Automation tests for keras grpc model for triton #1843
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...odel_serving/1009__model_serving_triton_on_kserve/1009__model_serving_triton_on_kserve.robot
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...odel_serving/1009__model_serving_triton_on_kserve/1009__model_serving_triton_on_kserve.robot
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| @@ -152,6 +157,51 @@ | |||
| ... AND | |||
| ... Delete Serving Runtime Template From CLI displayed_name=triton-kserve-grpc | |||
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| Test KERAS Model Grpc Inference Via UI (Triton on Kserve) # robocop: off=too-long-test-case | |||
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Code scanning / Robocop
Test case '{{ test_name }}' has too many keywords inside ({{ keyword_count }}/{{ max_allowed_count }}) Warning test
...odel_serving/1009__model_serving_triton_on_kserve/1009__model_serving_triton_on_kserve.robot
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| @@ -0,0 +1,63 @@ | |||
| apiVersion: serving.kserve.io/v1alpha1 | |||
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it seems the same as https://github.com/red-hat-data-services/ods-ci/pull/1844/files
Can we avoid duplication and use one file?
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We are adding this file because to test it on local without those files we cannot test them , once the all PR's are approved we remove the all the duplicate files
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Then you could use the same filename everytime, so once a PR gets merged you'd just need a rebase. Instead as it is now, you'll need to change all the references to the files in the tests
| ... aws_access_key=${S3.AWS_ACCESS_KEY_ID} aws_secret_access=${S3.AWS_SECRET_ACCESS_KEY} | ||
| ... aws_bucket_name=ods-ci-s3 | ||
| Deploy Kserve Model Via UI model_name=${KERAS_MODEL_NAME} serving_runtime=triton-keras-grpc | ||
| ... data_connection=model-serving-connection path=tritonkeras/model_repository/ model_framework=tensorflow - 2 |
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Line is too long ({{ line_length }}/{{ allowed_length }}) Warning test
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| ... token=${TRUE} | ||
| Wait For Pods To Be Ready label_selector=serving.kserve.io/inferenceservice=${KERAS_MODEL_NAME} | ||
| ... namespace=${PRJ_TITLE} | ||
| ${EXPECTED_INFERENCE_GRPC_OUTPUT_KERAS}= Load Json File file_path=${EXPECTED_INFERENCE_GRPC_OUTPUT_FILE_KERAS} |
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Line is too long ({{ line_length }}/{{ allowed_length }}) Warning test
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Add support for trition server for keras model format using kserve using gRPC endpoint RHOAIENG-11563