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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_optimizations_pruning.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_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( |