keras-merge 1.1

Allows to merge two keras.Models

Keras Merge

Keras Merge allows to merge two Keras model instances without having access to their generating functions.

Release Notes

Version	Comment
v1.1	Copying over weights from source models to merged model (active by default, disable using: km.merge(..., copy_weights=False))
v1.0	Initial Release

Usage

import keras_merge as km

from keras import Model, Input
import numpy as np
from keras.utils import plot_model

def model(mul: bool) -> Model:
    x = Input(shape=(2, 3))
    y = Input(shape=(2, 3))
    if mul: z = x * y
    else:   z = x + y
    return Model(inputs=[x, y], outputs=z)

A = model(True)
B = model(False)
C = km.merge(A, B,				# models
	[*A.inputs, B.inputs[0]],	# inputs
	B.outputs,					# outputs
	[							# mapping [(src->dst), ...]
		(A.outputs[0], B.inputs[1])
	]
)

a = np.random.rand(1, 2, 3)
b = np.random.rand(1, 2, 3)
c = np.random.rand(1, 2, 3)

d = A([a, b])
e = B([c, d])
f = C([a, b, c])

print("A+B:    ", np.reshape(e, -1))
print("Merged: ", np.reshape(f, -1))

plot_model(A, to_file='A.png')
plot_model(B, to_file='B.png')
plot_model(C, to_file='C.png')

How to build

pip3 install illyrian
illyrian keras_merge.json
pip3 install keras_merge-1.0-py3-none-any.whl