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author | Gergely Nagy <gergely.nagy@arm.com> | 2023-11-21 12:29:38 +0000 |
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committer | Gergely Nagy <gergely.nagy@arm.com> | 2023-12-07 17:09:31 +0000 |
commit | 54eec806272b7574a0757c77a913a369a9ecdc70 (patch) | |
tree | 2e6484b857b2a68279a2707dbb21e5c26685f4e2 /tests/test_nn_tensorflow_optimizations_pruning.py | |
parent | 7c50f1d6367186c03a282ac7ecb8fca0f905ba30 (diff) | |
download | mlia-54eec806272b7574a0757c77a913a369a9ecdc70.tar.gz |
MLIA-835 Invalid JSON output
TFLiteConverter was producing log messages in the output that was not
possible to capture and redirect to logging.
The solution/workaround is to run it as a subprocess.
This change required some refactoring around existing invocations of
the converter.
Change-Id: I394bd0d49d36e6686cfcb9d658e4aad05326cb87
Signed-off-by: Gergely Nagy <gergely.nagy@arm.com>
Diffstat (limited to 'tests/test_nn_tensorflow_optimizations_pruning.py')
-rw-r--r-- | tests/test_nn_tensorflow_optimizations_pruning.py | 7 |
1 files changed, 3 insertions, 4 deletions
diff --git a/tests/test_nn_tensorflow_optimizations_pruning.py b/tests/test_nn_tensorflow_optimizations_pruning.py index d97b3d3..9afc3ff 100644 --- a/tests/test_nn_tensorflow_optimizations_pruning.py +++ b/tests/test_nn_tensorflow_optimizations_pruning.py @@ -1,4 +1,4 @@ -# SPDX-FileCopyrightText: Copyright 2022, Arm Limited and/or its affiliates. +# SPDX-FileCopyrightText: Copyright 2022-2023, Arm Limited and/or its affiliates. # SPDX-License-Identifier: Apache-2.0 """Test for module optimizations/pruning.""" from __future__ import annotations @@ -11,9 +11,8 @@ from numpy.core.numeric import isclose from mlia.nn.tensorflow.optimizations.pruning import Pruner from mlia.nn.tensorflow.optimizations.pruning import PruningConfiguration +from mlia.nn.tensorflow.tflite_convert import convert_to_tflite from mlia.nn.tensorflow.tflite_metrics import TFLiteMetrics -from mlia.nn.tensorflow.utils import convert_to_tflite -from mlia.nn.tensorflow.utils import save_tflite_model from tests.utils.common import get_dataset from tests.utils.common import train_model @@ -52,7 +51,7 @@ def _get_tflite_metrics( ) -> TFLiteMetrics: """Save model as TFLiteModel and return metrics.""" temp_file = path / tflite_fn - save_tflite_model(convert_to_tflite(model), temp_file) + convert_to_tflite(model, output_path=temp_file) return TFLiteMetrics(str(temp_file)) |