TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and support state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ r
I met a transformer which attention implementation like this: import torch import torch.nn as nn import numpy as np import torch.nn.functional as F class Model(nn.Module): def __init__(self): super(Model, self).__init__() self.query = nn...
/opt/deep_learn/tensorflow_object/vir/lib/python3.5/site-packages/tensorflow/contrib/tensorrt/_wrap_conversion.so(+0x4de8f)[0x7fd4a4380e8f] /opt/deep_learn/tensorflow_object/vir/lib/python3.5/site-packages/tensorflow/contrib/tensorrt/_wrap_conversion.so(+0x4e51a)[0x7fd4a438151a] python(PyCF...
TensorRT Version: 7.2.3.4 GPU Type: / Nvidia Driver Version: 460.32.03 CUDA Version: 11.2 CUDNN Version: 8.1.1.33 Operating System + Version: Ubuntu 18.04 Python Version (if applicable): / TensorFlow Version (if applicable): / PyTorch Version (if applicable): / Baremetal or Container ...
使用python3本地安装pymmseg-cpp或者直接使用pip安装,一直报以下错误: errorinpymmseg setup command: use_2to3isinvalid. 回到顶部 2. 原因及解决 后面看这个项目的描述,原来是一个中文分词的库,一开始是用C++写的并提供给Ruby用的,后面作者又写了python的接口,不过支持的版本一直在python 2.5+,于是在python3的...
apt install python3.10-venv 再次执行pip安装命令, 还是报错 执行命令: python3 -m venv tutorial-env 再次执行pip安装命令, 还是报错 pip安装命令中使用--force-reinstall参数: pip install --force-reinstall tensorrt-8.4.1.5-cp310-none-linux_x86_64.whl ...
高性能引擎支持:飞桨的 Paddle Inference 原生推理库作为当前 Paddle Serving 唯一支持的后端推理引擎,具备诸多高性能的特性,例如内存/显存复用、算子自动融合、TensorRT 子图以及 Paddle Lite 子图自动调用等功能。Paddle Serving 从客户端请求到服务端计算的整体流程如图 1 所示,整个底层通信都采用了高并发、低延时的 Ba...
Introduction # This page will show you how to export a YOLO model into an ONNX file to use with the ZED YOLO TensorRT inference example, or the …
To improve the post-processing efficiency of an object detection model, you can use TorchScript custom C++ operators to build the post-processing network that used to be realized in Python. Then, you can export the model and use Machine Learning Platform for AI (PAI)-Blad...
3. TensorRT使用中的一些技巧 更多FastDeploy部署模块 Benchmark测试 模型支持列表 🖥️ 服务端 模型支持列表 📳 移动端和端侧 模型支持列表 ⚛️ Web和小程序 模型支持列表 💕开发者贡献 增加新模型 快速开始💨 Python SDK快速开始(点开收缩) 🎆 快速安装 🔸 前置依赖 CUDA >= 11.2、cu...