Removes print statements from test_torch.py (#15747)

Summary:
These print statements do not affect the test, and tests (generally) shouldn't print.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/15747

Differential Revision: D13587289

Pulled By: soumith

fbshipit-source-id: c758793c9e35faf02bacba6c7c6d072f7c40453f

diff --git a/test/test_torch.py b/test/test_torch.py
index 10f6085..006b256 100644 (file)
--- a/test/test_torch.py
+++ b/test/test_torch.py
@@ -9484,15 +9484,12 @@ tensor([[[1., 1., 1.,  ..., 1., 1., 1.],
         # test non-contiguous inputs and weights
         inputs = torch.tensor([[0, 0], [3, 1], [2, 1], [1, 1], [3, 4]], device=device)
         weights = torch.tensor([[.1, 1], [.2, 2], [.3, 3], [.4, 4], [.5, 5]], device=device)
-        print(inputs[:, 1])
-        print(weights[:, 1])
         for i in [0, 1]:
             assert not inputs[:, i].is_contiguous(), "Inputs are supposed to be non-contiguous"
             assert not weights[:, i].is_contiguous(), "Weights are supposed to be non-contiguous"
         # inputs are non-contiguous but weights are contiguous
         self.assertEqual(inputs[:, 0].bincount(), torch.tensor([1, 1, 1, 2]))
         # inputs and weights are non-contiguous
-        print(inputs[:, 1].bincount(weights[:, 1]))
         self.assertEqual(inputs[:, 1].bincount(weights[:, 1]), torch.tensor([1, 9, 0, 0, 5]))
         # weights are non-contiguous but inputs are contiguous
         self.assertEqual(inputs[:, 1].contiguous().bincount(weights[:, 1]),