| # Copyright © 2020 Arm Ltd and Contributors. All rights reserved. |
| # SPDX-License-Identifier: MIT |
| |
| import tflite_runtime.interpreter as tflite |
| import numpy as np |
| import os |
| |
| |
| def run_mock_model(delegate, test_data_folder): |
| model_path = os.path.join(test_data_folder, 'mock_model.tflite') |
| interpreter = tflite.Interpreter(model_path=model_path, |
| experimental_delegates=[delegate]) |
| interpreter.allocate_tensors() |
| |
| # Get input and output tensors. |
| input_details = interpreter.get_input_details() |
| output_details = interpreter.get_output_details() |
| |
| # Test model on random input data. |
| input_shape = input_details[0]['shape'] |
| input_data = np.array(np.random.random_sample(input_shape), dtype=np.uint8) |
| interpreter.set_tensor(input_details[0]['index'], input_data) |
| |
| interpreter.invoke() |