Hi, every. I try to train ABCnet on Vietnamese datasets. But I found the error:
File "tools/train_net.py", line 221, in
args=(args,),
File "/home/tiennv/anaconda3_v2/lib/python3.7/site-packages/detectron2/engine/launch.py", line 82, in launch
main_func(args)
File "tools/train_net.py", line 209, in main
/pytorch/aten/src/THCUNN/ClassNLLCriterion.cu:108: cunn_ClassNLLCriterion_updateOutput_kernel: block: [0,0,0], thread: [14,0,0] Assertion t >= 0 && t < n_classes failed.
/pytorch/aten/src/THCUNN/ClassNLLCriterion.cu:108: cunn_ClassNLLCriterion_updateOutput_kernel: block: [0,0,0], thread: [16,0,0] Assertion t >= 0 && t < n_classes failed.
return trainer.train()
File "tools/train_net.py", line 90, in train
self.train_loop(self.start_iter, self.max_iter)
File "tools/train_net.py", line 79, in train_loop
self.run_step()
File "/home/tiennv/anaconda3_v2/lib/python3.7/site-packages/detectron2/engine/defaults.py", line 495, in run_step
self._trainer.run_step()
File "/home/tiennv/anaconda3_v2/lib/python3.7/site-packages/detectron2/engine/train_loop.py", line 273, in run_step
loss_dict = self.model(data)
File "/home/tiennv/anaconda3_v2/lib/python3.7/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
result = self.forward(input, kwargs)
File "/mlcv/WorkingSpace/SceneText/tripx/AdelaiDet/adet/modeling/one_stagedetector.py", line 123, in forward
, detector_losses = self.roi_heads(images, features, proposals, gt_instances)
File "/home/tiennv/anaconda3_v2/lib/python3.7/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
result = self.forward(*input, *kwargs)
File "/mlcv/WorkingSpace/SceneText/tripx/AdelaiDet/adet/modeling/roi_heads/text_head.py", line 163, in forward
preds, rec_loss = self.recognizer(bezier_features, targets)
File "/home/tiennv/anaconda3_v2/lib/python3.7/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
result = self.forward(input, kwargs)
File "/mlcv/WorkingSpace/SceneText/tripx/AdelaiDet/adet/modeling/roi_heads/attn_predictor.py", line 130, in forward
decoder_input, decoder_hidden, rois)
File "/home/tiennv/anaconda3_v2/lib/python3.7/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
result = self.forward(*input, *kwargs)
File "/mlcv/WorkingSpace/SceneText/tripx/AdelaiDet/adet/modeling/roi_heads/attn_predictor.py", line 79, in forward
attn_weights = self.vat(torch.tanh(alpha)) # (T n, 1)
RuntimeError: CUDA error: device-side assert triggered
And the size of the VietNamese dictionary is 230. So I changed _C.MODEL.BATEXT.VOC_SIZE = 230. But haven't solved this problem.
Can you help me to solve this?
Hi, every. I try to train ABCnet on Vietnamese datasets. But I found the error:
And the size of the VietNamese dictionary is 230. So I changed
_C.MODEL.BATEXT.VOC_SIZE = 230
. But haven't solved this problem. Can you help me to solve this?