Solving IsVariableInitialized Error

idata · ‎10-25-2018

Hi Intel,

I've seen a couple of posts on the exact error that I'm getting when using mvNCCompile:

[Error 5] Toolkit Error: Stage Details Not Supported: IsVariableInitialized

(On a side note, I have attempted the same compilation using an earlier version of the ncsdk and got the error message: [Error 34] Setup Error: Values for input contain placeholder. Pass an absolute value.)

I would like to know why the compilation fails in the former case, and how to fix it, if possible. In the latter case, I understand that the network must be modified to use absolute values, but as I am using a pregenerated network, I don't think this is possible.

To generate the error, install ncsdk with version v2.08.01.02. Create a new directory and cd into it. Copy the following into a script with any name:

#!/usr/bin/env python
from keras import applications
from keras import backend as K
import tensorflow as tf

def main():
    input_shape = (512, 512, 3)
    model = application.mobilenet_v2.MobileNetV2(
        input_shape=input_shape,
        alpha=1.0,
        depth_multiplier=1,
        include_top=True,
        weights=None)
    model.summary()

    model.compile(optimizer='adam', metrics=['accuracy'], loss='categorical_crossentropy')

    K.set_learning_phase(0)
    saver = tf.train.Saver()
    sess = K.get_session()
    saver.save(sess, "./TF_Model/tf_model")

    fw = tf.summary.FileWriter("logs", sess.graph)
    fw.close()

if __name__ == '__main__':
    main()

Then run it and check the files exist in TF_Model:

python <your-filename>.py

There should be tf_model.meta in the TF_Model folder. I've looked up the names I want, so run the following command:

mvNCCompile TF_Model/tf_model.meta -in input_1 -on Logits/Softmax

This will generate the error given above. I have read that the SDK supports BatchNormalization, so it's strange that the compilation fails. Moreover, I've determined the exact output node that fails:

# Compilation is successful
mvNCCompile TF_Model/tf_model.meta -in input_1 -on bn_Conv1/moving_variance/read
# Next operation set as output node fails to compile
mvNCCompile TF_Model/tf_model.meta -in input_1 -on bn_Conv1/IsVariableInitialized

I am happy to provide any further details.