GCP AI Platform (unified) Python export_model FailedPrecondition: 400 Exporting artifact in format `` is not supported

[zdhernandez]

I am using the Google AiPlatform (Unified) Python client to export a trained model to a Google Cloud bucket. I am following the sample code from: export_model_sample.

The application has "owner" credentials at the moment because I want to make sure it is not a permissions issue. However, when I try to execute the sample code I am getting the following error:

Traceback (most recent call last):
File "/usr/local/lib/python3.8/site-packages/google/api_core/grpc_helpers.py", line 57, in error_remapped_callable
return callable_(*args, **kwargs)
File "/usr/local/lib/python3.8/site-packages/grpc/_channel.py", line 923, in call
return _end_unary_response_blocking(state, call, False, None)
File "/usr/local/lib/python3.8/site-packages/grpc/_channel.py", line 826, in _end_unary_response_blocking
raise _InactiveRpcError(state)
grpc._channel._InactiveRpcError: <_InactiveRpcError of RPC that terminated with:
status = StatusCode.FAILED_PRECONDITION
details = "Exporting artifact for model projects/101010101010/locations/us-central1/models/123123123123123 in format is not supported." debug_error_string = "{"created":"@1611864688.554145696","description":"Error received from peer ipv4:172.217.12.202:443","file":"src/core/lib/surface/call.cc","file_line":1067,"grpc_message":"Exporting artifact for model `projects/110101010101/locations/us-central1/models/123123123123123` in format is not supported.","grpc_status":9}"

The above exception was the direct cause of the following exception:

Traceback (most recent call last): File "/app/main.py", line 667, in

response = aiplatform_model_client.export_model(name=name, output_config=output_config) File
"/usr/local/lib/python3.8/site-packages/google/cloud/aiplatform_v1beta1/services/model_service/client.py",
line 937, in export_model
response = rpc(request, retry=retry, timeout=timeout, metadata=metadata,) File
"/usr/local/lib/python3.8/site-packages/google/api_core/gapic_v1/method.py",
line 145, in call
return wrapped_func(*args, **kwargs) File "/usr/local/lib/python3.8/site-packages/google/api_core/grpc_helpers.py",
line 59, in error_remapped_callable
six.raise_from(exceptions.from_grpc_error(exc), exc) File "", line 3, in raise_from
google.api_core.exceptions.FailedPrecondition: 400 Exporting artifact
for model
projects/111101010101/locations/us-central1/models/123123123123123123
in format `` is not supported.

(I have omitted the project id and the models id. Using 10101 and 123123)

I have verified my inputs but everything seems ok:

gcs_destination_output_uri_prefix = "gs://my-bucket-vcm/model-123123123123123/tflite/2021-01-28T16:00:00.000Z/"
gcs_destination = {"output_uri_prefix": gcs_destination_output_uri_prefix}
output_config = {"artifact_destination": gcs_destination,}
name = "projects/10101010101/locations/us-central1/models/123123123123123"
response = aiplatform_model_client.export_model(name=name, output_config=output_config)
print("Long running operation:", response.operation.name)
export_model_response = response.result(timeout=300)
print("export_model_response:", export_model_response)

I am also using the latest version of google-cloud-aiplatform==0.4.0
The trained model that I am trying to export is of type: MOBILE_TF_LOW_LATENCY_1

I would like to just export the model to a cloud bucket.

My requirements.txt is:

firebase-admin==4.5.0
google-api-python-client==1.12.8
google-cloud-error-reporting==1.1.0
google-cloud-secret-manager==2.1.0
google-cloud-firestore==2.0.2
google-cloud-core==1.5.0
google-cloud-pubsub==2.2.0
google-cloud-aiplatform==0.4.0
python-dateutil
pandas
numpy
pyopenssl
requests

[dizcology]

Hello @zdhernandez: Thank you for reporting the issue. The service defaults to the first supported export formats if it is not specified in the request: https://github.com/googleapis/python-aiplatform/blob/master/google/cloud/aiplatform_v1beta1/types/model_service.py#L220-L225

So it appears that the model you have does not support any export format. Only certain model types support model export: tabular and edge according to the documentation.

[zdhernandez]

@dizcology The model that I am trying to export is of type: MOBILE_TF_LOW_LATENCY_1
Did I forget to pass an extra argument?

update: I double-checked the AIPlatform and I can confirm it is an edge model.
When I go under the "Model Properties" tab I can see:

• Algorithm: AutoML Edge
• Objective: Image classification (Single-label)

[dizcology]

Thank you @zdhernandez, for good measure could you try again with a modified request like this: https://github.com/googleapis/python-aiplatform/blob/master/samples/snippets/export_model_video_action_recognition_sample.py#L34-L37

(Looking at the sample test, it seems you might need to format the string in a certain particular way.)

[zdhernandez]

@dizcology I tried:

output_config = { "artifact_destination": "gs://my-bucket-vcm/model-123123123123/tflite/2021-01-28T16:00:00.000Z/", "export_format_id": "tflite", }

and got:

Traceback (most recent call last):
  File "/app/main.py", line 676, in <module>
    response = aiplatform_model_client.export_model(name=name, output_config=output_config)
  File "/usr/local/lib/python3.8/site-packages/google/cloud/aiplatform_v1beta1/services/model_service/client.py", line 924, in export_model
    request.output_config = output_config
  File "/usr/local/lib/python3.8/site-packages/proto/message.py", line 584, in __setattr__
    pb_value = marshal.to_proto(pb_type, value)
  File "/usr/local/lib/python3.8/site-packages/proto/marshal/marshal.py", line 205, in to_proto
    pb_value = rule.to_proto(value)
  File "/usr/local/lib/python3.8/site-packages/proto/marshal/rules/message.py", line 32, in to_proto
    return self._descriptor(**value)
TypeError: Parameter to MergeFrom() must be instance of same class: expected google.cloud.aiplatform.v1beta1.GcsDestination got str.

[dizcology]

I think the value of artifact_destination needs to be a Python dict or a protobuf message. Please try something like the following:

output_config = {
    "artifact_destination": {"output_uri_prefix": "gs://..."},
    "export_format_id": "tflite",
}

[zdhernandez]

@dizcology That works!

It printed:
"Long running operation..."
export_model_response: done

and I have a bucket with one model.tflite file

The export_model_sample should include the "export_format_id" as well as the example from GCP.

Thank you very much for your time and help.