Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

[complex] Enable complex autograd and jit tests for trace #51537

Closed
wants to merge 2 commits into from
Closed

[complex] Enable complex autograd and jit tests for trace #51537

Show file tree
Hide file tree
Changes from 1 commit
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
25de8ba
enable complex autograd and jit tests for trace
kshitij12345 Feb 2, 2021
0aac060
Merge branch 'master' into complex/autograd/trace
kshitij12345 Feb 2, 2021
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Jump to
Jump to file
Failed to load files.
Diff view
Diff view
2 changes: 1 addition & 1 deletion tools/autograd/gen_variable_type.py
View file
Open in desktop
Expand Up @@ -90,7 +90,7 @@
'replication_pad1d', 'replication_pad2d', 'replication_pad3d',
'replication_pad1d_backward', 'replication_pad2d_backward', 'replication_pad3d_backward',
'masked_scatter', 'masked_select',
'index_fill',
'index_fill', 'trace'
}

# Some operators invalidate the grad_accumulator. Let's reset it.
Expand Down
9 changes: 1 addition & 8 deletions torch/testing/_internal/common_methods_invocations.py
View file
Open in desktop
Expand Up @@ -2121,14 +2121,7 @@ def reference_lgamma(x):
dtypesIfCUDA=all_types_and_complex_and(torch.bool, torch.half),
test_inplace_grad=False,
supports_tensor_out=False,
# Reference: https://github.com/pytorch/pytorch/issues/50381
test_complex_grad=False,
sample_inputs_func=sample_inputs_trace,
skips=(
SkipInfo('TestCommon', 'test_variant_consistency_jit',
dtypes=[torch.complex64, torch.complex128]),
SkipInfo('TestCommon', 'test_variant_consistency_eager',
dtypes=[torch.complex64, torch.complex128]))),
sample_inputs_func=sample_inputs_trace)
]
op_db = op_db + op_db_scipy_reference

Expand Down