def test_converter(self):
filename = os.path.join(self.tempdir, 'mock_binarized_mnist.hdf5')
parser = argparse.ArgumentParser()
subparsers = parser.add_subparsers()
subparser = subparsers.add_parser('binarized_mnist')
subparser.set_defaults(directory=self.tempdir, output_file=filename)
binarized_mnist.fill_subparser(subparser)
args = parser.parse_args(['binarized_mnist'])
args_dict = vars(args)
func = args_dict.pop('func')
func(**args_dict)
h5file = h5py.File(filename, mode='r')
assert_equal(h5file['features'][...],
numpy.vstack([self.train_mock, self.valid_mock,
self.test_mock]).reshape((-1, 1, 28, 28)))
assert_equal(str(h5file['features'].dtype), 'uint8')
assert_equal(tuple(dim.label for dim in h5file['features'].dims),
('batch', 'channel', 'height', 'width'))
def test_converter(self):
filename = os.path.join(self.tempdir, 'mock_binarized_mnist.hdf5')
parser = argparse.ArgumentParser()
subparsers = parser.add_subparsers()
subparser = subparsers.add_parser('binarized_mnist')
subparser.set_defaults(directory=self.tempdir, output_file=filename)
binarized_mnist.fill_subparser(subparser)
args = parser.parse_args(['binarized_mnist'])
args_dict = vars(args)
func = args_dict.pop('func')
func(**args_dict)
h5file = h5py.File(filename, mode='r')
assert_equal(
h5file['features'][...],
numpy.vstack([self.train_mock, self.valid_mock,
self.test_mock]).reshape((-1, 1, 28, 28)))
assert_equal(str(h5file['features'].dtype), 'uint8')
assert_equal(tuple(dim.label for dim in h5file['features'].dims),
('batch', 'channel', 'height', 'width'))