def __init__(self, to_port):
"""
Create a new bias
"""
# Properly initialize the Bias
AbstractConnection.__init__(self, None, to_port)
self.parameters = np.zeros((1, to_port.size))
self.dimensions = (1, to_port.size)
self.input = np.zeros((0, 0))
self.output = np.zeros((1, to_port.size))
self.gradient = np.zeros(self.dimensions)
def __init__(self, to_port):
"""
Create a new bias
"""
# Properly initialize the Bias
AbstractConnection.__init__(self, None, to_port)
self.parameters = gpu.zeros((1, to_port.size))
self.dimensions = (1, to_port.size)
self.input = gpu.zeros((0,0))
self.output = gpu.zeros((1,to_port.size))
self.gradient = gpu.zeros(self.dimensions)
def __init__(self, from_port, to_port):
"""
Create a new full connection
"""
# Properly initialize the abstract connection
AbstractConnection.__init__(self, from_port, to_port)
# Determine the dimensions and initialize the weight matrix
self.dimensions = (from_port.size, to_port.size)
self.parameters = np.zeros(self.dimensions)
self.input = np.zeros((1, from_port.size))
self.output = np.zeros((1, to_port.size))
self.delta = np.zeros((1, from_port.size))
self.gradient = np.zeros(self.dimensions)
def __init__(self, from_port, to_port):
"""
Create a new full connection
"""
# Properly initialize the abstract connection
AbstractConnection.__init__(self, from_port, to_port)
# Determine the dimensions and initialize the weight matrix
self.dimensions = (from_port.size, to_port.size)
self.parameters = gpu.zeros(self.dimensions)
self.input = gpu.zeros((1,from_port.size))
self.output = gpu.zeros((1,to_port.size))
self.delta = gpu.zeros((1,from_port.size))
self.gradient = gpu.zeros(self.dimensions)
def __init__(self, from_port, to_port):
"""
Create a new identity connection
"""
# Properly initialize the abstract connection
AbstractConnection.__init__(self, from_port, to_port)
# Determine the dimensions and initialize the weight matrix
self.dimensions = (from_port.size, to_port.size)
self.input = np.zeros((1,from_port.size))
self.output = np.zeros((1,to_port.size))
self.delta = np.zeros((1,from_port.size))
# Dummy values to allow this to follow the AbstractConnection interface
self.parameters = np.zeros((0,0))
self.gradient = np.zeros((0,0))
def __init__(self, from_port, to_port):
"""
Create a new identity connection
"""
# Properly initialize the abstract connection
AbstractConnection.__init__(self, from_port, to_port)
# Determine the dimensions and initialize the weight matrix
self.dimensions = (from_port.size, to_port.size)
self.input = gpu.zeros((1,from_port.size))
self.output = gpu.zeros((1,to_port.size))
self.delta = gpu.zeros((1,from_port.size))
# Dummy values to allow this to follow the AbstractConnection interface
self.parameters = gpu.zeros((0,0))
self.gradient = gpu.zeros((0,0))
