*Memos:
- My post explains vsplit().
- My post explains hsplit().
- My post explains dsplit().
- My post explains tensor_split().
- My post explains chunk().
- My post explains unbind().
split() can get the one or more 1D or more D splitted view tensors of zero or more elements from the 1D or more D tensor of zero or more elements as shown below:
*Memos:
-
split()can be used with torch or a tensor. - The 1st argument(
tensor) withtorchor using a tensor(Required-Type:tensorofint,float,complexorbool). - The 2nd argument with
torchor the 1st argument with a tensor issplit_size_or_sections(Required-Type:int,tupleofintorlistofint). *Don't usesplit_size_or_sections=with a tensor. - The 3rd argument with
torchor the 2nd argument with a tensor isdim(Optional-Default:0-Type:int). - The total number of the zero or more elements of one or more returned tensors changes.
- One or more returned tensors keep the dimension of the original tensor.
import torch my_tensor = torch.tensor([[0, 1, 2, 3], [4, 5, 6, 7], [8, 9, 10, 11]]) torch.split(tensor=my_tensor, split_size_or_sections=1) my_tensor.split(1) torch.split(tensor=my_tensor, split_size_or_sections=1, dim=0) torch.split(tensor=my_tensor, split_size_or_sections=1, dim=-2) # (tensor([[0, 1, 2, 3]]), # tensor([[4, 5, 6, 7]]), # tensor([[8, 9, 10, 11]])) torch.split(tensor=my_tensor, split_size_or_sections=1, dim=1) torch.split(tensor=my_tensor, split_size_or_sections=1, dim=-1) # (tensor([[0], [4], [8]]), # tensor([[1], [5], [9]]), # tensor([[2], [6], [10]]), # tensor([[3], [7], [11]])) torch.split(tensor=my_tensor, split_size_or_sections=2) torch.split(tensor=my_tensor, split_size_or_sections=2, dim=0) torch.split(tensor=my_tensor, split_size_or_sections=2, dim=-2) # (tensor([[0, 1, 2, 3], [4, 5, 6, 7]]), # tensor([[8, 9, 10, 11]])) torch.split(tensor=my_tensor, split_size_or_sections=2, dim=1) torch.split(tensor=my_tensor, split_size_or_sections=2, dim=-1) # (tensor([[0, 1], [4, 5], [8, 9]]), # tensor([[2, 3], [6, 7], [10, 11]])) torch.split(tensor=my_tensor, split_size_or_sections=3) torch.split(tensor=my_tensor, split_size_or_sections=3, dim=0) torch.split(tensor=my_tensor, split_size_or_sections=3, dim=-2) # (tensor([[0, 1, 2, 3], [4, 5, 6, 7], [8, 9, 10, 11]]),) torch.split(tensor=my_tensor, split_size_or_sections=3, dim=1) torch.split(tensor=my_tensor, split_size_or_sections=3, dim=-1) # (tensor([[0, 1, 2], [4, 5, 6], [8, 9, 10]]), # tensor([[3], [7], [11]])) torch.split(tensor=my_tensor, split_size_or_sections=(0, 3)) torch.split(tensor=my_tensor, split_size_or_sections=(0, 3), dim=0) torch.split(tensor=my_tensor, split_size_or_sections=(0, 3), dim=-2) # (tensor([], size=(0, 4), dtype=torch.int64), # tensor([[0, 1, 2, 3], [4, 5, 6, 7], [8, 9, 10, 11]])) torch.split(tensor=my_tensor, split_size_or_sections=(1, 2)) torch.split(tensor=my_tensor, split_size_or_sections=(1, 2), dim=0) torch.split(tensor=my_tensor, split_size_or_sections=(1, 2), dim=-2) # (tensor([[0, 1, 2, 3]]), # tensor([[4, 5, 6, 7], [8, 9, 10, 11]])) torch.split(tensor=my_tensor, split_size_or_sections=(2, 1)) torch.split(tensor=my_tensor, split_size_or_sections=(2, 1), dim=0) torch.split(tensor=my_tensor, split_size_or_sections=(2, 1), dim=-2) # (tensor([[0, 1, 2, 3], [4, 5, 6, 7]]), # tensor([[8, 9, 10, 11]])) torch.split(tensor=my_tensor, split_size_or_sections=(3, 0)) torch.split(tensor=my_tensor, split_size_or_sections=(3, 0), dim=0) # (tensor([[0, 1, 2, 3], [4, 5, 6, 7], [8, 9, 10, 11]]), # tensor([], size=(0, 4), dtype=torch.int64)) torch.split(tensor=my_tensor, split_size_or_sections=(1, 1, 1)) torch.split(tensor=my_tensor, split_size_or_sections=(1, 1, 1), dim=0) torch.split(tensor=my_tensor, split_size_or_sections=(1, 1, 1), dim=-2) # (tensor([[0, 1, 2, 3]]), # tensor([[4, 5, 6, 7]]), # tensor([[ 8, 9, 10, 11]])) my_tensor = torch.tensor([[0., 1., 2., 3.], [4., 5., 6., 7.], [8., 9., 10., 11.]]) torch.split(tensor=my_tensor, split_size_or_sections=1) # (tensor([[0., 1., 2., 3.]]), # tensor([[4., 5., 6., 7.]]), # tensor([[8., 9., 10., 11.]])) my_tensor = torch.tensor([[0.+0.j, 1.+0.j, 2.+0.j, 3.+0.j], [4.+0.j, 5.+0.j, 6.+0.j, 7.+0.j], [8.+0.j, 9.+0.j, 10.+0.j, 11.+0.j]]) torch.split(tensor=my_tensor, split_size_or_sections=1) # (tensor([[0.+0.j, 1.+0.j, 2.+0.j, 3.+0.j]]), # tensor([[4.+0.j, 5.+0.j, 6.+0.j, 7.+0.j]]), # tensor([[8.+0.j, 9.+0.j, 10.+0.j, 11.+0.j]])) my_tensor = torch.tensor([[True, False, True, False], [False, True, False, True], [True, False, True, False]]) torch.split(tensor=my_tensor, split_size_or_sections=1) # (tensor([[True, False, True, False]]), # tensor([[False, True, False, True]]), # tensor([[True, False, True, False]])) 
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