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https://github.com/zebrajr/pytorch.git
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b5d15315d8
Summary: This PR makes the following improvements: 1. Add `forward_with_indices` method to all C++ MaxPool modules, to return the max indices along with the outputs. (We can't make two `forward` methods that return different types based on input, because that will break the type deduction of `torch::detail::return_type_of_forward_t`) 2. Add `max_poolNd_with_indices` to `torch::nn::functional`, to be used when indices of the max values are needed. (We can't merge this with `torch::nn::functional::max_poolNd` because the return type of `max_poolNd` has to be defined statically). 3. Improve `pretty_print` of C++ MaxPoolNd and AvgPoolNd modules to match the Python `extra_repr`. Pull Request resolved: https://github.com/pytorch/pytorch/pull/26521 Differential Revision: D17507358 Pulled By: yf225 fbshipit-source-id: b6c0e2b27b38378cdc0c75f4bfc797b3c6b17cd9
86 lines
2.4 KiB
Python
86 lines
2.4 KiB
Python
from collections import namedtuple
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TorchNNTestParams = namedtuple(
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'TorchNNTestParams',
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[
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'module_name',
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'module_variant_name',
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'test_instance',
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'cpp_constructor_args',
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'has_parity',
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'device',
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]
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)
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CppArg = namedtuple('CppArg', ['type', 'value'])
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ParityStatus = namedtuple('ParityStatus', ['has_impl_parity', 'has_doc_parity'])
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TorchNNModuleMetadata = namedtuple(
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'TorchNNModuleMetadata',
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[
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'cpp_default_constructor_args',
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'num_attrs_recursive',
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'python_ignored_constructor_args',
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'python_ignored_attrs',
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'python_optional_attribute_to_jit_type',
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'cpp_sources',
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]
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)
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TorchNNModuleMetadata.__new__.__defaults__ = (None, None, [], [], {}, '')
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'''
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This function expects the parity tracker Markdown file to have the following format:
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```
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## package1_name
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API | Implementation Parity | Doc Parity
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------------- | ------------- | -------------
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API_Name|No|No
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...
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## package2_name
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API | Implementation Parity | Doc Parity
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------------- | ------------- | -------------
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API_Name|No|No
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...
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```
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The returned dict has the following format:
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```
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Dict[package_name]
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-> Dict[api_name]
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-> ParityStatus
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```
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'''
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def parse_parity_tracker_table(file_path):
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def parse_parity_choice(str):
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if str in ['Yes', 'No']:
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return str == 'Yes'
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else:
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raise RuntimeError(
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'{} is not a supported parity choice. The valid choices are "Yes" and "No".'.format(str))
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parity_tracker_dict = {}
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with open(file_path, 'r') as f:
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all_text = f.read()
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packages = all_text.split('##')
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for package in packages[1:]:
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lines = [line.strip() for line in package.split('\n') if line.strip() != '']
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package_name = lines[0]
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if package_name in parity_tracker_dict:
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raise RuntimeError("Duplicated package name `{}` found in {}".format(package_name, file_path))
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else:
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parity_tracker_dict[package_name] = {}
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for api_status in lines[3:]:
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api_name, has_impl_parity_str, has_doc_parity_str = [x.strip() for x in api_status.split('|')]
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parity_tracker_dict[package_name][api_name] = ParityStatus(
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has_impl_parity=parse_parity_choice(has_impl_parity_str),
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has_doc_parity=parse_parity_choice(has_doc_parity_str))
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return parity_tracker_dict
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