fix 8-gpus training command for TridentNet
Summary:
num_gpus shuold be --num-gpus.
Pull Request resolved:
@@ -23,7 +23,7 @@ python /path/to/detectron2/projects/TridentNet/train_net.py --config-file <confi
For example, to launch end-to-end TridentNet training with ResNet-50 backbone on 8 GPUs,
one should execute:
```bash
-python /path/to/detectron2/projects/TridentNet/train_net.py --config-file configs/tridentnet_fast_R_50_C4_1x.yaml --num_gpus 8
+python /path/to/detectron2/projects/TridentNet/train_net.py --config-file configs/tridentnet_fast_R_50_C4_1x.yaml --num-gpus 8
```
## Evaluation
