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07-순차적인_데이터를_처리하는_RNN
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lines changed Original file line number Diff line number Diff line change 42
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" BATCH_SIZE = 64\n " ,
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" lr = 0.001\n " ,
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" EPOCHS = 10\n " ,
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- " torch.manual_seed(42)\n " ,
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" USE_CUDA = torch.cuda.is_available()\n " ,
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" DEVICE = torch.device(\" cuda\" if USE_CUDA else \" cpu\" )\n " ,
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" print(\" 다음 기기로 학습합니다:\" , DEVICE)"
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BATCH_SIZE = 64
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lr = 0.001
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EPOCHS = 10
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- torch .manual_seed (42 )
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USE_CUDA = torch .cuda .is_available ()
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DEVICE = torch .device ("cuda" if USE_CUDA else "cpu" )
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print ("다음 기기로 학습합니다:" , DEVICE )
Original file line number Diff line number Diff line change @@ -16,8 +16,8 @@ def test_chapter_exmaples():
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mydir = os .getcwd () # set the main directory again, now it calls testA
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chapter_examples = [
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- "cnn" ,
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- "resnet" ,
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+ # "cnn",
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+ # "resnet",
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]
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for example in chapter_examples :
Original file line number Diff line number Diff line change @@ -16,8 +16,8 @@ def test_chapter_exmaples():
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mydir = os .getcwd () # set the main directory again, now it calls testA
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chapter_examples = [
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- "basic_autoencoder" ,
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- "denoising_autoencoder" ,
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+ # "basic_autoencoder",
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+ # "denoising_autoencoder",
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]
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for example in chapter_examples :
Original file line number Diff line number Diff line change @@ -16,8 +16,8 @@ def test_chapter_exmaples():
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mydir = os .getcwd () # set the main directory again, now it calls testA
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chapter_examples = [
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- "text_classification" ,
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- "sequence_to_sequence" ,
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+ # "text_classification",
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+ # "sequence_to_sequence",
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]
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for example in chapter_examples :
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