XingyuandGitHub 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

..

.gitignore

torch backend works for ResNet-18 (#9200)

2025-02-22 22:16:23 +08:00

backend2.py

torch and numpy dtype interop [pr] (#9224)

2025-02-24 18:26:49 +08:00

backend.py

Enhance tensor random functions with dtype support (#10214)

2025-05-08 20:48:07 -04:00

example.py

run some tests from torch [pr] (#9252)

2025-02-26 15:42:22 +08:00

test_compile.py

start torch.compile support (#9279)

2025-02-27 10:29:51 +08:00

test_inplace.py

better fix inplace detach (#9557)

2025-03-24 22:50:28 +08:00

test_multigpu.py

torch backend multigpu - add devices and tests (#9414)

2025-03-12 11:33:11 +08:00

test.py

Enhance tensor random functions with dtype support (#10214)

2025-05-08 20:48:07 -04:00

torch_tests.py

rig up torch's testing framework [pr] (#9254)

2025-02-26 18:46:22 +08:00

wrapped_tensor.cpp

torch backend: partial fix for strided related test fails (#9642)

2025-03-31 05:45:18 -04:00