def inputs()

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

• 18 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_features"] = {0: "batch_size", 1: "feature_size", 2: "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:
                common_inputs["decoder_input_ids"] = {0: "batch_size"}
            else:
                common_inputs["decoder_input_ids"] = {0: "batch_size", 1: "decoder_sequence_length"}

            if self.use_past_in_inputs:
                self.add_past_key_values(common_inputs, direction="inputs")

        if self._behavior is ConfigBehavior.DECODER:
            common_inputs["encoder_outputs"] = {
                0: "batch_size",
                1: f"encoder_sequence_length / {(2 * self._config.num_conv_layers)}",
            }

        return common_inputs