Channel_shuffle

Usage

torch_channel_shuffle(self, groups)

Arguments

self: (Tensor) the input tensor
groups: (int) number of groups to divide channels in and rearrange.

Divide the channels in a tensor of shape

math:(*, C , H, W) :

Divide the channels in a tensor of shape \((*, C , H, W)\) into g groups and rearrange them as \((*, C \frac g, g, H, W)\), while keeping the original tensor shape.

Examples

if (torch_is_installed()) {

input <- torch_randn(c(1, 4, 2, 2))
print(input)
output <- torch_channel_shuffle(input, 2)
print(output)
}
#> torch_tensor
#> (1,1,.,.) = 
#>  -1.7996 -0.4875
#>  -0.1402  0.6430
#> 
#> (1,2,.,.) = 
#>   1.6013 -2.8596
#>   0.6372  0.1704
#> 
#> (1,3,.,.) = 
#>  -0.8334  1.1602
#>   0.2836  0.8798
#> 
#> (1,4,.,.) = 
#>   0.5182 -1.2047
#>   0.9831  0.0413
#> [ CPUFloatType{1,4,2,2} ]
#> torch_tensor
#> (1,1,.,.) = 
#>  -1.7996 -0.4875
#>  -0.1402  0.6430
#> 
#> (1,2,.,.) = 
#>  -0.8334  1.1602
#>   0.2836  0.8798
#> 
#> (1,3,.,.) = 
#>   1.6013 -2.8596
#>   0.6372  0.1704
#> 
#> (1,4,.,.) = 
#>   0.5182 -1.2047
#>   0.9831  0.0413
#> [ CPUFloatType{1,4,2,2} ]