Masked_select

Usage

torch_masked_select(self, mask)

Arguments

self: (Tensor) the input tensor.
mask: (BoolTensor) the tensor containing the binary mask to index with

Note

The returned tensor does not use the same storage as the original tensor

masked_select(input, mask, out=NULL) -> Tensor

Returns a new 1-D tensor which indexes the input tensor according to the boolean mask mask which is a BoolTensor.

The shapes of the mask tensor and the input tensor don't need to match, but they must be broadcastable .

Examples

if (torch_is_installed()) {

x = torch_randn(c(3, 4))
x
mask = x$ge(0.5)
mask
torch_masked_select(x, mask)
}
#> torch_tensor
#>  1.6461
#>  1.4241
#>  1.1868
#>  0.5365
#> [ CPUFloatType{4} ]