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Edit ClearML Serving CLI page (#238)
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@ -9,15 +9,14 @@ The following page provides a reference for `clearml-serving`'s CLI commands:
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* [create](#create) - Create a new Serving Service
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* [metrics](#metrics) - Configure inference metrics Service
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* [config](#config) - Configure a new Serving Service
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* [model](#model) - Configure Model endpoints for a running Service
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* [model](#model) - Configure model endpoints for a running Service
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## Global Parameters
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```bash
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clearml-serving [-h] [--debug] [--id ID] {list,create,metrics,config,model}
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```
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**Parameters**
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<div className="tbl-cmd">
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|Name|Description|Optional|
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@ -31,21 +30,22 @@ clearml-serving [-h] [--debug] [--id ID] {list,create,metrics,config,model}
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The Serving Service's ID (`--id`) is required to execute the `metrics`, `config`, and `model` commands.
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:::
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### list
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## list
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List running Serving Services.
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```bash
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clearml-serving list [-h]
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```
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List running Serving Services.
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## create
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### create
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Create a new Serving Service.
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```bash
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clearml-serving create [-h] [--name NAME] [--tags TAGS [TAGS ...]] [--project PROJECT]
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```
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Create a new Serving Service
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**Parameters**
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<div className="tbl-cmd">
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@ -58,34 +58,76 @@ Create a new Serving Service
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</div>
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### metrics
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## metrics
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Configure inference metrics Service
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Configure inference metrics Service.
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```bash
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clearml-serving metrics [-h] {add,remove,list}
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```
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### add
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Add/modify metric for a specific endpoint.
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```bash
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clearml-serving metrics add [-h] --endpoint ENDPOINT [--log-freq LOG_FREQ]
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[--variable-scalar VARIABLE_SCALAR [VARIABLE_SCALAR ...]]
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[--variable-enum VARIABLE_ENUM [VARIABLE_ENUM ...]]
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[--variable-value VARIABLE_VALUE [VARIABLE_VALUE ...]]
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```
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**Parameters**
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<div className="tbl-cmd">
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|Name|Description|Optional|
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|`--add` | Add/modify metric for a specific endpoint| <img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" /> |
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|`--remove` | Remove metric from a specific endpoint| <img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" /> |
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|`--list` | list metrics logged on all endpoints | <img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" /> |
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|`--endpoint`|Metric endpoint name including version (e.g. `"model/1"` or a prefix `"model/*"`). Notice: it will override any previous endpoint logged metrics| <img src="/docs/latest/icons/ico-optional-no.svg" alt="No" className="icon size-md center-md" />|
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|`--log-freq`|Logging request frequency, between 0.0 to 1.0. Example: 1.0 means all requests are logged, 0.5 means half of the requests are logged if not specified. To use global logging frequency, see [`config --metric-log-freq`](#config)| <img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--variable-scalar`|Add float (scalar) argument to the metric logger, `<name>=<histogram>`. Example: with specific buckets: `"x1=0,0.2,0.4,0.6,0.8,1"` or with min/max/num_buckets `"x1=0.0/1.0/5"` | <img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--variable-enum`|Add enum (string) argument to the metric logger, `<name>=<optional_values>`. Example: `"detect=cat,dog,sheep"` |<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--variable-value`|Add non-samples scalar argument to the metric logger, `<name>`. Example: `"latency"` |<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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</div>
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### remove
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Remove metric from a specific endpoint.
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```bash
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clearml-serving metrics remove [-h] [--endpoint ENDPOINT]
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[--variable VARIABLE [VARIABLE ...]]
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```
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**Parameters**
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<div className="tbl-cmd">
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|Name|Description|Optional|
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|`--endpoint`| Metric endpoint name including version (e.g. `"model/1"` or a prefix `"model/*"`) |<img src="/docs/latest/icons/ico-optional-no.svg" alt="No" className="icon size-md center-md" />|
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|`--variable`| Remove (scalar/enum) argument from the metric logger, `<name>` example: `"x1"` |<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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</div>
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### list
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List metrics logged on all endpoints.
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```bash
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clearml-serving metrics list [-h]
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```
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<br/>
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### config
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## config
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Configure a new Serving Service.
