diff options
Diffstat (limited to 'src/mlia/nn/rewrite/library/sparsity.py')
| -rw-r--r-- | src/mlia/nn/rewrite/library/sparsity.py | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/src/mlia/nn/rewrite/library/sparsity.py b/src/mlia/nn/rewrite/library/sparsity.py index 709593a..745fa8b 100644 --- a/src/mlia/nn/rewrite/library/sparsity.py +++ b/src/mlia/nn/rewrite/library/sparsity.py @@ -1,6 +1,6 @@ # SPDX-FileCopyrightText: Copyright 2024, Arm Limited and/or its affiliates. # SPDX-License-Identifier: Apache-2.0 -"""Example rewrite with one fully connected clustered layer.""" +"""Rewrite functions used to return layers ready for sparse pruning.""" from typing import Any import tensorflow_model_optimization as tfmot @@ -10,7 +10,7 @@ from mlia.nn.rewrite.library.helper_functions import compute_conv2d_parameters def fc_sparsity_rewrite(input_shape: Any, output_shape: Any) -> keras.Model: - """Generate TensorFlow Lite model for rewrite.""" + """Fully connected TensorFlow Lite model ready for sparse pruning.""" model = tfmot.sparsity.keras.prune_low_magnitude( to_prune=keras.Sequential( [ @@ -26,7 +26,7 @@ def fc_sparsity_rewrite(input_shape: Any, output_shape: Any) -> keras.Model: def conv2d_sparsity_rewrite(input_shape: Any, output_shape: Any) -> keras.Model: - """Generate TensorFlow Lite model for rewrite.""" + """Conv2d TensorFlow Lite model ready for sparse pruning.""" conv2d_parameters = compute_conv2d_parameters( input_shape=input_shape, output_shape=output_shape ) |