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Summary: this mostly consisted of adding __all__ to files without them. A few functions in X.utils were made private too Test Plan: python test/test_public_bindings.py Reviewers: Subscribers: Tasks: Tags: Differential Revision: [D40814548](https://our.internmc.facebook.com/intern/diff/D40814548) Pull Request resolved: https://github.com/pytorch/pytorch/pull/87883 Approved by: https://github.com/jcaip, https://github.com/anjali411
43 lines
1.7 KiB
Python
43 lines
1.7 KiB
Python
import threading
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__all__ = [
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"LinearBlockSparsePattern"
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]
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def _is_valid_linear_block_sparse_pattern(row_block_size, col_block_size):
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return (row_block_size == 1 and col_block_size == 4) or \
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(row_block_size == 8 and col_block_size == 1)
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# This is a stop-gap measure as current flow does not allow module
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# specific block sparse pattern.
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# Infact there is no way to convey sparse pattern via module config
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# of quantization flow. Thus using the global context to convey
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# sparsity pattern.
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# Once the flow supports it, this should be removed.
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class LinearBlockSparsePattern:
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rlock = threading.RLock()
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row_block_size = 1
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col_block_size = 4
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prev_row_block_size = 1
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prev_col_block_size = 4
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def __init__(self, row_block_size=1, col_block_size=4):
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assert(_is_valid_linear_block_sparse_pattern(row_block_size, col_block_size))
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LinearBlockSparsePattern.rlock.acquire()
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LinearBlockSparsePattern.prev_row_block_size = LinearBlockSparsePattern.row_block_size
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LinearBlockSparsePattern.prev_col_block_size = LinearBlockSparsePattern.col_block_size
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LinearBlockSparsePattern.row_block_size = row_block_size
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LinearBlockSparsePattern.col_block_size = col_block_size
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def __enter__(self):
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pass
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def __exit__(self, exc_type, exc_value, backtrace):
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LinearBlockSparsePattern.row_block_size = LinearBlockSparsePattern.prev_row_block_size
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LinearBlockSparsePattern.col_block_size = LinearBlockSparsePattern.prev_col_block_size
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LinearBlockSparsePattern.rlock.release()
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@staticmethod
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def block_size():
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return LinearBlockSparsePattern.row_block_size, LinearBlockSparsePattern.col_block_size
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