-------------------------------------------------------------------------------- dataset_root: all_data opt.select_data: ['4digit_train'] opt.batch_ratio: ['1'] -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- dataset_root: all_data opt.select_data: ['4digit_train'] opt.batch_ratio: ['1'] -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- dataset_root: all_data opt.select_data: ['4digit_train'] opt.batch_ratio: ['1'] -------------------------------------------------------------------------------- dataset_root: all_data dataset: 4digit_train sub-directory: /4digit_train num samples: 1000 num total samples of 4digit_train: 1000 x 1.0 (total_data_usage_ratio) = 1000 num samples of 4digit_train per batch: 32 x 1.0 (batch_ratio) = 32 -------------------------------------------------------------------------------- Total_batch_size: 32 = 32 -------------------------------------------------------------------------------- dataset_root: all_data/4digit_valid dataset: / sub-directory: /. num samples: 200 -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- dataset_root: all_data opt.select_data: ['4digit_train'] opt.batch_ratio: ['1'] -------------------------------------------------------------------------------- dataset_root: all_data dataset: 4digit_train sub-directory: /4digit_train num samples: 1000 num total samples of 4digit_train: 1000 x 1.0 (total_data_usage_ratio) = 1000 num samples of 4digit_train per batch: 32 x 1.0 (batch_ratio) = 32 -------------------------------------------------------------------------------- Total_batch_size: 32 = 32 -------------------------------------------------------------------------------- dataset_root: all_data/4digit_valid dataset: / sub-directory: /. num samples: 200 -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- dataset_root: all_data opt.select_data: ['4digit_train'] opt.batch_ratio: ['1'] -------------------------------------------------------------------------------- dataset_root: all_data dataset: 4digit_train sub-directory: /4digit_train num samples: 1000 num total samples of 4digit_train: 1000 x 1.0 (total_data_usage_ratio) = 1000 num samples of 4digit_train per batch: 32 x 1.0 (batch_ratio) = 32 -------------------------------------------------------------------------------- Total_batch_size: 32 = 32 -------------------------------------------------------------------------------- dataset_root: all_data/4digit_valid dataset: / sub-directory: /. num samples: 200 -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- dataset_root: all_data opt.select_data: ['4digit_train'] opt.batch_ratio: ['1'] -------------------------------------------------------------------------------- dataset_root: all_data dataset: 4digit_train sub-directory: /4digit_train num samples: 1000 num total samples of 4digit_train: 1000 x 1.0 (total_data_usage_ratio) = 1000 num samples of 4digit_train per batch: 32 x 1.0 (batch_ratio) = 32 -------------------------------------------------------------------------------- Total_batch_size: 32 = 32 -------------------------------------------------------------------------------- dataset_root: all_data/4digit_valid dataset: / sub-directory: /. num samples: 200 -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- dataset_root: all_data opt.select_data: ['4digit_train'] opt.batch_ratio: ['1'] -------------------------------------------------------------------------------- dataset_root: all_data dataset: 4digit_train sub-directory: /4digit_train num samples: 1000 num total samples of 4digit_train: 1000 x 1.0 (total_data_usage_ratio) = 1000 num samples of 4digit_train per batch: 32 x 1.0 (batch_ratio) = 32 -------------------------------------------------------------------------------- Total_batch_size: 32 = 32 -------------------------------------------------------------------------------- dataset_root: all_data/4digit_valid dataset: / sub-directory: /. num samples: 200 -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- dataset_root: all_data opt.select_data: ['4digit_train'] opt.batch_ratio: ['1'] -------------------------------------------------------------------------------- dataset_root: all_data dataset: 4digit_train sub-directory: /4digit_train num samples: 1000 num total samples of 4digit_train: 1000 x 1.0 (total_data_usage_ratio) = 1000 num samples of 4digit_train per batch: 32 x 1.0 (batch_ratio) = 32 -------------------------------------------------------------------------------- Total_batch_size: 32 = 32 -------------------------------------------------------------------------------- dataset_root: all_data/4digit_valid dataset: / sub-directory: /. num samples: 200 -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- dataset_root: all_data opt.select_data: ['4digit_train'] opt.batch_ratio: ['1'] -------------------------------------------------------------------------------- dataset_root: all_data dataset: 4digit_train sub-directory: /4digit_train num samples: 1000 num total samples of 4digit_train: 1000 x 1.0 (total_data_usage_ratio) = 1000 num samples of 4digit_train per batch: 32 x 1.0 (batch_ratio) = 32 -------------------------------------------------------------------------------- Total_batch_size: 32 = 32 -------------------------------------------------------------------------------- dataset_root: all_data/4digit_valid dataset: / sub-directory: /. num samples: 200 -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- dataset_root: all_data opt.select_data: ['4digit_train'] opt.batch_ratio: ['1'] -------------------------------------------------------------------------------- dataset_root: all_data dataset: 4digit_train sub-directory: /4digit_train num samples: 1000 num total samples of 4digit_train: 1000 x 1.0 (total_data_usage_ratio) = 1000 num samples of 4digit_train per batch: 32 x 1.0 (batch_ratio) = 32 -------------------------------------------------------------------------------- Total_batch_size: 32 = 32 -------------------------------------------------------------------------------- dataset_root: all_data/4digit_valid dataset: / sub-directory: /. num samples: 200 --------------------------------------------------------------------------------