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| part_eval_one.parser = argparse.ArgumentParser() |
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| part_eval_one.type |
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| part_eval_one.str |
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| part_eval_one.required |
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| part_eval_one.args = parser.parse_args() |
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| part_eval_one.driver = args.driver |
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str | part_eval_one.tflite_model = args.name + ".tflite" |
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str | part_eval_one.circle_model = args.name + ".circle" |
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str | part_eval_one.partition_conn_ini = args.name + ".conn.ini" |
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str | part_eval_one.partition_conn_json = args.name + ".conn.json" |
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str | part_eval_one.expected_count = args.name + ".excnt" |
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| part_eval_one.expected_count_line = expected_count_file.readline() |
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| part_eval_one.json_data = json.load(json_file) |
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| part_eval_one.parts_value = json_data["parts"] |
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| part_eval_one.interpreter = tf.lite.Interpreter(tflite_model) |
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| part_eval_one.full_signatures = interpreter._get_full_signature_list() |
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| part_eval_one.full_signatures_outputs_remap = None |
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| part_eval_one.signature_serving_default = full_signatures.get('serving_default', None) |
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| part_eval_one.signature_outputs = signature_serving_default['outputs'] |
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| part_eval_one.num_inputs = len(interpreter.get_input_details()) |
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| part_eval_one.input_details = interpreter.get_input_details()[i] |
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| part_eval_one.input_details_dtype = input_details["dtype"] |
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| part_eval_one.input_details_shape = input_details["shape"] |
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| part_eval_one.input_data |
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list | part_eval_one.partition_command |
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| part_eval_one.flush |
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| part_eval_one.check |
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| part_eval_one.inpt_output_details = interpreter.get_output_details() |
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| part_eval_one.output_details = inpt_output_details[idx] |
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| part_eval_one.output_dtype = output_details["dtype"] |
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| part_eval_one.output_data = np.fromfile(circle_model + ".output" + str(idx), output_dtype) |
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| part_eval_one.shape_file = open(circle_model + ".output" + str(idx) + ".shape", 'r') |
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list | part_eval_one.output_shape = [int(i) for i in shape_file.read().split(',')] |
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| part_eval_one.luci_output_data = np.reshape(output_data, output_shape) |
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| part_eval_one.output_tensor = output_details["index"] |
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| part_eval_one.intp_output_data = interpreter.get_tensor(output_tensor) |
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| part_eval_one.rtol |
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| part_eval_one.atol |
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