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RuntimeError: start (1431224) + length (0) exceeds dimension size (1431244). (narrow at /opt/conda/conda-bld/pytorch_1535491974311/work/aten/src/ATen/native/TensorShape.cpp:157) frame #0: at::Type::narrow(at::Tensor const&, long, long, long) const + 0x49 (0x7fe6365a1639 in /export/home/anaconda_install/anaconda_download/installed_conda/envs/pytorch_0_4_1/lib/python3.6/site-packages/torch/lib/libcaffe2.so) frame #1: torch::autograd::VariableType::narrow(at::Tensor const&, long, long, long) const + 0x184 (0x7fe6382c3ae4 in /export/home/anaconda_install/anaconda_download/installed_conda/envs/pytorch_0_4_1/lib/python3.6/site-packages/torch/_C.cpython-36m-x86_64-linux-gnu.so) frame #2: torch::cuda::broadcast_coalesced(at::ArrayRefat::Tensor, at::ArrayRef, unsigned long) + 0xbc0 (0x7fe6386b7210 in /export/home/anaconda_install/anaconda_download/installed_conda/envs/pytorch_0_4_1/lib/python3.6/site-packages/torch/_C.cpython-36m-x86_64-linux-gnu.so) frame #3: + 0xc423cb (0x7fe6386bb3cb in /export/home/anaconda_install/anaconda_download/installed_conda/envs/pytorch_0_4_1/lib/python3.6/site-packages/torch/_C.cpython-36m-x86_64-linux-gnu.so) frame #4: + 0x38a5cb (0x7fe637e035cb in /export/home/anaconda_install/anaconda_download/installed_conda/envs/pytorch_0_4_1/lib/python3.6/site-packages/torch/_C.cpython-36m-x86_64-linux-gnu.so) frame #15: THPFunction_apply(_object*, _object*) + 0x38f (0x7fe6381e1a2f in /export/home/anaconda_install/anaconda_download/installed_conda/envs/pytorch_0_4_1/lib/python3.6/site-packages/torch/_C.cpython-36m-x86_64-linux-gnu.so) frame #46: __libc_start_main + 0xf5 (0x7fe655cf2c05 in /usr/lib64/libc.so.6) frame #47: python() [0x4009e9]
Hi, while adding the Att module in my own model, I encounter the error above. But it works well using single GPU.
Do anyone know why this happens? Thanks in advance.
The text was updated successfully, but these errors were encountered:
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RuntimeError: start (1431224) + length (0) exceeds dimension size (1431244). (narrow at /opt/conda/conda-bld/pytorch_1535491974311/work/aten/src/ATen/native/TensorShape.cpp:157)
frame #0: at::Type::narrow(at::Tensor const&, long, long, long) const + 0x49 (0x7fe6365a1639 in /export/home/anaconda_install/anaconda_download/installed_conda/envs/pytorch_0_4_1/lib/python3.6/site-packages/torch/lib/libcaffe2.so)
frame #1: torch::autograd::VariableType::narrow(at::Tensor const&, long, long, long) const + 0x184 (0x7fe6382c3ae4 in /export/home/anaconda_install/anaconda_download/installed_conda/envs/pytorch_0_4_1/lib/python3.6/site-packages/torch/_C.cpython-36m-x86_64-linux-gnu.so)
frame #2: torch::cuda::broadcast_coalesced(at::ArrayRefat::Tensor, at::ArrayRef, unsigned long) + 0xbc0 (0x7fe6386b7210 in /export/home/anaconda_install/anaconda_download/installed_conda/envs/pytorch_0_4_1/lib/python3.6/site-packages/torch/_C.cpython-36m-x86_64-linux-gnu.so)
frame #3: + 0xc423cb (0x7fe6386bb3cb in /export/home/anaconda_install/anaconda_download/installed_conda/envs/pytorch_0_4_1/lib/python3.6/site-packages/torch/_C.cpython-36m-x86_64-linux-gnu.so)
frame #4: + 0x38a5cb (0x7fe637e035cb in /export/home/anaconda_install/anaconda_download/installed_conda/envs/pytorch_0_4_1/lib/python3.6/site-packages/torch/_C.cpython-36m-x86_64-linux-gnu.so)
frame #15: THPFunction_apply(_object*, _object*) + 0x38f (0x7fe6381e1a2f in /export/home/anaconda_install/anaconda_download/installed_conda/envs/pytorch_0_4_1/lib/python3.6/site-packages/torch/_C.cpython-36m-x86_64-linux-gnu.so)
frame #46: __libc_start_main + 0xf5 (0x7fe655cf2c05 in /usr/lib64/libc.so.6)
frame #47: python() [0x4009e9]
Hi, while adding the Att module in my own model, I encounter the error above. But it works well using single GPU.
Do anyone know why this happens? Thanks in advance.
The text was updated successfully, but these errors were encountered: