Migration of Onnx model kserve Grpc testcase UI -> API

ods_ci/tests/Resources/Files/triton/kserve-triton-onnx-grpc-output.json

@@ -0,0 +1 @@
+{"modelName":"densenetonnx","modelVersion":"1","id":"test1","outputs":[{"name":"fc6_1","datatype":"FP32","shape":["1000"]}],"rawOutputContents":["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"]}

ods_ci/tests/Tests/1000__model_serving/1009__model_serving_triton_on_kserve/1009__model_serving_triton_on_kserve_api.robot

@@ -28,6 +28,8 @@
 ${INFERENCE_REST_INPUT_PYTHON}=       @tests/Resources/Files/triton/kserve-triton-python-rest-input.json
 ${EXPECTED_INFERENCE_REST_OUTPUT_FILE_ONNX}=       tests/Resources/Files/triton/kserve-triton-onnx-rest-output.json
 ${INFERENCE_REST_INPUT_ONNX}=       @tests/Resources/Files/triton/kserve-triton-onnx-rest-input.json
+${INFERENCE_GRPC_INPUT_ONNXFILE}=       tests/Resources/Files/triton/kserve-triton-onnx-grpc-input.json
+${EXPECTED_INFERENCE_GRPC_OUTPUT_FILE_ONNX}=    tests/Resources/Files/triton/kserve-triton-onnx-grpc-output.json
 ${KSERVE_MODE}=    Serverless   # Serverless
 ${PROTOCOL}=     http
 ${TEST_NS}=        tritonmodel
@@ -125,7 +127,7 @@
     ...    isvc_names=${models_names}    wait_prj_deletion=${FALSE}    kserve_mode=${KSERVE_MODE}
     ...    AND
     ...    Run Keyword If    "${KSERVE_MODE}"=="RawDeployment"    Terminate Process    triton-process    kill=true
-    
+
 Test Python Model Grpc Inference Via API (Triton on Kserve)    # robocop: off=too-long-test-case
     [Documentation]    Test the deployment of python model in Kserve using Triton
     [Tags]    Tier2    RHOAIENG-16912
@@ -166,15 +168,15 @@
     ...    Clean Up Test Project    test_ns=${test_namespace}
     ...    isvc_names=${models_names}    wait_prj_deletion=${FALSE}    kserve_mode=${KSERVE_MODE}
     ...    AND
     ...    Run Keyword If    "${KSERVE_MODE}"=="RawDeployment"    Terminate Process    triton-process    kill=true
 
 Test Onnx Model Rest Inference Via API (Triton on Kserve)    # robocop: off=too-long-test-case
     [Documentation]    Test the deployment of onnx model in Kserve using Triton
     [Tags]    Tier2    RHOAIENG-16908
     Setup Test Variables    model_name=${ONNX_MODEL_NAME}    use_pvc=${FALSE}    use_gpu=${FALSE}
     ...    kserve_mode=${KSERVE_MODE}   model_path=triton/model_repository/
     Log    ${ONNX_MODEL_NAME}
     Set Project And Runtime    runtime=${KSERVE_RUNTIME_REST_NAME}     protocol=${PROTOCOL}     namespace=${test_namespace}
     ...    download_in_pvc=${DOWNLOAD_IN_PVC}    model_name=${ONNX_MODEL_NAME}
     ...    storage_size=100Mi    memory_request=100Mi
     ${requests}=    Create Dictionary    memory=1Gi
@@ -189,7 +191,7 @@
     # File is not needed anymore after applying
     Remove File    ${INFERENCESERVICE_FILLED_FILEPATH}
     Wait For Pods To Be Ready    label_selector=serving.kserve.io/inferenceservice=${ONNX_MODEL_NAME}
     ...    namespace=${test_namespace}
     ${pod_name}=  Get Pod Name    namespace=${test_namespace}
     ...    label_selector=serving.kserve.io/inferenceservice=${ONNX_MODEL_NAME}
     ${service_port}=    Extract Service Port    service_name=${ONNX_MODEL_NAME}-predictor    protocol=TCP
@@ -210,6 +212,49 @@
     ...    AND
     ...    Run Keyword If    "${KSERVE_MODE}"=="RawDeployment"    Terminate Process    triton-process    kill=true
 
