Inference 的 time measurement 如下图,加速的 4 个 tips: compilation time 加速:用 cache。 load Model 加速:使用 mmap 的 API。 inference 加速:用 CUDAGraph。因为额外的 memory cost,暂时还不是默认的配置。 import torch 加速: 手写一个 lazy modules
注:本文翻译自博客《How to Convert a Model from PyTorch to TensorRT and Speed Up Inference》。在《使用 Torch-TensorRT 在 PyTorch 中加速推理速度高达 6 倍》这篇文章中,我们通过PyTorch-->TorchScrip…
Problem torch.compile() shows an impressive ~2x speed-up for this code repo, but when applying to huggingface transformers there is barely no speed-up. I want to understand why, and then figure out how TorchInductor can also benefit HF m...
The top priority in our development process is model quality, and we don’t begin model scaling experiments until after we’ve validated the trained model against production use cases. While we experiment with strategies to accelerate inference speed, we aim for the...
AWS, Arm, Meta and others helped optimize the performance of PyTorch 2.0 inference for Arm-based processors. As a result, we are delighted to announce that AWS Graviton-based instance inference performance for PyTorch 2.0 is up to 3.5 times the speed for Resnet50 compared to the ...
Application configuration: torch_ort_infer 1.13.1, python timeit module for timing inference of models Input: Classification models: torch.Tensor; NLP models: Masked sentence; OD model: .jpg image Application Metric: Average Inference latency for 100 iterations calculated after ...
Enter the NVIDIA Data Loading Library (DALI): designed to remove the data preprocessing bottleneck, allowing for training and inference to run at full speed. DALI is primarily designed to do preprocessing on a GPU, but most operations also have a fast CPU implementation. This articles focuses on...
8082 grpc_inference_port=7070 grpc_management_port=7071 enable_metrics_api=true metrics_format=prometheus enable_envvars_config=true install_py_dep_per_model=true model_store=/mnt/models/model-store model_snapshot={"name":"startup.cfg","modelCount":1,"models":{"model_name":{"1.0":{"...
triton这个名字有点歧义哈,这里指的不是triton-server-inference,而是一个类似于TVMscript的可以通过python语法去写高性能GPU程序的,大家不要混了: image.png 无奈感慨下,深度学习编译器大繁荣的时代来了,啥都要编译来干了了,不管是之前的torchscript还是torch.fx,以及新出的TorchDynamo和TorchInductor,总之就是编译优...
The larger your batch size at inference time, the faster it will be, since more inputs can be...