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Fixing merge conflicts
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-18
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tests/unit/torch/test_batch.py

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@@ -57,10 +57,7 @@ def test_init_tensor_lengths(self):
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assert isinstance(sequence.lengths, dict)
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assert "default" in sequence.lengths
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assert torch.equal(sequence.lengths["default"], lengths)
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assert sequence.device() == lengths.device
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>>>>>>> f7011343 (Increase test-coverage)
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def test_init_tensor_masks(self):
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# Test when masks is a tensor
@@ -95,15 +92,12 @@ def test_init_invalid_masks(self):
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with pytest.raises(ValueError, match="Masks must be a tensor or a dictionary of tensors"):
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Sequence(lengths, masks)
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def test_device(self):
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empty_seq = Sequence({})
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with pytest.raises(ValueError, match="Sequence is empty"):
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empty_seq.device()
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>>>>>>> f7011343 (Increase test-coverage)
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class TestBatch:
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@pytest.fixture
@@ -142,10 +136,7 @@ def test_batch_init_tensor_target(self):
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assert isinstance(batch.targets, dict)
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assert "default" in batch.targets
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assert torch.equal(batch.targets["default"], targets)
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assert batch.device() == features.device
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>>>>>>> f7011343 (Increase test-coverage)
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def test_batch_init_invalid_targets(self):
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# Test when targets is not a tensor nor a dictionary of tensors

tests/unit/torch/test_block.py

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@@ -85,8 +85,6 @@ def test_repeat(self):
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with pytest.raises(ValueError, match="n must be greater than 0"):
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block.repeat(0)
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def test_repeat_with_link(self):
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block = Block(PlusOne())
@@ -114,8 +112,6 @@ def forward(self, inputs):
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inputs = torch.randn(1, 3)
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assert torch.equal(block(inputs), inputs + 1)
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>>>>>>> 77ca69b4 (Adding ParallelBlock)
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class TestParallelBlock:
@@ -224,8 +220,3 @@ def test_getitem(self):
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with pytest.raises(IndexError):
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pb["invalid_key"]
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>>>>>>> f7011343 (Increase test-coverage)
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>>>>>>> 77ca69b4 (Adding ParallelBlock)

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