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Flatten

Usage

torch_flatten(self, dims, start_dim = 1L, end_dim = -1L, out_dim)

Arguments

self

(Tensor) the input tensor.

dims

if tensor is named you can pass the name of the dimensions to flatten

start_dim

(int) the first dim to flatten

end_dim

(int) the last dim to flatten

out_dim

the name of the resulting dimension if a named tensor.

flatten(input, start_dim=0, end_dim=-1) -> Tensor

Flattens a contiguous range of dims in a tensor.

Examples

if (torch_is_installed()) {

t = torch_tensor(matrix(c(1, 2), ncol = 2))
torch_flatten(t)
torch_flatten(t, start_dim=2)
}
#> torch_tensor
#>  1  2
#> [ CPUFloatType{1,2} ]