Switch branches/tags
Nothing to show
Find file Copy path
Fetching contributors…
Cannot retrieve contributors at this time
51 lines (40 sloc) 1.7 KB
"""Implement the adaptive instance normalization layer."""
import numpy as np
import torch
import torch.nn as nn
from torch.nn.parameter import Parameter
class AdaptiveInstanceNormalization(torch.nn.Module):
def __init__(self):
super(AdaptiveInstanceNormalization, self).__init__()
self.gradInput = None
self.eps = 1e-5
self.nOutput = 512
self.batchSize = -1 = None
def forward(self, input):
Implement the AdaIN layer. The layer applies batch normalization on the content input using the standard
deviation and mean computed using the style input.
:param input: a PyTorch tensor of 2x3x128x128 consisting of the content and the style.
:return: the output of ? as the batch normalized content.
content, style = input[0], input[1]
hc, wc = content.size()[1], content.size()[2]
hs, ws = style.size()[1], style.size()[2]
content = content.unsqueeze(0)
style = style.unsqueeze(0)
style_view = style.view(1, self.nOutput, hs * ws)
target_std = torch.std(style_view, 2, unbiased=False).view(-1)
target_mean = torch.mean(style_view, 2, keepdim=False).view(-1)
if is None: = nn.BatchNorm2d(self.nOutput, self.eps, affine=False) = Parameter( = Parameter(
content_view = content.view(1, self.nOutput, hc, wc)
output =
return output
def backward(self, grad_output):
"""Not implemented."""
self.gradInput = None
return self.gradInput