What is the reason for the significant difference between the predicted values on the python side and those predicted by keras2c?

[LaoChang2012]

Hallo;
Here is my problem:
This is the predicted value on the python side: [[0.00516781 0.99483216]]
This is the predicted value of keras2c: 0.0138991503 0.986100852
Keras version 2.15.0
keras2c complied by QT5.12.
​The following is my network structure:

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Layer (type) Output Shape Param #

conv2d (Conv2D) (None, 43, 43, 32) 896
activation (Activation) (None, 43, 43, 32) 0
conv2d_1 (Conv2D) (None, 14, 14, 32) 9248
activation_1 (Activation) (None, 14, 14, 32) 0
max_pooling2d (MaxPooling2D) (None, 7, 7, 32) 0
dropout (Dropout) (None, 7, 7, 32) 0
conv2d_2 (Conv2D) (None, 3, 3, 64) 18496
activation_2 (Activation) (None, 3, 3, 64) 0
conv2d_3 (Conv2D) (None, 1, 1, 64) 36928
activation_3 (Activation) (None, 1, 1, 64) 0
max_pooling2d_1 (MaxPooling2D) (None, 1, 1, 64) 0
dropout_1 (Dropout) (None, 1, 1, 64) 0
flatten (Flatten) (None, 64) 0
dense (Dense) (None, 512) 33280
activation_4 (Activation) (None, 512) 0
dropout_2 (Dropout) (None, 512) 0
dense_1 (Dense) (None, 2) 1026
activation_5 (Activation) (None, 2) 0

Total params: 99874 (390.13 KB)
Trainable params: 99874 (390.13 KB)
Non-trainable params: 0 (0.00 Byte)

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Regards,
LC