Traceback (most recent call last):


 "imaged.py", line 13, in <module>

detector.loadModel()


 "/usr/local/lib/python3.7/site-packages/imageai/Detection/__init__.py", line 189, in loadModel

model = yolo_main(Input(shape=(None, None, 3)), len(self.__yolo_anchors) // 3, len(self.numbers_to_names))


 "/usr/local/lib/python3.7/site-packages/imageai/Detection/YOLOv3/models.py", line 60, in yolo_main

darknet_network = Model(input, darknet(input))


 "/usr/local/lib/python3.7/site-packages/imageai/Detection/YOLOv3/models.py", line 33, in darknet

network = NetworkConv2D_BN_Leaky(input=input, channels=32, kernel_size=(3,3))


 "/usr/local/lib/python3.7/site-packages/imageai/Detection/YOLOv3/models.py", line 18, in NetworkConv2D_BN_Leaky

network = LeakyReLU(alpha=0.1)(network)


 "/usr/local/lib/python3.7/site-packages/keras/engine/base_layer.py", line 457, in __call__

output = self.call(inputs, **kwargs)


 "/usr/local/lib/python3.7/site-packages/keras/layers/advanced_activations.py", line 46, in call

return K.relu(inputs, alpha=self.alpha)


 "/usr/local/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py", line 3116, in relu

x = tf.nn.leaky_relu(x, alpha)
AttributeError: module 'tensorflow.python.ops.nn' has no attribute 'leaky_relu'

Traceback (most recent call last):


 "/home/mplebanski/Projects/golem/golem/client.py", line 333, in start

self.start_network()


 "/home/mplebanski/Projects/golem/golem/client.py", line 391, in start_network

self._restore_locks()


 "/home/mplebanski/Projects/golem/golem/client.py", line 540, in _restore_locks

if subtask_state.subtask_status is not None and\
AttributeError: 'SubtaskState' object has no attribute 'subtask_status'
