提交 bd3e8da6 编写于 作者: M mindspore-ci-bot 提交者: Gitee

!1850 remove --mode test

Merge pull request !1850 from wukesong/modify_readme
...@@ -39,7 +39,7 @@ epoch: 1 step: 1538, loss is 1.0221305 ...@@ -39,7 +39,7 @@ epoch: 1 step: 1538, loss is 1.0221305
Then, evaluate AlexNet according to network model Then, evaluate AlexNet according to network model
```python ```python
# evaluate AlexNet, 1 epoch training accuracy is up to 51.1%; 10 epoch training accuracy is up to 81.2% # evaluate AlexNet, 1 epoch training accuracy is up to 51.1%; 10 epoch training accuracy is up to 81.2%
python eval.py --data_path cifar-10-verify-bin --mode test --ckpt_path checkpoint_alexnet-1_1562.ckpt python eval.py --data_path cifar-10-verify-bin --ckpt_path checkpoint_alexnet-1_1562.ckpt
``` ```
## Note ## Note
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...@@ -44,7 +44,7 @@ epoch: 1 step: 1741, loss is 0.05018193 ...@@ -44,7 +44,7 @@ epoch: 1 step: 1741, loss is 0.05018193
Then, evaluate LeNet according to network model Then, evaluate LeNet according to network model
```python ```python
# evaluate LeNet, after 1 epoch training, the accuracy is up to 96.5% # evaluate LeNet, after 1 epoch training, the accuracy is up to 96.5%
python eval.py --data_path MNIST_Data --mode test --ckpt_path checkpoint_lenet-1_1875.ckpt python eval.py --data_path MNIST_Data --ckpt_path checkpoint_lenet-1_1875.ckpt
``` ```
## Note ## Note
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