Traceback (most recent call last):

 "/home/juanlu/.miniconda3/envs/hyper35/lib/python3.5/site-packages/numba/typeinfer.py", line 111, in propagate
constraint(typeinfer)

 "/home/juanlu/.miniconda3/envs/hyper35/lib/python3.5/site-packages/numba/typeinfer.py", line 352, in __call__
attrty = typeinfer.context.resolve_getattr(ty, self.attr)

 "/home/juanlu/.miniconda3/envs/hyper35/lib/python3.5/site-packages/numba/typing/context.py", line 149, in resolve_getattr
attrty = self.resolve_module_constants(typ, attr)

 "/home/juanlu/.miniconda3/envs/hyper35/lib/python3.5/site-packages/numba/typing/context.py", line 195, in resolve_module_constants
ty = self.resolve_value_type(attrval)

 "/home/juanlu/.miniconda3/envs/hyper35/lib/python3.5/site-packages/numba/typing/context.py", line 214, in resolve_value_type
tp = typeof(val, Purpose.constant)

 "/home/juanlu/.miniconda3/envs/hyper35/lib/python3.5/site-packages/numba/typing/typeof.py", line 29, in typeof
return typeof_impl(val, c)

 "/home/juanlu/.miniconda3/envs/hyper35/lib/python3.5/functools.py", line 743, in wrapper
return dispatch(args[0].__class__)(*args, **kw)AttributeError: cffi library '_hyper' has no function, constant or global variable named '__class__'
Traceback (most recent call last):


 "/opt/ros/kinetic/lib/python2.7/dist-packages/rospy/topics.py", line 750, in _invoke_callback

cb(msg)


 "/home/siddhantsahu/centerpoint_p3_ws/src/centerpoint_ros_node/src/tools/multi_sweep_inference.py", line 339, in rslidar_callback

scores, dt_box_lidar, types = proc_1.run()


 "/home/siddhantsahu/centerpoint_p3_ws/src/centerpoint_ros_node/src/tools/multi_sweep_inference.py", line 192, in run

outputs = self.net(self.inputs)[0]


 "/home/siddhantsahu/miniconda3/envs/centerpoint/lib/python3.6/site-packages/torch/nn/modules/module.py", line 493, in __call__

result = self.forward(*input, **kwargs)


 "/home/siddhantsahu/Desktop/CenterPoint/det3d/models/detectors/point_pillars.py", line 48, in forward

x = self.extract_feat(data)


 "/home/siddhantsahu/Desktop/CenterPoint/det3d/models/detectors/point_pillars.py", line 26, in extract_feat

input_features, data["coors"], data["batch_size"], data["input_shape"]


 "/home/siddhantsahu/miniconda3/envs/centerpoint/lib/python3.6/site-packages/torch/nn/modules/module.py", line 493, in __call__

result = self.forward(*input, **kwargs)


 "/home/siddhantsahu/Desktop/CenterPoint/det3d/models/readers/pillar_encoder.py", line 177, in forward

self.nx = input_shape[0]
IndexError: invalid index to scalar variable.
