c7b7328cc99fd5d7c298e57c6020043451d89a61,keras/backend/theano_backend.py,,concatenate,#Any#Any#,884

Before Change

        if axis == 0:
            return th_sparse_module.basic.vstack(tensors, format="csr")
        elif axis == 1:
            return th_sparse_module.basic.hstack(tensors, format="csr")
        else:
            raise ValueError("Invalid concat axis for sparse matrix:", axis)
    else:
        return T.concatenate([to_dense(x) for x in tensors], axis=axis)

After Change

        output = T.concatenate([to_dense(x) for x in tensors], axis=axis)

    if py_all([hasattr(tensor, "_keras_shape") for tensor in tensors]):
        input_shapes = [tensor._keras_shape for tensor in tensors]
        output_shape = list(input_shapes[0])
        for shape in input_shapes[1:]:
            if output_shape[axis] is None or shape[axis] is None:
                output_shape[axis] = None
                break
            output_shape[axis] += shape[axis]
        output._keras_shape = tuple(output_shape)

    return output

Instances