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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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					        # of data.
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        # When the components batch differently, we don't receive a matching
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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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					        # 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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            # But we do need to do *something* if the tensor hasn't been set.
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					        width = model.get_dim("nO")
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            # The compromise is to at least return data of the right shape,
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					        for doc in inputs:
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            # so the output is valid.
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					            if doc.tensor.size == 0:
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            width = model.get_dim("nO")
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					                # But we do need to do *something* if the tensor hasn't been set.
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            outputs = [model.ops.alloc2f(len(doc), width) for doc in inputs]
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					                # The compromise is to at least return data of the right shape,
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        else:
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					                # so the output is valid.
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            outputs = [doc.tensor 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.append(doc.tensor)
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        return outputs, lambda dX: []
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					        return outputs, lambda dX: []
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