mirror of
https://github.com/wassname/pytorch-for-numpy-users.git
synced 2026-06-27 16:10:21 +08:00
Kentaro Wada
50 lines
1.1 KiB
Python
Executable File
50 lines
1.1 KiB
Python
Executable File
#!/usr/bin/env python
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import collections
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import os.path as osp
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import tabulate
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import yaml
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TEMPLATE = '''\
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# PyTorch for Numpy users
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[PyTorch](https://github.com/pytorch/pytorch.git) version of [_Torch for Numpy users_](https://github.com/torch/torch7/wiki/Torch-for-Numpy-users).
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{contents}
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'''
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here = osp.dirname(osp.abspath(__file__))
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def get_contents():
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# keep order in yaml file
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yaml.add_constructor(yaml.resolver.BaseResolver.DEFAULT_MAPPING_TAG,
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lambda loader, node: \
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collections.OrderedDict(loader.construct_pairs(node)))
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yaml_file = osp.join(here, 'conversions.yaml')
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data = yaml.load(open(yaml_file))
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contents = ''
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for section, data in data.items():
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headers = ['Numpy', 'PyTorch']
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rows = []
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for d in data:
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rows.append([
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'`' + d['numpy'] + '`',
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'`' + d['pytorch'] + '`',
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])
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contents += '''
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## {title}
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{table}\n'''.format(
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title=section.capitalize(),
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table=tabulate.tabulate(rows, headers=headers, tablefmt='pipe'),
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)
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return contents
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print(TEMPLATE.format(contents=get_contents()))
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