TensorFlow Serving启动成功后,您可以将数据发送到运行...export CC_DIR=$(realpath./confidential-computing)cd${CC_DIR}/Tensorflow_Serving/client python3./resnet_client_grpc.py-batch 1-cnum 1-loop 50-url grpc.tf-serving.service....
require_once realpath(dirname(_FILE_).'/./Log_Autoload.php');更多参考 您可以通过Composer依赖包管理工具在项目中引用日志服务SDK接口。安装Composer后,您可以参考以下任意一种方法,在项目中引用日志服务SDK。如何安装Composer,请...
jindo admin-mount<path><realpath>执行以下命令挂载OSS/OSS-HDFS路径。jindo admin-mount/jindooss oss:/<yourBucketName>/执行以下命令访问 jindo:/emr-header-1:8101/jindooss/hdfs dfs-ls jindo:/emr-header-1:8101/jindooss 等价于...
target 'Runner' do flutter_install_all_ios_pods File.dirname(File.realpath(_FILE_))pod 'AliPlayerSDK_iOS_ARTC','$version'#$version为阿里云iOS播放器SDK的版本号,例如:5.4.9.1 pod 'RtsSDK','$version'#$version为阿里云超低延时...
jindo fs-mount<path><realpath>移除挂载点。jindo fs-unmount其他命令 执行以下命令,输出当前缓存系统的信息,例如缓存大小,缓存容量等。jindo fs-report 输出信息如下:Namespace Address:127.0.0.1:8101 Rpc Port:8101 Started:Mon ...
{/onResult Callback val result=PictureSelector.obtainMultipleResult(data)...realPath).streamStartTimeMills(mVideoTrack2Duration).streamEndTimeMills(streamBean.duration).build()mVideoTrack2Duration+streamBean.duration if...
{/onResult Callback val result=PictureSelector.obtainMultipleResult(data)...realPath).streamStartTimeMills(mVideoTrack2Duration).streamEndTimeMills(streamBean.duration).build()mVideoTrack2Duration+streamBean.duration if...
target 'Runner' do flutter_install_all_ios_pods File.dirname(File.realpath(_FILE_))pod 'AliPlayerSDK_iOS_ARTC','$version'#$version为阿里云iOS端播放器SDK的版本号,例如:5.4.9.1 pod 'RtsSDK','$version'#$version为阿里云超低...
git clone https://gitee.com/cloud_cc/confidential-computing.git export CC_DIR=$(realpath./confidential-computing)复制客户端的ssl_configure和models目录到vSGX中的tf_serving目录中。scp-r user_name@192.168.XX.XX:{models} {tf_...
git clone https://gitee.com/cloud_cc/confidential-computing.git export CC_DIR=$(realpath./confidential-computing)#创建virtualenv环境,避免污染原有python软件依赖 python3-m virtualenv venv&source venv/bin/activate python3-m ...
self.model_directory=os.path.dirname(os.path.realpath(_file_))#获取模型推理使用的设备,本例中使用GPU。self.device=torch.device("cuda"if torch.cuda.is_available()else"cpu")print("device:",self.device)model_path=os.path.join...