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!21175 update readme 

Merge pull request !21175 from Shawny/resnestv2_1
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i-robot 2021-07-31 07:54:20 +00:00 committed by Gitee
parent 3bbdf491d6 1265a7a636
commit 66328d052d
1 changed files with 13 additions and 26 deletions
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39
model_zoo/research/cv/resnetv2/README_CN.md
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@ -66,18 +66,15 @@ ResNet系列模型是在2015年提出的，该网络创新性的提出了残差
```Shell
# 分布式训练
用法：
cd ./scripts
sh run_distribute_train.sh [resnetv2_50|resnetv2_101|resnetv2_152] [cifar10|imagenet2012] [RANK_TABLE_FILE] [DATASET_PATH]
bash scripts/run_distribute_train.sh [resnetv2_50|resnetv2_101|resnetv2_152] [cifar10|imagenet2012] [RANK_TABLE_FILE] [DATASET_PATH]
# 单机训练
用法：
cd ./scripts
sh run_standalone_train.sh [resnetv2_50|resnetv2_101|resnetv2_152] [cifar10|imagenet2012] [DATASET_PATH]
bash scripts/run_standalone_train.sh [resnetv2_50|resnetv2_101|resnetv2_152] [cifar10|imagenet2012] [DATASET_PATH]
# 运行评估示例
用法：
cd ./scripts
sh run_eval.sh [resnetv2_50|resnetv2_101|resnetv2_152] [cifar10|imagenet2012] [DATASET_PATH] [CHECKPOINT_PATH]
bash scripts/run_eval.sh [resnetv2_50|resnetv2_101|resnetv2_152] [cifar10|imagenet2012] [DATASET_PATH] [CHECKPOINT_PATH]
```
- GPU处理器环境运行
@ -85,18 +82,15 @@ sh run_eval.sh [resnetv2_50|resnetv2_101|resnetv2_152] [cifar10|imagenet2012] [D
```shell
# 分布式训练
用法：
cd ./scripts
sh run_distribute_train_gpu.sh [resnetv2_50|resnetv2_101|resnetv2_152] [cifar10|imagenet2012] [RANK_TABLE_FILE] [DATASET_PATH]
bash scripts/run_distribute_train_gpu.sh [resnetv2_50|resnetv2_101|resnetv2_152] [cifar10|imagenet2012] [RANK_TABLE_FILE] [DATASET_PATH]
# 单机训练
用法：
cd ./scripts
sh run_standalone_train_gpu.sh [resnetv2_50|resnetv2_101|resnetv2_152] [cifar10|imagenet2012] [DATASET_PATH]
bash scripts/run_standalone_train_gpu.sh [resnetv2_50|resnetv2_101|resnetv2_152] [cifar10|imagenet2012] [DATASET_PATH]
# 运行评估示例
用法：
cd ./scripts
sh run_eval_gpu.sh [resnetv2_50|resnetv2_101|resnetv2_152] [cifar10|imagenet2012] [DATASET_PATH] [CHECKPOINT_PATH]
bash scripts/run_eval_gpu.sh [resnetv2_50|resnetv2_101|resnetv2_152] [cifar10|imagenet2012] [DATASET_PATH] [CHECKPOINT_PATH]
```
# 脚本说明
@ -181,13 +175,11 @@ sh run_eval_gpu.sh [resnetv2_50|resnetv2_101|resnetv2_152] [cifar10|imagenet2012
```Shell
# 分布式训练
用法：
cd ./scripts
sh run_distribute_train.sh [resnetv2_50|resnetv2_101|resnetv2_152] [cifar10|imagenet2012] [RANK_TABLE_FILE] [DATASET_PATH]
bash scripts/run_distribute_train.sh [resnetv2_50|resnetv2_101|resnetv2_152] [cifar10|imagenet2012] [RANK_TABLE_FILE] [DATASET_PATH]
# 单机训练
用法：
cd ./scripts
sh run_standalone_train.sh [resnetv2_50|resnetv2_101|resnetv2_152] [cifar10|imagenet2012] [DATASET_PATH]
bash scripts/run_standalone_train.sh [resnetv2_50|resnetv2_101|resnetv2_152] [cifar10|imagenet2012] [DATASET_PATH]
```
分布式训练需要提前创建JSON格式的HCCL配置文件。
@ -199,13 +191,11 @@ sh run_standalone_train.sh [resnetv2_50|resnetv2_101|resnetv2_152] [cifar10|imag
```shell
# 分布式训练
用法：
cd ./scripts
sh run_distribute_train_gpu.sh [resnetv2_50|resnetv2_101|resnetv2_152] [cifar10|imagenet2012] [RANK_TABLE_FILE] [DATASET_PATH]
bash scripts/run_distribute_train_gpu.sh [resnetv2_50|resnetv2_101|resnetv2_152] [cifar10|imagenet2012] [RANK_TABLE_FILE] [DATASET_PATH]
# 单机训练
用法：
cd ./scripts
sh run_standalone_train_gpu.sh [resnetv2_50|resnetv2_101|resnetv2_152] [cifar10|imagenet2012] [DATASET_PATH]
bash scripts/run_standalone_train_gpu.sh [resnetv2_50|resnetv2_101|resnetv2_152] [cifar10|imagenet2012] [DATASET_PATH]
```
## 结果
@ -245,8 +235,7 @@ epoch time: 813347.102 ms, per step time: 325.075 ms
```Shell
# 评估
用法：
cd ./scripts
sh run_eval.sh [resnetv2_50|resnetv2_101|resnetv2_152] [cifar10|imagenet2012] [DATASET_PATH] [CHECKPOINT_PATH]
bash scripts/run_eval.sh [resnetv2_50|resnetv2_101|resnetv2_152] [cifar10|imagenet2012] [DATASET_PATH] [CHECKPOINT_PATH]
```
### GPU处理器环境运行
@ -254,8 +243,7 @@ sh run_eval.sh [resnetv2_50|resnetv2_101|resnetv2_152] [cifar10|imagenet2012] [D
```shell
# 运行评估示例
用法：
cd ./scripts
sh run_eval_gpu.sh [resnetv2_50|resnetv2_101|resnetv2_152] [cifar10|imagenet2012] [DATASET_PATH] [CHECKPOINT_PATH]
bash scripts/run_eval_gpu.sh [resnetv2_50|resnetv2_101|resnetv2_152] [cifar10|imagenet2012] [DATASET_PATH] [CHECKPOINT_PATH]
```
## 结果
@ -291,8 +279,7 @@ python export.py --ckpt_file [CKPT_PATH] --file_name [FILE_NAME] --file_format [
```shell
# Ascend310 inference
cd ./scripts
bash run_infer_310.sh [MINDIR_PATH] [DATASET] [DATA_PATH] [DEVICE_ID]
bash scripts/run_infer_310.sh [MINDIR_PATH] [DATASET] [DATA_PATH] [DEVICE_ID]
```
- `DATASET` 为数据集类型，如cifar10, cifar100等。