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94 commits

Author SHA1 Message Date
chenyu
2c915c61ed
 		no CONST(DEVICE) in torch_backend (#16499) 2026-06-04 00:26:47 -04:00
chenyu
8a4203638a
 		make full with buffer=False deviceless (#16483) 
affects arange and eye
 2026-06-03 12:35:59 -04:00
chenyu
7e7b481ba7
 		less CONST(DEVICE) (#16452) 
* 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
George Hotz
edca5df25a
 		flip offset and shape in pad and shrink (#16414) 
* flip offset and shape in pad and shrink

* dumb test
 2026-05-28 11:58:19 -07:00
George Hotz
8ee3a37524
 		shrink/pad use (new_shape, offset) (#16405) 
* shrink uses offset and shape

* pad does too

* fix
 2026-05-27 15:13:08 -07:00
chenyu
c33b767407
 		bring back test and torch backend change for unique const (#16403) 2026-05-27 15:16:08 -04:00
chenyu
945ed4f689
 		revert const unique changes (#16395) 2026-05-27 00:06:41 -04:00
chenyu
d861c50dce
 		remove unique_const (#16382) 2026-05-26 13:53:31 -04:00
chenyu
9b00defc8c
 		Revert "remove unique_const (#16372)" (#16380) 
This reverts commit 09019d6761.
 2026-05-26 12:30:07 -04:00
chenyu
09019d6761
 		remove unique_const (#16372) 
* remove unique_const

* fix SDWA thing

* that?
 2026-05-26 12:18:03 -04:00
chenyu
31424cda71
 		Tensor.requires_grad -> is_param (#16325) 
for optimizer
 2026-05-21 19:39:57 -04:00
chenyu
3942a80f66
 		fix wrong kwargs passed into rands (#16149) 
working towards explicit args for these
 2026-05-11 22:22:06 -04:00
Vikram Rangarajan
effa263865
 		Torch backend aten::cat.out fix (#16121) 
* 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
chenyu
1483f7e71c
 		support shift by Tensor (#15623) 
* support shift by Tensor

* use mixin
 2026-04-06 15:14:57 -04:00
chenyu
6e30a5f5ea
 		update shifts in torch backend (#15622) 2026-04-06 14:08:33 -04:00
chenyu
842c978df3
 		remove staticmethod dtypes.max/min (#15227) 
always use x.dtype.max/min
 2026-03-11 23:11:24 -04:00
Roelof van Dijk
d65923bda5
 		tensor.py: add normalize function (#15159) 
* tensor.py: add normalize function

* p==0 should match torch
 2026-03-05 18:55:53 +08:00
chenyu
9052db678f
 		remove allow_shape_mismatch in Tensor.replace (#14536) 
move all logic to torch_backend and not hacking Tensor method
 2026-02-04 12:38:18 -05:00
chenyu
67f91e897b
 		UOp.is_contiguous -> UOp.has_buffer_identity [pr] (#14530) 
one more confusing buffer related method, but it's definitely not is_contiguous
 2026-02-04 09:21:26 -05:00
chenyu
e3601788fa
 		update torch backend function (#14333) 
those have tensor.py implementation
 2026-01-25 16:39:34 -05:00
chenyu
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
chenyu
e610821c52
 		Tensor.cummin and Tensor.nonzero (#14131) 2026-01-13 15:09:56 -05:00
chenyu
176a934ddd
 		Tensor.diagonal support offset and dims (#14130) 2026-01-13 14:49:06 -05:00
chenyu
2a217ba206
 		tinybackend isin and log10 (#14120) 
can use tinygrad directly
 2026-01-13 14:14:09 -05:00
chenyu
05fcb57696
 		also return index in Tensor.cummax (#14117) 
* also return index in Tensor.cummax

* fix
 2026-01-12 22:42:10 -05:00
Roelof van Dijk
1058748440
 		torch backend: no aten.detach for torch 2.10 compat (#13381) 
* this works, less cpp?

* simpler = better

* keep torch 2.9 working as well
 2025-11-20 09:12:15 -08:00
Roelof van Dijk
0dc2ff431d
 		fix: revive torch backend (#13280) 
* 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 <72895+geohot@users.noreply.github.com>
 2025-11-19 15:26:50 -08:00
Daniel
d65bd669f8
 		update tiny torch backend hook (#12575) 
* 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 <chenyu@fastmail.com>
 2025-10-15 14:02:33 -04:00
George Hotz
fb61f3519f
 		remove assign contiguous hack (#12659) 
* remove assign contiguous hack

