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Author SHA1 Message Date
chenyu
4fe19eec72
 		Ops.TRUNC (#11659) 2025-08-13 18:40:48 -04:00
chenyu
0c97d6de1b
 		don't round pow output for int pow int (#11625) 
also added atol=0 and big pows for the tests
 2025-08-11 20:57:47 -04:00
chenyu
d623f6d850
 		support int Tensor pow to const non-negative int (#11624) 
matches torch
 2025-08-11 19:50:19 -04:00
chenyu
a67e0917c3
 		list indexing can normalize in python (#11609) 
* list indexing can normalize in python

list index does not need to be normalized in tensor

* update those
 2025-08-10 20:02:38 -04:00
chenyu
1181ec0cd2
 		few more tensor indexing test cases (#11608) 2025-08-10 18:56:42 -04:00
chenyu
dfb702ef33
 		fix sort for small dim (#11601) 
* fix sort for small dim

* fixed test_sort_empty
 2025-08-10 01:17:41 -04:00
chenyu
aa1a6f2132
 		support threshold in Tensor.softplus (#11564) 
fix gradient for large input
 2025-08-07 13:43:18 -04:00
chenyu
dbc7807c61
 		enable WEBGPU tests with buffer limit (#11489) 
TestSample still fails?
 2025-08-03 13:02:44 -07:00
chenyu
2d7c28de6a
 		clean up dup lambdas in helper_test_exception (#11325) 2025-07-22 12:21:57 -04:00
chenyu
fb42c84365
 		merge TestRollEdgeCases into test_ops (#11321) 2025-07-22 10:55:57 -04:00
chenyu
1d8b3e9d1c
 		movementop only Tensor.roll (#11317) 
* movementop only Tensor.roll

* fixed
 2025-07-22 10:34:15 -04:00
chenyu
6e9506e6fd
 		Tensor.roll supports dims=None (#11313) 2025-07-21 17:29:23 -04:00
chenyu
d3a93185a6
 		clean up test_roll (#11312) 2025-07-21 16:00:50 -04:00
chenyu
341a686799
 		Tensor.diagonal (#11122) 
only implemented main diagonal for 2-D tensors. with diagonal and qr, we can get determinant
 2025-07-07 16:21:26 -04:00
Nino Risteski
a1a146a499
 		adding enable_gqa in SDPA (#11097) 
Co-authored-by: wozeparrot <wozeparrot@gmail.com>
 2025-07-06 23:25:33 -07:00
chenyu
7468959f4b
 		Tensor.argsort (#11112) 2025-07-06 13:56:35 -04:00
kevvz
b7af9cf849
 		clean svd tests, set full_matrices false in torch backend (#11113) 
* clean tests, set full_matrices false

* add more shape asserts
 2025-07-06 13:55:49 -04:00
chenyu
ba88ec3ad0
 		pipe linalg svd to torch (#11109) 
and found a bug in svd
 2025-07-06 08:37:25 -04:00
chenyu
845a4d32bc
 		Tensor.diag (#11108) 
also updated Tensor.eye to use it
 2025-07-05 23:03:02 -04:00
ttomsa
4905af4ae0
 		remove invalid int div test (#11106) 
* rm test

* also rm this
 2025-07-05 18:57:55 -04:00
chenyu
a2f5a54458
 		move sparse_categorical_crossentropy to test_ops (#11083) 
also flattened the tests
 2025-07-03 21:40:54 -04:00
chenyu
678cabc6f2
 		use argfix in Tensor.stack (#11077) 
works for multiple Tensor args or single tuple/list of Tensors, but not the mixed
 2025-07-03 12:15:11 -04:00
Ahmed Harmouche
e992ed10dc
 		WebGPU on Windows (#10890) 
* WebGPU on Windows

* Fix dawn-python install

* New test

* pydeps

* Minor fix

* Only install dawn-python on windows webgpu

---------

Co-authored-by: George Hotz <72895+geohot@users.noreply.github.com>
 2025-07-02 08:38:45 -07:00
chenyu
126fcf4129
 		clean up AMD_LLVM in tests (#11021) 2025-06-28 22:45:47 -04:00
chenyu
49bba2f0a0
 		improve test_nll_loss (#10986) 
build target and weight tensors outside so it tests backward too.
 2025-06-26 02:46:55 -04:00
chenyu
0612acfc70
 		improve Tensor.cross_entropy (#10985) 
separate when Y is prob vs indices and check shapes for indices. also fix higher dim cases
 2025-06-26 01:39:48 -04:00
chenyu
18e264a449
 		Tensor.logsigmoid (#10955) 2025-06-24 11:16:14 -04:00
chenyu
35504c938e
 		torch.clip(x,y) -> x.clip(y) in test_ops (#10954) 
* torch.clip(x,y) -> x.clip(y) in test_ops

* test_binary_crossentropy_logits_pos_weights
 2025-06-24 10:22:19 -04:00
Fang-Pen Lin
86d458533f
 		Add pos_weight for binary_crossentropy_logits (#10855) 
* Add pos_weight for binary_crossentropy_logits

* Remove debug code

* Code style

* Code style

* Rename
 2025-06-24 09:42:37 -04:00
chenyu
2d9c61e39e
 		test more dims in test_logsumexp and test_logcumsumexp (#10907) 
refactoring squeeze and unsqueeze is easy to get wrong
 2025-06-20 21:42:18 -04:00
Nino Risteski
3771cc0f77
 		fix test logcumsumexp broken devectorize=0 (#10880) 
* fix test logcumsumexp numerical

