Tutorial 6: Useful tools¶
In this tutorial, we introduce some useful tools for users.
The structure of this guide are as follows:
Print full config¶
MMGeneration incorporates config mechanism to set parameters used for training and testing models. With our config mechanism, users can easily conduct extensive experiments without hard coding. If you wish to inspect the config file, you may run python tools/misc/print_config.py /PATH/TO/CONFIG to see the complete config.
An Example:
python tools/misc/print_config.py configs/styleganv2/stylegan2_c2-PL_8xb4-fp16-partial-GD-no-scaler-800kiters_ffhq-256x256.py
Prepare a model for publishing¶
Before you upload a model to AWS, you may want to
convert model weights to CPU tensors
delete the optimizer states and
compute the hash of the checkpoint file and append time and the hash id to the filename.
tools/publish_model.py helps users to prepare their model for publishing.
python tools/publish_model.py ${INPUT_FILENAME} ${OUTPUT_FILENAME}
An Example:
python tools/publish_model.py work_dirs/stylegan2/latest.pth stylegan2_c2_8xb4_ffhq-1024x1024.pth
The final output filename will be stylegan2_c2_8xb4_ffhq-1024x1024_{time}-{hash id}.pth.