* remove bad contiguous usage in torch backend

* assign
 2025-10-14 16:42:14 +08:00
chenyu
12a910f1d2
 		update torch 2.8 (#12172) 
support _reshape_alias. something is wrong with one case of unfold
 2025-09-14 15:19:03 -04:00
chenyu
fb8ee02424
 		Tensor.logaddexp (#11793) 2025-08-23 09:15:00 -04:00
Joshua Kissoon
c44760c89d
 		torch backend: fix arange, add linalg.cross, add tests (#11628) 2025-08-11 23:34:41 -04:00
kevvz
c3cfcb50cb
 		Add linalg_det and test for torch backend (#11405) 
* add linalg_det and test

* space

---------

Co-authored-by: chenyu <chenyu@fastmail.com>
 2025-07-30 22:04:44 -04:00
वेदांत
e368628736
 		Add amin support to Tensor operations in Torch backend (#11290) 
* intiger div mod fix

* Revert "intiger div mod fix"

This reverts commit d5d2f201bf.

* feat arg_min support

* tets update

* test fix
 2025-07-21 09:14:08 -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
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
Utkarsh Gill
7f9958b632
 		Fix torch.linalg.diagonal crash due to invalid shrink in to_movement_ops (#10945) 
* fix as_strided shrink bug breaking torch.linalg.diagonal on tinygrad backend

* cleanup

* generic fix

* tests

* cmp with diagonal too

* oops

* move tests

* fix test

* remove unnecessary import

* fix assert

* compare against numpy

---------

Co-authored-by: Utkarsh Gill <engelbart@Utkarshs-MacBook-Pro.local>
 2025-06-24 15:36:06 -04:00
chenyu
18e264a449
 		Tensor.logsigmoid (#10955) 2025-06-24 11:16:14 -04:00
George Hotz
32e9949052
 		rename lazydata to uop (#10698) 2025-06-08 08:42:22 -07:00
Xingyu
7a1bfb668d
 		Implement linalg_eigh function for tensor eigenvalue decomposition in torch backend (#10612) 
* Implement private _linalg_eigh function for tensor eigenvalue decomposition in torch backend

* Add unit test for linalg.eigh function in TestTorchBackend

This test verifies the eigenvalue decomposition of a 2x2 tensor using the linalg.eigh function, ensuring the computed eigenvalues and reconstructed tensor match the expected results.
 2025-06-04 07:59:50 -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
George Hotz
411392dfb7
 		move files into uop dir (#10399) 
* move files into uop dir [pr]

* tinygrad.uop is a thing

* fix uop docs, no pr

* fix viz
 2025-05-18 11:38:28 -07:00
Xingyu
286b0f4051
 		Add equal function implementation and corresponding test (#10351) 
- Implemented a new function `equal` in the torch backend to compare two tensors for equality.
- Added unit tests for the `equal` function to verify its correctness with different tensor inputs.
 2025-05-16 23:39:49 -07:00
Xingyu
a21369d039
 		Enhance tensor random functions with dtype support (#10214) 
* Enhance tensor random functions with dtype support
- Updated `aten.uniform_` and `aten.normal_` to include dtype parameter in backend.py
- Added unit tests for uniform and normal tensor generation with specific dtypes in test.py

* Refactor test name for clarity
- Renamed `test_normal_dtype` to `test_normal` in `extra/torch_backend/test.py`
- Aims to improve readability and better reflect the test's purpose
 2025-05-08 20:48:07 -04:00
Nishant Rajadhyaksha
55942a8d8e
 		[Bounty] moved index_tensor off cpu in torch_backend (#9916) 
* moved index tensor off cpu in torch_backend

* added support for None based indexing

* fix_to_pass_tests

* fix segfault tests
 2025-04-24 14:12:37 -04:00
Park Jun
c3ad7b2a84
 		create randperm and support pytorch backend (#10019) 2025-04-24 07:29:02 -04:00
Matthew Daiter
b545338e59
 		isin_Tensor_out added (#10018) 2025-04-24 07:26:51 -04:00
qazal
e20ef7196a
 		Tensor.kernelize (#9845) 
* add kernelize

* remove that

* kernelize returns self

* update abstractions2.py

* kernelize in test_schedule

* temp: assert BUFFER_VIEW's existence

* ASSIGN must have a buffer or subbuffer target

* assert and shrink

* fix

* padded setitem

* var

* toposort once

* extra

* base_buffer

* end with BUFFER_VIEW

* setitem for disk

* test_setitem_becomes_subbuffer

* mul slice test

* torch backend fix 1

* non-deterministic

* keep subbuffer
 2025-04-20 20:53:49 +08:00
Xingyu
047c8fd70d
 		Add amax support to Tensor operations in Torch Backend (#9905) 
* Add amax support to Tensor operations
- Implemented amax function in backend.py for tensor max operations.
- Added unit tests for amax in test.py to ensure correct functionality.

* Fix formatting in amax output function
- Adjusted spacing in the amax output lambda function in backend.py
- Improved code readability for better maintenance
 2025-04-16 10:35:50 +01:00