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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_target_cortex_a_operators.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_target_cortex_a_operators.py')
-rw-r--r-- | tests/test_target_cortex_a_operators.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/tests/test_target_cortex_a_operators.py b/tests/test_target_cortex_a_operators.py index 56d6c7b..16cdca5 100644 --- a/tests/test_target_cortex_a_operators.py +++ b/tests/test_target_cortex_a_operators.py @@ -6,7 +6,7 @@ from pathlib import Path import pytest import tensorflow as tf -from mlia.nn.tensorflow.utils import convert_to_tflite +from mlia.nn.tensorflow.tflite_convert import convert_to_tflite_bytes from mlia.target.cortex_a.config import CortexAConfiguration from mlia.target.cortex_a.operators import CortexACompatibilityInfo from mlia.target.cortex_a.operators import get_cortex_a_compatibility_info @@ -52,7 +52,7 @@ def test_get_cortex_a_compatibility_info_not_compatible( ] ) keras_model.compile(optimizer="sgd", loss="mean_squared_error") - tflite_model = convert_to_tflite(keras_model, quantized=False) + tflite_model = convert_to_tflite_bytes(keras_model, quantized=False) monkeypatch.setattr( "mlia.nn.tensorflow.tflite_graph.load_tflite", lambda _p: tflite_model |