torch.chunk

torch.chunk(input, chunks, dim=0) → List of Tensors

Attempts to split a tensor into the specified number of chunks. Each chunk is a view of the input tensor.

Note

This function may return less then the specified number of chunks!

See also

torch.tensor_split() a function that always returns exactly the specified number of chunks

If the tensor size along the given dimesion dim is divisible by chunks, all returned chunks will be the same size. If the tensor size along the given dimension dim is not divisible by chunks, all returned chunks will be the same size, except the last one. If such division is not possible, this function may return less than the specified number of chunks.

Parameters

• input (Tensor) – the tensor to split

• chunks (int) – number of chunks to return

• dim (int) – dimension along which to split the tensor

Example::

>>> torch.arange(11).chunk(6)
(tensor([0, 1]),
 tensor([2, 3]),
 tensor([4, 5]),
 tensor([6, 7]),
 tensor([8, 9]),
 tensor([10]))
>>> torch.arange(12).chunk(6)
(tensor([0, 1]),
 tensor([2, 3]),
 tensor([4, 5]),
 tensor([6, 7]),
 tensor([8, 9]),
 tensor([10, 11]))
>>> torch.arange(13).chunk(6)
(tensor([0, 1, 2]),
 tensor([3, 4, 5]),
 tensor([6, 7, 8]),
 tensor([ 9, 10, 11]),
 tensor([12]))