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fix readme

This commit is contained in:
ZeyangGao 2021-08-05 09:31:19 +08:00
parent 9629b4ebd9
commit 0704216161
2 changed files with 26 additions and 24 deletions
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25
model_zoo/official/cv/resnet/README.md
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@ -202,18 +202,19 @@ If you want to run in modelarts, please check the official documentation of [mod
.
└──resnet
├── README.md
├── config
├── resnet18_cifar10_config.yaml # parameter configuration
├── resnet18_cifar10_config_gpu.yaml # parameter configuration
├── resnet18_imagenet2012_config.yaml # parameter configuration
├── resnet18_imagenet2012_config_gpu.yaml # parameter configuration
├── resnet34_imagenet2012_config.yaml # parameter configuration
├── resnet50_cifar10_config.yaml # parameter configuration
├── resnet50_imagenet2012_Ascend_config.yaml # parameter configuration
├── resnet50_imagenet2012_config.yaml # parameter configuration
├── resnet50_imagenet2012_GPU_config.yaml # parameter configuration
├── resnet101_imagenet2012_config.yaml # parameter configuration
└── se-resnet50_imagenet2012_config.yaml # parameter configuration
├── config # parameter configuration
├── resnet18_cifar10_config.yaml
├── resnet18_cifar10_config_gpu.yaml
├── resnet18_imagenet2012_config.yaml
├── resnet18_imagenet2012_config_gpu.yaml
├── resnet34_imagenet2012_config.yaml
├── resnet50_cifar10_config.yaml
├── resnet50_imagenet2012_Acc_config.yaml # High performance version: The performance is improved by more than 10% and the precision decrease less than 1%
├── resnet50_imagenet2012_Ascend_Thor_config.yaml
├── resnet50_imagenet2012_config.yaml
├── resnet50_imagenet2012_GPU_Thor_config.yaml
├── resnet101_imagenet2012_config.yaml
└── se-resnet50_imagenet2012_config.yaml
├── scripts
├── run_distribute_train.sh # launch ascend distributed training(8 pcs)
├── run_parameter_server_train.sh # launch ascend parameter server training(8 pcs)

25
model_zoo/official/cv/resnet/README_CN.md
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@ -188,18 +188,19 @@ bash run_eval_gpu.sh [DATASET_PATH] [CHECKPOINT_PATH] [CONFIG_PATH]
.
└──resnet
├── README.md
├── config
├── resnet18_cifar10_config.yaml # 参数配置
├── resnet18_cifar10_config_gpu.yaml # 参数配置
├── resnet18_imagenet2012_config.yaml # 参数配置
├── resnet18_imagenet2012_config_gpu.yaml # 参数配置
├── resnet34_imagenet2012_config.yaml # 参数配置
├── resnet50_cifar10_config.yaml # 参数配置
├── resnet50_imagenet2012_Ascend_config.yaml # 参数配置
├── resnet50_imagenet2012_config.yaml # 参数配置
├── resnet50_imagenet2012_GPU_config.yaml # 参数配置
├── resnet101_imagenet2012_config.yaml # 参数配置
├── se-resnet50_imagenet2012_config.yaml # 参数配置
├── config # 参数配置
├── resnet18_cifar10_config.yaml
├── resnet18_cifar10_config_gpu.yaml
├── resnet18_imagenet2012_config.yaml
├── resnet18_imagenet2012_config_gpu.yaml
├── resnet34_imagenet2012_config.yaml
├── resnet50_cifar10_config.yaml
├── resnet50_imagenet2012_Acc_config.yaml # 高性能版本：性能提高超过10%而精度下降少于1%
├── resnet50_imagenet2012_Ascend_Thor_config.yaml
├── resnet50_imagenet2012_config.yaml
├── resnet50_imagenet2012_GPU_Thor_config.yaml
├── resnet101_imagenet2012_config.yaml
├── se-resnet50_imagenet2012_config.yaml
├── scripts
├── run_distribute_train.sh # 启动Ascend分布式训练（8卡）
├── run_parameter_server_train.sh # 启动Ascend参数服务器训练(8卡)