diff options
Diffstat (limited to 'tests/test_nn_tensorflow_optimizations_pruning.py')
| -rw-r--r-- | tests/test_nn_tensorflow_optimizations_pruning.py | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/tests/test_nn_tensorflow_optimizations_pruning.py b/tests/test_nn_tensorflow_optimizations_pruning.py index 9afc3ff..c942d83 100644 --- a/tests/test_nn_tensorflow_optimizations_pruning.py +++ b/tests/test_nn_tensorflow_optimizations_pruning.py @@ -1,4 +1,4 @@ -# SPDX-FileCopyrightText: Copyright 2022-2023, 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 optimizations/pruning.""" from __future__ import annotations @@ -6,7 +6,7 @@ from __future__ import annotations from pathlib import Path import pytest -import tensorflow as tf +from keras.api._v2 import keras # Temporary workaround for now: MLIA-1107 from numpy.core.numeric import isclose from mlia.nn.tensorflow.optimizations.pruning import Pruner @@ -47,7 +47,7 @@ def _test_check_sparsity(base_tflite_metrics: TFLiteMetrics) -> None: def _get_tflite_metrics( - path: Path, tflite_fn: str, model: tf.keras.Model + path: Path, tflite_fn: str, model: keras.Model ) -> TFLiteMetrics: """Save model as TFLiteModel and return metrics.""" temp_file = path / tflite_fn @@ -70,7 +70,7 @@ def test_prune_simple_model_fully( batch_size = 1 num_epochs = 1 - base_model = tf.keras.models.load_model(str(test_keras_model)) + base_model = keras.models.load_model(str(test_keras_model)) train_model(base_model) base_tflite_metrics = _get_tflite_metrics( |