Cat
cat(tensors, dim=0, out=NULL) -> Tensor
Concatenates the given sequence of seq
tensors in the given dimension.
All tensors must either have the same shape (except in the concatenating
dimension) or be empty.
torch_cat
can be seen as an inverse operation for torch_split()
and torch_chunk
.
torch_cat
can be best understood via examples.
Examples
if (torch_is_installed()) {
x = torch_randn(c(2, 3))
x
torch_cat(list(x, x, x), 1)
torch_cat(list(x, x, x), 2)
}
#> torch_tensor
#> -0.1625 0.4127 -0.7657 -0.1625 0.4127 -0.7657 -0.1625 0.4127 -0.7657
#> 0.7121 -0.9497 1.4871 0.7121 -0.9497 1.4871 0.7121 -0.9497 1.4871
#> [ CPUFloatType{2,9} ]