Source code for cerebras.modelzoo.layers.GroupInstanceNorm

# Copyright 2022 Cerebras Systems.
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# Licensed under the Apache License, Version 2.0 (the "License");
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import torch.nn as nn


[docs]class GroupInstanceNorm(nn.Module): """ Uses torch.nn.GroupNorm to emulate InstanceNorm by setting number of groups equal to the number of channels. Args: num_channels (int): number of channels. `C` from an expected input of size (N, C, H, W). """ def __init__( self, num_channels, eps=1e-5, affine=True, device=None, dtype=None, ): super(GroupInstanceNorm, self).__init__() self.instancenorm = nn.GroupNorm( num_channels, num_channels, eps=eps, affine=affine, device=device, dtype=dtype, ) def forward(self, input): out = self.instancenorm(input) return out