Flatten
torch_flatten(self, dims, start_dim = 1L, end_dim = -1L, out_dim)
self
: (Tensor) the input tensor.dims
: if tensor is named you can pass the name of the dimensions to flattenstart_dim
: (int) the first dim to flattenend_dim
: (int) the last dim to flattenout_dim
: the name of the resulting dimension if a named tensor.Flattens a contiguous range of dims in a tensor.
if (torch_is_installed()) { t = torch_tensor(matrix(c(1, 2), ncol = 2)) torch_flatten(t) torch_flatten(t, start_dim=2) }
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