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```bash
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clearml-serving {base-serving-url, triton-grpc, kafka-metric-server, metric-log-freq}
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clearml-serving config [-h] [--base-serving-url BASE_SERVING_URL]
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[--triton-grpc-server TRITON_GRPC_SERVER]
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[--kafka-metric-server KAFKA_METRIC_SERVER]
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[--metric-log-freq METRIC_LOG_FREQ]
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```
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**Parameters**
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@ -97,33 +139,173 @@ clearml-serving {base-serving-url, triton-grpc, kafka-metric-server, metric-log-
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|`--base-serving-url`|External base serving service url. Example: `http://127.0.0.1:8080/serve`|<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--triton-grpc-server`|External ClearML-Triton serving container gRPC address. Example: `127.0.0.1:9001`|<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--kafka-metric-server`|External Kafka service url. Example: `127.0.0.1:9092`|<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--metric-log-freq`|Set default metric logging frequency. 1.0 is 100% of all requests are logged|<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--metric-log-freq`|Set default metric logging frequency between 0.0 to 1.0. 1.0 means that 100% of all requests are logged|<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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</div>
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<br/>
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### model
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## model
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Configure Model endpoints for an already running Service
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Configure model endpoints for an already running Service.
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```bash
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clearml-serving model [-h] {list,remove,upload,canary,auto-update,add}
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```
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### list
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List current models.
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```bash
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clearml-serving model list [-h]
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```
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### remove
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Remove model by its endpoint name.
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```bash
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clearml-serving model remove [-h] [--endpoint ENDPOINT]
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```
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**Parameter**
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<div className="tbl-cmd">
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|Name|Description|Optional|
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|`--endpoint` | Model endpoint name | <img src="/docs/latest/icons/ico-optional-no.svg" alt="No" className="icon size-md center-md" />|
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``
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</div>
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### upload
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Upload and register model files/folder.
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```bash
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clearml-serving model upload [-h] --name NAME [--tags TAGS [TAGS ...]] --project PROJECT
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[--framework {scikit-learn,xgboost,lightgbm,tensorflow,pytorch}]
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[--publish] [--path PATH] [--url URL]
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[--destination DESTINATION]
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```
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**Parameters**
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<div className="tbl-cmd">
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|Name|Description|Optional|
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|`--name`|Specifying the model name to be registered in| <img src="/docs/latest/icons/ico-optional-no.svg" alt="No" className="icon size-md center-md" />|
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|`--tags`| Add tags to the newly created model| <img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--project`| Specify the project for the model to be registered in| <img src="/docs/latest/icons/ico-optional-no.svg" alt="No" className="icon size-md center-md" />|
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|`--framework`| Specify the model framework. Options are: "scikit-learn", "xgboost", "lightgbm", "tensorflow", "pytorch" | <img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--publish`| Publish the newly created model (change model state to "published" (i.e. locked and ready to deploy)|<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--path`|Specify a model file/folder to be uploaded and registered| <img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--url`| Specify an already uploaded model url (e.g. `s3://bucket/model.bin`, `gs://bucket/model.bin`)|<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--destination`|Specify the target destination for the model to be uploaded (e.g. `s3://bucket/folder/`, `gs://bucket/folder/`)|<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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</div>
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### canary
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Add model Canary/A/B endpoint.
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```bash
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clearml-serving model canary [-h] [--endpoint ENDPOINT] [--weights WEIGHTS [WEIGHTS ...]]
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[--input-endpoints INPUT_ENDPOINTS [INPUT_ENDPOINTS ...]]
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[--input-endpoint-prefix INPUT_ENDPOINT_PREFIX]
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```
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**Parameters**
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<div className="tbl-cmd">
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|Name|Description|Optional|
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|`--list`| List current models| <img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" /> |
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|`--remove`| Remove model by its endpoint name | <img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" /> |
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|`--upload` | Upload and register model files/folder | <img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--canary` | Add model Canary/A/B endpoint | <img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--auto-update` | Add/Modify model auto update service | <img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--add` | Add/Update model | <img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--endpoint`| Model canary serving endpoint name (e.g. `my_model/latest`)| <img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--weights`| Model canary weights (order matching model ep), (e.g. 0.2 0.8) |<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--input-endpoints`|Model endpoint prefixes, can also include version (e.g. `my_model`, `my_model/v1`)| <img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--input-endpoint-prefix`| Model endpoint prefix, lexicographic order or by version `<int>` (e.g. `my_model/1`, `my_model/v1`), where the first weight matches the last version.|<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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</div>
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### auto-update
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Add/Modify model auto-update service.
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```bash
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clearml-serving model auto-update [-h] [--endpoint ENDPOINT] --engine ENGINE
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[--max-versions MAX_VERSIONS] [--name NAME]
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[--tags TAGS [TAGS ...]] [--project PROJECT]
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[--published] [--preprocess PREPROCESS]
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[--input-size INPUT_SIZE [INPUT_SIZE ...]]
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[--input-type INPUT_TYPE] [--input-name INPUT_NAME]
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[--output-size OUTPUT_SIZE [OUTPUT_SIZE ...]]
