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
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.gitignore	torch backend works for ResNet-18 (#9200)	2025-02-22 22:16:23 +08:00
backend.py	Enhance tensor random functions with dtype support (#10214)	2025-05-08 20:48:07 -04:00
backend2.py	torch and numpy dtype interop [pr] (#9224)	2025-02-24 18:26:49 +08:00
example.py	run some tests from torch [pr] (#9252)	2025-02-26 15:42:22 +08:00
test.py	Enhance tensor random functions with dtype support (#10214)	2025-05-08 20:48:07 -04:00
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
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