Version: master 🏃

Experiment REST API

caution

The Experiment API is in the alpha stage which is subjected to incompatible changes in future releases.

Create Experiment (Using Anonymous/Embedded Environment)

POST /api/v1/experiment

Parameters

Put ExperimentSpec in request body.

ExperimentSpec

Field Name	Type	Description	Required
meta	ExperimentMeta	Meta data of the experiment template.	o
environment	EnvironmentSpec	Environment of the experiment template.	o
spec	Map<String, ExperimentTaskSpec>	Spec of pods.	o
code	CodeSpec	Experiment codespec.	x

ExperimentMeta

Field Name	Type	Description	Required
name	String	Experiment name.	o
namespace	String	Experiment namespace.	o
framework	String	Experiemnt framework.	o
cmd	String	Command.	o
envVars	Map<String, String>	Environmental variables.	x

EnvironmentSpec

There are two types of environment: Anonymous and Predefined.

Anonymous environment: only specify dockerImage in environment spec. The container will be built on the docker image.
Embedded environment: specify name in environment spec. The container will be built on the existing environment (including dockerImage and kernalSpec).

See more details in environment api.

ExperimentTaskSpec

Field Name	Type	Description	Required
replicas	Integer	Numbers of replicas.	o
resoureces	String	Resouces of the task	o
name	String	Task name.	o
image	String	Image name.	o
cmd	String	Command.	x
envVars	Map<String, String>	Environmental variables.	x

CodeSpec

Currently only support pulling from github. HDFS, NFS and s3 are in development

Field Name	Type	Description	Required
syncMode	String (git\|hdfs\|nfs\|s3)	sync mode of code spec.	o
url	GitCodeSpec	git code spec.	x

GitCodeSpec

Pull variables supported by the git code.

Field Name	Type	Description	Required
url	String	url of git repo.	o
branch	String	the branch of git repo, default is main.	x
username	String	the username of git repo.	x
password	String	the password of git repo.	x
trustCerts	Boolean	accept a self-signed certificate host.	x

Example

Example Request

curl -X POST -H "Content-Type: application/json" -d '
{
  "meta": {
    "name": "tf-mnist-json",
    "namespace": "default",
    "framework": "TensorFlow",
    "cmd": "python /var/tf_mnist/mnist_with_summaries.py --log_dir=/train/log --learning_rate=0.01 --batch_size=150",
    "envVars": {
      "ENV_1": "ENV1"
    }
  },
  "environment": {
    "image": "apache/submarine:tf-mnist-with-summaries-1.0"
  },
  "spec": {
    "Ps": {
      "replicas": 1,
      "resources": "cpu=1,memory=1024M"
    },
    "Worker": {
      "replicas": 1,
      "resources": "cpu=1,memory=2048M"
    }
  }
}
' http://127.0.0.1:32080/api/v1/experiment

Example Response

{
  "status":"OK",
  "code":200,
  "success":true,
  "message":null,
  "result":{
    "experimentId":"experiment-1647192232698-0001",
    "uid":"b0ae271b-a01a-43ad-9877-4b8ecbc45de4",
    "status":"Accepted",
    "acceptedTime":"2022-03-14T16:03:10.000+08:00",
    "createdTime":null,
    "runningTime":null,
    "finishedTime":null,
    "spec":{
      "meta":{
        "experimentId":"experiment-1647192232698-0001",
        "name":"tf-mnist-json",
        "namespace":"default",
        "framework":"TensorFlow",
        "cmd":"python /var/tf_mnist/mnist_with_summaries.py --log_dir\u003d/train/log --learning_rate\u003d0.01 --batch_size\u003d150",
        "envVars":{
          "ENV_1":"ENV1"
        },
        "tags":[]
      },
      "environment":{
        "name":null,
        "dockerImage":null,
        "kernelSpec":null,
        "description":null,
        "image":"apache/submarine:tf-mnist-with-summaries-1.0"
      },
      "spec":{
        "Ps":{
          "replicas":1,
          "resources":"cpu\u003d1,memory\u003d1024M",
          "name":null,
          "image":null,
          "cmd":null,
          "envVars":null,
          "resourceMap":{
            "memory":"1024M",
            "cpu":"1"
          }
        },
        "Worker":{
          "replicas":1,
          "resources":"cpu\u003d1,memory\u003d2048M",
          "name":null,
          "image":null,
          "cmd":null,
          "envVars":null,
          "resourceMap":{
            "memory":"2048M",
            "cpu":"1"
          }
        }
      },
      "code":null
    }
  },
  "attributes":{}
}

