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Remove legacy constructor calls from pytorch codebase. (#54142)
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
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@ -99,7 +99,7 @@ class TestTensorBoardPyTorchNumpy(BaseTestCase):
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self.assertIsInstance(make_np(0.1), np.ndarray)
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def test_pytorch_autograd_np(self):
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x = torch.autograd.Variable(torch.Tensor(1))
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x = torch.autograd.Variable(torch.empty(1))
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self.assertIsInstance(make_np(x), np.ndarray)
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def test_pytorch_write(self):
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@ -289,8 +289,8 @@ class TestTensorBoardSummaryWriter(BaseTestCase):
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class TestTensorBoardEmbedding(BaseTestCase):
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def test_embedding(self):
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w = self.createSummaryWriter()
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all_features = torch.Tensor([[1, 2, 3], [5, 4, 1], [3, 7, 7]])
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all_labels = torch.Tensor([33, 44, 55])
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all_features = torch.tensor([[1., 2., 3.], [5., 4., 1.], [3., 7., 7.]])
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all_labels = torch.tensor([33., 44., 55.])
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all_images = torch.zeros(3, 3, 5, 5)
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w.add_embedding(all_features,
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@ -309,8 +309,8 @@ class TestTensorBoardEmbedding(BaseTestCase):
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def test_embedding_64(self):
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w = self.createSummaryWriter()
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all_features = torch.Tensor([[1, 2, 3], [5, 4, 1], [3, 7, 7]])
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all_labels = torch.Tensor([33, 44, 55])
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all_features = torch.tensor([[1., 2., 3.], [5., 4., 1.], [3., 7., 7.]])
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all_labels = torch.tensor([33., 44., 55.])
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all_images = torch.zeros((3, 3, 5, 5), dtype=torch.float64)
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w.add_embedding(all_features,
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