def create(layer: Layer, instruction: Instruction):
device = instruction.details[0]
name = instruction.details[1]
if device == "hub":
ports_number = int(instruction.details[2])
if ports_number < 1:
print("\nWRONG PORTS NUMBER.")
raise Exception
elif device == "host":
if len(instruction.details) > 2:
print("\nWRONG CREATE HOST INSTRUCTION FORMAT.")
raise Exception
ports_number = 1
else:
print("\nUNRECOGNIZED DEVICE TYPE.")
raise Exception
layer.create(device, name, ports_number)
write(
instruction.time, "create, device={}, name={}{}\n".format(
device, name, ", ports_number={}".format(ports_number)
if device == ("hub" or "switch") else ""))
file = open("output/devices.bin", 'a')
file.write("device={}, name={}, ports_number={}\n".format(
device, name, ports_number))
file.close()
def build_network(self, layer_settings=[], activation=Method.Sigmoid):
self.layers = []
# 每颗神经元的Activation Function都可以自订，这边范例皆使用Sigmoid
activations = []
for setting in layer_settings:
nets_activation = []
for index in range(0, setting):
nets_activation.append(activation)
activations.append(nets_activation)
# 取出每一个 Layer 要有几颗神经元（Net）的设定
for layer_index in range(0, len(layer_settings)):
new_layer = Layer.create(activations[layer_index])
self.layers.append(new_layer)
# 设定将隐藏层(Hidden Layers)， 以及输出层(Output Layer)互相连结在一起
layer_count = len(self.layers)
for from_layer_index in range(0, layer_count - 1):
from_layer = self.layers[from_layer_index]
to_layer = self.layers[from_layer_index + 1]
# 从哪一层到哪一层，最小权重随机范围，最大权重随机范围
from_layer.link_layer(to_layer, self.random_min, self.random_max)
