From 762e06a10fe0b8e8f11392bf22c9d7e6d1362865 Mon Sep 17 00:00:00 2001 From: Rashmi Panchamukhi Date: Wed, 4 Dec 2024 10:40:38 +0530 Subject: [PATCH] Added FIL model REST protocol test on triton for Kserve (#2018) Co-authored-by: Tarun Kumar --- .../triton/kserve-triton-fil-rest-input.json | 1 + .../triton/kserve-triton-fil-rest-output.json | 1 + .../kserve-triton-keras-rest-input.json | 1 - .../triton_onnx_rest_servingruntime.yaml | 3 + ...1009__model_serving_triton_on_kserve.robot | 90 +++++++++++++++++-- 5 files changed, 90 insertions(+), 6 deletions(-) create mode 100644 ods_ci/tests/Resources/Files/triton/kserve-triton-fil-rest-input.json create mode 100644 ods_ci/tests/Resources/Files/triton/kserve-triton-fil-rest-output.json delete mode 100644 ods_ci/tests/Resources/Files/triton/kserve-triton-keras-rest-input.json diff --git a/ods_ci/tests/Resources/Files/triton/kserve-triton-fil-rest-input.json b/ods_ci/tests/Resources/Files/triton/kserve-triton-fil-rest-input.json new file mode 100644 index 000000000..d9fc08f2d --- /dev/null +++ b/ods_ci/tests/Resources/Files/triton/kserve-triton-fil-rest-input.json @@ -0,0 +1 @@ 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\ No newline at end of file diff --git a/ods_ci/tests/Resources/Files/triton/kserve-triton-fil-rest-output.json b/ods_ci/tests/Resources/Files/triton/kserve-triton-fil-rest-output.json new file mode 100644 index 000000000..2ee502f9e --- /dev/null +++ b/ods_ci/tests/Resources/Files/triton/kserve-triton-fil-rest-output.json @@ -0,0 +1 @@ +{"model_name":"fil","model_version":"1","outputs":[{"name":"output__0","datatype":"FP32","shape":[1,2],"data":[0.9988755583763123,0.0011244702618569136]}]} \ No newline at end of file diff --git a/ods_ci/tests/Resources/Files/triton/kserve-triton-keras-rest-input.json b/ods_ci/tests/Resources/Files/triton/kserve-triton-keras-rest-input.json deleted file mode 100644 index 741a52e8b..000000000 --- a/ods_ci/tests/Resources/Files/triton/kserve-triton-keras-rest-input.json +++ /dev/null @@ -1 +0,0 @@ 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\ No newline at end of file diff --git a/ods_ci/tests/Resources/Files/triton/triton_onnx_rest_servingruntime.yaml b/ods_ci/tests/Resources/Files/triton/triton_onnx_rest_servingruntime.yaml index 0134e0931..d2fab50f6 100644 --- a/ods_ci/tests/Resources/Files/triton/triton_onnx_rest_servingruntime.yaml +++ b/ods_ci/tests/Resources/Files/triton/triton_onnx_rest_servingruntime.yaml @@ -52,6 +52,9 @@ spec: name: triton priority: 1 version: "2" + - autoSelect: true + name: xgboost + version: "1" - autoSelect: true name: python version: "1" diff --git a/ods_ci/tests/Tests/1000__model_serving/1009__model_serving_triton_on_kserve/1009__model_serving_triton_on_kserve.robot b/ods_ci/tests/Tests/1000__model_serving/1009__model_serving_triton_on_kserve/1009__model_serving_triton_on_kserve.robot index 8787d215d..3f8a7bd34 100644 --- a/ods_ci/tests/Tests/1000__model_serving/1009__model_serving_triton_on_kserve/1009__model_serving_triton_on_kserve.robot +++ b/ods_ci/tests/Tests/1000__model_serving/1009__model_serving_triton_on_kserve/1009__model_serving_triton_on_kserve.robot @@ -50,10 +50,17 @@ ${PYTHON_MODEL_NAME}= python ${EXPECTED_INFERENCE_PYTHON_REST_OUTPUT_FILE}= tests/Resources/Files/triton/kserve-triton-python-rest-output.json ${INFERENCE_REST_INPUT_PYTHON}= @tests/Resources/Files/triton/kserve-triton-python-rest-input.json ${KERAS_RUNTIME_NAME}= triton-keras-rest -${KERAS_MODEL_NAME}= resnet50 ${KERAS_RUNTIME_FILEPATH}= ${RESOURCES_DIRPATH}/triton_keras_rest_servingruntime.yaml ${INFERENCE_REST_INPUT_KERAS}= @tests/Resources/Files/triton/kserve-triton-keras-rest-input.json ${EXPECTED_INFERENCE_REST_OUTPUT_FILE_KERAS}= tests/Resources/Files/triton/kserve-triton-keras-rest-output.json +${KERAS_RUNTIME_NAME_GRPC}= triton-keras-grpc +${KERAS_GRPC_RUNTIME_FILEPATH}= ${RESOURCES_DIRPATH}/triton_keras_gRPC_servingruntime.yaml +${INFERENCE_GRPC_INPUT_KERAS}= tests/Resources/Files/triton/kserve-triton-keras-gRPC-input.json +${EXPECTED_INFERENCE_GRPC_OUTPUT_FILE_KERAS}= tests/Resources/Files/triton/kserve-triton-keras-gRPC-output.json +${FIL_MODEL_NAME}= fil +${FIL_RUNTIME_NAME_REST}= triton-fil-rest +${INFERENCE_REST_INPUT_FIL}= @tests/Resources/Files/triton/kserve-triton-fil-rest-input.json +${EXPECTED_INFERENCE_REST_OUTPUT_FILE_FIL}= tests/Resources/Files/triton/kserve-triton-fil-rest-output.json ${PYTHON_MODEL_NAME}= python ${EXPECTED_INFERENCE_GRPC_OUTPUT_FILE_PYTHON}= tests/Resources/Files/triton/kserve-triton-python-gRPC-output.json ${INFERENCE_GRPC_INPUT_PYTHON}= tests/Resources/Files/triton/kserve-triton-python-gRPC-input.json @@ -213,6 +220,50 @@ Test Tensorflow Model Grpc Inference Via UI (Triton on Kserve) # robocop: off ... AND ... Delete Serving Runtime Template From CLI displayed_name=triton-tensorflow-grpc +Test KERAS Model Grpc Inference Via UI (Triton on Kserve) # robocop: off=too-long-test-case + [Documentation] Test the deployment of an keras model in Kserve using Triton + [Tags] Sanity RHOAIENG-10327 + Open Data Science Projects Home Page + Create Data Science Project title=${PRJ_TITLE} description=${PRJ_DESCRIPTION} + ... existing_project=${FALSE} + Open Dashboard Settings settings_page=Serving runtimes + Upload Serving Runtime Template runtime_filepath=${KERAS_GRPC_RUNTIME_FILEPATH} + ... serving_platform=single runtime_protocol=gRPC + Serving Runtime Template Should Be Listed displayed_name=${KERAS_RUNTIME_NAME_GRPC} + ... serving_platform=single + Recreate S3 Data Connection project_title=${PRJ_TITLE} dc_name=model-serving-connection + ... aws_access_key=${S3.AWS_ACCESS_KEY_ID} aws_secret_access=${S3.AWS_SECRET_ACCESS_KEY} + ... aws_bucket_name=ods-ci-s3 + Deploy Kserve Model Via UI model_name=${PYTORCH_MODEL_NAME} serving_runtime=triton-keras-grpc + ... data_connection=model-serving-connection path=tritonkeras/model_repository/ model_framework=tensorflow - 2 + ... token=${TRUE} + Wait For Pods To Be Ready label_selector=serving.kserve.io/inferenceservice=${PYTORCH_MODEL_NAME} + ... namespace=${PRJ_TITLE} + ${EXPECTED_INFERENCE_GRPC_OUTPUT_KERAS}= Load Json File file_path=${EXPECTED_INFERENCE_GRPC_OUTPUT_FILE_KERAS} + ... as_string=${TRUE} + ${EXPECTED_INFERENCE_GRPC_OUTPUT_KERAS}= Load Json String ${EXPECTED_INFERENCE_GRPC_OUTPUT_KERAS} + ${EXPECTED_INFERENCE_GRPC_OUTPUT_KERAS}= Evaluate json.dumps(${EXPECTED_INFERENCE_GRPC_OUTPUT_KERAS}) + Log ${EXPECTED_INFERENCE_GRPC_OUTPUT_KERAS} + Open Model Serving Home Page + ${host_url}= Get Model Route Via UI model_name=${PYTORCH_MODEL_NAME} + ${host}= Evaluate re.search(r"${PATTERN}", r"${host_url}").group(1) re + Log ${host} + ${token}= Get Access Token Via UI single_model=${TRUE} model_name=resnet50 project_name=${PRJ_TITLE} + ${inference_output}= Query Model With GRPCURL host=${host} port=443 + ... endpoint=inference.GRPCInferenceService/ModelInfer + ... json_body=@ input_filepath=${INFERENCE_GRPC_INPUT_KERAS} + ... insecure=${True} protobuf_file=${PROTOBUFF_FILE} json_header="Authorization: Bearer ${token}" + Log ${inference_output} + ${inference_output}= Evaluate json.dumps(${inference_output}) + Log ${inference_output} + ${result} ${list}= Inference Comparison ${EXPECTED_INFERENCE_GRPC_OUTPUT_KERAS} ${inference_output} + [Teardown] Run Keywords Get Kserve Events And Logs model_name=${PYTORCH_MODEL_NAME} + ... project_title=${PRJ_TITLE} + ... AND + ... Clean All Models Of Current User + ... AND + ... Delete Serving Runtime Template From CLI displayed_name=triton-keras-grpc + Test KERAS Model Inference Via UI(Triton on Kserve) [Documentation] Test the deployment of an keras model in Kserve using Triton [Tags] Sanity RHOAIENG-10328 @@ -228,17 +279,17 @@ Test KERAS Model Inference Via UI(Triton on Kserve) Recreate S3 Data Connection project_title=${PRJ_TITLE} dc_name=model-serving-connection ... 