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# SPDX-FileCopyrightText: Copyright 2024, Arm Limited and/or its affiliates.
# SPDX-License-Identifier: Apache-2.0
"""Example rewrite with one fully connected 2:4 sparsity layer."""
from typing import Any
import tensorflow_model_optimization as tfmot
from keras.api._v2 import keras # Temporary workaround for now: MLIA-1107
def get_keras_model(input_shape: Any, output_shape: Any) -> keras.Model:
"""Generate TensorFlow Lite model for rewrite."""
model = tfmot.sparsity.keras.prune_low_magnitude(
to_prune=keras.Sequential(
[
keras.layers.InputLayer(input_shape=input_shape),
keras.layers.Reshape([-1]),
keras.layers.Dense(output_shape),
]
),
sparsity_m_by_n=(2, 4),
)
return model
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