Bool tensor creation (cpu) (#17376)
Summary:
This PR enables bool tensor creation and some basic operations for the CPU backend. This is a part of Bool Tensor feature implementation work. The whole plan looks like this:
1. Storage Implementation [Done]
2. Tensor Creation.
a) CPU (this PR)
b) CUDA
3. Tensor Conversions.
4. Tensor Indexing.
5. Tensor Operations.
6. Back compatibility related changes.
**Change**:
Enable CPU tensors and these operations:
- torch.zeros
- torch.tensor
- torch.ones
- torch.randint
- torch.full
- torch.full_like
- torch.empty
- torch.empty_like
**Tested via**:
1) unit tests
2)
torch.zeros(2,2, dtype=torch.bool)
torch.tensor([True, False], dtype=torch.bool)
torch.tensor([-1, -1.1, 0, 1, 1.1, 2], dtype=torch.bool)
torch.ones([1,2], dtype=torch.bool)
torch.randint(10, (2, 2), dtype=torch.bool)
torch.full((2, 3), True, dtype=torch.bool)
torch.empty(4, dtype=torch.bool)
a = torch.tensor([0,0,1])
b = torch.full_like(a, True)
Pull Request resolved: https://github.com/pytorch/pytorch/pull/17376
Reviewed By: ezyang
Differential Revision: D14375995
Pulled By: izdeby
fbshipit-source-id: a65490b5360ee0e6e3accc54ce7e32e49ad2d2a8
