Error submitting automl jobs to batch AI cluster












0














I'm trying to get the automl digit classification sample running on my Batch AI cluster. This cell appears to run correctly:



from azureml.core.compute import BatchAiCompute
from azureml.core.compute import ComputeTarget

# Choose a name for your cluster.
batchai_cluster_name = "nc12-cluster-04"

found = False
# Check if this compute target already exists in the workspace.
for ct_name, ct in ws.compute_targets().items():
if (ct.name == batchai_cluster_name and ct.type == 'BatchAI'):
found = True
print('Found existing compute target: {0}'.format(ct.name))
compute_target = ct
break

if not found:
print('Creating a new compute target...')
provisioning_config = BatchAiCompute.provisioning_configuration(vm_size = "STANDARD_NC12", # for GPU, use "STANDARD_NC6"
#vm_priority = 'lowpriority', # optional
autoscale_enabled = True,
cluster_min_nodes = 0,
cluster_max_nodes = 4)

# Create the cluster.
compute_target = ComputeTarget.create(ws, batchai_cluster_name, provisioning_config)

# Can poll for a minimum number of nodes and for a specific timeout.
# If no min_node_count is provided, it will use the scale settings for the cluster.
compute_target.wait_for_completion(show_output = True, min_node_count = None, timeout_in_minutes = 20)

# For a more detailed view of current Batch AI cluster status, use the 'status' property.


and I get the expected output:



Found existing compute target: nc12-cluster-04


But when I try and submit my job like this:



from azureml.core.experiment import Experiment

experiment = Experiment(ws, experiment_name)
remote_run = experiment.submit(automl_config, show_output = False)


I get this error:



~/anaconda3_501/lib/python3.6/site-packages/azureml/_restclient/operations/jasmine_operations.py in post_remote_snapshot_run(self, subscription_id, resource_group_name, workspace_name, project_name, parent_run_id, json_definition, snapshot_id, custom_headers, raw, **operation_config)
237 if response.status_code not in [200]:
--> 238 raise HttpOperationError(self._deserialize, response)
239

HttpOperationError: Operation returned an invalid status code "ErrorMessage: 'BatchAI cluster nc12-cluster-04f7543302 does not exist'. Possible cause: Remote dsvm"


Notice how the cluster name now has a suffix: nc12-cluster-04f7543302 that isn't in the compute_target passed in:



vars(compute_target)

{
...
'name': 'nc12-cluster-04',
'provisioning_errors': None,
'provisioning_state': 'Succeeded',
...
}


Any ideas?










share|improve this question



























    0














    I'm trying to get the automl digit classification sample running on my Batch AI cluster. This cell appears to run correctly:



    from azureml.core.compute import BatchAiCompute
    from azureml.core.compute import ComputeTarget

    # Choose a name for your cluster.
    batchai_cluster_name = "nc12-cluster-04"

    found = False
    # Check if this compute target already exists in the workspace.
    for ct_name, ct in ws.compute_targets().items():
    if (ct.name == batchai_cluster_name and ct.type == 'BatchAI'):
    found = True
    print('Found existing compute target: {0}'.format(ct.name))
    compute_target = ct
    break

    if not found:
    print('Creating a new compute target...')
    provisioning_config = BatchAiCompute.provisioning_configuration(vm_size = "STANDARD_NC12", # for GPU, use "STANDARD_NC6"
    #vm_priority = 'lowpriority', # optional
    autoscale_enabled = True,
    cluster_min_nodes = 0,
    cluster_max_nodes = 4)

    # Create the cluster.
    compute_target = ComputeTarget.create(ws, batchai_cluster_name, provisioning_config)

    # Can poll for a minimum number of nodes and for a specific timeout.
    # If no min_node_count is provided, it will use the scale settings for the cluster.
    compute_target.wait_for_completion(show_output = True, min_node_count = None, timeout_in_minutes = 20)

    # For a more detailed view of current Batch AI cluster status, use the 'status' property.


    and I get the expected output:



    Found existing compute target: nc12-cluster-04


    But when I try and submit my job like this:



    from azureml.core.experiment import Experiment

    experiment = Experiment(ws, experiment_name)
    remote_run = experiment.submit(automl_config, show_output = False)


    I get this error:



    ~/anaconda3_501/lib/python3.6/site-packages/azureml/_restclient/operations/jasmine_operations.py in post_remote_snapshot_run(self, subscription_id, resource_group_name, workspace_name, project_name, parent_run_id, json_definition, snapshot_id, custom_headers, raw, **operation_config)
    237 if response.status_code not in [200]:
    --> 238 raise HttpOperationError(self._deserialize, response)
    239

    HttpOperationError: Operation returned an invalid status code "ErrorMessage: 'BatchAI cluster nc12-cluster-04f7543302 does not exist'. Possible cause: Remote dsvm"


    Notice how the cluster name now has a suffix: nc12-cluster-04f7543302 that isn't in the compute_target passed in:



    vars(compute_target)

    {
    ...
    'name': 'nc12-cluster-04',
    'provisioning_errors': None,
    'provisioning_state': 'Succeeded',
    ...
    }


    Any ideas?










