update TF code

TensorFlow/ComputeVision/Accuracy_Validation/README.md

@@ -13,7 +13,7 @@
 # 单卡测试 (混合精度)
 
 ## 运行
-    
+    export HIP_VISIBLE_DEVICES=0    
     python3 ./benchmarks-master/scripts/tf_cnn_benchmarks/tf_cnn_benchmarks.py --data_format=NCHW --batch_size=128 --model=resnet50 --optimizer=momentum --variable_update=parameter_server  --print_training_accuracy=true  --nodistortions --num_gpus=4 --num_epochs=90 --weight_decay=1e-4 --data_dir=$data_dir_path   --use_fp16=True --data_name=imagenet --train_dir=$save_checkpoint_path
 
 # 多卡测试 (单精度)

TensorFlow2x/Accuracy_Validation/ResNet50_Official/README.md

@@ -6,25 +6,25 @@
 
 ## 运行
 
-  export PYTHONPATH=$PYTHONPATH:/path/to/tensorflow/model
-  export HIP_VISIBLE_DEVICES=0
-  python3 official/vision/image_classification/resnet/resnet_ctl_imagenet_main.py --data_dir=/path/to/{ImageNet-tensorflow_data_dir} --model_dir=/path/to/{model_save_dir} --batch_size=128 --num_gpus=1  --use_synthetic_data=false
+    export PYTHONPATH=$PYTHONPATH:/path/to/tensorflow/model    
+    export HIP_VISIBLE_DEVICES=0
+    python3 official/vision/image_classification/resnet/resnet_ctl_imagenet_main.py --data_dir=/path/to/{ImageNet-tensorflow_data_dir} --model_dir=/path/to/{model_save_dir} --batch_size=128 --num_gpus=1  --use_synthetic_data=false
   
 # 单卡测试 （混合精度）
 
 ## 运行 
 
-  export PYTHONPATH=$PYTHONPATH:/path/to/tensorflow/model
-  export HIP_VISIBLE_DEVICES=0
-  python3 official/vision/image_classification/resnet/resnet_ctl_imagenet_main.py --data_dir=/path/to/{ImageNet-tensorflow_data_dir} --model_dir=/path/to/{model_save_dir} --batch_size=128 --num_gpus=1  --use_synthetic_data=false --dtype=fp16
+    export PYTHONPATH=$PYTHONPATH:/path/to/tensorflow/model
+    export HIP_VISIBLE_DEVICES=0
+    python3 official/vision/image_classification/resnet/resnet_ctl_imagenet_main.py --data_dir=/path/to/{ImageNet-tensorflow_data_dir} --model_dir=/path/to/{model_save_dir} --batch_size=128 --num_gpus=1  --use_synthetic_data=false --dtype=fp16
 
 # 多卡测试 （单精度）
 
 ## 运行
 
-  mpirun -np $np --hostfile hostfile --bind-to none scripts-run/single_process.sh
+    mpirun -np $np --hostfile hostfile --bind-to none scripts-run/single_process.sh
 
-  多卡测试时需要修改部分代码，具体可参考[https://tensorflow.google.cn/guide/migrate/multi_worker_cpu_gpu_training?hl=en]   
+    多卡测试时需要修改部分代码，具体可参考[https://tensorflow.google.cn/guide/migrate/multi_worker_cpu_gpu_training?hl=en]   
 
 # 参考
 [https://github.com/tensorflow/models/tree/v2.7.0](https://github.com/tensorflow/models/tree/v2.7.0/official/vision/image_classification/resnet)