+Test Onnx Model Grpc Inference Via API (Triton on Kserve)    # robocop: off=too-long-test-case
+    [Documentation]    Test the deployment of onnx model in Kserve using Triton
+    [Tags]    Tier2    RHOAIENG-16908
+    Setup Test Variables    model_name=${ONNX_MODEL_NAME}    use_pvc=${FALSE}    use_gpu=${FALSE}
+    ...    kserve_mode=${KSERVE_MODE}   model_path=triton/model_repository/
+    Set Project And Runtime    runtime=${KSERVE_RUNTIME_REST_NAME}     protocol=${PROTOCOL_GRPC}     namespace=${test_namespace}
+    ...    download_in_pvc=${DOWNLOAD_IN_PVC}    model_name=${ONNX_MODEL_NAME}
+    ...    storage_size=100Mi    memory_request=100Mi
+    ${requests}=    Create Dictionary    memory=1Gi
+    Compile Inference Service YAML    isvc_name=${ONNX_MODEL_NAME}
+    ...    sa_name=models-bucket-sa
+    ...    model_storage_uri=${storage_uri}
+    ...    model_format=onnx  serving_runtime=${KSERVE_RUNTIME_REST_NAME}
+    ...    version="1"
+    ...    limits_dict=${limits}    requests_dict=${requests}    kserve_mode=${KSERVE_MODE}
+    Deploy Model Via CLI    isvc_filepath=${INFERENCESERVICE_FILLED_FILEPATH}
+    ...    namespace=${test_namespace}
+    # File is not needed anymore after applying
+    Remove File    ${INFERENCESERVICE_FILLED_FILEPATH}
+    Wait For Pods To Be Ready    label_selector=serving.kserve.io/inferenceservice=${ONNX_MODEL_NAME}
+    ...    namespace=${test_namespace}
+    ${pod_name}=  Get Pod Name    namespace=${test_namespace}
+    ...    label_selector=serving.kserve.io/inferenceservice=${ONNX_MODEL_NAME}
+    ${valued}  ${host}=    Run And Return Rc And Output    oc get ksvc ${ONNX_MODEL_NAME}-predictor -o jsonpath='{.status.url}'
+    Log    ${valued}
+    ${host}=    Evaluate    re.search(r"${PATTERN}", r"${host}").group(1)    re
+    Log    ${host}
+    ${EXPECTED_INFERENCE_GRPC_OUTPUT_ONNX}=     Load Json File
+    ...    file_path=${EXPECTED_INFERENCE_GRPC_OUTPUT_FILE_ONNX}    as_string=${TRUE}
+    ${inference_output}=    Query Model With GRPCURL   host=${host}    port=443
+    ...    endpoint=inference.GRPCInferenceService/ModelInfer
+    ...    json_body=@      input_filepath=${INFERENCE_GRPC_INPUT_ONNXFILE}
+    ...    insecure=${True}    protobuf_file=${PROTOBUFF_FILE}      json_header=${NONE}
+    ${inference_output}=    Evaluate    json.dumps(${inference_output})
+    Log    ${inference_output}
+    ${result}    ${list}=    Inference Comparison    ${EXPECTED_INFERENCE_GRPC_OUTPUT_ONNX}    ${inference_output}
+    Log    ${result}
+    Log    ${list}
+    [Teardown]    Run Keywords
+    ...    Clean Up Test Project    test_ns=${test_namespace}
+    ...    isvc_names=${models_names}    wait_prj_deletion=${FALSE}    kserve_mode=${KSERVE_MODE}
+    ...    AND
+    ...    Run Keyword If    "${KSERVE_MODE}"=="RawDeployment"    Terminate Process    triton-process    kill=true
 
 *** Keywords ***
 Suite Setup