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=${KERAS_MODEL_NAME} serving_runtime=triton-keras-rest + Deploy Kserve Model Via UI model_name=${PYTORCH_MODEL_NAME} serving_runtime=triton-keras-rest ... data_connection=model-serving-connection path=tritonkeras/model_repository/ model_framework=tensorflow - 2 - Wait For Pods To Be Ready label_selector=serving.kserve.io/inferenceservice=${KERAS_MODEL_NAME} + Wait For Pods To Be Ready label_selector=serving.kserve.io/inferenceservice=${PYTORCH_MODEL_NAME} ... namespace=${PRJ_TITLE} timeout=180s ${EXPECTED_INFERENCE_REST_OUTPUT_KERAS}= Load Json File ... file_path=${EXPECTED_INFERENCE_REST_OUTPUT_FILE_KERAS} as_string=${TRUE} Log ${EXPECTED_INFERENCE_REST_OUTPUT_KERAS} Run Keyword And Continue On Failure Verify Model Inference With Retries - ... ${KERAS_MODEL_NAME} ${INFERENCE_REST_INPUT_KERAS} ${EXPECTED_INFERENCE_REST_OUTPUT_KERAS} + ... ${PYTORCH_MODEL_NAME} ${INFERENCE_REST_INPUT_KERAS} ${EXPECTED_INFERENCE_REST_OUTPUT_KERAS} ... token_auth=${FALSE} project_title=${PRJ_TITLE} - [Teardown] Run Keywords Get Kserve Events And Logs model_name=${KERAS_MODEL_NAME} + [Teardown] Run Keywords Get Kserve Events And Logs model_name=${PYTORCH_MODEL_NAME} ... project_title=${PRJ_TITLE} ... AND ... Clean All Models Of Current User @@ -321,6 +372,35 @@ Test Python Model Rest Inference Via UI (Triton on Kserve) # robocop: off=too ... AND ... Delete Serving Runtime Template From CLI displayed_name=triton-kserve-rest +Test FIL Model Rest Inference Via UI (Triton on Kserve) # robocop: off=too-long-test-case + [Documentation] Test the deployment of an fil model in Kserve using Triton + [Tags] Sanity RHOAIENG-15649 + Open Data Science Projects Home Page + Create Data Science Project title=${PRJ_TITLE} description=${PRJ_DESCRIPTION} + ... existing_project=${FALSE} + Open Dashboard Settings settings_page=Serving runtimes + Upload Serving Runtime Template runtime_filepath=${ONNX_RUNTIME_FILEPATH} + ... serving_platform=single runtime_protocol=REST + Serving Runtime Template Should Be Listed displayed_name=${ONNX_RUNTIME_NAME} + ... serving_platform=single + Recreate S3 Data Connection project_title=${PRJ_TITLE} dc_name=model-serving-connection + ... 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=${FIL_MODEL_NAME} serving_runtime=triton-kserve-rest + ... data_connection=model-serving-connection path=triton/model_repository/ model_framework=xgboost - 1 + Wait For Pods To Be Ready label_selector=serving.kserve.io/inferenceservice=${FIL_MODEL_NAME} + ... namespace=${PRJ_TITLE} + ${EXPECTED_INFERENCE_REST_OUTPUT_FIL}= Load Json File file_path=${EXPECTED_INFERENCE_REST_OUTPUT_FILE_FIL} + ... as_string=${TRUE} + Run Keyword And Continue On Failure Verify Model Inference With Retries + ... ${FIL_MODEL_NAME} ${INFERENCE_REST_INPUT_FIL} ${EXPECTED_INFERENCE_REST_OUTPUT_FIL} + ... token_auth=${FALSE} project_title=${PRJ_TITLE} + [Teardown] Run Keywords Get Kserve Events And Logs model_name=${FIL_MODEL_NAME} + ... project_title=${PRJ_TITLE} + ... AND + ... Clean All Models Of Current User + ... AND + ... Delete Serving Runtime Template From CLI displayed_name=triton-kserve-rest *** Keywords *** Triton On Kserve Suite Setup