz and GitHub
156a4438d9
rename BUFFER_VIEW to SLICE ( #16391 )
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* rename BUFFER_VIEW to SLICE
* fix comments
2026-05-26 18:15:00 -07:00
chenyu and GitHub
d861c50dce
remove unique_const ( #16382 )
2026-05-26 13:53:31 -04:00
chenyu and GitHub
9b00defc8c
Revert "remove unique_const ( #16372 )" ( #16380 )
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This reverts commit 09019d6761 .
2026-05-26 12:30:07 -04:00
chenyu and GitHub
09019d6761
remove unique_const ( #16372 )
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* remove unique_const
* fix SDWA thing
* that?
2026-05-26 12:18:03 -04:00
chenyu and GitHub
5d5e02871f
remove Tensor.from_uop ( #16344 )
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and no device for const in Tensor init
2026-05-24 18:53:09 -04:00
chenyu and GitHub
e694d7f222
more deviceless const prerequisites [pr] ( #16256 )
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* more deviceless const prerequisites [pr]
* remove that
* arange.contiguous -> arange.clone in tests
arange will become deviceless const soon, update tests where it needs to be a buffer
2026-05-18 23:14:12 -04:00
chenyu and GitHub
8631b6f17d
remove use of requires_grad in test/ ( #16237 )
2026-05-16 17:21:07 -04:00
wozeparrot and GitHub
d11f4d0ec2
fix: don't copy on slice of DP weight ( #16089 )
2026-05-07 17:58:01 -07:00
George Hotz and GitHub
5f441ecffc
unify reduce + reduce_axis ( #15973 )
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* unify reduce + reduce_axis
* fix all tests
* lil cleanups
2026-04-29 10:29:56 -07:00
nimlgen and GitHub
4164666c72
programinfo ( #15942 )
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* programinfo
* fix
* m
* x
* x
* changes
* x
* fix
* rm
2026-04-27 23:12:03 +03:00
nimlgen and GitHub
bb652352c7
remove execitem ( #15932 )
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* remove execitem
* f
* x
2026-04-25 19:33:04 +03:00
nimlgen and GitHub
a5e9ea7a60
remove schedule batch 4 ( #15927 )
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* remove schedule batch 4
* fini
2026-04-25 12:36:55 +03:00
nimlgen and GitHub
d3378010ee
schedule() -> schedule_linear() in tests (batch 1) ( #15915 )
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* schedule_with_vars -> linear_with_vars in tests
* tests batch 1
* batch 2
* estimate_uop
* simpler
* rm
2026-04-24 23:40:53 +03:00
nimlgen and GitHub
f2751955cb
remove linear_to_schedule from tests ( #15912 )
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* remove linear_to_schedule from tests
* x
2026-04-24 20:02:10 +03:00
nimlgen and GitHub
01ac1c8c15
remove all run_schedule from tests ( #15846 )
2026-04-21 12:02:10 +03:00
nimlgen and GitHub
23ca680a3a
run_linear ( #15784 )
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* run_linear try 2
* x
* f
* tests
* ctx, cleaner
* r
* x
2026-04-17 22:44:16 +03:00
chenyu and GitHub
8bd4fead26
UOp.size -> prod(max_shape) ( #15755 )
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and more test updates
2026-04-15 22:41:30 -04:00
chenyu and GitHub
10c262ced8
update tests that use UOp.size ( #15753 )
2026-04-15 21:58:27 -04:00
George Hotz and GitHub
4c1fb18a09
Revert "Revert "Tests for GatedDeltaNetBlock + fix multi after assign issue (…" ( #15703 )
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This reverts commit 0cec42db71 .
2026-04-13 19:09:38 +08:00
George Hotz and GitHub
0cec42db71
Revert "Tests for GatedDeltaNetBlock + fix multi after assign issue ( #15700 )" ( #15702 )
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This reverts commit 6f5d756282 .
