mirror of https://github.com/hpcaitech/ColossalAI
58 lines
2.2 KiB
Python
58 lines
2.2 KiB
Python
import math
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import torch
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from ..registry import meta_patched_module
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@meta_patched_module.register(torch.nn.Conv1d)
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def torch_nn_conv1d(self, input):
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# the output shape is calculated using the formula stated
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# at https://pytorch.org/docs/stable/generated/torch.nn.Conv1d.html#torch.nn.Conv1d
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l_in = input.shape[-1]
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c_out = self.out_channels
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l_out = math.floor((l_in + 2 * self.padding[0] - self.dilation[0] *
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(self.kernel_size[0] - 1) - 1) / self.stride[0] + 1)
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result_shape = input.shape[:-2] + (
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c_out,
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l_out,
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)
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return torch.empty(result_shape, device='meta')
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@meta_patched_module.register(torch.nn.Conv2d)
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def torch_nn_conv2d(self, input):
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# the output shape is calculated using the formula stated
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# at https://pytorch.org/docs/stable/generated/torch.nn.Conv1d.html#torch.nn.Conv2d
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h_in, w_in = input.shape[-2:]
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c_out = self.out_channels
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h_out = math.floor((h_in + 2 * self.padding[0] - self.dilation[0] *
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(self.kernel_size[0] - 1) - 1) / self.stride[0] + 1)
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w_out = math.floor((w_in + 2 * self.padding[1] - self.dilation[1] *
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(self.kernel_size[1] - 1) - 1) / self.stride[1] + 1)
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result_shape = input.shape[:-3] + (
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c_out,
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h_out,
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w_out,
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)
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return torch.empty(result_shape, device='meta')
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@meta_patched_module.register(torch.nn.Conv3d)
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def torch_nn_conv3d(self, input):
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# the output shape is calculated using the formula stated
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# at https://pytorch.org/docs/stable/generated/torch.nn.Conv1d.html#torch.nn.Conv3d
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d_in, h_in, w_in = input.shape[-3:]
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c_out = self.out_channels
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d_out = math.floor((d_in + 2 * self.padding[0] - self.dilation[0] *
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(self.kernel_size[0] - 1) - 1) / self.stride[0] + 1)
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h_out = math.floor((h_in + 2 * self.padding[1] - self.dilation[1] *
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(self.kernel_size[1] - 1) - 1) / self.stride[1] + 1)
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w_out = math.floor((w_in + 2 * self.padding[2] - self.dilation[2] *
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(self.kernel_size[2] - 1) - 1) / self.stride[2] + 1)
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result_shape = input.shape[:-4] + (
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c_out,
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d_out,
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h_out,
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w_out,
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)
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return torch.empty(result_shape, device='meta')
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