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azureml_core_workspace_connect_and_list_compute_targets.py
pythonThis quickstart connects to an existing Azure Machine Learning Workspace an
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azureml_core_workspace_connect_and_list_compute_targets.py
1from azureml.core import Workspace
2
3# Load the workspace from the saved config.json file
4# Note: This requires a config.json file in the current or parent directory
5try:
6 ws = Workspace.from_config()
7 print(f"Connected to workspace: {ws.name} at location {ws.location}")
8except Exception as e:
9 print("Could not find config.json. Please ensure you have downloaded it from the Azure Portal.")
10 print(e)
11
12# List all compute targets in the workspace
13print("Compute Targets:")
14for compute_name in ws.compute_targets:
15 compute = ws.compute_targets[compute_name]
16 print(f" - {compute_name}: {compute.type}")