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5837e95d30
This PR re-lands - [Typing] Fix PEP 484 Violation (#105022) - Update mypy to 1.4.1 (#91983) That were reverted due to the conflict with internal source repo. Mostly fixes for PEP-484 violation (i.e. when default arg is set to None, but type is not annotated as optional) Plus few real fixes: - Add missing `_get_upgraders_entry_map` to `torch/_C/__init__.pyi` - Add missing return statement to `torch._export. deserialize_graph` - Fix error message in `torch.ao.ns.fx.weight_utils.get_lstm_mod_weights` - Add assert it `torch/optim/optimizer.py` that Optional list is not None TODO (in followup PR): - Fix erroneous `isinstance` check in `torch/ao/quantization/_pt2e/qat_utils.py` Unrelated, to bypass CI failures due to the gcc9 dependency update in Ubuntu-18.04: - Add hack to squash older libstdc++ from conda environment in favor one from OS to `.ci/docker/install_conda.sh` - Update bazel cuda builds to focal, as with libstdc++-6.0.32 bazel builds loose the ability to catch exceptions (probably because they link with cupti statically, but I could not found where it is done) Pull Request resolved: https://github.com/pytorch/pytorch/pull/105227 Approved by: https://github.com/atalman, https://github.com/albanD, https://github.com/Skylion007
27 lines
1.1 KiB
Python
27 lines
1.1 KiB
Python
# Safely load fast C Yaml loader/dumper if they are available
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try:
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from yaml import CSafeLoader as Loader
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except ImportError:
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from yaml import SafeLoader as Loader # type: ignore[assignment, misc]
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try:
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from yaml import CSafeDumper as Dumper
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except ImportError:
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from yaml import SafeDumper as Dumper # type: ignore[assignment, misc]
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YamlDumper = Dumper
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# A custom loader for YAML that errors on duplicate keys.
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# This doesn't happen by default: see https://github.com/yaml/pyyaml/issues/165
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class YamlLoader(Loader):
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def construct_mapping(self, node, deep=False): # type: ignore[no-untyped-def]
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mapping = []
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for key_node, value_node in node.value:
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key = self.construct_object(key_node, deep=deep) # type: ignore[no-untyped-call]
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assert (
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key not in mapping
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), f"Found a duplicate key in the yaml. key={key}, line={node.start_mark.line}"
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mapping.append(key)
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mapping = super().construct_mapping(node, deep=deep) # type: ignore[no-untyped-call]
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return mapping
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