模型版本列表

1. 接口描述

接口请求域名： tione.tencentcloudapi.com 。

模型版本列表

默认接口请求频率限制：20次/秒。

2. 输入参数

以下请求参数列表仅列出了接口请求参数和部分公共参数，完整公共参数列表见 公共请求参数。

3. 输出参数

4. 示例

示例1 模型版本列表请求

输入示例

POST / HTTP/1.1
Host: tione.tencentcloudapi.com
Content-Type: application/json
X-TC-Action: DescribeTrainingModelVersions
<公共请求参数>

{
    "TrainingModelId": "m-608587242317024640"
}

输出示例

{
    "Response": {
        "TrainingModelVersions": [
            {
                "ReasoningEnvironment": "tione.tencentcloudcr.com/qcloud-ti-platform/ti-cloud-infer-pytorch-gpu:py38-torch1.9.0-cu111-tiacc2.5.0-2.0.2",
                "ReasoningEnvironmentId": "pytorch1.9.0-py38(gpu)",
                "TrainingModelCosPath": {
                    "Paths": [
                        "test/model/"
                    ],
                    "Region": "ap-guangzhou",
                    "Bucket": "test-bucket"
                },
                "TrainingJobId": "",
                "TrainingModelProgress": 100,
                "TrainingModelStatus": "STATUS_SUCCESS",
                "AutoClean": "false",
                "MaxReservedModels": 0,
                "TrainingModelName": "test-model",
                "AlgorithmFramework": "PYTORCH",
                "ModelCleanPeriod": 0,
                "ModelHotUpdatePath": {
                    "Paths": [
                        "test/model/"
                    ],
                    "Region": "ap-guangzhou",
                    "Bucket": "test-bucket"
                },
                "TrainingModelErrorMsg": "",
                "TrainingModelCreator": "100020000",
                "TrainingModelCreateTime": "2022-09-06T08:34:13Z",
                "TrainingModelVersion": "v1",
                "TrainingModelSource": "COS",
                "ReasoningEnvironmentSource": "SYSTEM",
                "GPUType": "",
                "TrainingModelFormat": "TORCH_SCRIPT",
                "TrainingJobName": "",
                "TrainingJobVersion": "",
                "TrainingPreference": "",
                "AutoMLTaskId": "",
                "IsQAT": false,
                "TrainingModelVersionId": "mv-v1-625097625049989888",
                "TrainingModelIndex": "",
                "TrainingModelId": "m-608587242317024640",
                "VersionType": "NORMAL",
                "ReasoningImageInfo": {
                    "ImageUrl": "",
                    "RegistryRegion": "",
                    "RegistryId": "",
                    "ImageType": "",
                    "AllowSaveAllContent": false
                },
                "CreateTime": "2022-09-29T03:17:24Z"
            }
        ],
        "RequestId": "ced11c16-fd5a-4f12-8a0b-17c7f0b14659"
    }
}

5. 开发者资源

腾讯云 API 平台

腾讯云 API 平台 是综合 API 文档、错误码、API Explorer 及 SDK 等资源的统一查询平台，方便您从同一入口查询及使用腾讯云提供的所有 API 服务。

API Inspector

用户可通过 API Inspector 查看控制台每一步操作关联的 API 调用情况，并自动生成各语言版本的 API 代码，也可前往 API Explorer 进行在线调试。

SDK

云 API 3.0 提供了配套的开发工具集（SDK），支持多种编程语言，能更方便的调用 API。

• Tencent Cloud SDK 3.0 for Python: GitHub Gitee
• Tencent Cloud SDK 3.0 for Java: GitHub Gitee
• Tencent Cloud SDK 3.0 for PHP: GitHub Gitee
• Tencent Cloud SDK 3.0 for Go: GitHub Gitee
• Tencent Cloud SDK 3.0 for Node.js: GitHub Gitee
• Tencent Cloud SDK 3.0 for .NET: GitHub Gitee
• Tencent Cloud SDK 3.0 for C++: GitHub Gitee
• Tencent Cloud SDK 3.0 for Ruby: GitHub Gitee

命令行工具

• Tencent Cloud CLI 3.0

6. 错误码

以下仅列出了接口业务逻辑相关的错误码，其他错误码详见 公共错误码。