aboutsummaryrefslogtreecommitdiff
path: root/src/mlia/nn/rewrite/library/fc_layer.py
diff options
context:
space:
mode:
authorNathan Bailey <nathan.bailey@arm.com>2024-03-20 08:13:39 +0000
committerNathan Bailey <nathan.bailey@arm.com>2024-03-28 07:17:32 +0000
commitf3f3ab451968350b8f6df2de7c60b2c2b9320b59 (patch)
tree05d56c8e41de9b32f8054019a21b78628151310d /src/mlia/nn/rewrite/library/fc_layer.py
parent5f063ae1cfbfa2568d2858af0a0ccaf192bb1e8d (diff)
downloadmlia-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.py14
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