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fix readme errors of resnet_thor

This commit is contained in:
mwang 2021-01-29 16:59:48 +08:00
parent 21670a5777
commit c850115d92
1 changed files with 4 additions and 4 deletions
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8
model_zoo/official/cv/resnet_thor/README.md
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@ -180,7 +180,7 @@ We need three parameters for this scripts.
- `DATASET_PATH`：the path of train dataset.
- `DEVICE_NUM`: the device number for distributed train.
Training result will be stored in the current path, whose folder name begins with "train_parallel". Under this, you can find checkpoint file together with result like the followings in log.
Training result will be stored in the current path, whose folder name begins with "train_parallel". Under this, you can find checkpoint file together with result like the following in log.
```shell
...
@ -202,7 +202,7 @@ epoch: 42 step: 5004, loss is 1.6453942
sh run_distribute_train_gpu.sh [DATASET_PATH] [DEVICE_NUM]
```
Training result will be stored in the current path, whose folder name begins with "train_parallel". Under this, you can find checkpoint file together with result like the followings in log.
Training result will be stored in the current path, whose folder name begins with "train_parallel". Under this, you can find checkpoint file together with result like the following in log.
```shell
...
@ -233,7 +233,7 @@ We need two parameters for this scripts.
> checkpoint can be produced in training process.
Inference result will be stored in the example path, whose folder name is "eval". Under this, you can find result like the followings in log.
Inference result will be stored in the example path, whose folder name is "eval". Under this, you can find result like the following in log.
```shell
result: {'top_5_accuracy': 0.9295574583866837, 'top_1_accuracy': 0.761443661971831} ckpt=train_parallel0/resnet-42_5004.ckpt
@ -245,7 +245,7 @@ Inference result will be stored in the example path, whose folder name is "eval"
sh run_eval_gpu.sh [DATASET_PATH] [CHECKPOINT_PATH]
```
Inference result will be stored in the example path, whose folder name is "eval". Under this, you can find result like the followings in log.
Inference result will be stored in the example path, whose folder name is "eval". Under this, you can find result like the following in log.
```shell
result: {'top_5_accuracy': 0.9287972151088348, 'top_1_accuracy': 0.7597031049935979} ckpt=train_parallel/resnet-36_5004.ckpt