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Remove legacy constructor calls from pytorch codebase. (#54142)

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Summary:
Follow up from https://github.com/pytorch/pytorch/issues/53889
Related to https://github.com/pytorch/pytorch/issues/47112

Removing every occurrence of the legacy constructor call present in PyTorch at:
- _docs_
- _benchmarks_
- _test_
- _caffe2_
- _CONTRIBUTING.md_

Pull Request resolved: https://github.com/pytorch/pytorch/pull/54142

Reviewed By: ngimel

Differential Revision: D27699450

Pulled By: mruberry

fbshipit-source-id: 530aa3f5746cc8bc1407d5d51b2bbd8075e30546
This commit is contained in:
Yukio Siraichi
2021-04-11 15:43:54 -07:00
committed by Facebook GitHub Bot
parent fa29a647db
commit 93bf0ae6fc
40 changed files with 350 additions and 351 deletions
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10
test/test_shape_ops.py
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@ -63,11 +63,11 @@ class TestShapeOps(TestCase):
@onlyCPU
def test_tolist(self, device):
list0D = []
tensor0D = torch.Tensor(list0D)
tensor0D = torch.tensor(list0D)
self.assertEqual(tensor0D.tolist(), list0D)
table1D = [1, 2, 3]
tensor1D = torch.Tensor(table1D)
table1D = [1., 2., 3.]
tensor1D = torch.tensor(table1D)
storage = torch.Storage(table1D)
self.assertEqual(tensor1D.tolist(), table1D)
self.assertEqual(storage.tolist(), table1D)
@ -75,10 +75,10 @@ class TestShapeOps(TestCase):
self.assertEqual(storage.tolist(), table1D)
table2D = [[1, 2], [3, 4]]
tensor2D = torch.Tensor(table2D)
tensor2D = torch.tensor(table2D)
self.assertEqual(tensor2D.tolist(), table2D)
tensor3D = torch.Tensor([[[1, 2], [3, 4]], [[5, 6], [7, 8]]])
tensor3D = torch.tensor([[[1, 2], [3, 4]], [[5, 6], [7, 8]]])
tensorNonContig = tensor3D.select(1, 1)
self.assertFalse(tensorNonContig.is_contiguous())
self.assertEqual(tensorNonContig.tolist(), [[3, 4], [7, 8]])