@ -14,6 +14,8 @@ To train an SE-ResNet34 on ImageNet, locally distributed, 4 GPUs, one process pe
NOTE: It is recommended to use PyTorch 1.9+ w/ PyTorch native AMP and DDP instead of APEX AMP. `--amp` defaults to native AMP as of timm ver 0.4.3. `--apex-amp` will force use of APEX components if they are installed.
NOTE: For training and validation the same input size is used. Some models specify a different test input size which is only used in the validation script below.
## Validation / Inference Scripts
Validation and inference scripts are similar in usage. One outputs metrics on a validation set and the other outputs topk class ids in a csv. Specify the folder containing validation images, not the base as in training script.