List experiment

GET /api/v1/experiment

Example

Example Request

curl -X GET http://127.0.0.1:32080/api/v1/experiment

Example Response

{
  "status":"OK",
  "code":200,
  "success":true,
  "message":null,
  "result":[
    {
      "experimentId":"experiment-1647574374688-0002",
      "uid":"cf465781-6310-46d2-92b4-d20161c77d08",
      "status":"Running",
      "acceptedTime":"2022-03-18T15:51:04.000+08:00",
      "createdTime":"2022-03-18T15:51:05.000+08:00",
      "runningTime":"2022-03-18T15:51:17.000+08:00",
      "finishedTime":null,
      "spec":{
        "meta":{
          "experimentId":"experiment-1647574374688-0002",
          "name":"tf-mnist-json",
          "namespace":"default",
          "framework":"TensorFlow",
          "cmd":"python /var/tf_mnist/mnist_with_summaries.py --log_dir\u003d/train/log --learning_rate\u003d0.01 --batch_size\u003d150",
          "envVars":{
            "ENV_1":"ENV1"
          },
          "tags":[]
        },
        "environment":{
          "name":null,
          "dockerImage":null,
          "kernelSpec":null,
          "description":null,
          "image":"apache/submarine:tf-mnist-with-summaries-1.0"
        },
        "spec":{
          "Ps":{
            "replicas":1,
            "resources":"cpu\u003d1,memory\u003d1024M",
            "name":null,
            "image":null,
            "cmd":null,
            "envVars":null,
            "resourceMap":{
              "memory":"1024M",
              "cpu":"1"
            }
          },
          "Worker":{
            "replicas":1,
            "resources":"cpu\u003d1,memory\u003d2048M",
            "name":null,
            "image":null,
            "cmd":null,
            "envVars":null,
            "resourceMap":{
              "memory":"2048M",
              "cpu":"1"
            }
          }
        },
        "code":null
      }
    }
  ],
  "attributes":{}
}

Get experiment

GET /api/v1/experiment/{id}

Parameters

Field Name	Type	In	Description	Required
id	String	path	Experiment id.	o

Example

Example Request

curl -X GET http://127.0.0.1:32080/api/v1/experiment/experiment-1647574374688-0002

Example Response

{
  "status":"OK",
  "code":200,
  "success":true,
  "message":null,
  "result":{
    "experimentId":"experiment-1647574374688-0002",
    "uid":"cf465781-6310-46d2-92b4-d20161c77d08",
    "status":"Running",
    "acceptedTime":"2022-03-18T15:51:04.000+08:00",
    "createdTime":"2022-03-18T15:51:05.000+08:00",
    "runningTime":"2022-03-18T15:51:17.000+08:00",
    "finishedTime":null,
    "spec":{
      "meta":{
        "experimentId":"experiment-1647574374688-0002",
        "name":"tf-mnist-json",
        "namespace":"default",
        "framework":"TensorFlow",
        "cmd":"python /var/tf_mnist/mnist_with_summaries.py --log_dir\u003d/train/log --learning_rate\u003d0.01 --batch_size\u003d150",
        "envVars":{
          "ENV_1":"ENV1"
        },
        "tags":[]
      },
      "environment":{
        "name":null,
        "dockerImage":null,
        "kernelSpec":null,
        "description":null,
        "image":"apache/submarine:tf-mnist-with-summaries-1.0"
      },
      "spec":{
        "Ps":{
          "replicas":1,
          "resources":"cpu\u003d1,memory\u003d1024M",
          "name":null,
          "image":null,
          "cmd":null,
          "envVars":null,
          "resourceMap":{
            "memory":"1024M",
            "cpu":"1"
          }
        },
        "Worker":{
          "replicas":1,
          "resources":"cpu\u003d1,memory\u003d2048M",
          "name":null,
          "image":null,
          "cmd":null,
          "envVars":null,
          "resourceMap":{
            "memory":"2048M",
            "cpu":"1"
          }
        }
      },
      "code":null
    }
  },
  "attributes":{}
}

Patch experiment

PATCH /api/v1/experiment/{id}

Parameters

Field Name	Type	In	Description	Required
id	String	path	Experiment id.	o
meta	ExperimentMeta	body	Meta data of the experiment template.	o
environment	EnvironmentSpec	body	Environment of the experiment template.	o
spec	Map<String, ExperimentTaskSpec>	body	Spec of pods.	o
code	CodeSpec	body	Experiment codespec.	x

