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author | Benjamin Klimczak <benjamin.klimczak@arm.com> | 2022-07-11 12:33:42 +0100 |
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committer | Benjamin Klimczak <benjamin.klimczak@arm.com> | 2022-07-26 14:08:21 +0100 |
commit | 5d81f37de09efe10f90512e50252be9c36925fcf (patch) | |
tree | b4d7cdfd051da0a6e882bdfcf280fd7ca7b39e57 /tests/test_nn_tensorflow_utils.py | |
parent | 7899b908c1fe6d86b92a80f3827ddd0ac05b674b (diff) | |
download | mlia-5d81f37de09efe10f90512e50252be9c36925fcf.tar.gz |
MLIA-551 Rework remains of AIET architecture
Re-factoring the code base to further merge the old AIET code into MLIA.
- Remove last traces of the backend type 'tool'
- Controlled systems removed, including SSH protocol, controller,
RunningCommand, locks etc.
- Build command / build dir and deploy functionality removed from
Applications and Systems
- Moving working_dir()
- Replace module 'output_parser' with new module 'output_consumer' and
merge Base64 parsing into it
- Change the output consumption to optionally remove (i.e. actually
consume) lines
- Use Base64 parsing in GenericInferenceOutputParser, replacing the
regex-based parsing and remove the now unused regex parsing
- Remove AIET reporting
- Pre-install applications by moving them to src/mlia/resources/backends
- Rename aiet-config.json to backend-config.json
- Move tests from tests/mlia/ to tests/
- Adapt unit tests to code changes
- Dependencies removed: paramiko, filelock, psutil
- Fix bug in corstone.py: The wrong resource directory was used which
broke the functionality to download backends.
- Use f-string formatting.
- Use logging instead of print.
Change-Id: I768bc3bb6b2eda57d219ad01be4a8e0a74167d76
Diffstat (limited to 'tests/test_nn_tensorflow_utils.py')
-rw-r--r-- | tests/test_nn_tensorflow_utils.py | 81 |
1 files changed, 81 insertions, 0 deletions
diff --git a/tests/test_nn_tensorflow_utils.py b/tests/test_nn_tensorflow_utils.py new file mode 100644 index 0000000..6d27299 --- /dev/null +++ b/tests/test_nn_tensorflow_utils.py @@ -0,0 +1,81 @@ +# SPDX-FileCopyrightText: Copyright 2022, Arm Limited and/or its affiliates. +# SPDX-License-Identifier: Apache-2.0 +"""Test for module utils/test_utils.""" +from pathlib import Path + +import pytest +import tensorflow as tf + +from mlia.nn.tensorflow.utils import convert_to_tflite +from mlia.nn.tensorflow.utils import get_tf_tensor_shape +from mlia.nn.tensorflow.utils import is_keras_model +from mlia.nn.tensorflow.utils import is_tflite_model +from mlia.nn.tensorflow.utils import save_keras_model +from mlia.nn.tensorflow.utils import save_tflite_model + + +def test_convert_to_tflite(test_keras_model: Path) -> None: + """Test converting Keras model to TFLite.""" + keras_model = tf.keras.models.load_model(str(test_keras_model)) + tflite_model = convert_to_tflite(keras_model) + + assert tflite_model + + +def test_save_keras_model(tmp_path: Path, test_keras_model: Path) -> None: + """Test saving Keras model.""" + keras_model = tf.keras.models.load_model(str(test_keras_model)) + + temp_file = tmp_path / "test_model_saving.h5" + save_keras_model(keras_model, temp_file) + loaded_model = tf.keras.models.load_model(temp_file) + + assert loaded_model.summary() == keras_model.summary() + + +def test_save_tflite_model(tmp_path: Path, test_keras_model: Path) -> None: + """Test saving TFLite model.""" + keras_model = tf.keras.models.load_model(str(test_keras_model)) + + tflite_model = convert_to_tflite(keras_model) + + temp_file = tmp_path / "test_model_saving.tflite" + save_tflite_model(tflite_model, temp_file) + + interpreter = tf.lite.Interpreter(model_path=str(temp_file)) + assert interpreter + + +@pytest.mark.parametrize( + "model_path, expected_result", + [ + [Path("sample_model.tflite"), True], + [Path("strange_model.tflite.tfl"), False], + [Path("sample_model.h5"), False], + [Path("sample_model"), False], + ], +) +def test_is_tflite_model(model_path: Path, expected_result: bool) -> None: + """Test function is_tflite_model.""" + result = is_tflite_model(model_path) + assert result == expected_result + + +@pytest.mark.parametrize( + "model_path, expected_result", + [ + [Path("sample_model.h5"), True], + [Path("strange_model.h5.keras"), False], + [Path("sample_model.tflite"), False], + [Path("sample_model"), False], + ], +) +def test_is_keras_model(model_path: Path, expected_result: bool) -> None: + """Test function is_keras_model.""" + result = is_keras_model(model_path) + assert result == expected_result + + +def test_get_tf_tensor_shape(test_tf_model: Path) -> None: + """Test get_tf_tensor_shape with test model.""" + assert get_tf_tensor_shape(str(test_tf_model)) == [1, 28, 28, 1] |