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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_config.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_config.py')
-rw-r--r-- | tests/test_nn_tensorflow_config.py | 72 |
1 files changed, 72 insertions, 0 deletions
diff --git a/tests/test_nn_tensorflow_config.py b/tests/test_nn_tensorflow_config.py new file mode 100644 index 0000000..1ac9f97 --- /dev/null +++ b/tests/test_nn_tensorflow_config.py @@ -0,0 +1,72 @@ +# SPDX-FileCopyrightText: Copyright 2022, Arm Limited and/or its affiliates. +# SPDX-License-Identifier: Apache-2.0 +"""Tests for config module.""" +from contextlib import ExitStack as does_not_raise +from pathlib import Path +from typing import Any + +import pytest + +from mlia.nn.tensorflow.config import get_model +from mlia.nn.tensorflow.config import KerasModel +from mlia.nn.tensorflow.config import TFLiteModel +from mlia.nn.tensorflow.config import TfModel + + +def test_convert_keras_to_tflite(tmp_path: Path, test_keras_model: Path) -> None: + """Test Keras to TFLite conversion.""" + keras_model = KerasModel(test_keras_model) + + tflite_model_path = tmp_path / "test.tflite" + keras_model.convert_to_tflite(tflite_model_path) + + assert tflite_model_path.is_file() + assert tflite_model_path.stat().st_size > 0 + + +def test_convert_tf_to_tflite(tmp_path: Path, test_tf_model: Path) -> None: + """Test TensorFlow saved model to TFLite conversion.""" + tf_model = TfModel(test_tf_model) + + tflite_model_path = tmp_path / "test.tflite" + tf_model.convert_to_tflite(tflite_model_path) + + assert tflite_model_path.is_file() + assert tflite_model_path.stat().st_size > 0 + + +@pytest.mark.parametrize( + "model_path, expected_type, expected_error", + [ + ("test.tflite", TFLiteModel, does_not_raise()), + ("test.h5", KerasModel, does_not_raise()), + ("test.hdf5", KerasModel, does_not_raise()), + ( + "test.model", + None, + pytest.raises( + Exception, + match="The input model format is not supported" + r"\(supported formats: TFLite, Keras, TensorFlow saved model\)!", + ), + ), + ], +) +def test_get_model_file( + model_path: str, expected_type: type, expected_error: Any +) -> None: + """Test TFLite model type.""" + with expected_error: + model = get_model(model_path) + assert isinstance(model, expected_type) + + +@pytest.mark.parametrize( + "model_path, expected_type", [("tf_model_test_model", TfModel)] +) +def test_get_model_dir( + test_models_path: Path, model_path: str, expected_type: type +) -> None: + """Test TFLite model type.""" + model = get_model(str(test_models_path / model_path)) + assert isinstance(model, expected_type) |