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# All rights reserved. | |
# This source code is licensed under the license found in the | |
# LICENSE file in the root directory of this source tree. | |
import torch | |
import os | |
pretrained_models = {''} | |
def find_model(model_name): | |
""" | |
Finds a pre-trained model, downloading it if necessary. Alternatively, loads a model from a local path. | |
""" | |
assert os.path.isfile(model_name), f'Could not find checkpoint at {model_name}' | |
checkpoint = torch.load(model_name, map_location=lambda storage, loc: storage) | |
if "ema" in checkpoint: # supports checkpoints from train.py | |
checkpoint = checkpoint["ema"] | |
return checkpoint | |