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16 lines
1.3 KiB
Plaintext
16 lines
1.3 KiB
Plaintext
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<00><A`P <00> @ s: d dl Z d dlZd dlmZ dd<04> Zd
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dd<07>Zdd <09> ZdS ) <0B> N)<01>
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save_imagec C s<> t t|<01><01>\}}|<04>tj<04>|<05>tj<04> }}| <00><05> t<06><07> <00>t | |<04>}|d d }t||d|<02> d<03> <00> t|d d |d|<02> d<03> <00> |dkr<>t|d d |d|<02> d<03> <00> W 5 Q R X | <00> <09> d S )Ng <00>?z/y_gen_z.pngz/input_<74> z/label_)
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<EFBFBD>next<78>iter<65>to<74>config<69>DEVICE<43>eval<61>torch<63>no_gradr <00>train)<07>gen<65>
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val_loader<EFBFBD>epoch<63>folder<65>x<>y<>y_fake<6B> r <00>?F:\Machine-Learning-Collection\ML\Pytorch\GANs\Pix2Pix\utils.py<70>save_some_examples s
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(r <00>my_checkpoint.pth.tarc C s* t d<01> | <00><01> |<01><01> d<02>}t<02>||<02> d S )Nz=> Saving checkpoint)<02>
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state_dict<EFBFBD> optimizer)<04>printr r
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<00>save)<04>modelr <00>filename<6D>
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checkpointr r r <00>save_checkpoint s
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<06>r c C sL t d<01> tj| tjd<02>}|<01>|d <00> |<02>|d <00> |jD ] }||d< q:d S )Nz=> Loading checkpoint)<01> map_locationr r <00>lr)r r
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<00>loadr r <00>load_state_dict<63> param_groups)Zcheckpoint_filer r r! r <00> param_groupr r r <00>load_checkpoint s
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r& )r )r
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r <00>torchvision.utilsr r r r& r r r r <00><module> s
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