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Intelligent Mobile Projects with TensorFlow

You're reading from   Intelligent Mobile Projects with TensorFlow Build 10+ Artificial Intelligence apps using TensorFlow Mobile and Lite for iOS, Android, and Raspberry Pi

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788834544
Length 404 pages
Edition 1st Edition
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Author (1):
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Jeff Tang Jeff Tang
Author Profile Icon Jeff Tang
Jeff Tang
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Table of Contents (14) Chapters Close

Preface 1. Getting Started with Mobile TensorFlow FREE CHAPTER 2. Classifying Images with Transfer Learning 3. Detecting Objects and Their Locations 4. Transforming Pictures with Amazing Art Styles 5. Understanding Simple Speech Commands 6. Describing Images in Natural Language 7. Recognizing Drawing with CNN and LSTM 8. Predicting Stock Price with RNN 9. Generating and Enhancing Images with GAN 10. Building an AlphaZero-like Mobile Game App 11. Using TensorFlow Lite and Core ML on Mobile 12. Developing TensorFlow Apps on Raspberry Pi 13. Other Books You May Enjoy

Using the GAN models in iOS

If you try to use the TensorFlow pod in your iOS app and load the gan_mnist.pb file, you'll get an error:

Could not create TensorFlow Graph: Invalid argument: No OpKernel was registered to support Op 'RandomStandardNormal' with these attrs. Registered devices: [CPU], Registered kernels:
<no registered kernels>
[[Node: z_1/RandomStandardNormal = RandomStandardNormal[T=DT_INT32, _output_shapes=[[50,100]], dtype=DT_FLOAT, seed=0, seed2=0](z_1/shape)]]

Make sure your tensorflow/contrib/makefile/tf_op_files.txt file has tensorflow/core/kernels/random_op.cc, which implements the RandomStandardNormal operation, and the libtensorflow-core.a is built with tensorflow/contrib/makefile/build_all_ios.sh after the line is added to tf_op_files.txt.

Furthermore, if you try to load the pix2pix_transformed_memmapped.pb even in the custom TensorFlow...

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