nujo/flow.py
def _current_parameters(self) -> Tensor:
        ''' Generator for the current tensor parameters bounded to `self`
        '''

        for flow in self._chain:
            for prop_name in dir(flow):
                prop = getattr(flow, prop_name)

                if isinstance(prop, Tensor):
                    yield prop
 Generator for the current tensor parameters bounded to `self`
        
Generator for the current tensor parameters bounded to `self`
Generator for the current tensor parameters bounded to ` self `
def _current_parameters(self) -> Tensor:
        for flow in self._chain:
            for prop_name in dir(flow):
                prop = getattr(flow, prop_name)
                if isinstance(prop, Tensor):
                    yield prop
def _current_parameters ( self ) -> Tensor : for flow in self . _chain : for prop_name in dir ( flow ) : prop = getattr ( flow , prop_name ) if isinstance ( prop , Tensor ) : yield prop
Generator for the current tensor parameters bounded to `self`
Generator for the current tensor parameters bounded to ` self `
''' Generator for the current tensor parameters bounded to `self`
        '''
self