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loop instead of any
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@ -291,14 +291,16 @@ def forward(model: Tok2VecListener, inputs, is_train: bool):
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# of data.
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# When the components batch differently, we don't receive a matching
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# prediction from the upstream, so we can't predict.
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if not any(doc.tensor.size for doc in inputs):
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outputs = []
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width = model.get_dim("nO")
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for doc in inputs:
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if doc.tensor.size == 0:
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# But we do need to do *something* if the tensor hasn't been set.
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# The compromise is to at least return data of the right shape,
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# so the output is valid.
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width = model.get_dim("nO")
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outputs = [model.ops.alloc2f(len(doc), width) for doc in inputs]
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outputs.append(model.ops.alloc2f(len(doc), width))
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else:
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outputs = [doc.tensor for doc in inputs]
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outputs.append(doc.tensor)
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return outputs, lambda dX: []
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