You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Description: "Image Name. \nExample value: image-xxx. If using a built-in image (ImageType is built-in), the ImageName for different frameworks is: machine-learning: pytorch-v2.5.1, scikit-learn-v1.6.0, tensorflow-v2.18.0, python: python-v3.10, spark-m: Standard-S 1.1.",
Copy file name to clipboardExpand all lines: website/docs/r/dlc_standard_engine_resource_group.html.markdown
+4-4Lines changed: 4 additions & 4 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -13,6 +13,8 @@ Provides a resource to create a DLC standard engine resource group
13
13
14
14
~> **NOTE:** If you are creating a machine learning resource group for the first time, you need to contact DLC product for whitelisting.
15
15
16
+
~> **NOTE:** Field `auto_pause_time` is meaningful only when the values of fields `auto_launch` and `auto_pause` are 0.
17
+
16
18
## Example Usage
17
19
18
20
### Only SQL analysis resource group
@@ -72,10 +74,8 @@ The following arguments are supported:
72
74
*`dynamic_config_pairs` - (Optional, List) Dynamic parameters of the resource group, effective in the next task.
73
75
*`executor_cu_spec` - (Optional, String) Executor CU specifications: Currently supported: small (default, 1 CU), medium (2 CU), large (4 CU), xlarge (8 CU). Memory CUs are CPUs with a ratio of 1:8, m.small (1 CU memory), m.medium (2 CU memory), m.large (4 CU memory), and m.xlarge (8 CU memory).
74
76
*`frame_type` - (Optional, String) The framework type of the AI type resource group, machine-learning, python, spark-ml, if not filled in, the default is machine-learning.
Example value: image-xxx. If using a built-in image (ImageType is built-in), the ImageName for different frameworks is: machine-learning: pytorch-v2.5.1, scikit-learn-v1.6.0, tensorflow-v2.18.0, python: python-v3.10, spark-m: Standard-S 1.1.
79
79
*`image_type` - (Optional, String) Image type, build-in: built-in, custom: custom, if not filled in, the default is build-in.
80
80
*`image_version` - (Optional, String) Image ID.
81
81
*`max_concurrency` - (Optional, Int) The number of concurrent tasks is 5 by default.
0 commit comments