【error】RuntimeError: cuda runtime error (59) : device-side assert triggered at/pytorch/torch/lib/TH
RuntimeError: cuda runtime error (59) : device-side assert triggered at /pytorch/torch/lib/THC/generic/THCTensorCopy.c:70
오류 피드백:
/pytorch/torch/lib/THC/THCTensorIndex.cu:279: void indexSelectSmallIndex(TensorInfo, TensorInfo, TensorInfo, int, int, IndexType, long) [with T = long, IndexType = unsigned int, DstDim = 2, SrcDim = 2, IdxDim = -2]: block: [0,0,0], thread: [0,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
/pytorch/torch/lib/THC/THCTensorIndex.cu:279: void indexSelectSmallIndex(TensorInfo, TensorInfo, TensorInfo, int, int, IndexType, long) [with T = long, IndexType = unsigned int, DstDim = 2, SrcDim = 2, IdxDim = -2]: block: [0,0,0], thread: [1,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
/pytorch/torch/lib/THC/THCTensorIndex.cu:279: void indexSelectSmallIndex(TensorInfo, TensorInfo, TensorInfo, int, int, IndexType, long) [with T = long, IndexType = unsigned int, DstDim = 2, SrcDim = 2, IdxDim = -2]: block: [0,0,0], thread: [7,0,0] Assertion `srcIndex < srcSelectDimSize` failed.
THCudaCheck FAIL file=/pytorch/torch/lib/THC/generic/THCTensorCopy.c line=70 error=59 : device-side assert triggered
Traceback (most recent call last):
File "/users/pytorch/paper_image_caption/sz-spatial5-chunk/model_msoft_gh.py", line 211, in forward
print(captions.index_select(1, Variable(self.num_step_id+1)).squeeze())
...
File "/use/anaconda3/lib/python3.6/site-packages/torch/_tensor_str.py", line 271, in _vector_str
fmt, scale, sz = _number_format(self)
File "/user/anaconda3/lib/python3.6/site-packages/torch/_tensor_str.py", line 79, in _number_format
tensor = torch.DoubleTensor(tensor.size()).copy_(tensor).abs_().view(tensor.nelement())
RuntimeError: cuda runtime error (59) : device-side assert triggered at /pytorch/torch/lib/THC/generic/THCTensorCopy.c:70
오류 원인:
앞의 세 줄에 굵은 위치와 오류를 보고하는 위치에서 오류가 index_select 함수의 입력이 범위를 초과했습니다.
/pytorch/torch/lib/THC/THCTensorIndex.cu:279: void
indexSelectSmallIndex
(TensorInfo, TensorInfo, TensorInfo, int, int, IndexType, long) [with T = long, IndexType = unsigned int, DstDim = 2, SrcDim = 2, IdxDim = -2]: block: [0,0,0], thread: [0,0,0]
Assertion `srcIndex < srcSelectDimSize` failed.
/pytorch/torch/lib/THC/THCTensorIndex.cu:279: void
indexSelectSmallIndex
(TensorInfo, TensorInfo, TensorInfo, int, int, IndexType, long) [with T = long, IndexType = unsigned int, DstDim = 2, SrcDim = 2, IdxDim = -2]: block: [0,0,0], thread: [1,0,0]
Assertion `srcIndex < srcSelectDimSize` failed.
/pytorch/torch/lib/THC/THCTensorIndex.cu:279: void
indexSelectSmallIndex
(TensorInfo, TensorInfo, TensorInfo, int, int, IndexType, long) [with T = long, IndexType = unsigned int, DstDim = 2, SrcDim = 2, IdxDim = -2]: block: [0,0,0], thread: [7,0,0]
Assertion `srcIndex < srcSelectDimSize` failed.
THCudaCheck FAIL file=/pytorch/torch/lib/THC/generic/THCTensorCopy.c line=70 error=59 : device-side assert triggered
Traceback (most recent call last):
File "/users/pytorch/paper_image_caption/sz-spatial5-chunk/model_msoft_gh.py", line 211, in forward
print(captions.index_select(1, Variable(self.num_step_id+1)).squeeze())
File "/users/anaconda3/lib/python3.6/site-packages/torch/autograd/variable.py", line 119, in __repr__
return 'Variable containing:' + self.data.__repr__()
File "/us/anaconda3/lib/python3.6/site-packages/torch/tensor.py", line 133, in __repr__
return str(self)
File "/user/anaconda3/lib/python3.6/site-packages/torch/tensor.py", line 140, in __str__
return _tensor_str._str(self)
File "/user/anaconda3/lib/python3.6/site-packages/torch/_tensor_str.py", line 295, in _str
strt = _vector_str(self)
File "/use/anaconda3/lib/python3.6/site-packages/torch/_tensor_str.py", line 271, in _vector_str
fmt, scale, sz = _number_format(self)
File "/user/anaconda3/lib/python3.6/site-packages/torch/_tensor_str.py", line 79, in _number_format
tensor = torch.DoubleTensor(tensor.size()).copy_(tensor).abs_().view(tensor.nelement())
RuntimeError: cuda runtime error (59) : device-side assert triggered at/pytorch/torch/lib/THC/generic/THCTensorCopy.c:70
이 내용에 흥미가 있습니까?
현재 기사가 여러분의 문제를 해결하지 못하는 경우 AI 엔진은 머신러닝 분석(스마트 모델이 방금 만들어져 부정확한 경우가 있을 수 있음)을 통해 가장 유사한 기사를 추천합니다:
다양한 언어의 JSONJSON은 Javascript 표기법을 사용하여 데이터 구조를 레이아웃하는 데이터 형식입니다. 그러나 Javascript가 코드에서 이러한 구조를 나타낼 수 있는 유일한 언어는 아닙니다. 저는 일반적으로 '객체'{}...
텍스트를 자유롭게 공유하거나 복사할 수 있습니다.하지만 이 문서의 URL은 참조 URL로 남겨 두십시오.
CC BY-SA 2.5, CC BY-SA 3.0 및 CC BY-SA 4.0에 따라 라이센스가 부여됩니다.