m53297601
/
mindspore
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity

update googlenet README

Browse Source
pull/7917/head
CaoJian 4 years ago
parent 5ca155ae6b
commit c28eaa7fa8
1 changed files with 13 additions and 12 deletions
Show Stats Download Patch File Download Diff File

25
model_zoo/official/cv/googlenet/README.md
Unescape View File

@ -41,6 +41,7 @@ Specifically, the GoogleNet contains numerous inception modules, which are conne
# [Dataset](#contents)
Note that you can run the scripts based on the dataset mentioned in original paper or widely used in relevant domain/network architecture. In the following sections, we will introduce how to run the scripts using the related dataset below.
Dataset used: [CIFAR-10](<http://www.cs.toronto.edu/~kriz/cifar.html>)
@ -167,11 +168,11 @@ Parameters for both training and evaluation can be set in config.py
'image_width': 224 # image width used as input to the model
'data_path': './cifar10' # absolute full path to the train and evaluation datasets
'device_target': 'Ascend' # device running the program
'device_id': 4 # device ID used to train or evaluate the dataset. Ignore it when you use run_train.sh for distributed training
'device_id': 0 # device ID used to train or evaluate the dataset. Ignore it when you use run_train.sh for distributed training
'keep_checkpoint_max': 10 # only keep the last keep_checkpoint_max checkpoint
'checkpoint_path': './train_googlenet_cifar10-125_390.ckpt' # the absolute full path to save the checkpoint file
'onnx_filename': 'googlenet.onnx' # file name of the onnx model used in export.py
'geir_filename': 'googlenet.geir' # file name of the geir model used in export.py
'air_filename': 'googlenet.air' # file name of the air model used in export.py
```
For more configuration details, please refer the script `config.py`.
@ -265,7 +266,7 @@ For more configuration details, please refer the script `config.py`.
Note that for evaluation after distributed training, please set the checkpoint_path to be the last saved checkpoint file such as "username/googlenet/train_parallel0/train_googlenet_cifar10-125_48.ckpt". The accuracy of the test dataset will be as follows:
```
# grep "accuracy: " dist.eval.log
# grep "accuracy: " eval.log
accuracy: {'acc': 0.9217}
```
@ -310,8 +311,8 @@ For more configuration details, please refer the script `config.py`.
| -------------------------- | ----------------------------------------------------------- | ---------------------- |
| Model Version | Inception V1 | Inception V1 |
| Resource | Ascend 910 ；CPU 2.60GHz，192cores；Memory，755G | NV SMX2 V100-32G |
| uploaded Date | 08/31/2020 (month/day/year) | 08/20/2020 (month/day/year) |
| MindSpore Version | 0.7.0-alpha | 0.6.0-alpha |
| uploaded Date | 10/28/2020 (month/day/year) | 10/28/2020 (month/day/year) |
| MindSpore Version | 1.0.0 | 1.0.0 |
| Dataset | CIFAR-10 | CIFAR-10 |
| Training Parameters | epoch=125, steps=390, batch_size = 128, lr=0.1 | epoch=125, steps=390, batch_size=128, lr=0.1 |
| Optimizer | Momentum | Momentum |
@ -323,15 +324,15 @@ For more configuration details, please refer the script `config.py`.
| Parameters (M) | 13.0 | 13.0 |
| Checkpoint for Fine tuning | 43.07M (.ckpt file) | 43.07M (.ckpt file) |
| Model for inference | 21.50M (.onnx file), 21.60M(.air file) | |
| Scripts | [googlenet script](https://gitee.com/mindspore/mindspore/tree/r0.7/model_zoo/official/cv/googlenet) | [googlenet script](https://gitee.com/mindspore/mindspore/tree/r0.6/model_zoo/official/cv/googlenet) |
| Scripts | [googlenet script](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/googlenet) | [googlenet script](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/googlenet) |
#### GoogleNet on 1200k images
| Parameters | Ascend |
| -------------------------- | ----------------------------------------------------------- |
| Model Version | Inception V1 |
| Resource | Ascend 910, CPU 2.60GHz, 56cores, Memory 314G |
| uploaded Date | 09/20/2020 (month/day/year) |
| MindSpore Version | 0.7.0-alpha |
| uploaded Date | 10/28/2020 (month/day/year) |
| MindSpore Version | 1.0.0 |
| Dataset | 1200k images |
| Training Parameters | epoch=300, steps=5000, batch_size=256, lr=0.1 |
| Optimizer | Momentum |
@ -352,8 +353,8 @@ For more configuration details, please refer the script `config.py`.
| ------------------- | --------------------------- | --------------------------- |
| Model Version | Inception V1 | Inception V1 |
| Resource | Ascend 910 | GPU |
| Uploaded Date | 08/31/2020 (month/day/year) | 08/20/2020 (month/day/year) |
| MindSpore Version | 0.7.0-alpha | 0.6.0-alpha |
| Uploaded Date | 10/28/2020 (month/day/year) | 10/28/2020 (month/day/year) |
| MindSpore Version | 1.0.0 | 1.0.0 |
| Dataset | CIFAR-10, 10,000 images | CIFAR-10, 10,000 images |
| batch_size | 128 | 128 |
| outputs | probability | probability |
@ -365,8 +366,8 @@ For more configuration details, please refer the script `config.py`.
| ------------------- | --------------------------- |
| Model Version | Inception V1 |
| Resource | Ascend 910 |
| Uploaded Date | 09/20/2020 (month/day/year) |
| MindSpore Version | 0.7.0-alpha |
| Uploaded Date | 10/28/2020 (month/day/year) |
| MindSpore Version | 1.0.0 |
| Dataset | 1200k images |
| batch_size | 256 |
| outputs | probability |

Write Preview
Loading…
Cancel
Save