def _allocate(self):
self.order = check_valid_permutation(self.order)
if self.input_dim != len(self.order):
raise ValueError("input_dim does not match length of order "
"vector")
# No roles assigned here, since these are not learnable parameters.
if self._dot:
shape = (self.order.shape[0], self.order.shape[0])
self._matrix = shared_floatx(
PermutationMatrix(self.order).generate(None, shape))
else:
order = self.order.astype('int32')
assert order.min() == 0 # Catch highly unlikely downcast issue.
self._permutation = shared(order)
def __init__(self, permutation=None):
if permutation is not None:
permutation = check_valid_permutation(permutation)
self.permutation = permutation
