forked from mrq/DL-Art-School
deepcopy map
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@ -1,3 +1,4 @@
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import copy
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import functools
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import os
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from multiprocessing.pool import ThreadPool
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@ -14,7 +15,6 @@ def launch_trainer(opt, opt_path=''):
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trainer = Trainer()
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opt['dist'] = False
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trainer.rank = -1
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torch.cuda.set_device(rank)
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trainer.init(opt_path, opt, 'none')
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trainer.do_training()
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@ -37,7 +37,7 @@ if __name__ == '__main__':
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opt = option.parse(base_opt, is_train=True)
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all_opts = []
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for i, (mod, mod_dict) in enumerate(modifications.items()):
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nd = opt.copy()
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nd = copy.deepcopy(opt)
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nd.update(mod_dict)
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opt['gpu_ids'] = [i]
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nd['name'] = f'{nd["name"]}_{mod}'
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