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| author | Nathan Bailey <nathan.bailey@arm.com> | 2024-03-20 08:13:39 +0000 |
|---|---|---|
| committer | Nathan Bailey <nathan.bailey@arm.com> | 2024-03-28 07:17:32 +0000 |
| commit | f3f3ab451968350b8f6df2de7c60b2c2b9320b59 (patch) | |
| tree | 05d56c8e41de9b32f8054019a21b78628151310d /tests/test_nn_tensorflow_tflite_convert.py | |
| parent | 5f063ae1cfbfa2568d2858af0a0ccaf192bb1e8d (diff) | |
| download | mlia-f3f3ab451968350b8f6df2de7c60b2c2b9320b59.tar.gz | |
feat: Update Vela version
Updates Vela Version to 3.11.0 and TensorFlow version to 2.15.1
Required keras import to change:
from keras.api._v2 import keras needed instead of calling tf.keras
Subsequently tf.keras.X needed to change to keras.X
Resolves: MLIA-1107
Signed-off-by: Nathan Bailey <nathan.bailey@arm.com>
Change-Id: I53bcaa9cdad58b0e6c311c8c6490393d33cb18bc
Diffstat (limited to 'tests/test_nn_tensorflow_tflite_convert.py')
| -rw-r--r-- | tests/test_nn_tensorflow_tflite_convert.py | 7 |
1 files changed, 4 insertions, 3 deletions
diff --git a/tests/test_nn_tensorflow_tflite_convert.py b/tests/test_nn_tensorflow_tflite_convert.py index 3125c04..81655b1 100644 --- a/tests/test_nn_tensorflow_tflite_convert.py +++ b/tests/test_nn_tensorflow_tflite_convert.py @@ -1,4 +1,4 @@ -# SPDX-FileCopyrightText: Copyright 2022-2023, Arm Limited and/or its affiliates. +# SPDX-FileCopyrightText: Copyright 2022-2024, Arm Limited and/or its affiliates. # SPDX-License-Identifier: Apache-2.0 """Test for module utils/test_utils.""" import os @@ -9,6 +9,7 @@ from unittest.mock import MagicMock import numpy as np import pytest import tensorflow as tf +from keras.api._v2 import keras # Temporary workaround for now: MLIA-1107 from mlia.nn.tensorflow import tflite_convert from mlia.nn.tensorflow.tflite_convert import convert_to_tflite @@ -40,14 +41,14 @@ def test_convert_saved_model_to_tflite(test_tf_model: Path) -> None: def test_convert_keras_to_tflite(test_keras_model: Path) -> None: """Test converting Keras model to TensorFlow Lite.""" - keras_model = tf.keras.models.load_model(str(test_keras_model)) + keras_model = keras.models.load_model(str(test_keras_model)) result = convert_to_tflite_bytes(keras_model) assert isinstance(result, bytes) def test_save_tflite_model(tmp_path: Path, test_keras_model: Path) -> None: """Test saving TensorFlow Lite model.""" - keras_model = tf.keras.models.load_model(str(test_keras_model)) + keras_model = keras.models.load_model(str(test_keras_model)) temp_file = tmp_path / "test_model_saving.tflite" convert_to_tflite(keras_model, output_path=temp_file) |