These are quick configs for performance or accuracy regression tracking purposes.

• *instance_test.yaml: can train on 2 GPUs. They are used to test whether the training can successfully finish. They are not expected to produce reasonable training results.
• *inference_acc_test.yaml: They should be run using --eval-only. They run inference using pre-trained models and verify the results are as expected.
• *training_acc_test.yaml: They should be trained on 8 GPUs. They finish in about an hour and verify the training accuracy is within the normal range.