mirror of https://github.com/hpcaitech/ColossalAI
30 lines
1.3 KiB
Python
30 lines
1.3 KiB
Python
import torch
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import operator
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__all__ = [
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'ELEMENTWISE_MODULE_OP', 'ELEMENTWISE_FUNC_OP', 'RESHAPE_FUNC_OP', 'CONV_MODULE_OP', 'CONV_FUNC_OP',
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'LINEAR_MODULE_OP', 'LINEAR_FUNC_OP', 'BATCHNORM_MODULE_OP', 'POOL_MODULE_OP', 'NON_PARAM_FUNC_OP'
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]
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ELEMENTWISE_MODULE_OP = [torch.nn.Dropout, torch.nn.ReLU]
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# TODO: flatten should not be added into this group
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ELEMENTWISE_FUNC_OP = [
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torch.add, operator.add, torch.abs, torch.cos, torch.exp, torch.mul, operator.mul, operator.floordiv,
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operator.truediv, operator.neg, torch.multiply, torch.nn.functional.relu, torch.nn.functional.dropout
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]
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RESHAPE_FUNC_OP = [torch.flatten, torch.Tensor.view, torch.reshape]
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CONV_MODULE_OP = [
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torch.nn.Conv1d, torch.nn.Conv2d, torch.nn.Conv3d, torch.nn.ConvTranspose1d, torch.nn.ConvTranspose2d,
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torch.nn.ConvTranspose3d
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]
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CONV_FUNC_OP = [
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torch.conv1d, torch.conv2d, torch.conv3d, torch.conv_transpose1d, torch.conv_transpose2d, torch.conv_transpose3d
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]
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LINEAR_MODULE_OP = [torch.nn.Linear]
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LINEAR_FUNC_OP = [torch.nn.functional.linear, torch.matmul, torch.bmm]
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BATCHNORM_MODULE_OP = [torch.nn.BatchNorm1d, torch.nn.BatchNorm2d, torch.nn.BatchNorm3d, torch.nn.SyncBatchNorm]
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POOL_MODULE_OP = [torch.nn.MaxPool1d, torch.nn.MaxPool2d, torch.nn.MaxPool3d, torch.nn.AdaptiveAvgPool2d]
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NON_PARAM_FUNC_OP = RESHAPE_FUNC_OP + ELEMENTWISE_FUNC_OP
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INFINITY_COST = 1e13
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