Example

Example Request

curl -X PATCH -H "Content-Type: application/json" -d '
{
  "meta": {
    "name": "tf-mnist-json",
    "namespace": "default",
    "framework": "TensorFlow",
    "cmd": "python /var/tf_mnist/mnist_with_summaries.py --log_dir=/train/log --learning_rate=0.01 --batch_size=150",
      "envVars": {
      "ENV_1": "ENV1"
    }
  },
  "environment": {
    "image": "apache/submarine:tf-mnist-with-summaries-1.0"
  },
  "spec": {
    "Ps": {
      "replicas": 1,
      "resources": "cpu=1,memory=1024M"
    },
    "Worker": {
      "replicas": 2,
      "resources": "cpu=1,memory=2048M"
    }
  }
}
' http://127.0.0.1:32080/api/v1/experiment/experiment-1647574374688-0002

Example Response

{
  "status":"OK",
  "code":200,
  "success":true,
  "message":null,
  "result":{
    "experimentId":"experiment-1647574374688-0002",
    "uid":"b0ae271b-a01a-43ad-9877-4b8ecbc45de4",
    "status":"Succeeded",
    "acceptedTime":"2022-04-04T16:39:25.000+08:00",
    "createdTime":"2022-04-04T16:39:26.000+08:00",
    "runningTime":"2022-04-04T16:39:35.000+08:00",
    "finishedTime":"2022-04-04T16:42:25.000+08:00",
    "spec":{
      "meta":{
        "experimentId":"experiment-1649061491590-0002",
        "name":"tf-mnist-json",
        "namespace":"default",
        "framework":"TensorFlow",
        "cmd":"python /var/tf_mnist/mnist_with_summaries.py --log_dir\u003d/train/log --learning_rate\u003d0.01 --batch_size\u003d150",
        "envVars":{
          "ENV_1":"ENV1"
        },
        "tags":[]
      },
      "environment":{
        "name":null,
        "dockerImage":null,
        "kernelSpec":null,
        "description":null,
        "image":"apache/submarine:tf-mnist-with-summaries-1.0"
      },
      "spec":{
        "Ps":{
          "replicas":1,
          "resources":"cpu\u003d1,memory\u003d1024M",
          "name":null,
          "image":null,
          "cmd":null,
          "envVars":null,
          "resourceMap":{
            "memory":"1024M",
            "cpu":"1"
          }
        },
        "Worker":{
          "replicas":2,
          "resources":"cpu\u003d1,memory\u003d2048M",
          "name":null,
          "image":null,
          "cmd":null,
          "envVars":null,
          "resourceMap":{
            "memory":"2048M",
            "cpu":"1"
          }
        }
      },
      "code":null
    }
  },
  "attributes":{}
}

Delete experiment

DELETE /api/v1/experiment/{id}

Parameters

Field Name	Type	In	Description	Required
id	String	path	Experiment id.	o

Example

Example Request

curl -X DELETE http://127.0.0.1:32080/api/v1/experiment/experiment-1647574374688-0002

Example Response

{
  "status":"OK",
  "code":200,
  "success":true,
  "message":null,
  "result":{
    "experimentId":"experiment-1647574374688-0002",
    "uid":"b0ae271b-a01a-43ad-9877-4b8ecbc45de4",
    "status":"Deleted",
    "acceptedTime":null,
    "createdTime":null,
    "runningTime":null,
    "finishedTime":null,
    "spec":{
      "meta":{
        "experimentId":"experiment-1647574374688-0002",
        "name":"tf-mnist-json",
        "namespace":"default",
        "framework":"TensorFlow",
        "cmd":"python /var/tf_mnist/mnist_with_summaries.py --log_dir\u003d/train/log --learning_rate\u003d0.01 --batch_size\u003d150",
        "envVars":{
          "ENV_1":"ENV1"
        },
        "tags":[]
      },
      "environment":{
        "name":null,
        "dockerImage":null,
        "kernelSpec":null,
        "description":null,
        "image":"apache/submarine:tf-mnist-with-summaries-1.0"
      },
      "spec":{
        "Ps":{
          "replicas":1,
          "resources":"cpu\u003d1,memory\u003d1024M",
          "name":null,
          "image":null,
          "cmd":null,
          "envVars":null,
          "resourceMap":{
            "memory":"1024M",
            "cpu":"1"
          }
        },
        "Worker":{
          "replicas":2,
          "resources":"cpu\u003d1,memory\u003d2048M",
          "name":null,
          "image":null,
          "cmd":null,
          "envVars":null,
          "resourceMap":{
            "memory":"2048M",
            "cpu":"1"
          }
        }
      },
      "code":null
    }
  },
  "attributes":{}
}

