

def __init__(self, filters, irows, icols=None, subsample=(1, 1), padding_start=None, filters_shape=None, message=''):
    LinearTransform.__init__(self, [filters])
    self._filters = filters
    if (filters_shape is None):
        self._filters_shape = tuple(filters.get_value(borrow=True).shape)
    else:
        self._filters_shape = tuple(filters_shape)
    self._irows = irows
    if (icols is None):
        self._icols = irows
    else:
        self._icols = icols
    if (self._icols != self._irows):
        raise NotImplementedError('GPU code at least needs square imgs')
    self._subsample = tuple(subsample)
    self._padding_start = padding_start
    if (len(self._filters_shape) != 7):
        raise TypeError('need 7-tuple filter shape', self._filters_shape)
    if (self._subsample[0] != self._subsample[1]):
        raise ValueError('subsampling must be same in rows and cols')
    self._filter_acts = FilterActs(self._subsample[0])
    self._img_acts = ImgActs(module_stride=self._subsample[0])
    if message:
        self._message = message
    else:
        self._message = filters.name

dataset/ETHPy150Open lisa-lab/pylearn2/pylearn2/packaged_dependencies/theano_linear/unshared_conv/localdot.py LocalDot.__init__/original