RuntimeError: reciprocal is not implemented for type torch.cuda.LongTensor

[liveway6]

Hi, Im a new hand, when I use python3 to run your code and jwyang/fpn.pytorch meeting the same problem, as follow:
Preparing training data...
done
before filtering, there are 10022 images...
after filtering, there are 10022 images...
10022 roidb entries
Loading pretrained weights from data/pretrained_model/resnet101_caffe.pth
/home/wangshaoju/.conda/envs/ycy/lib/python3.6/site-packages/torch/nn/functional.py:1749: UserWarning: Default upsampling behavior when mode=bilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
"See the documentation of nn.Upsample for details.".format(mode))
/home/wangshaoju/jwyang/FPN_Pytorch/lib/model/rpn/rpn_fpn.py:79: UserWarning: Implicit dimension choice for softmax has been deprecated. Change the call to include dim=X as an argument.
rpn_cls_prob_reshape = F.softmax(rpn_cls_score_reshape)
Traceback (most recent call last):
File "trainval_net.py", line 366, in
roi_labels = FPN(im_data, im_info, gt_boxes, num_boxes)
File "/home/wangshaoju/.conda/envs/ycy/lib/python3.6/site-packages/torch/nn/modules/module.py", line 491, in call
result = self.forward(*input, **kwargs)
File "/home/wangshaoju/jwyang/FPN_Pytorch/lib/model/fpn/fpn.py", line 191, in forward
rois, rpn_loss_cls, rpn_loss_bbox = self.RCNN_rpn(rpn_feature_maps, im_info, gt_boxes, num_boxes)
File "/home/wangshaoju/.conda/envs/ycy/lib/python3.6/site-packages/torch/nn/modules/module.py", line 491, in call
result = self.forward(*input, **kwargs)
File "/home/wangshaoju/jwyang/FPN_Pytorch/lib/model/rpn/rpn_fpn.py", line 109, in forward
rpn_data = self.RPN_anchor_target((rpn_cls_score_alls.data, gt_boxes, im_info, num_boxes, rpn_shapes))
File "/home/wangshaoju/.conda/envs/ycy/lib/python3.6/site-packages/torch/nn/modules/module.py", line 491, in call
result = self.forward(*input, **kwargs)
File "/home/wangshaoju/jwyang/FPN_Pytorch/lib/model/rpn/anchor_target_layer_fpn.py", line 141, in forward
positive_weights = 1.0 / num_examples
File "/home/wangshaoju/.conda/envs/ycy/lib/python3.6/site-packages/torch/tensor.py", line 320, in rdiv
return self.reciprocal() * other
RuntimeError: reciprocal is not implemented for type torch.cuda.LongTensor

This virtual environment can run the jwyang/faster-rcnn.pytorch. I have no idea, can you help me?
Thanks very much!

[szrlee]

this code might be based on pytorch 0.3.0

[jacco09]

I met the same problem.Have you solved it?could you show your solution?thanks