Hello to all, I'm very new to AI and I tried different Keras model with Cube.AI to test my knowledge. In particular this one generate an "Invalid Network" error and more esplicely I see on the log this error:
2019-02-20 15:25:35,946 [INFO] AIPython:108 - Choose CNN input representation:
2019-02-20 15:25:35,946 [INFO] AIPython:108 - Set model name [network]: network
2019-02-20 15:25:35,946 [INFO] AIPython:108 - 1. Keras (Tensorflow)
2019-02-20 15:25:35,947 [INFO] AIPython:108 - 2. Lasagne (Theano)
2019-02-20 15:25:35,947 [INFO] AIPython:108 - 3. Caffe
2019-02-20 15:25:35,947 [INFO] AIPython:108 - 4. ConvNetJs
2019-02-20 15:25:35,947 [INFO] AIPython:108 -
2019-02-20 15:25:35,947 [INFO] AIPython:108 - Choose your option [1]: 1
2019-02-20 15:25:35,947 [INFO] AIPython:108 -
2019-02-20 15:25:35,947 [INFO] AIPython:108 - Provide Keras model parameters [C:/Users/c.dicaprio/Dropbox/Deep Learning on MCU/Mnist_Keras2.h5]: C:/Users/c.dicaprio/Dropbox/Deep Learning on MCU/Mnist_Keras2.h5
2019-02-20 15:25:35,948 [INFO] AIPython:108 -
2019-02-20 15:25:35,948 [INFO] AIPython:108 - Provide Keras network topology (if any) []:
2019-02-20 15:25:35,948 [INFO] AIPython:108 -
2019-02-20 15:25:35,948 [INFO] AIPython:108 - Provide path to export Platform Independent Neural Network Format (PINNR) [C:/Users/C9F25~1.DIC/AppData/Local/Temp/mxAI65611872897229049032768866819944678]: C:/Users/C9F25~1.DIC/AppData/Local/Temp/mxAI65611872897229049032768866819944678
2019-02-20 15:25:35,948 [INFO] AIPython:108 - NOT IMPLEMENTED: Input size smaller than filter kernel is not handled: (1, 28) < [5, 5]
2019-02-20 15:25:36,091 [ERROR] AIPython:134 - 2019-02-20 15:25:35.839933: I C:\tf_jenkins\workspace\rel-win\M\windows\PY\35\tensorflow\core\platform\cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX
2019-02-20 15:25:36,091 [ERROR] AIPython:134 - Using TensorFlow backend.
2019-02-20 15:25:36,105 [INFO] AIPython:149 - Python generation ended
The Keras model I used is this:
def baseline_model():
# create model
model = Sequential()
model.add(Conv2D(32, (5, 5), input_shape=(1, 28, 28), activation='relu'))
model.add(MaxPooling2D(pool_size=(2, 2)))
model.add(Dropout(0.2))
model.add(Flatten())
model.add(Dense(128, activation='relu'))
model.add(Dense(num_classes, activation='softmax'))
# Compile model
model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])
return model
It appear that the line:
model.add(Conv2D(32, (5, 5), input_shape=(1, 28, 28), activation='relu'))
is generating the error and the log indication:
[INFO] AIPython:108 - NOT IMPLEMENTED: Input size smaller than filter kernel is not handled: (1, 28) < [5, 5]
Can someone help me to understand how I need to change my model to work with the Cube.AI?
Some code I wrote here:
https://github.com/cledic/STM32F769I-Disco_ML
TIA
Clemente
