def TestSequence(self, testing_data, step_list):
step_array_size = len(step_list)
step_array = np.array(step_list)
step_array = np.reshape(step_array, step_array.size)
step_array = np.ascontiguousarray(step_array, dtype=np.int32)
cTestSequence(ctypes.byref(self), ctypes.byref(testing_data), step_array, step_array_size)
return ctypes2numpy(self.network_output, self.test_size)
def TestSequence(self, testing_data, step_list):
step_array_size = len(step_list)
step_array = np.array(step_list)
step_array = np.reshape(step_array, step_array.size)
step_array = np.ascontiguousarray(step_array, dtype=np.int32)
cTestSequence(ctypes.byref(self), ctypes.byref(testing_data),
step_array, step_array_size)
return ctypes2numpy(self.network_output, self.test_size)
def Unload(self, filename):
network_memory = ctypes2numpy(self.memories, self.number_of_neurons * self.memory_size * (self.memory_bit_group_size + 1) )
network_metadata = {
'network_layer_width': self.network_layer_width,
'network_layer_height': self.network_layer_height,
'number_of_neurons': self.number_of_neurons,
'number_of_synapses_per_neuron': self.number_of_synapses_per_neuron,
'input_size': self.input_size,
'memory_bit_group_size': self.memory_bit_group_size,
'memory_size': self.memory_size,
'memory': network_memory
}
network_file = open(filename, 'wb')
pickle.dump(network_metadata, network_file)
network_file.close()
def Unload(self, filename):
network_memory = ctypes2numpy(
self.memories,
self.number_of_neurons * self.memory_size *
(self.memory_bit_group_size + 1))
network_metadata = {
'network_layer_width': self.network_layer_width,
'network_layer_height': self.network_layer_height,
'number_of_neurons': self.number_of_neurons,
'number_of_synapses_per_neuron':
self.number_of_synapses_per_neuron,
'input_size': self.input_size,
'memory_bit_group_size': self.memory_bit_group_size,
'memory_size': self.memory_size,
'memory': network_memory
}
network_file = open(filename, 'wb')
pickle.dump(network_metadata, network_file)
network_file.close()
def Test(self, input_image, input_class, sample):
inputDataTemp = np.ascontiguousarray(input_image, dtype=np.int32)
cTest(ctypes.byref(self), inputDataTemp, input_class, sample)
return ctypes2numpy(self.network_output,
self.number_of_neurons * self.test_size)
def Test(self, testing_data):
cTest(ctypes.byref(self), ctypes.byref(testing_data))
return ctypes2numpy(self.network_output, self.number_of_neurons * self.test_size)