tensorplay.functional.select

tensorplay.functional.select(input, dim, index) → Tensor[source]

Slices the input tensor along the selected dimension at the given index. This function returns a view of the original tensor with the given dimension removed.

Note

If input is a sparse tensor and returning a view of the tensor is not possible, a RuntimeError exception is raised. In this is the case, consider using tensorplay.select_copy() function.

Parameters:

• input (Tensor) – the input tensor.

• dim (int) – the dimension to slice

• index (int) – the index to select with

Note

select() is equivalent to slicing. For example, tensor.select(0, index) is equivalent to tensor[index] and tensor.select(2, index) is equivalent to tensor[:,:,index].