[example] fix benchmark.sh for gpt example (#2229)

examples/language/gpt/benchmark.sh

-for MODEL_NAME in "GPT2small"
+for MODEL_TYPE in "gpt2_medium"
 do
-for BATCH_SIZE in 8
+for BATCH_SIZE in 16
 do
 for GPUNUM in 1 2 4 8
 do
@@ -11,8 +11,8 @@ then
     continue
 fi
 echo "****************** Begin ***************************"
-echo "* benchmrking MODEL_NAME ${MODEL_NAME} BS ${BATCH_SIZE} BS ${BS} GPUNUM ${GPUNUM} TPDEGREE ${TPDEGREE}"
-bash ./run.sh
+echo "* benchmrking MODEL_TYPE ${MODEL_TYPE} BS ${BATCH_SIZE} BS ${BS} GPUNUM ${GPUNUM} TPDEGREE ${TPDEGREE}"
+MODEL_TYPE=${MODEL_TYPE} BATCH_SIZE=${BATCH_SIZE} GPUNUM=${GPUNUM} TPDEGREE=${TPDEGREE} bash ./run.sh
 echo "****************** Finished ***************************"
 echo ""
 echo ""

examples/language/gpt/run.sh

 # distplan in ["colossalai", "zero1", "zero2", "torch_ddp", "torch_zero"]
-export DISTPAN={$DISTPAN:-"colossalai"}
+export DISTPAN=${DISTPAN:-"colossalai"}
 
 # The following options only valid when DISTPAN="colossalai"
-export TPDEGREE=${TPDEGREE:-1}
 export GPUNUM=${GPUNUM:-1}
-export PLACEMENT=${PLACEMENT:'const'}
-export USE_SHARD_INIT=${USE_SHARD_INIT:False}
-export BATCH_SIZE=${BATCH_SIZE:-8}
-export MODEL_TYPE=${MODEL_TYPE:"gpt2_medium"}
+export TPDEGREE=${TPDEGREE:-1}
+export PLACEMENT=${PLACEMENT:-"const"}
+export USE_SHARD_INIT=${USE_SHARD_INIT:-False}
+export BATCH_SIZE=${BATCH_SIZE:-16}
+export MODEL_TYPE=${MODEL_TYPE:-"gpt2_medium"}
 
 mkdir -p logs
 torchrun --standalone --nproc_per_node=${GPUNUM} train_gpt_demo.py --tp_degree=${TPDEGREE} --model_type=${MODEL_TYPE} --batch_size=${BATCH_SIZE} --placement ${PLACEMENT} --shardinit ${USE_SHARD_INIT} --distplan ${DISTPAN} 2>&1 | tee ./logs/${MODEL_TYPE}_${DISTPAN}_gpu_${GPUNUM}_bs_${BATCH_SIZE}_tp_${TPDEGREE}.log