mirror of https://github.com/hpcaitech/ColossalAI
45 lines
871 B
Python
45 lines
871 B
Python
import torch
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__all__ = ["ALIAS_ATEN", "INPLACE_NEW", "INPLACE_MATH_ATEN", "CLONE_ATEN", "RELU_LIKE_OPS", "RELU_LIKE_MOD"]
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aten = torch.ops.aten
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ALIAS_ATEN = [
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aten.detach.default,
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aten.t.default,
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aten.transpose.int,
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aten.view.default,
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aten._unsafe_view.default,
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aten._reshape_alias.default,
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]
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INPLACE_NEW = [
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aten.empty_like.default,
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aten.new_empty_strided.default,
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]
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INPLACE_MATH_ATEN = [
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aten.add_.Tensor,
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aten.sub_.Tensor,
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aten.div_.Tensor,
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aten.div_.Scalar,
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aten.mul_.Tensor,
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aten.bernoulli_.float,
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]
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CLONE_ATEN = [
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aten.clone.default,
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]
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# See illustrations in
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# https://github.com/hpcaitech/ColossalAI/blob/main/colossalai/fx/profiler/constants.py
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OUTPUT_SAVED_OPS = [
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torch.nn.functional.relu,
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torch.nn.functional.softmax,
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]
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OUTPUT_SAVED_MOD = [
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torch.nn.ReLU,
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torch.nn.Softmax,
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]
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