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fix: make two-stage extractor work with empty batches #56

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Jan 26, 2024
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fix: make two-stage extractor work with empty batches #56

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3 changes: 2 additions & 1 deletion rul_adapt/model/two_stage.py
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Original file line number Diff line number Diff line change
Expand Up @@ -52,7 +52,8 @@ def forward(self, inputs: torch.Tensor) -> torch.Tensor:
batch_size, upper_seq_len, input_channels, lower_seq_len = inputs.shape
inputs = inputs.reshape(-1, input_channels, lower_seq_len)
inputs = self.lower_stage(inputs)
inputs = inputs.reshape(batch_size, upper_seq_len, -1)
_, lower_output_units = inputs.shape
inputs = inputs.reshape(batch_size, upper_seq_len, lower_output_units)
inputs = torch.transpose(inputs, 1, 2)
inputs = self.upper_stage(inputs)

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4 changes: 4 additions & 0 deletions tests/test_model/test_two_stage.py
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Expand Up @@ -44,3 +44,7 @@ def test_forward_upper_lower_interaction(inputs, extractor):
outputs = extractor(inputs)

assert torch.allclose(upper_outputs, outputs[3])


def test_forward_with_empty_input(extractor):
output = extractor(torch.empty(0, 4, 3, 64))
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