RuntimeError Traceback (most recent call last)
in ()
15 labels=labels.long()
16 lossi = loss(output, labels)
—> 17 lossi.backward()
18 optimizer.step()
19 print(f"batch {c}, loss–>{lossi.item()}")
1 frames
/usr/local/lib/python3.6/dist-packages/torch/autograd/init.py in backward(tensors, grad_tensors, retain_graph, create_graph, grad_variables)
125 Variable._execution_engine.run_backward(
126 tensors, grad_tensors, retain_graph, create_graph,
–> 127 allow_unreachable=True) # allow_unreachable flag
128
129
RuntimeError: cuDNN error: CUDNN_STATUS_NOT_INITIALIZED
Exception raised from createCuDNNHandle at /pytorch/aten/src/ATen/cudnn/Handle.cpp:9 (most recent call first):
frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x42 (0x7f5b063391e2 in /usr/local/lib/python3.6/dist-packages/torch/lib/libc10.so)
frame #1: + 0x100ca68 (0x7f5b077aea68 in /usr/local/lib/python3.6/dist-packages/torch/lib/libtorch_cuda.so)
frame #2: at::native::getCudnnHandle() + 0x108d (0x7f5b077b034d in /usr/local/lib/python3.6/dist-packages/torch/lib/libtorch_cuda.so)
frame #3: + 0xeda4cc (0x7f5b0767c4cc in /usr/local/lib/python3.6/dist-packages/torch/lib/libtorch_cuda.so)
frame #4: + 0xed59ee (0x7f5b076779ee in /usr/local/lib/python3.6/dist-packages/torch/lib/libtorch_cuda.so)
frame #5: + 0xed75db (0x7f5b076795db in /usr/local/lib/python3.6/dist-packages/torch/lib/libtorch_cuda.so)
frame #6: at::native::cudnn_convolution_backward_input(c10::ArrayRef, at::Tensor const&, at::Tensor const&, c10::ArrayRef, c10::ArrayRef, c10::ArrayRef, long, bool, bool) + 0xb2 (0x7f5b07679b32 in /usr/local/lib/python3.6/dist-packages/torch/lib/libtorch_cuda.so)
frame #7: + 0xf3cd3b (0x7f5b076ded3b in /usr/local/lib/python3.6/dist-packages/torch/lib/libtorch_cuda.so)
frame #8: + 0xf6cb58 (0x7f5b0770eb58 in /usr/local/lib/python3.6/dist-packages/torch/lib/libtorch_cuda.so)
frame #9: at::cudnn_convolution_backward_input(c10::ArrayRef, at::Tensor const&, at::Tensor const&, c10::ArrayRef, c10::ArrayRef, c10::ArrayRef, long, bool, bool) + 0x1ad (0x7f5b3e58588d in /usr/local/lib/python3.6/dist-packages/torch/lib/libtorch_cpu.so)
frame #10: at::native::cudnn_convolution_backward(at::Tensor const&, at::Tensor const&, at::Tensor const&, c10::ArrayRef, c10::ArrayRef, c10::ArrayRef, long, bool, bool, std::array<bool, 2ul>) + 0x223 (0x7f5b07678203 in /usr/local/lib/python3.6/dist-packages/torch/lib/libtorch_cuda.so)
frame #11: + 0xf3ce25 (0x7f5b076dee25 in /usr/local/lib/python3.6/dist-packages/torch/lib/libtorch_cuda.so)
frame #12: + 0xf6cbb4 (0x7f5b0770ebb4 in /usr/local/lib/python3.6/dist-packages/torch/lib/libtorch_cuda.so)
frame #13: at::cudnn_convolution_backward(at::Tensor const&, at::Tensor const&, at::Tensor const&, c10::ArrayRef, c10::ArrayRef, c10::ArrayRef, long, bool, bool, std::array<bool, 2ul>) + 0x1e2 (0x7f5b3e594242 in /usr/local/lib/python3.6/dist-packages/torch/lib/libtorch_cpu.so)
frame #14: + 0x2ec9c62 (0x7f5b40257c62 in /usr/local/lib/python3.6/dist-packages/torch/lib/libtorch_cpu.so)
frame #15: + 0x2ede224 (0x7f5b4026c224 in /usr/local/lib/python3.6/dist-packages/torch/lib/libtorch_cpu.so)
frame #16: at::cudnn_convolution_backward(at::Tensor const&, at::Tensor const&, at::Tensor const&, c10::ArrayRef, c10::ArrayRef, c10::ArrayRef, long, bool, bool, std::array<bool, 2ul>) + 0x1e2 (0x7f5b3e594242 in /usr/local/lib/python3.6/dist-packages/torch/lib/libtorch_cpu.so)
frame #17: torch::autograd::generated::CudnnConvolutionBackward::apply(std::vector<at::Tensor, std::allocatorat::Tensor >&&) + 0x258 (0x7f5b400dec38 in /usr/local/lib/python3.6/dist-packages/torch/lib/libtorch_cpu.so)
frame #18: + 0x3375bb7 (0x7f5b40703bb7 in /usr/local/lib/python3.6/dist-packages/torch/lib/libtorch_cpu.so)
frame #19: torch::autograd::Engine::evaluate_function(std::shared_ptrtorch::autograd::GraphTask&, torch::autograd::Node*, torch::autograd::InputBuffer&, std::shared_ptrtorch::autograd::ReadyQueue const&) + 0x1400 (0x7f5b406ff400 in /usr/local/lib/python3.6/dist-packages/torch/lib/libtorch_cpu.so)
frame #20: torch::autograd::Engine::thread_main(std::shared_ptrtorch::autograd::GraphTask const&) + 0x451 (0x7f5b406fffa1 in /usr/local/lib/python3.6/dist-packages/torch/lib/libtorch_cpu.so)
frame #21: torch::autograd::Engine::thread_init(int, std::shared_ptrtorch::autograd::ReadyQueue const&, bool) + 0x89 (0x7f5b406f8119 in /usr/local/lib/python3.6/dist-packages/torch/lib/libtorch_cpu.so)
frame #22: torch::autograd::python::PythonEngine::thread_init(int, std::shared_ptrtorch::autograd::ReadyQueue const&, bool) + 0x4a (0x7f5b4de9834a in /usr/local/lib/python3.6/dist-packages/torch/lib/libtorch_python.so)
frame #23: + 0xbd6df (0x7f5b6af1a6df in /usr/lib/x86_64-linux-gnu/libstdc++.so.6)
frame #24: + 0x76db (0x7f5b6bffc6db in /lib/x86_64-linux-gnu/libpthread.so.0)
frame #25: clone + 0x3f (0x7f5b6c335a3f in /lib/x86_64-linux-gnu/libc.so.6)
These above is the error
output = fcn_resnet_50(images)[“out”]
labels=labels.long()
lossi = loss(output, labels)
lossi.backward()
optimizer.step()
number of classes match with number of levels
link of colab