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import torch |
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EXP_NAME = "IAM-1000"; RESUME = True |
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IMG_HEIGHT = 32 |
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resolution = 16 |
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batch_size = 8 |
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NUM_EXAMPLES = 50 |
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TN_HIDDEN_DIM = 512 |
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TN_DROPOUT = 0.1 |
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TN_NHEADS = 8 |
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TN_DIM_FEEDFORWARD = 512 |
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TN_ENC_LAYERS = 1 |
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TN_DEC_LAYERS = 1 |
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ALPHABET = 'Only thewigsofrcvdampbkuq.A-210xT5\'MDL,RYHJ"ISPWENj&BC93VGFKz();#:!7U64Q8?+*ZX/%' |
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VOCAB_SIZE = len(ALPHABET) |
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G_LR = 0.0002 |
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D_LR = 0.0002 |
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W_LR = 0.0002 |
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OCR_LR = 0.0002 |
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EPOCHS = 100000 |
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NUM_CRITIC_GOCR_TRAIN = 2 |
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NUM_CRITIC_DOCR_TRAIN = 1 |
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NUM_CRITIC_GWL_TRAIN = 2 |
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NUM_CRITIC_DWL_TRAIN = 1 |
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NUM_FID_FREQ = 100 |
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DATASET = ['IAM'] |
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DATASET_PATHS = {'IAM':'../IAM_32.pickle'} |
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NUM_WRITERS = 1000 |
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DEVICE = torch.device("cuda" if torch.cuda.is_available() else "cpu") |
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IS_SEQ = True |
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NUM_WORDS = 3 |
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if not IS_SEQ: NUM_WORDS = NUM_EXAMPLES |
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IS_CC = False |
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IS_KLD = False |
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ADD_NOISE = False |
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ALL_CHARS = False |
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SAVE_MODEL = 5 |
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SAVE_MODEL_HISTORY = 100 |
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