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author | Nathan Bailey <nathan.bailey@arm.com> | 2024-03-20 08:13:39 +0000 |
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committer | Nathan Bailey <nathan.bailey@arm.com> | 2024-03-28 07:17:32 +0000 |
commit | f3f3ab451968350b8f6df2de7c60b2c2b9320b59 (patch) | |
tree | 05d56c8e41de9b32f8054019a21b78628151310d /src/mlia/nn/rewrite/library/fc_layer.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 'src/mlia/nn/rewrite/library/fc_layer.py')
-rw-r--r-- | src/mlia/nn/rewrite/library/fc_layer.py | 14 |
1 files changed, 7 insertions, 7 deletions
diff --git a/src/mlia/nn/rewrite/library/fc_layer.py b/src/mlia/nn/rewrite/library/fc_layer.py index 2480500..041ce85 100644 --- a/src/mlia/nn/rewrite/library/fc_layer.py +++ b/src/mlia/nn/rewrite/library/fc_layer.py @@ -1,18 +1,18 @@ -# SPDX-FileCopyrightText: Copyright 2023, Arm Limited and/or its affiliates. +# SPDX-FileCopyrightText: Copyright 2023-2024, Arm Limited and/or its affiliates. # SPDX-License-Identifier: Apache-2.0 """Example rewrite with one fully connected layer.""" from typing import Any -import tensorflow as tf +from keras.api._v2 import keras # Temporary workaround for now: MLIA-1107 -def get_keras_model(input_shape: Any, output_shape: Any) -> tf.keras.Model: +def get_keras_model(input_shape: Any, output_shape: Any) -> keras.Model: """Generate TensorFlow Lite model for rewrite.""" - model = tf.keras.Sequential( + model = keras.Sequential( ( - tf.keras.layers.InputLayer(input_shape=input_shape), - tf.keras.layers.Reshape([-1]), - tf.keras.layers.Dense(output_shape), + keras.layers.InputLayer(input_shape=input_shape), + keras.layers.Reshape([-1]), + keras.layers.Dense(output_shape), ) ) return model |