    share|improve this question

























      0












      0








      0







      I'm trying to get the automl digit classification sample running on my Batch AI cluster. This cell appears to run correctly:



      from azureml.core.compute import BatchAiCompute
      from azureml.core.compute import ComputeTarget

      # Choose a name for your cluster.
      batchai_cluster_name = "nc12-cluster-04"

      found = False
      # Check if this compute target already exists in the workspace.
      for ct_name, ct in ws.compute_targets().items():
      if (ct.name == batchai_cluster_name and ct.type == 'BatchAI'):
      found = True
      print('Found existing compute target: {0}'.format(ct.name))
      compute_target = ct
      break

      if not found:
      print('Creating a new compute target...')
      provisioning_config = BatchAiCompute.provisioning_configuration(vm_size = "STANDARD_NC12", # for GPU, use "STANDARD_NC6"
      #vm_priority = 'lowpriority', # optional
      autoscale_enabled = True,
      cluster_min_nodes = 0,
      cluster_max_nodes = 4)

      # Create the cluster.
      compute_target = ComputeTarget.create(ws, batchai_cluster_name, provisioning_config)

      # Can poll for a minimum number of nodes and for a specific timeout.
      # If no min_node_count is provided, it will use the scale settings for the cluster.
      compute_target.wait_for_completion(show_output = True, min_node_count = None, timeout_in_minutes = 20)

      # For a more detailed view of current Batch AI cluster status, use the 'status' property.


      and I get the expected output:



      Found existing compute target: nc12-cluster-04


      But when I try and submit my job like this:



      from azureml.core.experiment import Experiment

      experiment = Experiment(ws, experiment_name)
      remote_run = experiment.submit(automl_config, show_output = False)


      I get this error:



      ~/anaconda3_501/lib/python3.6/site-packages/azureml/_restclient/operations/jasmine_operations.py in post_remote_snapshot_run(self, subscription_id, resource_group_name, workspace_name, project_name, parent_run_id, json_definition, snapshot_id, custom_headers, raw, **operation_config)
      237 if response.status_code not in [200]:
      --> 238 raise HttpOperationError(self._deserialize, response)
      239

      HttpOperationError: Operation returned an invalid status code "ErrorMessage: 'BatchAI cluster nc12-cluster-04f7543302 does not exist'. Possible cause: Remote dsvm"


      Notice how the cluster name now has a suffix: nc12-cluster-04f7543302 that isn't in the compute_target passed in:



      vars(compute_target)

      {
      ...
      'name': 'nc12-cluster-04',
      'provisioning_errors': None,
      'provisioning_state': 'Succeeded',
      ...
      }


      Any ideas?










      share|improve this question













      I'm trying to get the automl digit classification sample running on my Batch AI cluster. This cell appears to run correctly:



      from azureml.core.compute import BatchAiCompute
      from azureml.core.compute import ComputeTarget

      # Choose a name for your cluster.
      batchai_cluster_name = "nc12-cluster-04"

      found = False
      # Check if this compute target already exists in the workspace.
      for ct_name, ct in ws.compute_targets().items():
      if (ct.name == batchai_cluster_name and ct.type == 'BatchAI'):
      found = True
      print('Found existing compute target: {0}'.format(ct.name))
      compute_target = ct
      break

      if not found:
      print('Creating a new compute target...')
      provisioning_config = BatchAiCompute.provisioning_configuration(vm_size = "STANDARD_NC12", # for GPU, use "STANDARD_NC6"
      #vm_priority = 'lowpriority', # optional
      autoscale_enabled = True,
      cluster_min_nodes = 0,
      cluster_max_nodes = 4)

      # Create the cluster.
      compute_target = ComputeTarget.create(ws, batchai_cluster_name, provisioning_config)

      # Can poll for a minimum number of nodes and for a specific timeout.
      # If no min_node_count is provided, it will use the scale settings for the cluster.
      compute_target.wait_for_completion(show_output = True, min_node_count = None, timeout_in_minutes = 20)

      # For a more detailed view of current Batch AI cluster status, use the 'status' property.


      and I get the expected output:



      Found existing compute target: nc12-cluster-04


      But when I try and submit my job like this:



      from azureml.core.experiment import Experiment

      experiment = Experiment(ws, experiment_name)
      remote_run = experiment.submit(automl_config, show_output = False)


      I get this error:



      ~/anaconda3_501/lib/python3.6/site-packages/azureml/_restclient/operations/jasmine_operations.py in post_remote_snapshot_run(self, subscription_id, resource_group_name, workspace_name, project_name, parent_run_id, json_definition, snapshot_id, custom_headers, raw, **operation_config)
      237 if response.status_code not in [200]:
      --> 238 raise HttpOperationError(self._deserialize, response)
      239

      HttpOperationError: Operation returned an invalid status code "ErrorMessage: 'BatchAI cluster nc12-cluster-04f7543302 does not exist'. Possible cause: Remote dsvm"


      Notice how the cluster name now has a suffix: nc12-cluster-04f7543302 that isn't in the compute_target passed in:



      vars(compute_target)

      {
      ...
      'name': 'nc12-cluster-04',
      'provisioning_errors': None,
      'provisioning_state': 'Succeeded',
      ...
      }


      Any ideas?







      automl azure-notebooks






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 12 at 15:45









      Dave Bending

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