def __init__(
self,
batch_size,
training_epoch_size=None,
no_stub_batch=False,
shuffle=None,
seed=None,
buffer_size=2,
):
self.batch_size = batch_size
self.training_epoch_size = training_epoch_size
self.no_stub_batch = no_stub_batch
self.shuffle = shuffle
if seed is not None:
self.random = np.random.RandomState(seed)
else:
self.random = np.random
self.buffer_size = buffer_size
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