pytorch

879a90b3 - [ModelLoading] Use byte encoding for uint8, fp16 etc. instead of int32 (#34343)

[ModelLoading] Use byte encoding for uint8, fp16 etc. instead of int32 (#34343) Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/34343 Use byte encoding for uint8, fp16 etc. instead of int32 in TensorProto serialization/deserialization tl;dr - fp16 tensor deserialization 12x faster, serialized size 25% lower - uint8 tensor deserialization 36x faster, serialized size 25% lower Test Plan: ``` ============================================================================ caffe2/caffe2/fb/predictor/ModelLoaderBenchmark.cpprelative time/iter iters/s ============================================================================ BlobProtoInt32DeserializationFloat16 12.37ms 80.82 BlobProtoByteDeserializationFloat16 1125.46% 1.10ms 909.64 ---------------------------------------------------------------------------- BlobProtoInt32DeserializationUInt8 17.57ms 56.92 BlobProtoByteDeserializationUInt8 3629.45% 484.02us 2.07K ============================================================================ ``` Reviewed By: yinghai Differential Revision: D20137451 fbshipit-source-id: 8ed4be2286a6d4c7e134fcb0832f22bc645039a1