I download a vgg16 model which is a .ckpt file, and I use freeze_graph commands to convert it to a .pb file. And I use "python mo_tf.py --input_model frozen_model_vgg_16.pb --output_dir \opmodel --mean_values=[103.939,116.779,123.68]" to optimize it then to generate .xml and .bin files. And the program stop with error：
[ ERROR ] Elementwise operation vgg_16/dropout6/dropout/mul has inputs of different data types: float32 and int32
[ ERROR ] Elementwise operation vgg_16/dropout7/dropout/mul has inputs of different data types: float32 and int32
[ ERROR ] List of operations that cannot be converted to Inference Engine IR:
[ ERROR ] RandomUniform (2)
[ ERROR ] vgg_16/dropout6/dropout/random_uniform/RandomUniform
[ ERROR ] vgg_16/dropout7/dropout/random_uniform/RandomUniform
[ ERROR ] Floor (2)
[ ERROR ] vgg_16/dropout6/dropout/Floor
[ ERROR ] vgg_16/dropout7/dropout/Floor
[ ERROR ] Part of the nodes was not converted to IR. Stopped.
I don't know why. Are my parameters given wrong or there's mistakes when I freeze it? I would appreciate if someone could provide your assistance.