List experiment Log

GET /api/v1/experiment/logs

Example

Example Request

curl -X GET http://127.0.0.1:32080/api/v1/experiment/logs

Example Response

{
  "status":"OK",
  "code":200,
  "success":true,
  "message":null,
  "result":[
    {
      "experimentId":"experiment-1647574374688-0002",
      "logContent":[
        {
          "podName":"experiment-1647574374688-0002-ps-0",
          "podLog":[]
        },
        {
          "podName":"experiment-1647574374688-0002-worker-0",
          "podLog":[
            
          ]
        }
      ]
    }
  ],
  "attributes":{}
}

Get experiment Log

GET /api/v1/experiment/logs/{id}

Parameters

Field Name	Type	In	Description	Required
id	String	path	Experiment id.	o

Example

Example Request

curl -X GET http://127.0.0.1:32080/api/v1/experiment/logs/experiment-1647574374688-0002

Example Response

{
  "status":"OK",
  "code":200,
  "success":true,
  "message":null,
  "result":{
    "experimentId":"experiment-1647574374688-0002",
    "logContent":[
      {
        "podName":"experiment-1647574374688-0002-ps-0",
        "podLog":[
          "WARNING:tensorflow:From /var/tf_mnist/mnist_with_summaries.py:39: read_data_sets (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.",
          "Instructions for updating:",
          "Please use alternatives such as official/mnist/dataset.py from tensorflow/models.",
          "WARNING:tensorflow:From /usr/local/lib/python2.7/dist-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:260: maybe_download (from tensorflow.contrib.learn.python.learn.datasets.base) is deprecated and will be removed in a future version.",
          "Instructions for updating:",
          "Please write your own downloading logic.",
          "WARNING:tensorflow:From /usr/local/lib/python2.7/dist-packages/tensorflow/contrib/learn/python/learn/datasets/base.py:252: wrapped_fn (from tensorflow.contrib.learn.python.learn.datasets.base) is deprecated and will be removed in a future version.",
          "Instructions for updating:",
          "Please use urllib or similar directly.",
          "WARNING:tensorflow:From /usr/local/lib/python2.7/dist-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:262: extract_images (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.",
          "Instructions for updating:",
          "Please use tf.data to implement this functionality.",
          "WARNING:tensorflow:From /usr/local/lib/python2.7/dist-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:267: extract_labels (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.",
          "Instructions for updating:",
          "Please use tf.data to implement this functionality.",
          "WARNING:tensorflow:From /usr/local/lib/python2.7/dist-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:290: __init__ (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.",
          "Instructions for updating:",
          "Please use alternatives such as official/mnist/dataset.py from tensorflow/models.",
          "2022-03-18 07:52:07.369276: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA",
          "Successfully downloaded train-images-idx3-ubyte.gz 9912422 bytes.",
          "Extracting /tmp/tensorflow/mnist/input_data/train-images-idx3-ubyte.gz",
          "Successfully downloaded train-labels-idx1-ubyte.gz 28881 bytes.",
          "Extracting /tmp/tensorflow/mnist/input_data/train-labels-idx1-ubyte.gz",
          "Successfully downloaded t10k-images-idx3-ubyte.gz 1648877 bytes.",
          "Extracting /tmp/tensorflow/mnist/input_data/t10k-images-idx3-ubyte.gz",
          "Successfully downloaded t10k-labels-idx1-ubyte.gz 4542 bytes.",
          "Extracting /tmp/tensorflow/mnist/input_data/t10k-labels-idx1-ubyte.gz",
          "Accuracy at step 0: 0.0893",
          "Accuracy at step 10: 0.6851",
          "Accuracy at step 20: 0.8255",
          "Accuracy at step 30: 0.8969",
          "Accuracy at step 40: 0.9009",
          "Accuracy at step 50: 0.9185",
          "Accuracy at step 60: 0.923",
          "Accuracy at step 70: 0.9181",
          "Accuracy at step 80: 0.9344",
