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AlexNet Example

Description

Training AlexNet with dataset in MindSpore.

This is the simple tutorial for training AlexNet in MindSpore.

Requirements

Install MindSpore.
Download the dataset, the directory structure is as follows:

├─10-batches-bin
│
└─10-verify-bin

Running the example

# train AlexNet, hyperparameter setting in config.py
python train.py --data_path 10-batches-bin

You will get the loss value of each step as following:

epoch: 1 step: 1, loss is 2.2791853
...
epoch: 1 step: 1536, loss is 1.9366643
epoch: 1 step: 1537, loss is 1.6983616
epoch: 1 step: 1538, loss is 1.0221305
...

Then, evaluate AlexNet according to network model

# evaluate AlexNet
python eval.py --data_path 10-verify-bin --ckpt_path checkpoint_alexnet-1_1562.ckpt

Note

Here are some optional parameters:

--device_target {Ascend,GPU}
                     device where the code will be implemented (default: Ascend)
--data_path DATA_PATH
                     path where the dataset is saved
--dataset_sink_mode DATASET_SINK_MODE
                     dataset_sink_mode is False or True

You can run python train.py -h or python eval.py -h to get more information.

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