Edits tensorflow model layers
Project description
TFSurgeon
Allows for dynamic tensorflow keras model edition.
You can install this package with pip and call it as from tfsurgeon import edit_model
.
How to use
- remove layers based on layer type
- remove layers based on name or index
- replace layers from one type to another
- replace specific layer (name) by another layer (callable)
see docstring for examples in src/tfsurgeon/tfsurgeon.py
.
import
from tfsurgeon import edit_model
import tensorflow as tf
model = tf.keras.applications.MobileNetV2(weights=None)
new_model = edit_model(
model=model,
replace_layers_by_types=[
[tf.keras.layers.BatchNormalization, tf.keras.layers.LayerNormalization]
],
verbose=True,
)
CLI
no supported yet
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