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How to use 'tf convert to tensor' in Python

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onnx/keras-onnx
171@converter_func(TYPES.ExpandDims)
172def convert_tf_expand_dims(scope, operator, container):
173    oopb = OnnxOperatorBuilder(container, scope)
174    node = operator.raw_operator
175    axis = _cal_tensor_value(node.inputs[1]).tolist()
176    rank = len(_cal_tensor_shape(node.inputs[0]))
177    oopb.apply_op_with_output("apply_unsqueeze",
178                              [operator.inputs[0].full_name],
179                              operator.output_full_names,
180                              name=operator.full_name,
181                              axis=axis,
182                              rank=rank)

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