          "Accuracy at step 90: 0.9265",
          "Adding run metadata for 99",
          "Accuracy at step 100: 0.9375",
          "Accuracy at step 110: 0.9414",
          "Accuracy at step 120: 0.9402",
          "Accuracy at step 130: 0.9466",
          "Accuracy at step 140: 0.9412",
          "Accuracy at step 150: 0.9497",
          "Accuracy at step 160: 0.9477",
          "Accuracy at step 170: 0.9465",
          "Accuracy at step 180: 0.9546",
          "Accuracy at step 190: 0.9485",
          "Adding run metadata for 199",
          "Accuracy at step 200: 0.9534",
          "Accuracy at step 210: 0.9581",
          "Accuracy at step 220: 0.9418",
          "Accuracy at step 230: 0.9551",
          "Accuracy at step 240: 0.9472",
          "Accuracy at step 250: 0.9555",
          "Accuracy at step 260: 0.9569",
          "Accuracy at step 270: 0.9596",
          "Accuracy at step 280: 0.9588",
          "Accuracy at step 290: 0.9618",
          "Adding run metadata for 299",
          "Accuracy at step 300: 0.9589",
          "Accuracy at step 310: 0.9603",
          "Accuracy at step 320: 0.9632",
          "Accuracy at step 330: 0.956",
          "Accuracy at step 340: 0.9531",
          "Accuracy at step 350: 0.9535",
          "Accuracy at step 360: 0.9517",
          "Accuracy at step 370: 0.9607",
          "Accuracy at step 380: 0.9629",
          "Accuracy at step 390: 0.9553",
          "Adding run metadata for 399",
          "Accuracy at step 400: 0.9623",
          "Accuracy at step 410: 0.9627",
          "Accuracy at step 420: 0.9614",
          "Accuracy at step 430: 0.9604",
          "Accuracy at step 440: 0.9663",
          "Accuracy at step 450: 0.9665",
          "Accuracy at step 460: 0.958",
          "Accuracy at step 470: 0.9643",
          "Accuracy at step 480: 0.9636",
          "Accuracy at step 490: 0.9648",
          "Adding run metadata for 499",
          "Accuracy at step 500: 0.9638",
          "Accuracy at step 510: 0.9629",
          "Accuracy at step 520: 0.9661",
          "Accuracy at step 530: 0.9633",
          "Accuracy at step 540: 0.9669",
          "Accuracy at step 550: 0.9659",
          "Accuracy at step 560: 0.9652",
          "Accuracy at step 570: 0.9675",
          "Accuracy at step 580: 0.9602",
          "Accuracy at step 590: 0.9641",
          "Adding run metadata for 599",
          "Accuracy at step 600: 0.9688",
          "Accuracy at step 610: 0.9638",
          "Accuracy at step 620: 0.9622",
          "Accuracy at step 630: 0.9601",
          "Accuracy at step 640: 0.9636",
          "Accuracy at step 650: 0.9674",
          "Accuracy at step 660: 0.9613",
          "Accuracy at step 670: 0.9706",
          "Accuracy at step 680: 0.9691",
          "Accuracy at step 690: 0.9687",
          "Adding run metadata for 699",
          "Accuracy at step 700: 0.9671",
          "Accuracy at step 710: 0.9659",
          "Accuracy at step 720: 0.9693",
          "Accuracy at step 730: 0.9698",
          "Accuracy at step 740: 0.9681",
          "Accuracy at step 750: 0.9678",
          "Accuracy at step 760: 0.9595",
          "Accuracy at step 770: 0.9697",
          "Accuracy at step 780: 0.9671",
          "Accuracy at step 790: 0.9658",
          "Adding run metadata for 799",
          "Accuracy at step 800: 0.9658",
          "Accuracy at step 810: 0.9702",
          "Accuracy at step 820: 0.9662",
          "Accuracy at step 830: 0.9671",
          "Accuracy at step 840: 0.9731",
          "Accuracy at step 850: 0.9699",
          "Accuracy at step 860: 0.9702",
          "Accuracy at step 870: 0.9686",
          "Accuracy at step 880: 0.9729",
          "Accuracy at step 890: 0.968",
          "Adding run metadata for 899",
          "Accuracy at step 900: 0.9655",
          "Accuracy at step 910: 0.9731",
          "Accuracy at step 920: 0.9676",
          "Accuracy at step 930: 0.9667",
          "Accuracy at step 940: 0.9659",
          "Accuracy at step 950: 0.9689",
          "Accuracy at step 960: 0.9653",
          "Accuracy at step 970: 0.9675",
          "Accuracy at step 980: 0.974",
