功能介绍

查询超参搜索所有trial的结果。

调试

您可以在API Explorer中调试该接口。

URI

GET /v2/{project_id}/training-jobs/{training_job_id}/autosearch-trials

请求参数

无

响应参数

状态码： 200

请求示例

如以下查询training_job_id为5b60a667-1438-4eb5-9705-85b860e623dc的作业的所有trial的信息。

GET https://endpoint/v2/{project_id}/training-jobs/5b60a667-1438-4eb5-9705-85b860e623dc/autosearch-trials

响应示例

状态码： 200

ok

{
  "total" : 8,
  "count" : 8,
  "limit" : 50,
  "offset" : 0,
  "group_by" : "",
  "items" : {
    "header" : [ "", "done", "pid", "config", "trial_id", "training_iteration", "time_total_s", "worker_index", "reward_attr", "status", "acc", "loss", "best_reward" ],
    "data" : [ [ "0", "True", "314", "{'batch_size': 32, 'learning_rate': 0.05512301741232006, 'trial_index': 0, 'param/batch_size': 32, 'param/learning_rate': 0.05512301741232006}", "ae544174", "2", "19.477163314819336", "", "0.0625", "TERMINATED", "0.0625", "tensor(0.0754, device='cuda:0', requires_grad=True)", "0.0625" ], [ "1", "True", "315", "{'batch_size': 32, 'learning_rate': 0.0785570955603036, 'trial_index': 1, 'param/batch_size': 32, 'param/learning_rate': 0.0785570955603036}", "ae548666", "2", "3.601897954940796", "", "0.0", "TERMINATED", "0.0", "tensor(0.0760, device='cuda:0', requires_grad=True)", "0.0" ], [ "2", "True", "312", "{'batch_size': 16, 'learning_rate': 0.04015387428829642, 'trial_index': 2, 'param/batch_size': 16, 'param/learning_rate': 0.04015387428829642}", "ae54c0ea", "2", "3.5978384017944336", "", "0.1875", "TERMINATED", "0.1875", "tensor(0.1469, device='cuda:0', requires_grad=True)", "0.1875" ], [ "3", "True", "313", "{'batch_size': 32, 'learning_rate': 0.0340820322164706, 'trial_index': 3, 'param/batch_size': 32, 'param/learning_rate': 0.0340820322164706}", "ae5503c0", "2", "3.641200304031372", "", "0.25", "TERMINATED", "0.25", "tensor(0.0716, device='cuda:0', requires_grad=True)", "0.25" ], [ "4", "True", "470", "{'batch_size': 32, 'learning_rate': 0.03656488928171769, 'trial_index': 4, 'param/batch_size': 32, 'param/learning_rate': 0.03656488928171769}", "bef46590", "2", "3.6120550632476807", "", "0.09375", "TERMINATED", "0.09375", "tensor(0.0740, device='cuda:0', requires_grad=True)", "0.09375" ], [ "5", "True", "499", "{'batch_size': 32, 'learning_rate': 0.008413169003970163, 'trial_index': 5, 'param/batch_size': 32, 'param/learning_rate': 0.008413169003970163}", "bef578f4", "2", "3.6379287242889404", "", "0.1875", "TERMINATED", "0.1875", "tensor(0.0723, device='cuda:0', requires_grad=True)", "0.1875" ], [ "6", "True", "528", "{'batch_size': 64, 'learning_rate': 0.06297447200613912, 'trial_index': 6, 'param/batch_size': 64, 'param/learning_rate': 0.06297447200613912}", "bef5c584", "2", "3.711118221282959", "", "0.046875", "TERMINATED", "0.046875", "tensor(0.0381, device='cuda:0', requires_grad=True)", "0.046875" ], [ "7", "True", "557", "{'batch_size': 32, 'learning_rate': 0.04426479392014276, 'trial_index': 7, 'param/batch_size': 32, 'param/learning_rate': 0.04426479392014276}", "bef60684", "2", "3.6971280574798584", "", "0.0625", "TERMINATED", "0.0625", "tensor(0.0778, device='cuda:0', requires_grad=True)", "0.0625" ] ]
  }
}

状态码

错误码

请参见错误码。