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444039c47b
Summary: This is the first commit from a series of planned changes in order to add boolean tensors to PyTorch. The whole plan looks like this: 0. Storage Implementation (this change) 1. Tensor Creation. 2. Tensor Conversions. 3. Tensor Indexing. 4. Tensor Operations. 5. Back compatibility related changes. This feature was requested by the community: https://github.com/pytorch/pytorch/issues/4764 https://github.com/pytorch/pytorch/issues/4219 https://github.com/pytorch/pytorch/issues/4288 **Change**: Added boolean type to the Storage class for CPU and CUDA backends. **Tested via**: 1. unit tests 2. running this: -> import torch -> torch.BoolStorage <class 'torch.BoolStorage'> -> torch.cuda.BoolStorage <class 'torch.cuda.BoolStorage'> Pull Request resolved: https://github.com/pytorch/pytorch/pull/16810 Reviewed By: gchanan Differential Revision: D14087246 Pulled By: izdeby fbshipit-source-id: 042642ced1cb0fd1bb6bff05f9ca871a5c54ee5e
46 lines
1.2 KiB
Python
46 lines
1.2 KiB
Python
"""Adds docstrings to Storage functions"""
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import torch._C
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from torch._C import _add_docstr as add_docstr
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storage_classes = [
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'DoubleStorageBase',
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'FloatStorageBase',
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'LongStorageBase',
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'IntStorageBase',
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'ShortStorageBase',
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'CharStorageBase',
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'ByteStorageBase',
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'BoolStorageBase',
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]
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def add_docstr_all(method, docstr):
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for cls_name in storage_classes:
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cls = getattr(torch._C, cls_name)
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try:
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add_docstr(getattr(cls, method), docstr)
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except AttributeError:
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pass
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add_docstr_all('from_file',
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"""
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from_file(filename, shared=False, size=0) -> Storage
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If `shared` is `True`, then memory is shared between all processes.
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All changes are written to the file. If `shared` is `False`, then the changes on
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the storage do not affect the file.
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`size` is the number of elements in the storage. If `shared` is `False`,
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then the file must contain at least `size * sizeof(Type)` bytes
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(`Type` is the type of storage). If `shared` is `True` the file will be
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created if needed.
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Args:
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filename (str): file name to map
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shared (bool): whether to share memory
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size (int): number of elements in the storage
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""")
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