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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