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python312Packages.torch-geometric: skip failing test on darwin (#350200)

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Sandro 2024-10-22 13:19:41 +02:00 committed by GitHub
commit a6401ae234
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1 changed files with 20 additions and 13 deletions
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9
pkgs/development/python-modules/torch-geometric/default.nix
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@ -1,5 +1,6 @@
{ {
lib, lib,
stdenv,
buildPythonPackage, buildPythonPackage,
fetchFromGitHub, fetchFromGitHub,
@ -153,7 +154,8 @@ buildPythonPackage rec {
export HOME=$(mktemp -d) export HOME=$(mktemp -d)
''; '';
disabledTests = [ disabledTests =
[
# TODO: try to re-enable when triton will have been updated to 3.0 # TODO: try to re-enable when triton will have been updated to 3.0
# torch._dynamo.exc.BackendCompilerFailed: backend='inductor' raised: # torch._dynamo.exc.BackendCompilerFailed: backend='inductor' raised:
# LoweringException: ImportError: cannot import name 'triton_key' from 'triton.compiler.compiler' # LoweringException: ImportError: cannot import name 'triton_key' from 'triton.compiler.compiler'
@ -167,6 +169,11 @@ buildPythonPackage rec {
# AttributeError: type object 'Any' has no attribute '_name' # AttributeError: type object 'Any' has no attribute '_name'
"test_type_repr" "test_type_repr"
]
++ lib.optionals stdenv.hostPlatform.isDarwin [
# This test uses `torch.jit` which might not be working on darwin:
# RuntimeError: required keyword attribute 'value' has the wrong type
"test_traceable_my_conv_with_self_loops"
]; ];
meta = { meta = {