self.file_path = root_dir + '\\test_data\\test_yaml_data.yaml' 解决方法 右键查看文件属性发现,该yaml文件在系统中无后缀 因此修改路径,去掉.yaml: self.file_path = root_dir + '\\test_data\\test_yaml_data' 运行成功
用户可以通过JSON或YAML文件来定义一个Template,再通过oc create -f <fi lename>命令在OpenShift容器平台中创建该Template对象。通过oc get template命令可查看当前Project中的Template对象列表。 [root@master1~]# oc get template NAME DESCRIPTION PARAMETERS OBJECTS jenkins-ephemeral Jenkins service, without persiste...
对外访问名称:text-embedding-ada-002(该名称可自定义,在 models/embeddings.yaml 中配置。 使用Dify Docker 部署方式的需要注意网络配置,确保 Dify 容器可以访问到localAI 的端点,Dify 容器内部无法访问到 localhost,需要使用宿主机 IP 地址。 LocalAI API 服务部署完毕,在 Dify 中使用接入模型 ...
YAML file by @wyy-holding Deploy Dify to Cloud Platform with a single click usingterraform Azure Global Deploy Dify to AWS withCDK AWS AWS CDK by @KevinZhao Contributing For those who'd like to contribute code, see ourContribution Guide. At the same time, please consider supporting Dify ...
xopenfalls back to Python’s built-in functions (gzip.open,lzma.open,bz2.open) if none of the other methods can be used. Reproducibility xopen writes gzip files in a reproducible manner. Normally, gzip files contain a timestamp in the file header, which means that compressing the same da...
/usr/share/openstack-tripleo-heat-templates/environments/services/my-neutron-environment.yaml 验证 创建一个外部网络 ( public1 ) 作为扁平网络,并将它与配置的物理网络 ( physnet1 ) 关联。 将其配置为共享网络(使用 --share ),以便其他用户创建直接连接到外部网络的虚拟机实例...
define a function that will make changes to the model.defmake_model_change(apiobj):apiobj.model.data['somefile.yaml']='wyxz'returnTrue# modify_and_apply will call the function and attempt to apply its changes to the model# if it returns True. If the apply is rejected by the API, th...
.当Open3d使用K4A相关的功能时,将会自动加载K4A的动态链接库...如果这个不起作用,复制 depthengine_x_x.dll, k4a.dll 和 k4arecord.dll文件到Open3d Python模块安装的路径(如果你用的Python),或者到你的C++...LD_LIBRARY_PATH,之...
The first build introduces a reworked Python Run/Debug Configurations dialog, better support for Jinja templates, and support for pytest fixture override.
conda create -n open-mmlab python=3.8 pytorch==1.10.1 torchvision==0.11.2 cudatoolkit=11.3 -c pytorch -y conda activate open-mmlab pip3 install openmim git clone https://github.com/open-mmlab/mmpretrain.git cd mmpretrain mim install -e . ...