duwangzhe
commented
5 years ago I think I have fixed this bug. just modify lib/model/roi_pooling/functions/roi_pooling.py line 9-11 self.aligned_width = int(aligned_width) self.aligned_height = int(aligned_height) self.spatial_scale = float(spatial_scale) and then the bug can be eliminated
/home/zhuyuhe/.conda/envs/dwzpy/lib/python3.5/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/zhuyuhe/duwangzhe/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 332, in
roi_labels = FPN(im_data, im_info, gt_boxes, num_boxes)
File "/home/zhuyuhe/.conda/envs/dwzpy/lib/python3.5/site-packages/torch/nn/modules/module.py", line 491, in call
result = self.forward(*input, kwargs)
File "/home/zhuyuhe/duwangzhe/fpn_pytorch/lib/model/fpn/fpn.py", line 246, in forward
roi_pool_feat = self._PyramidRoI_Feat(mrcnn_feature_maps, rois, im_info)
File "/home/zhuyuhe/duwangzhe/fpn_pytorch/lib/model/fpn/fpn.py", line 160, in _PyramidRoI_Feat
feat = self.RCNN_roi_pool(feat_maps[i], rois[idx_l], scale)
File "/home/zhuyuhe/.conda/envs/dwzpy/lib/python3.5/site-packages/torch/nn/modules/module.py", line 491, in call
result = self.forward(*input, *kwargs)
File "/home/zhuyuhe/duwangzhe/fpn_pytorch/lib/model/roi_pooling/modules/roi_pool.py", line 14, in forward
return RoIPoolFunction(self.pooled_height, self.pooled_width, scale)(features, rois)
File "/home/zhuyuhe/duwangzhe/fpn_pytorch/lib/model/roi_pooling/functions/roi_pool.py", line 26, in forward
features, rois, output, ctx.argmax)
File "/home/zhuyuhe/.conda/envs/dwzpy/lib/python3.5/site-packages/torch/utils/ffi/init.py", line 197, in safe_call
result = torch._C._safe_call(args, kwargs)
TypeError: float() not supported on cdata 'void *'
Anyone can help me? Thx!