April 2019
Intermediate to advanced
250 pages
6h 34m
English
Content preview from PyTorch Deep Learning Hands-On
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Exploring RedisAI
We have seen the optimization we can get through TorchScript, but what will we do with the optimized binary? Yes, we can load it in the C++ world and make a Go server, and load it there, but that's still painful.
Redis Labs and Orobix brought us another solution called RedisAI. It is a highly optimized runtime built on top of LibTorch and can accept compiled TorchScript binaries for serving through the Redis protocol. For people who don't have prior experience with Redis, http://redis.io has good documentation and the introduction doc given there [3] should be a good start.
RedisAI comes with three options to configure three backends: PyTorch, TensorFlow, and ONNX Runtime. It doesn't stop there: RedisAI uses DLPack in the ...
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