diff options
Diffstat (limited to 'src/mlia/nn')
-rw-r--r-- | src/mlia/nn/tensorflow/config.py | 6 | ||||
-rw-r--r-- | src/mlia/nn/tensorflow/optimizations/select.py | 4 | ||||
-rw-r--r-- | src/mlia/nn/tensorflow/utils.py | 6 |
3 files changed, 8 insertions, 8 deletions
diff --git a/src/mlia/nn/tensorflow/config.py b/src/mlia/nn/tensorflow/config.py index 0c3133a..d7d430f 100644 --- a/src/mlia/nn/tensorflow/config.py +++ b/src/mlia/nn/tensorflow/config.py @@ -1,4 +1,4 @@ -# SPDX-FileCopyrightText: Copyright 2022, Arm Limited and/or its affiliates. +# SPDX-FileCopyrightText: Copyright 2022-2023, Arm Limited and/or its affiliates. # SPDX-License-Identifier: Apache-2.0 """Model configuration.""" from __future__ import annotations @@ -110,8 +110,8 @@ def get_model(model: str | Path) -> ModelConfiguration: if is_saved_model(model): return TfModel(model) - raise Exception( - "The input model format is not supported" + raise ValueError( + "The input model format is not supported " "(supported formats: TensorFlow Lite, Keras, TensorFlow saved model)!" ) diff --git a/src/mlia/nn/tensorflow/optimizations/select.py b/src/mlia/nn/tensorflow/optimizations/select.py index d4a8ea4..a78df12 100644 --- a/src/mlia/nn/tensorflow/optimizations/select.py +++ b/src/mlia/nn/tensorflow/optimizations/select.py @@ -1,4 +1,4 @@ -# SPDX-FileCopyrightText: Copyright 2022, Arm Limited and/or its affiliates. +# SPDX-FileCopyrightText: Copyright 2022-2023, Arm Limited and/or its affiliates. # SPDX-License-Identifier: Apache-2.0 """Module for optimization selection.""" from __future__ import annotations @@ -64,7 +64,7 @@ class OptimizationSettings(NamedTuple): self.optimization_type, next_target, self.layers_to_optimize ) - raise Exception(f"Unknown optimization type {self.optimization_type}") + raise ValueError(f"Optimization type {self.optimization_type} is unknown.") class MultiStageOptimizer(Optimizer): diff --git a/src/mlia/nn/tensorflow/utils.py b/src/mlia/nn/tensorflow/utils.py index 287e6ff..d688a63 100644 --- a/src/mlia/nn/tensorflow/utils.py +++ b/src/mlia/nn/tensorflow/utils.py @@ -1,4 +1,4 @@ -# SPDX-FileCopyrightText: Copyright 2022, Arm Limited and/or its affiliates. +# SPDX-FileCopyrightText: Copyright 2022-2023, Arm Limited and/or its affiliates. # SPDX-FileCopyrightText: Copyright The TensorFlow Authors. All Rights Reserved. # SPDX-License-Identifier: Apache-2.0 """Collection of useful functions for optimizations.""" @@ -22,7 +22,7 @@ def representative_dataset( ) -> Callable: """Sample dataset used for quantization.""" if input_shape[0] != 1: - raise Exception("Only the input batch_size=1 is supported!") + raise ValueError("Only the input batch_size=1 is supported!") def dataset() -> Iterable: for _ in range(sample_count): @@ -41,7 +41,7 @@ def get_tf_tensor_shape(model: str) -> list: default_signature = loaded.signatures[default_signature_key] inputs_tensor_info = default_signature.inputs except KeyError as err: - raise Exception(f"Signature '{default_signature_key}' not found") from err + raise KeyError(f"Signature '{default_signature_key}' not found.") from err return [ dim |