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[tmva][sofie] Fix Keras BinaryOp test model shapes and improve reproducibility #20875

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[tmva][sofie] Fix Keras BinaryOp test model shapes and improve reproducibility #20875

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7 changes: 4 additions & 3 deletions tmva/sofie/test/generateKerasModels.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,6 +5,7 @@

import numpy as np
import tensorflow as tf
tf.keras.utils.set_random_seed(0)
from tensorflow.keras.models import Model,Sequential
from tensorflow.keras.layers import Input,Dense,Activation,ReLU,LeakyReLU,BatchNormalization,Conv2D,Reshape,Concatenate,Add,Subtract,Multiply
from tensorflow.keras.optimizers import SGD
Expand Down Expand Up @@ -118,9 +119,9 @@ def generateBinaryOpModel():
model = Model(inputs=[input1, input2], outputs=multiply)

randomGenerator=np.random.RandomState(0)
x1_train = randomGenerator.rand(2,1)
x2_train = randomGenerator.rand(2,1)
y_train = randomGenerator.rand(2,1)
x1_train = randomGenerator.rand(2,2)
x2_train = randomGenerator.rand(2,2)
y_train = randomGenerator.rand(2,2)

model.compile(loss='mean_squared_error', optimizer=SGD(learning_rate=0.01))
model.fit([x1_train,x2_train], y_train, epochs=10, verbose=0, batch_size=2)
Expand Down