Method run

caffe2/python/onnx/backend_cpp_rep.py:33–51

(self, inputs)

        return self.__core.external_inputs()

    def run(self, inputs):
        output_values = None
        if isinstance(inputs, dict):
            output_values = self.__core.run(inputs)
        elif isinstance(inputs, list) or isinstance(inputs, tuple):
            if len(inputs) != len(self.__uninitialized_inputs):
                raise RuntimeError('Expected {} values for uninitialized '
                                   'graph inputs ({}), but got {}.'.format(
                                        len(self.__uninitialized_inputs),
                                        ', '.join(self.__uninitialized_inputs),
                                        len(inputs)))
            input_map = {}
            for k, v in zip(self.__uninitialized_inputs, inputs):
                input_map[k] = v
            output_values = self.__core.run(input_map)
        else:
            # single input
            output_values = self.__core.run([inputs])
        return namedtupledict('Outputs', self.__external_outputs)(*output_values)