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Update README and versions for 22.10 release (#554)
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README.md

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2020

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**LATEST RELEASE: You are currently on the main branch which tracks
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under-development progress towards the next release. The latest
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release of the Triton Model Analyzer is 1.20.0 and is available on
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release of the Triton Model Analyzer is 1.21.0 and is available on
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branch
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[r22.09](https://github.com/triton-inference-server/model_analyzer/tree/r22.09).**
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[r22.10](https://github.com/triton-inference-server/model_analyzer/tree/r22.10).**
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Triton Model Analyzer is a CLI tool to help with better understanding of the
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compute and memory requirements of the

VERSION

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1.21.0dev
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1.21.0

docs/config.md

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[ reload_model_disable: <bool> | default: false]
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# Triton Docker image tag used when launching using Docker mode
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[ triton_docker_image: <string> | default: nvcr.io/nvidia/tritonserver:22.09-py3 ]
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[ triton_docker_image: <string> | default: nvcr.io/nvidia/tritonserver:22.10-py3 ]
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# Triton Server HTTP endpoint url used by Model Analyzer client.".
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[ triton_http_endpoint: <string> | default: localhost:8000 ]

docs/kubernetes_deploy.md

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triton:
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image: nvcr.io/nvidia/tritonserver
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tag: 22.09-py3
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tag: 22.10-py3
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```
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The model analyzer executable uses the config file defined in `helm-chart/templates/config-map.yaml`. This config can be modified to supply arguments to model analyzer. Only the content under the `config.yaml` section of the file should be modified.

docs/quick_start.md

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**1. Pull the SDK container:**
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```
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docker pull nvcr.io/nvidia/tritonserver:22.09-py3-sdk
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docker pull nvcr.io/nvidia/tritonserver:22.10-py3-sdk
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```
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**2. Run the SDK container**
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-v /var/run/docker.sock:/var/run/docker.sock \
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-v $(pwd)/examples/quick-start:$(pwd)/examples/quick-start \
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-v <path-to-output-model-repo>:<path-to-output-model-repo> \
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--net=host nvcr.io/nvidia/tritonserver:22.09-py3-sdk
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--net=host nvcr.io/nvidia/tritonserver:22.10-py3-sdk
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```
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**Replacing** `<path-to-output-model-repo>` with the

helm-chart/values.yaml

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triton:
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image: nvcr.io/nvidia/tritonserver
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tag: 22.09-py3
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tag: 22.10-py3

model_analyzer/config/input/config_defaults.py

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DEFAULT_RUN_CONFIG_SEARCH_MODE = 'brute'
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DEFAULT_RUN_CONFIG_PROFILE_MODELS_CONCURRENTLY_ENABLE = False
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DEFAULT_TRITON_LAUNCH_MODE = 'local'
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DEFAULT_TRITON_DOCKER_IMAGE = 'nvcr.io/nvidia/tritonserver:22.09-py3'
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DEFAULT_TRITON_DOCKER_IMAGE = 'nvcr.io/nvidia/tritonserver:22.10-py3'
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DEFAULT_TRITON_HTTP_ENDPOINT = 'localhost:8000'
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DEFAULT_TRITON_GRPC_ENDPOINT = 'localhost:8001'
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DEFAULT_TRITON_METRICS_URL = 'http://localhost:8002/metrics'

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