def __init__(self, x, y, w, h, text='x_0'):
NodeFigure.__init__(self, x, y, w, h, 0, text)
self.setForwardPrintable(True)
self.setFillColor(220, 220, 220, 255) # green
self.figures[0].setColor(pyHAttributeColor(170, 170, 170, 255))
self._paint()
def __init__(self, x, y, w, h, text='w_0'):
NodeFigure.__init__(self, x, y, w, h, 0, text)
self.setForwardPrintable(True)
self.setFillColor(189, 221, 187, 255) # green
self.figures[0].setColor(pyHAttributeColor(136, 159, 135, 255))
self._paint()
def __init__(self, x, y, w, h):
NodeFigure.__init__(self, x, y, w, h, 1, '\mathrm{\mathsf{tanh}}')
def __init__(self, x, y, w, h):
NodeFigure.__init__(self, x, y, w, h, 2, '\mathrm{\mathsf{add}}')
self.set_text(self.get_operation())
def __init__(self, x, y, w, h):
NodeFigure.__init__(self, x, y, w, h, 2, '\mathrm{\mathsf{max}}')
def __init__(self, x, y, w, h):
NodeFigure.__init__(self, x, y, w, h)
self._internal_net = {'inputs': [], 'weight': [], 'net': []}
self.createInternalNet()
self.assignNetPosition()
def __init__(self, x, y, w, h):
NodeFigure.__init__(self, x, y, w, h, 2, 'mse')
def notifyFigureChanged(self):
NodeFigure.notifyFigureChanged(self)
def invert_dot_to_calculate_partial(self):
invert = NodeFigure.invert_dot_to_calculate_partial(self)
invert[self.get_inputs_nodes()[1]] = True
return invert
def are_all_inputs_occupied(self):
inputs_occupied = NodeFigure.are_all_inputs_occupied(self)
variables_assigned = all(v is not None
for v in self._variables.values())
return inputs_occupied and variables_assigned
def getHandles(self):
h = []
if self.node is not None:
h = NodeFigure.getHandles(self)
return h + self._create_variables_handles()
def __init__(self, x, y, w, h, num_inputs, op='op', fl='f'):
# super
NodeFigure.__init__(self, x, y, w, h, num_inputs, op, fl)
self._variables = {}
def are_all_inputs_occupied(self):
inputs_occupied = NodeFigure.are_all_inputs_occupied(self)
variables_assigned = self.get_variable('neurons') is not None
return inputs_occupied and variables_assigned
def forward(self):
NodeFigure.forward(self)
w = self.get_node()