Huawei_Technology
/
mindspore
Not watched
1
0
Fork 0
Code
Releases 13 Wiki evaluate Activity
Issues 0 Pull Requests 0 Datasets Model Cloudbrain HPC
You can not select more than 25 topics Topics must start with a chinese character,a letter or number, can include dashes ('-') and can be up to 35 characters long.
4120 Commits
11 Branches
1.3 GB
177 Download
 
 
 
 
 
 
Tree: a04d497118
Branches Tags
${ item.name }
Create branch ${ searchTerm }
from 'a04d497118'
${ noResults }
mindspore/model_zoo/alexnet
mindspore-ci-bot 8d34c65592 !2370 modify alexnet shell def get_lr args 5 years ago
..
src add src dir 5 years ago
README.md add src dir 5 years ago
eval.py !2370 modify alexnet shell def get_lr args 5 years ago
train.py !2370 modify alexnet shell def get_lr args 5 years ago

README.md

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.

Delete task

Are you sure you want to delete this task? Once this task is deleted, it cannot be recovered.

cancel
confirm

MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.

C++ Python Text Unity3D Asset C other