fix readmefile for resnet50_thor

This commit is contained in:
wangmin 2020-10-12 20:05:07 +08:00
parent b73cdd903d
commit 675544428d
1 changed files with 7 additions and 5 deletions

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@ -97,7 +97,9 @@ sh run_eval_gpu.sh [DATASET_PATH] [CHECKPOINT_PATH]
│ ├── thor_layer.py # thor layer
│ └── dataset.py # data preprocessing
├── eval.py # infer script
└── train.py # train script
├── train.py # train script
├── export.py # export checkpoint file into air file
└── mindspore_hub_conf.py # config file for mindspore hub repository
```
### Script Parameters
@ -229,16 +231,16 @@ Inference result will be stored in the example path, whose folder name is "eval"
| -------------------------- | -------------------------------------- |---------------------------------- |
| Model Version | ResNet50-v1.5 |ResNet50-v1.5|
| Resource | Ascend 910CPU 2.60GHz 192coresMemory 755G | GPU(Tesla V100 SXM2)CPU 2.1GHz 24coresMemory 128G
| uploaded Date | 06/01/2020 (month/day/year) |
| MindSpore Version | 0.3.0-alpha | |
| uploaded Date | 06/01/2020 (month/day/year) | 09/23/2020(month/day/year)
| MindSpore Version | 0.3.0-alpha | 1.0.0 |
| Dataset | ImageNet2012 | ImageNet2012|
| Training Parameters | epoch=42, steps per epoch=5004, batch_size = 32 |epoch=36, steps per epoch=5004, batch_size = 32 |
| Training Parameters | epoch=45, steps per epoch=5004, batch_size = 32 |epoch=40, steps per epoch=5004, batch_size = 32 |
| Optimizer | THOR |THOR|
| Loss Function | Softmax Cross Entropy |Softmax Cross Entropy |
| outputs | probability | probability |
| Loss |1.6453942 | 1.645802 |
| Speed | 20.4ms/step8pcs |76ms/step8pcs|
| Total time | 72 mins | 229 mins|
| Total time(acc to 75.9%) | 72 mins | 229 mins|
| Parameters (M) | 25.5 | 25.5 |
| Checkpoint for Fine tuning | 491M (.ckpt file) |380M (.ckpt file) |
| Scripts | [Link](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/resnet_thor) |[Link](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/cv/resnet_thor) |