dawn-bench-models/tensorflow/CIFAR10/README.md

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2017-08-17 12:43:17 -06:00
# ResNets on TensorFlow
To train a ResNet, run,
```bash
python3 resnet/resnet_main.py --train_data_path=cifar10/data_batch* --log_root=data/resnet20/log_root \
--train_dir=data/resnet20/log_root/train --dataset='cifar10' --model=resnet20 \
--num_gpus=1 --checkpoint_dir=data/resnet20/checkpoints --data_format=NCHW
```
To evaluate resulting checkpoints, run,
```bash
python3 eval_checkpoints.py -i data/resnet20/checkpoints \
-c "python3 resnet/resnet_main.py --mode=eval --eval_data_path=cifar10/test_batch.bin --eval_dir=data/resnet20/log_root/eval --dataset='cifar10' --model=resnet20 --num_gpus=1 --eval_batch_count=100 --eval_once=True --data_format=NCHW"
```
Make sure to first follow the instructions in `resnet/README.md` to get necessary data, etc.