chenyu and GitHub
a60b5f77ac
fix torch backend out= into a view ( #17210 )
2026-07-25 21:04:42 -04:00
chenyu and GitHub
076b37e1ae
failing batch norm test ( #17206 )
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* failing batch norm test
running stats does not schedule in training now since there's no reader
* not that
2026-07-25 18:46:49 -04:00
chenyu and GitHub
f902513355
derive torch backend dispatch from the aten schema ( #17203 )
2026-07-25 14:21:38 -04:00
chenyu and GitHub
983ad3bd95
fix torch backend batchnorm backward ( #17201 )
2026-07-25 13:15:09 -04:00
chenyu and GitHub
9f78504304
checked cast in torch backend unwrap ( #17199 )
2026-07-25 12:34:08 -04:00
chenyu and GitHub
8a10892f5a
fix torch backend as_strided ( #17195 )
...
0 means 0 offset
2026-07-25 02:24:17 -04:00
chenyu and GitHub
4c58b260fb
less wrong calculate_storage_offset ( #17194 )
...
initially for speed, then realized it's just wrong
2026-07-25 01:53:54 -04:00
chenyu and GitHub
9970a0aad0
fix Tensor << Tensor for x86 ( #17082 )
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* fix Tensor << Tensor for x86
* torch
2026-07-19 12:31:05 -04:00
sirhcm and GitHub
c759301865
ci: cleanup torch backend tests ( #16750 )
2026-06-25 14:39:36 -04:00
George Hotz and GitHub
aef85ddc4d
addrspace special/range ( #16647 )
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* addrspace special/range
* just include indexing
* define var is alu
* bring old ignore indexing back
* mults to fix
* fixes
* ALU
* fixes
2026-06-17 15:57:37 -07:00
George Hotz and GitHub
7e6d617935
addrspace cleanups ( #16565 )
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* addrspace cleanups
* bumps
* eh, relax a little
2026-06-10 15:57:18 -07:00
chenyu and GitHub
2c915c61ed
no CONST(DEVICE) in torch_backend ( #16499 )
2026-06-04 00:26:47 -04:00
chenyu and GitHub
8a4203638a
make full with buffer=False deviceless ( #16483 )
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affects arange and eye
2026-06-03 12:35:59 -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
sirhcm and GitHub
434cfa96a3
ci: no fetch in backend tests ( #16438 )
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should make for less actions cache thrashing
2026-05-29 17:11:16 -04:00
George Hotz and GitHub
edca5df25a
flip offset and shape in pad and shrink ( #16414 )
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* flip offset and shape in pad and shrink
* dumb test
2026-05-28 11:58:19 -07:00
George Hotz and GitHub
8ee3a37524
shrink/pad use (new_shape, offset) ( #16405 )
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* shrink uses offset and shape
* pad does too
* fix
2026-05-27 15:13:08 -07:00
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
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
31424cda71
Tensor.requires_grad -> is_param ( #16325 )
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for optimizer
2026-05-21 19:39:57 -04:00
chenyu and GitHub
409bb0c9ad
requires_grad cannot be None ( #16212 )
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final goal is to remove requires_grad, first change the default to True, and don't allow None
2026-05-15 02:01:04 -04:00
chenyu and GitHub
3942a80f66
fix wrong kwargs passed into rands ( #16149 )
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working towards explicit args for these
2026-05-11 22:22:06 -04:00
Vikram Rangarajan and GitHub
effa263865
Torch backend aten::cat.out fix ( #16121 )
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* Handle empty 1D tensors in cat_out
* Undid other changes
* Fixed torch cat
* Improved cat.out, added more tests
* Cleaned code
* Type hinted dim
* Removed whitespace
2026-05-11 16:28:16 -07:00
George Hotz and GitHub
d1cce7a476
put the ranges on store instead of after ( #15759 )
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* put the ranges on store instead of after
* better assert
* fix stuff
* comment out slow rules i don't understand
* simpler rule
* closer
* return false for store
* fix loop
* only a few schedule failures remain
* remove stores to self
* all tests pass locally
* remove junk
* regression test and fix
* better test, bump broken torch count
* bugfix with regression test
* new fusion is better
2026-04-16 19:06:40 +08:00
chenyu and GitHub
1483f7e71c
support shift by Tensor ( #15623 )
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* support shift by Tensor
* use mixin