          "Accuracy at step 990: 0.9723",
          "Adding run metadata for 999"
        ]
      },
      {
        "podName":"experiment-1647574374688-0002-worker-0",
        "podLog":[
          "WARNING:tensorflow:From /var/tf_mnist/mnist_with_summaries.py:39: read_data_sets (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.",
          "Instructions for updating:",
          "Please use alternatives such as official/mnist/dataset.py from tensorflow/models.",
          "WARNING:tensorflow:From /usr/local/lib/python2.7/dist-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:260: maybe_download (from tensorflow.contrib.learn.python.learn.datasets.base) is deprecated and will be removed in a future version.",
          "Instructions for updating:",
          "Please write your own downloading logic.",
          "WARNING:tensorflow:From /usr/local/lib/python2.7/dist-packages/tensorflow/contrib/learn/python/learn/datasets/base.py:252: wrapped_fn (from tensorflow.contrib.learn.python.learn.datasets.base) is deprecated and will be removed in a future version.",
          "Instructions for updating:",
          "Please use urllib or similar directly.",
          "WARNING:tensorflow:From /usr/local/lib/python2.7/dist-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:262: extract_images (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.",
          "Instructions for updating:",
          "Please use tf.data to implement this functionality.",
          "WARNING:tensorflow:From /usr/local/lib/python2.7/dist-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:267: extract_labels (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.",
          "Instructions for updating:",
          "Please use tf.data to implement this functionality.",
          "WARNING:tensorflow:From /usr/local/lib/python2.7/dist-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:290: __init__ (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.",
          "Instructions for updating:",
          "Please use alternatives such as official/mnist/dataset.py from tensorflow/models.",
          "2022-03-18 07:52:07.369085: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA",
          "Successfully downloaded train-images-idx3-ubyte.gz 9912422 bytes.",
          "Extracting /tmp/tensorflow/mnist/input_data/train-images-idx3-ubyte.gz",
          "Successfully downloaded train-labels-idx1-ubyte.gz 28881 bytes.",
          "Extracting /tmp/tensorflow/mnist/input_data/train-labels-idx1-ubyte.gz",
          "Successfully downloaded t10k-images-idx3-ubyte.gz 1648877 bytes.",
          "Extracting /tmp/tensorflow/mnist/input_data/t10k-images-idx3-ubyte.gz",
          "Successfully downloaded t10k-labels-idx1-ubyte.gz 4542 bytes.",
          "Extracting /tmp/tensorflow/mnist/input_data/t10k-labels-idx1-ubyte.gz",
          "Accuracy at step 0: 0.1348",
          "Accuracy at step 10: 0.7419",
          "Accuracy at step 20: 0.8574",
          "Accuracy at step 30: 0.8959",
          "Accuracy at step 40: 0.9135",
          "Accuracy at step 50: 0.9187",
          "Accuracy at step 60: 0.9276",
          "Accuracy at step 70: 0.9332",
          "Accuracy at step 80: 0.9399",
          "Accuracy at step 90: 0.9376",
          "Adding run metadata for 99",
          "Accuracy at step 100: 0.9378",
          "Accuracy at step 110: 0.9463",
          "Accuracy at step 120: 0.9479",
          "Accuracy at step 130: 0.9468",
          "Accuracy at step 140: 0.9467",
          "Accuracy at step 150: 0.9475",
          "Accuracy at step 160: 0.947",
          "Accuracy at step 170: 0.948",
          "Accuracy at step 180: 0.9472",
          "Accuracy at step 190: 0.954",
          "Adding run metadata for 199",
          "Accuracy at step 200: 0.9492",
          "Accuracy at step 210: 0.9571",
          "Accuracy at step 220: 0.954",
          "Accuracy at step 230: 0.9557",
          "Accuracy at step 240: 0.9557",
          "Accuracy at step 250: 0.9591",
          "Accuracy at step 260: 0.955",
          "Accuracy at step 270: 0.9595",
          "Accuracy at step 280: 0.9596",
