def initialize_graph(self, num_input, num_hidden, num_output,density):
"""
Initializes the open brain graph.
:param num_input:
:param num_hidden:
:param num_output:
:param density:
:return:
"""
self.num_neurons = num_input + num_output + num_hidden
self.C = np.zeros((self.num_neurons, self.num_neurons))
adjacency_list = self.define_toplogy(num_input, num_hidden, num_output, density)
for i, adjacent in enumerate(adjacency_list):
for node in adjacent:
self.C[i, node] = np.random.rand(1)*0.9
self.C = gpu.garray(self.C)
def get_random_input(b):
return gpu.garray(np.array([np.random.rand(1) * 2 - 1.0 if i in b.input_neurons else 0.0 for i in range(b.num_neurons)],
dtype=np.float32))
