AI Stress Testing
==========================

To run RIME on image data, execute the RIME CLI using the `rime-engine run-images` command and specify the runtime parameters using the `--config-path` argument. Below is an overview of the supported configuration arguments for the runtime config.

### Template
```python
{
  "run_name": "Run Name",                       (REQUIRED)
  "data_info": {...},                           (REQUIRED)
  "model_task": "Task Name",                    (REQUIRED)
  "model_info": {...},
  "data_profiling_info": {...},
  "tests_config_path": "path/to/tests/config",
  "prediction_info": {...},
  "random_seed": null,
}
```

### Arguments

- **`run_name`**: string, ***required***

    The name under which your run will appear in the UI.

- **`data_info`**: DataInfo, ***required***

    Configuration for the datasources to use. For a reference on how to configure a datasource, see [Data Configuration](data_source.md).

- **`model_info`**: ModelInfo, ***required***

    Configuration for the model to use. For a reference on how to configure a model, see [Model Configuration](model_source.md). If you are not providing a model, this should be `null`.

- **`model_task`**: string, ***required***

    Specification of the model task. Currently, the supported values are `"Image Classification", "Object Detection"`.

- `data_profiling_info`: DataProfilingInfo, *default* = `DataProfilingInfo()`

    Specification of how to profile and interpret the data. For a guide on how
    to specify this info, see [Data Profiling Configuration](data_profiling.md).

    NOTE: this argument can also not be provided, in which can all the defaults
    will be used.

- `tests_config_path`: string or `null`, *default* = `null`

    Path to a TestSuiteConfig JSON file. If path is `null` RIME will use the default [TestSuiteConfig](test_suite) for the specified model task.

- `prediction_info`: PredictionInfo or `null`, *default* = `null`

    Specification of how to handle model predictions for this run. For a guide on how to specify this info, see [CV Prediction Configuration](prediction_info.md). NOTE: this argument can also not be provided, in which case the default configuration is used.

- `random_seed`: int or `null`, *default* = `null`

    The random seed to use for the run.