          "Accuracy at step 290: 0.9604",
          "Adding run metadata for 299",
          "Accuracy at step 300: 0.9622",
          "Accuracy at step 310: 0.9529",
          "Accuracy at step 320: 0.9609",
          "Accuracy at step 330: 0.9613",
          "Accuracy at step 340: 0.9571",
          "Accuracy at step 350: 0.9599",
          "Accuracy at step 360: 0.9553",
          "Accuracy at step 370: 0.9546",
          "Accuracy at step 380: 0.962",
          "Accuracy at step 390: 0.96",
          "Adding run metadata for 399",
          "Accuracy at step 400: 0.9593",
          "Accuracy at step 410: 0.9641",
          "Accuracy at step 420: 0.9628",
          "Accuracy at step 430: 0.9622",
          "Accuracy at step 440: 0.9639",
          "Accuracy at step 450: 0.9592",
          "Accuracy at step 460: 0.9651",
          "Accuracy at step 470: 0.9658",
          "Accuracy at step 480: 0.9668",
          "Accuracy at step 490: 0.9641",
          "Adding run metadata for 499",
          "Accuracy at step 500: 0.9641",
          "Accuracy at step 510: 0.9561",
          "Accuracy at step 520: 0.9628",
          "Accuracy at step 530: 0.964",
          "Accuracy at step 540: 0.9663",
          "Accuracy at step 550: 0.9681",
          "Accuracy at step 560: 0.968",
          "Accuracy at step 570: 0.967",
          "Accuracy at step 580: 0.9663",
          "Accuracy at step 590: 0.9679",
          "Adding run metadata for 599",
          "Accuracy at step 600: 0.9666",
          "Accuracy at step 610: 0.9648",
          "Accuracy at step 620: 0.9682",
          "Accuracy at step 630: 0.9691",
          "Accuracy at step 640: 0.9683",
          "Accuracy at step 650: 0.966",
          "Accuracy at step 660: 0.9668",
          "Accuracy at step 670: 0.9658",
          "Accuracy at step 680: 0.9709",
          "Accuracy at step 690: 0.9632",
          "Adding run metadata for 699",
          "Accuracy at step 700: 0.9697",
          "Accuracy at step 710: 0.9632",
          "Accuracy at step 720: 0.9641",
          "Accuracy at step 730: 0.9659",
          "Accuracy at step 740: 0.9654",
          "Accuracy at step 750: 0.9694",
          "Accuracy at step 760: 0.968",
          "Accuracy at step 770: 0.9661",
          "Accuracy at step 780: 0.969",
          "Accuracy at step 790: 0.9663",
          "Adding run metadata for 799",
          "Accuracy at step 800: 0.9687",
          "Accuracy at step 810: 0.9651",
          "Accuracy at step 820: 0.9705",
          "Accuracy at step 830: 0.9645",
          "Accuracy at step 840: 0.9652",
          "Accuracy at step 850: 0.9719",
          "Accuracy at step 860: 0.9654",
          "Accuracy at step 870: 0.964",
          "Accuracy at step 880: 0.9645",
          "Accuracy at step 890: 0.9615",
          "Adding run metadata for 899",
          "Accuracy at step 900: 0.9661",
          "Accuracy at step 910: 0.9649",
          "Accuracy at step 920: 0.9569",
          "Accuracy at step 930: 0.9654",
          "Accuracy at step 940: 0.9674",
          "Accuracy at step 950: 0.971",
          "Accuracy at step 960: 0.9684",
          "Accuracy at step 970: 0.9648",
          "Accuracy at step 980: 0.9693",
          "Accuracy at step 990: 0.9627",
          "Adding run metadata for 999"
        ]
      }
    ]
  },
  "attributes":{}
}

caution

Create Experiment (Using Anonymous/Embedded Environment)​

Parameters​

ExperimentSpec​

ExperimentMeta​

EnvironmentSpec​

ExperimentTaskSpec​

CodeSpec​

GitCodeSpec​

Example​

List experiment​

Example​

Get experiment​

Parameters​

Example​

Patch experiment​

Parameters​

Example​

Delete experiment​

Parameters​

Example​

List experiment Log​

Example​

Get experiment Log​

Parameters​

Example​

Create Experiment (Using Anonymous/Embedded Environment)

Parameters

ExperimentSpec

ExperimentMeta

EnvironmentSpec

ExperimentTaskSpec

CodeSpec

GitCodeSpec

Example

List experiment

Example

Get experiment

Parameters

Example

Patch experiment

Parameters

Example

Delete experiment

Parameters

Example

List experiment Log

Example

Get experiment Log

Parameters

Example