ListExperiments - Platform For AI - Alibaba Cloud Documentation Center

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Query the experiment list based on the plan ID

Debugging

You can run this interface directly in OpenAPI Explorer, saving you the trouble of calculating signatures. After running successfully, OpenAPI Explorer can automatically generate SDK code samples.

Debug

Authorization information

There is currently no authorization information disclosed in the API.

Request parameters

Parameter	Type	Required	Description	Example
PlanId	long	No	Plan ID	189
Order	integer	No	Order	1

Response parameters

Parameter	Type	Description	Example
	object	List of experiment objects
Data	array<object>	Data
Data	object
ExperimentId	long	Experiment ID	1684537476910997506
CreateTime	long	Creation time	2024-10-22 10:18:10
UpdateTime	long	Update time	2024-10-22 10:18:10
ExperimentName	string	Experiment name	test
ExperimentType	string	Experiment type	AI
ResourceName	string	Resource name	ecs.r8y.4xlarge
WorkloadName	string	Workload name	test
StartTime	string	Task start time	2024-10-22 10:18:10
EndTime	string	Task end time	2024-10-22 10:28:10
Status	string	Status	RUNNING
Results	object	Task results
ExperimentId	long	Parameter name	440
Duration	double	Duration	20
SecondsPerIteration	double	Seconds per iteration	89
SamplesPerSecond	double	Samples per second	10
Mfu	double	MFU	34
WarningWorker	array<object>	Warning worker
WarningWorker	object
ExperimentId	long	Experiment ID	113
Hostname	string	Host IP	101.66.165.102
PodName	string	Pod name	hzs-forge-sdxl-online-7ff4d86444-pc95h
GpuNum	integer	Number of GPUs	90
GpuName	string	GPU name	8x OAM 810 GPU
WarningFlag	boolean	Whether there is an alarm	false
WarningMsg	string	Alarm message	warning msg
ErrorFlag	boolean	Whether there is an error	false
ErrorMsg	string	Error message	error msg
Tflops	double	TFLOPS value	43
SamplesPerSecond	double	Throughput	53
ErrorWorker	array<object>	Error nodes
ErrorWorker	object	Error nodes
ExperimentId	long	Experiment ID	176
Hostname	string	Host IP	etcd_cluster_c0n2
PodName	string	Pod name	fluxserv-6fc89b45cf-w8wq6
GpuNum	integer	Number of GPUs	8
GpuName	string	GPU name	8x OAM 810 GPU
WarningFlag	boolean	Whether there is an alarm	false
WarningMsg	string	Alarm information	warning msg
ErrorFlag	boolean	Whether there is an error	false
ErrorMsg	string	Error information	error msg
Tflops	double	TFLOPS value	42
SamplesPerSecond	double	Throughput	65
SetParams	object	Load parameters in operation
	string	Parameter	{}
GetParams	object	Parsed load parameters
	string	Parameter	{}
EnvParams	object	Environment parameters in operation
CpuPerWorker	integer	Number of CPUs allocated	90
GpuPerWorker	integer	Number of GPUs allocated	8
MemoryPerWorker	integer	Amount of memory (GB) allocated	500
ShareMemory	integer	Amount of shared memory (GB) allocated	500
WorkerNum	integer	Number of nodes	1
CudaVersion	string	CUDA version	1.0.0
NCCLVersion	string	NCCL version	1.0.0
GpuDriverVersion	string	GPU driver version	1.0.0
PyTorchVersion	string	PyTorch version	1.0.0
ResourceNodes	array<object>	Specified nodes
ResourceNode	object
NodeName	string	Node name	lingj1xxnjt1k4nv-mg18v52pydyuumae-0
TotalCPU	integer	Total CPU	90
TotalGPU	integer	Total GPU	8
TotalMemory	long	Total memory	500
RequestCPU	integer	Requested CPU	90
RequestGPU	integer	Requested GPU	8
RequestMemory	integer	Requested memory	500
ExtendParam	object	Additional parameters
	string	Parameter	{}
RequestId	string	Request ID	5514CB39-B7C0-5B89-8534-2DE1E0F2B7AB
AccessDeniedDetail	string	Access denied information	{}
TotalCount	long	Total	0

Examples

Sample success responses

JSONformat

{
  "Data": [
    {
      "ExperimentId": 1684537476910997500,
      "CreateTime": 0,
      "UpdateTime": 0,
      "ExperimentName": "test",
      "ExperimentType": "AI",
      "ResourceName": "ecs.r8y.4xlarge",
      "WorkloadName": "test",
      "StartTime": "2024-10-22 10:18:10",
      "EndTime": "2024-10-22 10:28:10",
      "Status": "RUNNING",
      "Results": {
        "ExperimentId": 440,
        "Duration": 20,
        "SecondsPerIteration": 89,
        "SamplesPerSecond": 10,
        "Mfu": 34,
        "WarningWorker": [
          {
            "ExperimentId": 113,
            "Hostname": "101.66.165.102",
            "PodName": "hzs-forge-sdxl-online-7ff4d86444-pc95h",
            "GpuNum": 90,
            "GpuName": "8x OAM 810 GPU",
            "WarningFlag": false,
            "WarningMsg": "warning msg",
            "ErrorFlag": false,
            "ErrorMsg": "error msg",
            "Tflops": 43,
            "SamplesPerSecond": 53
          }
        ],
        "ErrorWorker": [
          {
            "ExperimentId": 176,
            "Hostname": "etcd_cluster_c0n2",
            "PodName": "fluxserv-6fc89b45cf-w8wq6",
            "GpuNum": 8,
            "GpuName": "8x OAM 810 GPU",
            "WarningFlag": false,
            "WarningMsg": "warning msg",
            "ErrorFlag": false,
            "ErrorMsg": "error msg",
            "Tflops": 42,
            "SamplesPerSecond": 65
          }
        ]
      },
      "SetParams": {
        "key": "{}"
      },
      "GetParams": {
        "key": "{}"
      },
      "EnvParams": {
        "CpuPerWorker": 90,
        "GpuPerWorker": 8,
        "MemoryPerWorker": 500,
        "ShareMemory": 500,
        "WorkerNum": 1,
        "CudaVersion": "1.0.0",
        "NCCLVersion": "1.0.0",
        "GpuDriverVersion": "1.0.0",
        "PyTorchVersion": "1.0.0",
        "ResourceNodes": [
          {
            "NodeName": "lingj1xxnjt1k4nv-mg18v52pydyuumae-0",
            "TotalCPU": 90,
            "TotalGPU": 8,
            "TotalMemory": 500,
            "RequestCPU": 90,
            "RequestGPU": 8,
            "RequestMemory": 500
          }
        ],
        "ExtendParam": {
          "key": "{}"
        }
      }
    }
  ],
  "RequestId": "5514CB39-B7C0-5B89-8534-2DE1E0F2B7AB",
  "AccessDeniedDetail": "{}",
  "TotalCount": 0
}

Error codes

For a list of error codes, visit the Service error codes.