Traceback (most recent call last):


 "train_experiment.py", line 51, in <module>

model.optimize_parameters()
# calculate loss functions, get gradients, update network weights


 "/home/sit-np/ssd/cyclegan/models/cycle_gan_model.py", line 187, in optimize_parameters

self.backward_G()
# calculate gradients for G_A and G_B


 "/home/sit-np/ssd/cyclegan/models/cycle_gan_model.py", line 169, in backward_G

self.loss_G_A = self.criterionGAN(self.netD_A(self.fake_B), True)


 "/home/sit-np/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 489, in __call__

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


 "/home/sit-np/ssd/cyclegan/models/networks.py", line 577, in forward

return self.model(input)


 "/home/sit-np/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 489, in __call__

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


 "/home/sit-np/anaconda3/lib/python3.7/site-packages/torch/nn/modules/container.py", line 92, in forward

input = module(input)


 "/home/sit-np/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 489, in __call__

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


 "/home/sit-np/anaconda3/lib/python3.7/site-packages/torch/nn/modules/conv.py", line 320, in forward

self.padding, self.dilation, self.groups)
RuntimeError: std::exception

Traceback (most recent call last):


 "/h/varunl/miniconda3/envs/frankmocap/lib/python3.7/runpy.py", line 193, in _run_module_as_main

"__main__", mod_spec)


 "/h/varunl/miniconda3/envs/frankmocap/lib/python3.7/runpy.py", line 85, in _run_code

exec(code, run_globals)


 "/scratch/ssd002/home/varunl/pair/HOPE/frankmocap/demo/demo_handmocap.py", line 178, in <module>

main()


 "/scratch/ssd002/home/varunl/pair/HOPE/frankmocap/demo/demo_handmocap.py", line 174, in main

run_hand_mocap(args, bbox_detector, hand_mocap, visualizer)


 "/scratch/ssd002/home/varunl/pair/HOPE/frankmocap/demo/demo_handmocap.py", line 100, in run_hand_mocap

detect_output = bbox_detector.detect_hand_bbox(img_original_bgr.copy())


 "/scratch/ssd002/home/varunl/pair/HOPE/frankmocap/handmocap/hand_bbox_detector.py", line 335, in detect_hand_bbox

output = self.model.detect_hand_bbox(img_bgr)


 "/scratch/ssd002/home/varunl/pair/HOPE/frankmocap/handmocap/hand_bbox_detector.py", line 283, in detect_hand_bbox

bboxes, hand_types = self.__get_raw_hand_bbox(img)


 "/scratch/ssd002/home/varunl/pair/HOPE/frankmocap/handmocap/hand_bbox_detector.py", line 223, in __get_raw_hand_bbox

rois_label, loss_list = self.hand_detector(im_data, im_info, gt_boxes, num_boxes, box_info) 


 "/h/varunl/miniconda3/envs/frankmocap/lib/python3.7/site-packages/torch/nn/modules/module.py", line 722, in _call_impl

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


 "/scratch/ssd002/home/varunl/pair/HOPE/frankmocap/detectors/hand_object_detector/lib/model/faster_rcnn/faster_rcnn.py", line 57, in forward

rois, rpn_loss_cls, rpn_loss_bbox = self.RCNN_rpn(base_feat, im_info, gt_boxes, num_boxes)


 "/h/varunl/miniconda3/envs/frankmocap/lib/python3.7/site-packages/torch/nn/modules/module.py", line 722, in _call_impl

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


 "/scratch/ssd002/home/varunl/pair/HOPE/frankmocap/detectors/hand_object_detector/lib/model/rpn/rpn.py", line 78, in forward

im_info, cfg_key))


 "/h/varunl/miniconda3/envs/frankmocap/lib/python3.7/site-packages/torch/nn/modules/module.py", line 722, in _call_impl

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


 "/scratch/ssd002/home/varunl/pair/HOPE/frankmocap/detectors/hand_object_detector/lib/model/rpn/proposal_layer.py", line 147, in forward

keep_idx_i = nms(proposals_single, scores_single.squeeze(1), nms_thresh)
RuntimeError: Not compiled with GPU support
