# 创建TFJob
#### 功能介绍
创建TFJob。
TFJob即Tensorflow任务，是基于Tensorflow开源框架的kubernetes自定义资源类型，有多种角色可以配置，能够帮助您更简单地实现Tensorflow的单机或分布式训练。Tensorflow开源框架的信息详见：[https://www.tensorflow.org](https://www.tensorflow.org/) 。
#### URI
POST /apis/kubeflow.org/v1/namespaces/{namespace}/tfjobs
表1Path参数 
| 参数        | 是否必选 | 描述                                                         |
|:---|:---|:---|
| namespace | Yes  | object name and auth scope, such as for teams and projects |
   
表2Query参数 
| 参数     | 是否必选 | 描述                                            |
|:---|:---|:---|
| pretty | No   | If 'true', then the output is pretty printed. |
   
#### 请求消息
**请求参数**：
请求参数的详细描述请参见[表154](https://support.huaweicloud.com/api-cci/cci_02_0074.html#cci_02_0074__table2587194916400)。
**请求示例：**
```
{
    "apiVersion": "kubeflow.org/v1",
    "kind": "TFJob",
    "metadata": {
        "name": "tfjob-test"
    },
    "spec": {
        "backoffLimit": 6,
        "tfReplicaSpecs": {
            "Ps": {
                "replicas": 1,
                "template": {
                    "spec": {
                        "containers": [
                            {
                                "args": [
                                    "python",
                                    "/opt/tf-benchmarks/scripts/tf_cnn_benchmarks/tf_cnn_benchmarks.py",
                                    "--batch_size=1",
                                    "--model=resnet50",
                                    "--variable_update=parameter_server",
                                    "--flush_stdout=true",
                                    "--num_gpus=1",
                                    "--local_parameter_device=cpu",
                                    "--device=cpu",
                                    "--data_format=NHWC"
                                ],
                                "image": "*.*.*.215:20202/cci/tf-benchmarks-cpu:v1",
                                "name": "tensorflow",
                                "ports": [
                                    {
                                        "containerPort": 2222,
                                        "name": "tfjob-port"
                                    }
                                ],
                                "resources": {
                                    "limits": {
                                        "cpu": "2",
                                        "memory": "4Gi"
                                    },
                                    "requests": {
                                        "cpu": "2",
                                        "memory": "4Gi"
                                    }
                                }
                            }
                        ],
                        "restartPolicy": "OnFailure",
                        "imagePullSecrets": [
                            {
                                "name": "imagepull-secret"
                            }
                        ]
                    }
                }
            },
            "Worker": {
                "replicas": 1,
                "template": {
                    "spec": {
                        "containers": [
                            {
                                "args": [
                                    "python",
                                    "/opt/tf-benchmarks/scripts/tf_cnn_benchmarks/tf_cnn_benchmarks.py",
                                    "--batch_size=1",
                                    "--model=resnet50",
                                    "--variable_update=parameter_server",
                                    "--flush_stdout=true",
                                    "--local_parameter_device=cpu",
                                    "--device=cpu",
                                    "--data_format=NHWC"
                                ],
                                "image": "*.*.*.215:20202/cci/tf-benchmarks-cpu:v1",
                                "name": "tensorflow",
                                "ports": [
                                    {
                                        "containerPort": 2222,
                                        "name": "tfjob-port"
                                    }
                                ],
                                "resources": {
                                    "limits": {
                                        "cpu": "2",
                                        "memory": "4Gi"
                                    },
                                    "requests": {
                                        "cpu": "2",
                                        "memory": "4Gi"
                                    }
                                }
                            }
                        ],
                        "restartPolicy": "OnFailure",
                        "imagePullSecrets": [
                            {
                                "name": "imagepull-secret"
                            }
                        ]
                    }
                }
            }
        }
    }
}
```
#### 响应消息
**响应参数**：
响应参数的详细描述请参考[表154](https://support.huaweicloud.com/api-cci/cci_02_0074.html#cci_02_0074__table2587194916400)。
**响应示例：**
```
{
    "apiVersion": "kubeflow.org/v1",
    "kind": "TFJob",
    "metadata": {
        "creationTimestamp": "2019-07-23T12:39:47Z",
        "generation": 1,
        "name": "tfjob-test",
        "namespace": "kube-test",
        "resourceVersion": "72050567",
        "selfLink": "/apis/kubeflow.org/v1/namespaces/kube-test/tfjobs/tfjob-test",
        "uid": "f461f966-ad46-11e9-aaa4-340a9837e413"
    },
    "spec": {
        "backoffLimit": 6,
        "tfReplicaSpecs": {
            "Ps": {
                "replicas": 1,
                "template": {
                    "spec": {
                        "containers": [
                            {
                                "args": [
                                    "python",
                                    "/opt/tf-benchmarks/scripts/tf_cnn_benchmarks/tf_cnn_benchmarks.py",
                                    "--batch_size=1",
                                    "--model=resnet50",
                                    "--variable_update=parameter_server",
                                    "--flush_stdout=true",
                                    "--num_gpus=1",
                                    "--local_parameter_device=cpu",
                                    "--device=cpu",
                                    "--data_format=NHWC"
                                ],
                                "image": "*.*.*.215:20202/cci/tf-benchmarks-cpu:v1",
                                "name": "tensorflow",
                                "ports": [
                                    {
                                        "containerPort": 2222,
                                        "name": "tfjob-port"
                                    }
                                ],
                                "resources": {
                                    "limits": {
                                        "cpu": "2",
                                        "memory": "4Gi"
                                    },
                                    "requests": {
                                        "cpu": "2",
                                        "memory": "4Gi"
                                    }
                                }
                            }
                        ],
                        "imagePullSecrets": [
                            {
                                "name": "imagepull-secret"
                            }
                        ],
                        "restartPolicy": "OnFailure"
                    }
                }
            },
            "Worker": {
                "replicas": 1,
                "template": {
                    "spec": {
                        "containers": [
                            {
                                "args": [
                                    "python",
                                    "/opt/tf-benchmarks/scripts/tf_cnn_benchmarks/tf_cnn_benchmarks.py",
                                    "--batch_size=1",
                                    "--model=resnet50",
                                    "--variable_update=parameter_server",
                                    "--flush_stdout=true",
                                    "--local_parameter_device=cpu",
                                    "--device=cpu",
                                    "--data_format=NHWC"
                                ],
                                "image": "*.*.*.215:20202/cci/tf-benchmarks-cpu:v1",
                                "name": "tensorflow",
                                "ports": [
                                    {
                                        "containerPort": 2222,
                                        "name": "tfjob-port"
                                    }
                                ],
                                "resources": {
                                    "limits": {
                                        "cpu": "2",
                                        "memory": "4Gi"
                                    },
                                    "requests": {
                                        "cpu": "2",
                                        "memory": "4Gi"
                                    }
                                }
                            }
                        ],
                        "imagePullSecrets": [
                            {
                                "name": "imagepull-secret"
                            }
                        ],
                        "restartPolicy": "OnFailure"
                    }
                }
            }
        }
    },
    "status": {
    }
}
```
#### 状态码
表3状态码 
| 状态码 | 描述             |
|:---|:---|
| 200 | OK             |
| 201 | Created        |
| 202 | Accepted       |
| 401 | Unauthorized   |
| 400 | Badrequest     |
| 500 | Internal error |
| 403 | Forbidden      |