Is there any seamless way available with best fp16 performance being achieved in NV V100/P100? E.g. I've a model and implementation being trained in fp32. The App works perfectly. Now, I'd like to explore the experience of fp16. Is there any simple way to enable this.
how tensorflow inference in fp16 with model trained in fp32
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try this method, and I found inference with fp16 is faster on Pascal architecture GPU, can someone give an explanation?