借助NVIDIA TensorRT,您可以通过其独有的8位量化技术无缝实现高达2倍的推理速度加速,同时确保图像质量不受损,为用户提供卓越的体验。 TensorRT在平衡速度和质量方面的承诺突显了它作为加速人工智能应用的首选之一的地位,让您能够轻松交付尖端解决方案。 在这篇Blog里,NVIDIA也详细描述了如何使用TensorRT 8位量化加速扩散模...
Get the Introductory Developer Guide See how to get started with TensorRT in this step-by-step developer and API reference guide. Read Guide Use the right inference tools to develop AI for any application on any platform. Get Started
Use the right inference tools to develop AI for any application on any platform. Get Started
If using the TensorRT OSS build container, TensorRT libraries are preinstalled under /usr/lib/x86_64-linux-gnu and you may skip this step. Else download and extract the TensorRT GA build from NVIDIA Developer Zone with the direct links below: TensorRT 10.5.0.18 for CUDA 11.8, Linux x86_64 ...
3.2. Downloading TensorRT Ensure you are a member of the NVIDIA Developer Program. If not, follow the prompts to gain access. 1. Go to: https://developer.nvidia.com/tensorrt. 2. Click GET STARTED, then click Download Now. 3. Select the version of TensorRT that you are interested ...
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference. It is designed to work in a complementary fashion with training frameworks such as TensorFlow, PyTorch, and MXNet. It focuses specifically on running an already-trained netw
最近,Bing(必应)宣布支持利用TensorRT INT8优化在Azure T4 GPU上运行其Transformer模型。从 TensorRT 8.0 开始,BERT Large 上使用 INT8 优化可以将推理延迟低至 1.2 毫秒。 来自不同框架(如PyTorch和TensorFlow)的许多Transformer模型都可以转换为ONNX(Open Neural Network Exchange:开放神经网络交换)格式,这是一种代表...
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https://www.nvidia.cn/Download/index.aspx?lang=cn https://www.geforce.cn/drivers/beta-legacy 进入上述任一网址,根据显卡类型选择适用的驱动版本,可以从下图看到,最新适配的驱动本本是NVIDIA-Linux-x86_64-460.39.run,(本人目前正使用的显卡是GTX1080Ti,下述中将使用的驱动版本为NVIDIA-Linux-x86_64-440.36....
1.1.TensorRT的好处 在训练了神经网络之后,TensorRT使网络可以作为运行时进行压缩,优化和部署,而无需框架的开销。 TensorRT根据指定的精度(FP32,FP16或INT8)组合层,优化核选择以及执行规范化和转换为优化的矩阵数学运算,以改善延迟,吞吐量和效率。 对于深度学习推理,有五个用于衡量软件的关键因素: ...