1,trtModelStream);assert(trtModelStream!=nullptr);// 利用Opencv设置输入信息,引入Opencv的头文件cv::Matsrc_host(cv::Size(128,128),CV_32FC3);// deserialize the engineIRuntime*runtime=createInferRuntime(gLogger);assert(runtime!=nullptr);ICudaEngine*engine=runtime->deserialize...
Deepspeed并行框架介绍:https://github.com/wzzzd/LLM_Learning_Note/blob/main/Parallel/deepspeed.md Deepspeed是微软推出的一个开源分布式工具,其集合了分布式训练、推断、压缩等高效模块。 该工具旨在提高大规模模型训练的效率和可扩展性。它通过多种技术手段来加速训练,包括模型并行化、梯度累积、动态精度缩放、本地...
input_blob = new float[model_height * model_width * 3];const int channels = resize_image.channels();const int width = resize_image.cols;const int height = resize_image.rows;for (int c = 0; c < channels; c++) {for (int h = 0; h < height; h++) {for (int w = 0; w < ...
下载ResNet50 v2 ONNX 模型,下载地址在: https://github.com/onnx/models/blob/main/validated/vision/classification/resnet/model/resnet50-v2-7.onnx 读取路径 首先,源代码中是通过程序参数读取模型的路径和要测试的图像的路径,也可以直接赋值: // Read paths//string modelFilePath = args[0];//string ...
[root@MySQL-1~]# python /usr/local/datax/bin/datax.py-r streamreader -w streamwriter 输出: DataX(DATAX-OPENSOURCE-3.0),FromAlibaba!Copyright(C)2010-2017,AlibabaGroup.AllRightsReserved.Pleaserefer to the streamreaderdocument:https://github.com/alibaba/DataX/blob/master/streamreader/doc/stream...
Quick start地址:https://github.com/alibaba/DataX/blob/master/userGuid.md 1.8.1 System Requirement • Linux • JDK(1.8以上,推荐1.8) • Python(推荐Python2.6.X) • Apache Maven3.x (Compile DataX) 1.8.2 工具部署 方法一、直接下载DataX工具包:DataX下载地址(http://datax-opensource.oss...
若要为容器创建服务 SAS,请调用CloudBlobContainer.GetSharedAccessSignature方法。 C#复制 privatestaticstringGetContainerSasUri(CloudBlobContainer container,stringstoredPolicyName =null){stringsasContainerToken;// If no stored policy is specified, create a new access policy and define its constraints.if(stored...
-- 创建同步账号并设置密码,使其可以通过任意主机登录数据库。%表示任意主机。-- CREATE USER '同步账号'@'%' IDENTIFIED BY '密码'。-- 授权同步账号数据库的 SELECT, REPLICATION SLAVE, REPLICATION CLIENT权限。GRANTSELECT, REPLICATION SLAVE, REPLICATION CLIENTON*.*TO'同步账号'@'%'; ...
var blob = window.MSApp.createBlobFromRandomAccessStream(contentType, stream); c(blob); }); } uploadURL is the SAS from node server. I tried adding another header "x-ms-blob-type"...
create( model=model_type, messages=messages, stream=True, seed=42) print(f'query: {query}') print('response: ', end='') for chunk in stream_resp: print(chunk.choices[0].delta.content, end='', flush=True) print() """Out[0] model_type: qwen-7b-chat query: 浙江的省会在哪里?