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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
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