Migration of Tensorflow model kserve Rest testcase UI -> API #2183
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[APPROVALNOTIFIER] This PR is NOT APPROVED This pull-request has been approved by: Raghul-M The full list of commands accepted by this bot can be found here.
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| @@ -43,6 +43,9 @@ | |||
| ${PYTORCH_MODEL_NAME}= resnet50 | |||
| ${INFERENCE_REST_INPUT_PYTORCH}= @tests/Resources/Files/triton/kserve-triton-resnet-rest-input.json | |||
| ${EXPECTED_INFERENCE_REST_OUTPUT_FILE__PYTORCH}= tests/Resources/Files/triton/kserve-triton-resnet-rest-output.json | |||
| ${TENSORFLOW_MODEL_NAME}= inceptiongraphdef | |||
| ${INFERENCE_REST_INPUT_TENSORFLOW}= @tests/Resources/Files/triton/kserve-triton-tensorflow-rest-input.json | |||
| ${EXPECTED_INFERENCE_REST_OUTPUT_FILE_TENSORFLOW}= tests/Resources/Files/triton/kserve-triton-tensorflow-rest-output.json | |||
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| Test Tensorflow Model Rest Inference Via API (Triton on Kserve) # robocop: off=too-long-test-case |
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| ... AND | ||
| ... Run Keyword If "${KSERVE_MODE}"=="RawDeployment" Terminate Process triton-process kill=true | ||
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| Test Tensorflow Model Rest Inference Via API (Triton on Kserve) # robocop: off=too-long-test-case |
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| Test Tensorflow Model Rest Inference Via API (Triton on Kserve) # robocop: off=too-long-test-case | ||
| [Documentation] Test the deployment of Tensorflow model in Kserve using Triton | ||
| [Tags] Tier2 RHOAIENG-16910 RunThisTest | ||
| Setup Test Variables model_name=${TENSORFLOW_MODEL_NAME} use_pvc=${FALSE} use_gpu=${FALSE} |
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| Set Project And Runtime runtime=${KSERVE_RUNTIME_REST_NAME} protocol=${PROTOCOL} namespace=${test_namespace} | ||
| ... download_in_pvc=${DOWNLOAD_IN_PVC} model_name=${TENSORFLOW_MODEL_NAME} | ||
| ... storage_size=100Mi memory_request=100Mi | ||
| ${requests}= Create Dictionary memory=1Gi |
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| END | ||
| ${EXPECTED_INFERENCE_REST_OUTPUT_TENSORFLOW}= Load Json File | ||
| ... file_path=${EXPECTED_INFERENCE_REST_OUTPUT_FILE_TENSORFLOW} as_string=${TRUE} | ||
| Verify Model Inference With Retries model_name=${TENSORFLOW_MODEL_NAME} inference_input=${INFERENCE_REST_INPUT_TENSORFLOW} |
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