forked from mindspore-Ecosystem/mindspore
fix readmefile for resnet50_thor
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@ -97,7 +97,9 @@ sh run_eval_gpu.sh [DATASET_PATH] [CHECKPOINT_PATH]
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│ ├── thor_layer.py # thor layer
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│ └── dataset.py # data preprocessing
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├── eval.py # infer script
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└── train.py # train script
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├── train.py # train script
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├── export.py # export checkpoint file into air file
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└── mindspore_hub_conf.py # config file for mindspore hub repository
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```
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### Script Parameters
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@ -229,16 +231,16 @@ Inference result will be stored in the example path, whose folder name is "eval"
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| -------------------------- | -------------------------------------- |---------------------------------- |
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| Model Version | ResNet50-v1.5 |ResNet50-v1.5|
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| Resource | Ascend 910,CPU 2.60GHz 192cores,Memory 755G | GPU(Tesla V100 SXM2),CPU 2.1GHz 24cores,Memory 128G
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| uploaded Date | 06/01/2020 (month/day/year) |
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| MindSpore Version | 0.3.0-alpha | |
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| uploaded Date | 06/01/2020 (month/day/year) | 09/23/2020(month/day/year)
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| MindSpore Version | 0.3.0-alpha | 1.0.0 |
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| Dataset | ImageNet2012 | ImageNet2012|
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| Training Parameters | epoch=42, steps per epoch=5004, batch_size = 32 |epoch=36, steps per epoch=5004, batch_size = 32 |
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| Training Parameters | epoch=45, steps per epoch=5004, batch_size = 32 |epoch=40, steps per epoch=5004, batch_size = 32 |
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| Optimizer | THOR |THOR|
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| Loss Function | Softmax Cross Entropy |Softmax Cross Entropy |
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| outputs | probability | probability |
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| Loss |1.6453942 | 1.645802 |
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| Speed | 20.4ms/step(8pcs) |76ms/step(8pcs)|
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| Total time | 72 mins | 229 mins|
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| Total time(acc to 75.9%) | 72 mins | 229 mins|
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| Parameters (M) | 25.5 | 25.5 |
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| Checkpoint for Fine tuning | 491M (.ckpt file) |380M (.ckpt file) |
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| 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) |
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