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05-Jan-2018 |
Igor Ganichev <iga@google.com> |
Add MNIST GAN example and benchmarks
Training benchmark results on GPU:
batch_size 64 128 256
training eager rate 2640 5330 7269
training graph rate 5340 7080 8380
traning eager/graph 0.5 0.75 0.86
generating eager rate 45872 86192 142009
generating graph rate 63558 85610 104939
generating eager/graph 0.72 1.0 1.35
rate is processed/generated mnist images per second.
Eager is faster when generating because we don't need to copy "feeds"
from CPU to GPU memory.
PiperOrigin-RevId: 180885299
/external/tensorflow/tensorflow/contrib/eager/python/examples/gan/mnist.py
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