..
_expanded_weights
[BE] enable UFMT for torch/nn/utils ( #128595 )
2024-06-13 18:34:57 +00:00
__init__.py
[BE] enable UFMT for torch/nn/utils ( #128595 )
2024-06-13 18:34:57 +00:00
_deprecation_utils.py
[BE] enable UFMT for torch/nn/utils ( #128595 )
2024-06-13 18:34:57 +00:00
_named_member_accessor.py
Let dynamo inline functional_call ( #128646 )
2024-07-30 14:22:23 +00:00
_per_sample_grad.py
[BE] enable UFMT for torch/nn/utils ( #128595 )
2024-06-13 18:34:57 +00:00
clip_grad.py
Rewording doc string for clip_grad_norm_ ( #133406 )
2024-08-15 16:21:27 +00:00
convert_parameters.py
[BE] enable UFMT for torch/nn/utils ( #128595 )
2024-06-13 18:34:57 +00:00
fusion.py
Add proper casting to fuse_linear_bn_weights ( #134105 )
2024-08-22 14:26:12 +00:00
init.py
[BE] enable UFMT for torch/nn/utils ( #128595 )
2024-06-13 18:34:57 +00:00
memory_format.py
[docs] fix incorrect example in convert_conv3d_weight_memory_format ( #129318 )
2024-08-07 20:06:59 +00:00
parametrizations.py
[BE] enable UFMT for torch/nn/utils ( #128595 )
2024-06-13 18:34:57 +00:00
parametrize.py
Revert "[BE] typing for decorators - _jit_internal ( #131573 )"
2024-07-28 03:29:32 +00:00
prune.py
[BE][Easy] enable ruff rule PIE790: unnecessary pass statement ( #133200 )
2024-08-15 15:50:19 +00:00
rnn.py
docs: torch.nn.utils.rnn.pack_padded_sequence: docs improve ( #135417 )
2024-09-09 03:16:11 +00:00
spectral_norm.py
[BE] enable UFMT for torch/nn/utils ( #128595 )
2024-06-13 18:34:57 +00:00
stateless.py
Allow optional positional arguments for torch.func.functional_call ( #134643 )
2024-09-12 15:22:06 +00:00
weight_norm.py
[BE] enable UFMT for torch/nn/utils ( #128595 )
2024-06-13 18:34:57 +00:00