Traceback (most recent call last):


 "<stdin>", line 1, in <module>


 "/Users/patrickwalls/miniconda3/lib/python3.5/site-packages/sympy/integrals/integrals.py", line 1295, in integrate

risch=risch, manual=manual)


 "/Users/patrickwalls/miniconda3/lib/python3.5/site-packages/sympy/integrals/integrals.py", line 495, in doit

function = self.func(*([function] + [xab])).factor()


 "/Users/patrickwalls/miniconda3/lib/python3.5/site-packages/sympy/core/expr.py", line 3151, in factor

return factor(self, *gens, **args)


 "/Users/patrickwalls/miniconda3/lib/python3.5/site-packages/sympy/polys/polytools.py", line 6166, in factor

return _generic_factor(f, gens, args, method='factor')


 "/Users/patrickwalls/miniconda3/lib/python3.5/site-packages/sympy/polys/polytools.py", line 5858, in _generic_factor

return _symbolic_factor(sympify(expr), opt, method)


 "/Users/patrickwalls/miniconda3/lib/python3.5/site-packages/sympy/polys/polytools.py", line 5802, in _symbolic_factor

return expr._eval_factor()


 "/Users/patrickwalls/miniconda3/lib/python3.5/site-packages/sympy/concrete/expr_with_limits.py", line 417, in _eval_factor

summand = self.func(self.function, self.limits[0:-1]).factor()


 "/Users/patrickwalls/miniconda3/lib/python3.5/site-packages/sympy/integrals/integrals.py", line 75, in __new__

obj = AddWithLimits.__new__(cls, function, *symbols, **assumptions)


 "/Users/patrickwalls/miniconda3/lib/python3.5/site-packages/sympy/concrete/expr_with_limits.py", line 368, in __new__

limits, orientation = _process_limits(*symbols)


 "/Users/patrickwalls/miniconda3/lib/python3.5/site-packages/sympy/concrete/expr_with_limits.py", line 69, in _process_limits

raise ValueError('Invalid limits given: %s' % str(symbols))
ValueError: Invalid limits given: (((x, 0, 1), (y, 0, 2)),)

Traceback (most recent call last):


 "main.py", line 125, in <module>

main()


 "main.py", line 120, in main

model = train(cfg, args)


 "main.py", line 68, in train

model = build_model(cfg, arguments, args.local_rank, args.distributed)


 "/media/jungjunkim/Dataset_SSD_500GB/graph-rcnn.pytorch-master/lib/model.py", line 304, in build_model

return SceneGraphGeneration(cfg, arguments, local_rank, distributed)


 "/media/jungjunkim/Dataset_SSD_500GB/graph-rcnn.pytorch-master/lib/model.py", line 31, in __init__

self.data_loader_train = build_data_loader(cfg, split="train", is_distributed=distributed)


 "/media/jungjunkim/Dataset_SSD_500GB/graph-rcnn.pytorch-master/lib/data/build.py", line 60, in build_data_loader

dataset = vg_hdf5(cfg, split=split, transforms=transforms, num_im=num_im)


 "/media/jungjunkim/Dataset_SSD_500GB/graph-rcnn.pytorch-master/lib/data/vg_hdf5.py", line 54, in __init__

filter_non_overlap=filter_non_overlap and split == "train",


 "/media/jungjunkim/Dataset_SSD_500GB/graph-rcnn.pytorch-master/lib/data/vg_hdf5.py", line 287, in load_graphs

im_sizes = np.stack(im_sizes, 0)


 "/home/jungjunkim/anaconda3/envs/graph-rcnn/lib/python3.6/site-packages/numpy/core/shape_base.py", line 412, in stack

raise ValueError('need at least one array to stack')
ValueError: need at least one array to stack
