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| author | Jan Eilers <jan.eilers@arm.com> | 2020-12-15 10:42:38 +0000 |
|---|---|---|
| committer | Jim Flynn <jim.flynn@arm.com> | 2021-01-22 11:48:34 +0000 |
| commit | 2cd184763ff7f8767e751f2fe0c461714350aae6 (patch) | |
| tree | 048a95b2b571bfa3ad03eceb5dd4ccd4d0a70c06 /delegate/python/test/utils.py | |
| parent | d672f5d4386dc0545d2e484ce85b76d53edb6bc9 (diff) | |
| download | armnn-2cd184763ff7f8767e751f2fe0c461714350aae6.tar.gz | |
IVGCVSW-5571 Expose the TfLite Delegate to the TfLite python API
* Implemented external delegate adaptor interface for TfLite
* Activated armnn logging for delegate
* Added logging info to indicate if gpu tuning is turned on
* Added pytests to ensure functionality of the external delegate adaptor
* Included the delegate directory into doxygen
* Added documentation on how to use the external delegate in python
Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: Id3b4588fb0b9ac7e3f47ba2c19feead7beb58e18
Diffstat (limited to 'delegate/python/test/utils.py')
| -rw-r--r-- | delegate/python/test/utils.py | 24 |
1 files changed, 24 insertions, 0 deletions
diff --git a/delegate/python/test/utils.py b/delegate/python/test/utils.py new file mode 100644 index 0000000000..3adc24fe35 --- /dev/null +++ b/delegate/python/test/utils.py @@ -0,0 +1,24 @@ +# 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()
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