def inputs()

in optimum/exporters/onnx/config.py [0:0]

• 14 lines of code
• 6 McCabe index (conditional complexity)

    def inputs(self) -> Dict[str, Dict[int, str]]:
        common_inputs = {}
        if self._behavior is not ConfigBehavior.DECODER:
            common_inputs["input_ids"] = {0: "batch_size", 1: "encoder_sequence_length"}

        common_inputs["attention_mask"] = {0: "batch_size", 1: "encoder_sequence_length"}

        if self._behavior is not ConfigBehavior.ENCODER:
            if self.use_past_in_inputs:
                # TODO: validate the axis name for attention_mask
                # common_inputs["attention_mask"][1] = "past_encoder_sequence_length + sequence_length"
                common_inputs["decoder_input_ids"] = {0: "batch_size"}
                self.add_past_key_values(common_inputs, direction="inputs")
            else:
                common_inputs["decoder_input_ids"] = {0: "batch_size", 1: "decoder_sequence_length"}

        if self._behavior is ConfigBehavior.DECODER:
            common_inputs["encoder_outputs"] = {0: "batch_size", 1: "encoder_sequence_length"}

        return common_inputs