diff options
Diffstat (limited to 'src/mlia/nn/tensorflow/config.py')
| -rw-r--r-- | src/mlia/nn/tensorflow/config.py | 24 |
1 files changed, 19 insertions, 5 deletions
diff --git a/src/mlia/nn/tensorflow/config.py b/src/mlia/nn/tensorflow/config.py index 0a17977..44fbaef 100644 --- a/src/mlia/nn/tensorflow/config.py +++ b/src/mlia/nn/tensorflow/config.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 """Model configuration.""" from __future__ import annotations @@ -59,7 +59,15 @@ class KerasModel(ModelConfiguration): def get_keras_model(self) -> tf.keras.Model: """Return associated Keras model.""" - return tf.keras.models.load_model(self.model_path) + try: + keras_model = tf.keras.models.load_model(self.model_path) + except OSError as err: + raise RuntimeError( + f"Unable to load model content in {self.model_path}. " + f"Verify that it's a valid model file." + ) from err + + return keras_model def convert_to_tflite( self, tflite_model_path: str | Path, quantized: bool = False @@ -104,9 +112,15 @@ class TFLiteModel(ModelConfiguration): # pylint: disable=abstract-method if not num_threads: num_threads = None if not batch_size: - self.interpreter = tf.lite.Interpreter( - model_path=self.model_path, num_threads=num_threads - ) + try: + self.interpreter = tf.lite.Interpreter( + model_path=self.model_path, num_threads=num_threads + ) + except ValueError as err: + raise RuntimeError( + f"Unable to load model content in {self.model_path}. " + f"Verify that it's a valid model file." + ) from err else: # if a batch size is specified, modify the TFLite model to use this size with tempfile.TemporaryDirectory() as tmp: flatbuffer = load_fb(self.model_path) |