Variable Correction for Consistency in Distillation Example (#11444)

As the error comes from the inconsistency of variable meaning number of gpus in parser and its actual usage in the train.py script, 'gpus' and 'n_gpu' respectively,  the correction makes the example work

examples/research_projects/distillation/README.md

@@ -163,7 +163,7 @@ python -m torch.distributed.launch \
     --master_port $MASTER_PORT \
     train.py \
         --force \
-        --gpus $WORLD_SIZE \
+        --n_gpu $WORLD_SIZE \
         --student_type distilbert \
         --student_config training_configs/distilbert-base-uncased.json \
         --teacher_type bert \

examples/research_projects/distillation/train.py

@@ -210,7 +210,7 @@ def main():
         help="For fp16: Apex AMP optimization level selected in ['O0', 'O1', 'O2', and 'O3']."
         "See details at https://nvidia.github.io/apex/amp.html",
     )
-    parser.add_argument("--gpus", type=int, default=1, help="Number of GPUs in the node.")
+    parser.add_argument("--n_gpu", type=int, default=1, help="Number of GPUs in the node.")
     parser.add_argument("--local_rank", type=int, default=-1, help="Distributed training - Local rank")
     parser.add_argument("--seed", type=int, default=56, help="Random seed")