faster transformer inference - Axtarish в Google
FasterTransformer implements a highly optimized transformer layer for both the encoder and decoder for inference. On Volta, Turing and Ampere GPUs, the ...
3 авг. 2022 г. · Triton is a stable and fast inference serving software that allows you to run inference of your ML/DL models in a simple manner with a pre-baked ...
29 нояб. 2022 г. · Learn how to optimize your Transformer-based model for faster inference in this comprehensive guide that covers techniques for reducing the ...
27 сент. 2023 г. · This blog starts with a brief description of the transformer and explains why inference depends on the sequence length.
Better Transformer is a production ready fastpath to accelerate deployment of Transformer models with high performance on CPU and GPU. The fastpath feature ...
FasterTransformer is NVIDIA's open source library designed to speed up and optimize various transformer models for greater efficiency.
The Triton backend for the FasterTransformer. This repository provides a script and recipe to run the highly optimized transformer-based encoder and decoder ...
14 февр. 2023 г. · Quantization is a technique to speed up inference by converting the floating point numbers (FP32) to lower bit widths (int8). It allows the use ... Step 1: Reduce Memory... · Step 2: Selecting the Right...
25 апр. 2023 г. · FasterTransformer enables a faster inference pipeline with lower latency and higher output than other deep learning frameworks.
30 нояб. 2022 г. · In this work we introduce speculative decoding - an algorithm to sample from autoregressive models faster without any changes to the outputs.
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