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* [legacy] remove outdated codes of pipeline (#4692) * [legacy] remove cli of benchmark and update optim (#4690) * [legacy] remove cli of benchmark and update optim * [doc] fix cli doc test * [legacy] fix engine clip grad norm * [legacy] remove outdated colo tensor (#4694) * [legacy] remove outdated colo tensor * [test] fix test import * [legacy] move outdated zero to legacy (#4696) * [legacy] clean up utils (#4700) * [legacy] clean up utils * [example] update examples * [legacy] clean up amp * [legacy] fix amp module * [legacy] clean up gpc (#4742) * [legacy] clean up context * [legacy] clean core, constants and global vars * [legacy] refactor initialize * [example] fix examples ci * [example] fix examples ci * [legacy] fix tests * [example] fix gpt example * [example] fix examples ci * [devops] fix ci installation * [example] fix examples ci
30 lines
779 B
Python
30 lines
779 B
Python
from enum import Enum
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class ComputePattern(Enum):
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TP1D = 0
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TP2D = 1
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TP2P5D = 2
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TP3D = 3
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class ComputeSpec(object):
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"""ComputeSpec
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The Specification for computation pattern
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Args:
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compute_pattern (ComputePattern): an Enum instance for compute pattern.
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"""
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def __init__(self, compute_pattern: ComputePattern) -> None:
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assert isinstance(compute_pattern, ComputePattern)
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self.compute_pattern = compute_pattern
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# Make sure output tensors are replicate
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self.output_replicate = True
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def __repr__(self):
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return f'ComputeSpec(pattern={self.compute_pattern}, replicate_output={self.output_replicate})'
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def set_output_replicate(self, flag: bool = True):
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self.output_replicate = flag
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