当使用nn.BatchNorm1d时,确保传入的数据尺寸与通道数匹配,可以通过以下代码示例进行解决:
假设数据x的尺寸为(batch_size, feature_dim),需要将其传递给一个带有64个输出通道的BatchNorm1d层,代码如下:
import torch.nn as nn
batch_size = 32 feature_dim = 100 num_channels = 64
x = torch.randn(batch_size, feature_dim) bn = nn.BatchNorm1d(num_channels)
output = bn(x)
output = bn(x.transpose(1, 0)).transpose(1, 0)
bn = nn.BatchNorm1d(feature_dim) # 这将确保输入与输出尺寸匹配 output = bn(x)