我们从Python开源项目中,提取了以下1个代码示例,用于说明如何使用__builtin__.False()。
def get_data(problem, n_train, n_batch): if problem == 'cifar10': # Load data data_train, data_valid = G.misc.data.cifar10(False) if problem == 'svhn': # Load data data_train, data_valid = G.misc.data.svhn(False, True) elif problem == 'mnist': # Load data validset = False if validset: data_train, data_valid, data_test = G.misc.data.mnist_binarized(validset, False) else: data_train, data_valid = G.misc.data.mnist_binarized(validset, False) data_train['x'] = data_train['x'].reshape((-1,1,28,28)) data_valid['x'] = data_valid['x'].reshape((-1,1,28,28)) elif problem == 'lfw': data_train = G.misc.data.lfw(False,True) data_valid = G.ndict.getRows(data_train, 0, 1000) data_init = {'x':data_train['x'][:n_batch]} if n_train > 0: data_train = G.ndict.getRows(data_train, 0, n_train) data_valid = G.ndict.getRows(data_valid, 0, n_train) return data_train, data_valid, data_init