row += [([fill] * maxlen0)] * (maxlen1 - len(row))
return values
def align(values, fill=0):
dim = 0
inp = values
while isinstance(inp, list):
dim += 1
inp = inp[0]
if dim == 1:
return values
elif dim == 2:
return align2d(values, fill)
elif dim == 3:
return align3d(values, fill)
else:
raise NotImplementedError()
if __name__ == '__main__':
import argparse
import options
parser = argparse.ArgumentParser()
options.data_opts(parser)
options.train_opts(parser)
opt = parser.parse_args()
dataset = Dataset(opt)
feeder = TrainFeeder(dataset)
feeder.prepare('train')
feeder.next(4)
def make_options():
parser = argparse.ArgumentParser(description='train.py')
options.model_opts(parser)
options.evaluate_opts(parser)
options.data_opts(parser)
return parser.parse_args()
def make_options():
parser = argparse.ArgumentParser()
options.preprocess_opts(parser)
options.data_opts(parser)
return parser.parse_args()