Understand data normalization

[LucasTomazini]

Hi Guys

I can't understand the normalization of the input matrix.

I know that normalization is carried out in the dimension of time and space, but I can't understand how it occurs in the process below.

N, C, T, V, M = x.size()
x = x.permute(0, 4, 3, 1, 2).contiguous()
x = x.view(N * M, V * C, T)
x = self.data_bn(x)
x = x.view(N, M, V, C, T)
x = x.permute(0, 1, 3, 4, 2).contiguous()
x = x.view(N * M, C, T, V)

Thank you so much.