2026-04-06 15:14:57 -04:00
chenyu and GitHub
6e30a5f5ea
update shifts in torch backend ( #15622 )
2026-04-06 14:08:33 -04:00
wozeparrot and GitHub
b45edeb965
fix: rand supports large tensors ( #15329 )
2026-03-17 15:45:41 -07:00
chenyu and GitHub
842c978df3
remove staticmethod dtypes.max/min ( #15227 )
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always use x.dtype.max/min
2026-03-11 23:11:24 -04:00
Roelof van Dijk and GitHub
d65923bda5
tensor.py: add normalize function ( #15159 )
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* tensor.py: add normalize function
* p==0 should match torch
2026-03-05 18:55:53 +08:00
chenyu and GitHub
71f228f80f
test exact kernel count in torch_backend/test_kernel_fusion ( #15091 )
2026-03-02 14:26:32 -05:00
George Hotz and GitHub
8ef5544e4a
realized PYTHON copies ( #14934 )
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* realized PYTHON copies
* comment that out
* fix that test
* append afters
* contig
* disk copies
* should be 124
* 332
2026-02-21 20:29:31 +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
chenyu and GitHub
9052db678f
remove allow_shape_mismatch in Tensor.replace ( #14536 )
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move all logic to torch_backend and not hacking Tensor method
2026-02-04 12:38:18 -05:00
chenyu and GitHub
67f91e897b
UOp.is_contiguous -> UOp.has_buffer_identity [pr] ( #14530 )
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one more confusing buffer related method, but it's definitely not is_contiguous
2026-02-04 09:21:26 -05:00
chenyu and GitHub
e3601788fa
update torch backend function ( #14333 )
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those have tensor.py implementation
2026-01-25 16:39:34 -05:00
chenyu and GitHub
986e865830
fix TINY_BACKEND=1 cumsum ( #14138 )
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* 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
chenyu and GitHub
fe00682502
clean up svd tests ( #14133 )
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removed from test_ops and added to TestTorchBackend
2026-01-13 16:32:21 -05:00
chenyu and GitHub
e610821c52
Tensor.cummin and Tensor.nonzero ( #14131 )
2026-01-13 15:09:56 -05:00
chenyu and GitHub
176a934ddd
Tensor.diagonal support offset and dims ( #14130 )
2026-01-13 14:49:06 -05:00
chenyu and GitHub
2a217ba206
tinybackend isin and log10 ( #14120 )
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can use tinygrad directly
2026-01-13 14:14:09 -05:00
chenyu and GitHub
05fcb57696
also return index in Tensor.cummax ( #14117 )
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* also return index in Tensor.cummax
* fix
2026-01-12 22:42:10 -05:00
Roelof van Dijk and GitHub
1058748440
torch backend: no aten.detach for torch 2.10 compat ( #13381 )
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* this works, less cpp?
* simpler = better
* keep torch 2.9 working as well
2025-11-20 09:12:15 -08:00
0dc2ff431d
fix: revive torch backend ( #13280 )
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* fix: revive torch backend
* as_strided view vs copy
* Revert "as_strided view vs copy"
This reverts commit 82a61223f2 .
* add extra tests (move inplace, add fusion tests)
* better fusion with inplace_op
* no optimizer hooks (break mnist training fusion)
* split off fusion tests in separate file, assert on resnet fusion
fix: remove comments
* cleanup, reduce diff
* reduce diff
* better fusion and identity checks
---------
Co-authored-by: George Hotz <[email protected] >
2025-11-19 15:26:50 -08:00
d65bd669f8
update tiny torch backend hook ( #12575 )
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* update the backend to fix torch deprecation warning
* use param_hook to avoid full backward hook needlessly firing on inputs which do not require gradients
* fix indentation
---------
Co-authored-by: chenyu <[email protected] >
2025-10-15 14:02:33 -04:00
George Hotz and GitHub
fb61f3519f
remove assign contiguous hack ( #12659 )
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* remove assign contiguous hack
* remove bad contiguous usage in torch backend
* assign
2025-10-14 16:42:14 +08:00
chenyu and GitHub
e701106a64
remove FUSE_ARANGE ( #12511 )
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it was the default already
2025-10-08 04:54:07 -04:00
George Hotz and GitHub
0f25b4b289
move frontend dir to nn [pr] ( #12470 )
2025-10-07 10:42:22 +08:00