Traceback (most recent call last):


 "/usr/lib/python2.7/SocketServer.py", line 290, in _handle_request_noblock

self.process_request(request, client_address)


 "/usr/lib/python2.7/SocketServer.py", line 318, in process_request

self.finish_request(request, client_address)


 "/usr/lib/python2.7/SocketServer.py", line 331, in finish_request

self.RequestHandlerClass(request, client_address, self)


 "/usr/lib/python2.7/SocketServer.py", line 652, in __init__

self.handle()


 "/opt/py-kms/py2-kms/server.py", line 158, in handle

res = str(handler.populate())


 "/opt/py-kms/py2-kms/rpcBase.py", line 42, in populate

return self.generateResponse(self.parseRequest())


 "/opt/py-kms/py2-kms/rpcRequest.py", line 21, in generateResponse

responseData = kmsBase.generateKmsResponseData(request['pduData'], self.config)


 "/opt/py-kms/py2-kms/kmsBase.py", line 329, in generateKmsResponseData

return messagehandler.executeRequestLogic()


 "/opt/py-kms/py2-kms/kmsRequestV5.py", line 71, in executeRequestLogic

responseBuffer = self.serverLogic(decrypted['request'])


 "/opt/py-kms/py2-kms/kmsBase.py", line 177, in serverLogic

count = int(kmsitem['NCountPolicy'])
ValueError: invalid literal for int() with base 10: ''

Traceback (most recent call last):


 "drive.py", line 61, in <module>

model = aitorNet.getModel(weights_path=args.weights)


 "/home/mona/computer_vision/VPilot/model.py", line 106, in getModel

model.load_weights(weights_path)


 "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 2701, in load_weights

self.load_weights_from_hdf5_group(f)


 "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 2787, in load_weights_from_hdf5_group

K.batch_set_value(weight_value_tuples)


 "/usr/local/lib/python2.7/dist-packages/keras/backend/tensorflow_backend.py", line 1544, in batch_set_value

assign_op = x.assign(assign_placeholder)


 "/home/mona/tensorflow/_python_build/tensorflow/python/ops/variables.py", line 505, in assign

return state_ops.assign(self._variable, value, use_locking=use_locking)


 "/home/mona/tensorflow/_python_build/tensorflow/python/ops/gen_state_ops.py", line 45, in assign

use_locking=use_locking, name=name)


 "/home/mona/tensorflow/_python_build/tensorflow/python/framework/op_def_library.py", line 749, in apply_op

op_def=op_def)


 "/home/mona/tensorflow/_python_build/tensorflow/python/framework/ops.py", line 2390, in create_op

set_shapes_for_outputs(ret)


 "/home/mona/tensorflow/_python_build/tensorflow/python/framework/ops.py", line 1785, in set_shapes_for_outputs

shapes = shape_func(op)


 "/home/mona/tensorflow/_python_build/tensorflow/python/framework/common_shapes.py", line 596, in call_cpp_shape_fn

raise ValueError(err.message)
ValueError: Dimension 1 in both shapes must be equal, but are 3 and 2
