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Unverified Commit 0c72006e authored by Patrick von Platen's avatar Patrick von Platen Committed by GitHub
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fix slow tsets (#3066) 

* fix slow tsets

* make style
parent a89a14fa
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Showing with 7 additions and 3 deletions
tests/test_layers_utils.py
View file @ 0c72006e
...@@ -411,7 +411,9 @@ class Transformer2DModelTests(unittest.TestCase): ...@@ -411,7 +411,9 @@ class Transformer2DModelTests(unittest.TestCase):
assert attention_scores.shape == (1, 64, 64, 64) assert attention_scores.shape == (1, 64, 64, 64)
output_slice = attention_scores[0, -1, -3:, -3:] output_slice = attention_scores[0, -1, -3:, -3:]
expected_slice = torch.tensor([0.0143, -0.6909, -2.1547, -1.8893, 1.4097, 0.1359, -0.2521, -1.3359, 0.2598]) expected_slice = torch.tensor(
[0.0143, -0.6909, -2.1547, -1.8893, 1.4097, 0.1359, -0.2521, -1.3359, 0.2598], device=torch_device
)
assert torch.allclose(output_slice.flatten(), expected_slice, atol=1e-3) assert torch.allclose(output_slice.flatten(), expected_slice, atol=1e-3)
def test_spatial_transformer_timestep(self): def test_spatial_transformer_timestep(self):
...@@ -442,9 +444,11 @@ class Transformer2DModelTests(unittest.TestCase): ...@@ -442,9 +444,11 @@ class Transformer2DModelTests(unittest.TestCase):
output_slice_1 = attention_scores_1[0, -1, -3:, -3:] output_slice_1 = attention_scores_1[0, -1, -3:, -3:]
output_slice_2 = attention_scores_2[0, -1, -3:, -3:] output_slice_2 = attention_scores_2[0, -1, -3:, -3:]
expected_slice = torch.tensor([-0.3923, -1.0923, -1.7144, -1.5570, 1.4154, 0.1738, -0.1157, -1.2998, -0.1703]) expected_slice = torch.tensor(
[-0.3923, -1.0923, -1.7144, -1.5570, 1.4154, 0.1738, -0.1157, -1.2998, -0.1703], device=torch_device
)
expected_slice_2 = torch.tensor( expected_slice_2 = torch.tensor(
[-0.4311, -1.1376, -1.7732, -1.5997, 1.3450, 0.0964, -0.1569, -1.3590, -0.2348] [-0.4311, -1.1376, -1.7732, -1.5997, 1.3450, 0.0964, -0.1569, -1.3590, -0.2348], device=torch_device
) )
assert torch.allclose(output_slice_1.flatten(), expected_slice, atol=1e-3) assert torch.allclose(output_slice_1.flatten(), expected_slice, atol=1e-3)
......
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