* lint

* Use dtypes.min instead of -1e4
 2025-06-20 20:54:50 -04:00
George Hotz
a493eb396c
 		fix view add 0 (#10840) 2025-06-16 16:46:12 -07:00
chenyu
e5d5ae55f9
 		smaller inputs for test_sort and test_topk (#10829) 2025-06-16 00:21:15 -04:00
chenyu
7a6df0a161
 		remove .relu() call in several conv tests in test_ops (#10807) 
* remove .relu() call in several conv tests in test_ops

testing negative parts double the effectiveness. keep the relu between two convs and the tests that explicitly test relu

* relax tol
 2025-06-13 17:10:16 -04:00
George Hotz
81b9c04574
 		move high level stuff to unit tests [pr] (#10708) 
* move high level stuff to unit tests [pr]

* process replay on unit tests

* fix pr, less compute

* set omp num threads

* set 200MB buffer size limit

* delete junk

* fix tests

* faster

* move test_indexing to unit

* faster
 2025-06-08 14:05:56 -07:00
George Hotz
8c76250d31
 		speed up a few tests (#10692) 2025-06-07 20:39:25 -07:00
ihar
74b849b5e1
 		remove unnecessary 'argfix' because 'view' is an alias to 'reshape'. all functionality must be inside 'reshape' (#10677) 
* remove unnecessary 'argfix' because 'view' is an alias to 'reshape'. all functionality must be inside 'reshape'

* added the same set of unit tests for 'view' as for 'reshape' since 'view' is just an alias for 'reshape'

* improved tests for 'view' op
 2025-06-07 22:15:31 -04:00
chenyu
ff1aad7b69
 		fix const float pow to int tensor (#10655) 
was incorrectly casted into int
 2025-06-05 19:15:12 -04:00
geohotstan
602a145f8f
 		Add Tensor.unfold (#10518) 
* yoinked 10272

* eitanturok's fixes

* hmmm should size be sint?

* add test
 2025-05-26 11:15:44 -04:00
chenyu
7bfb20757c
 		fix tensor int floor div (#10327) 
* fix tensor int floor div

* test_float_floordiv_scalar
 2025-05-21 06:46:54 -04:00
chenyu
145e51247a
 		split CAST and BITCAST in PYTHON [pr] (#10123) 
CAST only needs truncate and does not require dtype fmt. added bfloat16 tests can run locally
 2025-04-30 23:27:35 -04:00
George Hotz
11113c9d07
 		reduce_unparented (#10056) 2025-04-26 09:48:16 -04:00
George Hotz
78caf55154 Revert "FP8 support on NVIDIA (#8631)" 
This reverts commit 2c8e4ea865.
 2025-04-09 12:27:41 +08:00
George Hotz
d1505137ad Revert "move TestOpsFp8s skipTest (#9797)" 
This reverts commit a3aaf92b21.
 2025-04-09 12:27:40 +08:00
chenyu
a3aaf92b21
 		move TestOpsFp8s skipTest (#9797) 
so get_available_devices is not called when running other tests
 2025-04-08 22:44:07 -04:00
pkotzbach
2c8e4ea865
 		FP8 support on NVIDIA (#8631) 
* squashed fp8 commits

* tensorcore start

* minor changes

* pre-commit

* pylint

* Delete fp8mul.cu

* clean

* small bugfix

* fix test_dtype

* fix test_dtype_alu

* add EMULATE_CUDA_SM89

* fix ci

* fix test_linearizer

* fix test_linearizer

* fix swizzle

* add debug to simple_matmul

* fixed swizzle

* python emulator

* refactor python emulator

* setup fix

* numpy setup

* ml_dtypes only in emulate_cuda_sm89

* fix pylint

* fix tests

* fix mypy

* fix mypy

* fix ruff

* done python emulator

* add acc type

* tests

* mypy

* clean code

* add cuda tensor core tests to CI

* minor fix

* clean test_dtype.py

* clean cstyle.py

* clean test_ops.py

* fix test

* fix test

* whitespaces

* pylint

* pylint

* amd?

* amd?

* amd

* reduce lines

* mockgpu remove

* fix

* ruff

* ruff

* fix mypy

* ruff

* test only for cuda

* fixed formatting

* small fixes

* small fix

* least_upper_dtype if fp8s not supported

* log and reciprocal are supported for fp8s

* ops python fixes

* dtypes.fp8s use

* e4m3 + e5m2 result dtype test

* truncate linter fix

---------

Co-authored-by: pkotzbach <pawkotz@gmail.com>
Co-authored-by: George Hotz <72895+geohot@users.noreply.github.com>
Co-authored-by: chenyu <chenyu@fastmail.com>
 2025-04-08 21:54:04 -04:00
chenyu
3b8d923692
 		remove skip LLVM in test_div_int (#9686) 2025-04-02 04:15:00 -04:00
chenyu
0e34f9082e
 		helper functions for cstyle div mod [pr] (#9673) 2025-04-01 08:06:56 -04:00
Yvon Manzi
6652003839
 		Add cumprod to Tensor (#9629) 
* probably how cumprod should look like

* update _cumalu to work with MUL

* shorter

* cumprod testing

* clean

* more cleanup

* add cumprod to torch backend.

* make it look like cumsum

* mypy fix

---------

Co-authored-by: chenyu <chenyu@fastmail.com>
 2025-03-30 21:49:18 -04:00
b1tg
f90001e1a6
 		amd llvm render (no_comgr prereq) (#9543) 
* amd llvm render

* skip test_div_rounding_mode

---------

Co-authored-by: b1tg <b1tg@users.noreply.github.com>
 2025-03-24 22:50:51 +08:00