| 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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