|
|
|
@@ -46,7 +46,7 @@ Dataset used: [CIFAR-10](<http://www.cs.toronto.edu/~kriz/cifar.html>) |
|
|
|
|
|
|
|
- Dataset size：175M，60,000 32*32 colorful images in 10 classes
|
|
|
|
- Train：146M，50,000 images
|
|
|
|
- Test：29.3M，10,000 images
|
|
|
|
- Test：29M，10,000 images
|
|
|
|
- Data format：binary files
|
|
|
|
- Note：Data will be processed in src/dataset.py
|
|
|
|
|
|
|
|
@@ -301,8 +301,8 @@ Parameters for both training and evaluation can be set in config.py |
|
|
|
| -------------------------- | ----------------------------------------------------------- | ---------------------- |
|
|
|
|
| Model Version | Inception V1 | Inception V1 |
|
|
|
|
| Resource | Ascend 910 ；CPU 2.60GHz，56cores；Memory，314G | NV SMX2 V100-32G |
|
|
|
|
| uploaded Date | 06/09/2020 (month/day/year) | 08/20/2020 |
|
|
|
|
| MindSpore Version | 0.2.0-alpha | 0.6.0-alpha |
|
|
|
|
| uploaded Date | 08/31/2020 (month/day/year) | 08/20/2020 (month/day/year) |
|
|
|
|
| MindSpore Version | 0.7.0-alpha | 0.6.0-alpha |
|
|
|
|
| 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 | SGD | SGD |
|
|
|
|
@@ -314,7 +314,7 @@ Parameters for both training and evaluation can be set in 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/master/model_zoo/official/cv/googlenet) | [googlenet script](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/googlenet) |
|
|
|
|
| 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) |
|
|
|
|
|
|
|
|
|
|
|
|
### Inference Performance
|
|
|
|
@@ -323,8 +323,8 @@ Parameters for both training and evaluation can be set in config.py |
|
|
|
| ------------------- | --------------------------- | --------------------------- |
|
|
|
|
| Model Version | Inception V1 | Inception V1 |
|
|
|
|
| Resource | Ascend 910 | GPU |
|
|
|
|
| Uploaded Date | 06/09/2020 (month/day/year) | 08/20/2020 (month/day/year) |
|
|
|
|
| MindSpore Version | 0.2.0-alpha | 0.6.0-alpha |
|
|
|
|
| Uploaded Date | 08/31/2020 (month/day/year) | 08/20/2020 (month/day/year) |
|
|
|
|
| MindSpore Version | 0.7.0-alpha | 0.6.0-alpha |
|
|
|
|
| Dataset | CIFAR-10, 10,000 images | CIFAR-10, 10,000 images |
|
|
|
|
| batch_size | 128 | 128 |
|
|
|
|
| outputs | probability | probability |
|
|
|
|
|
mindspore-ci-bot
Gitee
5 years ago