2026-04-13 19:06:44 +08:00
George Hotz and GitHub
6f5d756282
Tests for GatedDeltaNetBlock + fix multi after assign issue ( #15700 )
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* broken after/assign test
* test for GatedDeltaNet
* better comments
* fix issue 1 with multi kernel
* fix 2
* fix
* linter
* public api + cleanup
2026-04-13 18:43:23 +08:00
chenyu and GitHub
4ac2552642
improve ReduceMixin.all ( #15544 )
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use prod instead of min since `mul` lowered to `and` directly
2026-03-31 07:54:27 -04:00
chenyu and GitHub
89ec22131a
tests to show double negation in min is not cancelled ( #15543 )
2026-03-31 06:59:13 -04:00
chenyu and GitHub
7c8f992894
move EXPAND dtype cast back to gradient.py ( #15481 )
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only a concern for gradient, not mixin
2026-03-25 19:25:26 -04:00
George Hotz and GitHub
5524916e39
llama compute gradients explicitly + 243 GB of RAM on MP=8 ( #15343 )
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* llama compute gradients explicitly
* apply grads
* fix multi issue
* multi BUFFER_VIEW support
* simpler
* skip the flaky test
2026-03-18 19:54:40 +08:00
sirhcm and GitHub
ffaafd391a
Invalid in Tensor ( #15154 )
2026-03-10 02:49:54 -04:00
sirhcm and GitHub
592f9bf6c6
set OPENPILOT_HACKS=1 to enable replace assign ( #15123 )
2026-03-04 05:26:04 -05:00
George Hotz and GitHub
d483e4153a
buffer view is like buffer ( #15082 )
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* buffer view is like buffer
* fix
* swap_reshape_shrink
* contiguous on gguf, fix overlap
* revert that
* _device_supports_view
* this
* fix that test
* 0 buffers
* that test was wrong
* this
* check correct size
* contig BUFFER_VIEW
* this
* fix tests
* buffer view tests
* om
* fix torch
* no MOCKGPU
* skip
2026-03-03 09:52:33 +08:00
chenyu and GitHub
14d1c5fdfd
assign fusion tests on detach and contiguous_backward ( #15092 )
2026-03-02 15:21:51 -05:00
chenyu and GitHub
d345f7f5dc
remove _pending_assigns ( #15040 )
2026-02-26 22:38:10 -05:00
qazal and GitHub
c5029fa460
jit case with Tensor.empty input, realized means allocated ( #14930 )
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* simple failing jit test case with Tensor.empty
* this used to exist in ops.py...
* Revert "removed if self.buffer.is_allocated() in realized (#14836 )"
This reverts commit 72cf603805 .
2026-02-21 16:33:55 +09:00
George Hotz and GitHub
df7774661a
remove late numbering of UOps ( #14923 )
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* remove late numbering of UOps
* stupid fix
* dead code
2026-02-21 09:18:48 +08:00
George Hotz and GitHub
55d3a5def9
preallocate all realized buffers ( #14823 )
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* preallocate all realized buffers
* contiguous
* work
* comment that out
* move to schedule
* better
* correct fix
* just buffer
* disk bufs
* fixes disk tensor stuff
* fix symbolic stuff
* fix multi
* 162 failures
* bugfixes
* don't check that anymore
* fix schedule tests
* mnist should be contiguious
* type and buffer
* fix tests
* shrink axis correction
* mypy fixes
* tests skips
* same 37 failures
* dedup
* no shrink in the graph
* 29 failures
* skips
* fix custom kernel
* fix training
* those optimizations aren't supported currently
* simpler
* more correct
* tests
* 14 failures
* works
* fix that test
* broken
* 11 failures
* only kernel counts left
* fixes
* all tests pass
* remove tensor_map
* op test
* 200 -> 230
* test fixes
* fixes
* revert test_tiny thing
* guard
* revert that
* test tiny passes
* no contigs there
* base realize back
* Revert "no contigs there"
This reverts commit c45bb9fcfd .
* revert that
* chop many assigns
* 12 failures
* fix tests
* tests
* apply after
* pre-commit
* remove old code
* delete that
* fix types
* remove extra contig
* fix dataloader
* torch fix
* disk fix
* update kernel fusion numbres
* runs on amd
* restore kernel count
* add that rule back
* that
* disable that
* wrong
* add the correct rule for that folding
* more tests
* guard c1.arg
* no newlines
* realize those
* split into a different file
* remove detach/contig back
* skip 2
* update that
2026-02-20 20:05:54 +08:00
George Hotz and GitHub
fc5677c28b
resnet dataloader + more test cleanups ( #14899 )
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* resnet dataloader
* tests
2026-02-20 10:05:47 +08:00