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[--output_type OUTPUT_TYPE] [--output-name OUTPUT_NAME]
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[--aux-config AUX_CONFIG [AUX_CONFIG ...]]
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```
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**Parameters**
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<div className="tbl-cmd">
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|Name|Description|Optional|
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|`--endpoint`| Base model endpoint (must be unique)| <img src="/docs/latest/icons/ico-optional-no.svg" alt="No" className="icon size-md center-md" />|
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|`--engine`| Model endpoint serving engine (triton, sklearn, xgboost, lightgbm)| <img src="/docs/latest/icons/ico-optional-no.svg" alt="No" className="icon size-md center-md" />|
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|`--max-versions`|Max versions to store (and create endpoints) for the model. Highest number is the latest version | <img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--name`| Specify model name to be selected and auto-updated (notice regexp selection use `"$name^"` for exact match) | <img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--tags`|Specify tags to be selected and auto-updated |<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--project`|Specify model project to be selected and auto-updated | <img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--published`| Only select published model for auto-update |<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--preprocess` |Specify Pre/Post processing code to be used with the model (point to local file / folder) - this should hold for all the models |<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--input-size`| Specify the model matrix input size [Rows x Columns X Channels etc ...] | <img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--input-type`| Specify the model matrix input type. Examples: uint8, float32, int16, float16 etc. |<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--input-name`|Specify the model layer pushing input into. Example: layer_0 | <img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--output-size`|Specify the model matrix output size [Rows x Columns X Channels etc ...]|<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--output_type`| Specify the model matrix output type. Examples: uint8, float32, int16, float16 etc. | <img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--output-name`|Specify the model layer pulling results from. Examples: layer_99| <img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--aux-config`| Specify additional engine specific auxiliary configuration in the form of key=value. Example: `platform=onnxruntime_onnx response_cache.enable=true max_batch_size=8`. Notice: you can also pass a full configuration file (e.g. Triton "config.pbtxt")|<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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</div>
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### add
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Add/Update model.
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```bash
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clearml-serving model add [-h] --engine ENGINE --endpoint ENDPOINT [--version VERSION]
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[--model-id MODEL_ID] [--preprocess PREPROCESS]
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[--input-size INPUT_SIZE [INPUT_SIZE ...]]
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[--input-type INPUT_TYPE] [--input-name INPUT_NAME]
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[--output-size OUTPUT_SIZE [OUTPUT_SIZE ...]]
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[--output-type OUTPUT_TYPE] [--output-name OUTPUT_NAME]
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[--aux-config AUX_CONFIG [AUX_CONFIG ...]] [--name NAME]
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[--tags TAGS [TAGS ...]] [--project PROJECT] [--published]
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```
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**Parameters**
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<div className="tbl-cmd">
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|Name|Description|Optional|
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|`--engine`| Model endpoint serving engine (triton, sklearn, xgboost, lightgbm)| <img src="/docs/latest/icons/ico-optional-no.svg" alt="No" className="icon size-md center-md" />|
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|`--endpoint`| Base model endpoint (must be unique)| <img src="/docs/latest/icons/ico-optional-no.svg" alt="No" className="icon size-md center-md" />|
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|`--version`|Model endpoint version (default: None) | <img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`model-id`|Specify a model ID to be served|<img src="/docs/latest/icons/ico-optional-no.svg" alt="No" className="icon size-md center-md" />|
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|`--preprocess` |Specify Pre/Post processing code to be used with the model (point to local file / folder) - this should hold for all the models |<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--input-size`| Specify the model matrix input size [Rows x Columns X Channels etc ...] | <img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--input-type`| Specify the model matrix input type. Examples: uint8, float32, int16, float16 etc. |<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--input-name`|Specify the model layer pushing input into. Example: layer_0 | <img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--output-size`|Specify the model matrix output size [Rows x Columns X Channels etc ...]|<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--output_type`| Specify the model matrix output type. Examples: uint8, float32, int16, float16 etc. | <img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--output-name`|Specify the model layer pulling results from. Examples: layer_99| <img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--aux-config`| Specify additional engine specific auxiliary configuration in the form of key=value. Example: `platform=onnxruntime_onnx response_cache.enable=true max_batch_size=8`. Notice: you can also pass a full configuration file (e.g. Triton "config.pbtxt")|<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--name`| Instead of specifying `model-id` select based on model name | <img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--tags`|Specify tags to be selected and auto-updated |<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--project`|Instead of specifying `model-id` select based on model project | <img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
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|`--published`| Instead of specifying `model-id` select based on model published |<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
|
||||
|
||||
</div>
|
||||
|
||||
<br/>
|
||||
|
||||
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Reference in New Issue
Block a user