DL-Art-School/codes/scripts/byol_extract_wrapped_model.py
2020-12-18 09:24:31 -07:00

20 lines
663 B
Python

import torch
from models.spinenet_arch import SpineNet
if __name__ == '__main__':
pretrained_path = '../../experiments/train_sbyol_512unsupervised_restart/models/48000_generator.pth'
output_path = '../../experiments/spinenet49_imgset_sbyol.pth'
wrap_key = 'online_encoder.net.'
sd = torch.load(pretrained_path)
sdo = {}
for k,v in sd.items():
if wrap_key in k:
sdo[k.replace(wrap_key, '')] = v
model = SpineNet('49', in_channels=3, use_input_norm=True).to('cuda')
model.load_state_dict(sdo, strict=True)
print("Validation succeeded, dumping state dict to output path.")
torch.save(sdo, output_path)