Thanks for your reply. Still the same error “RuntimeError: tensor does not have a device (device at /opt/conda/conda-bld/pytorch_1591914880026/work/c10/core/TensorImpl.h:463)
frame #0: c10::Error::Error(c10::SourceLocation, std::string const&) + 0x4e (0x7f178facab5e in /anaconda3/lib/python3.7/site-packages/torch/lib/libc10.so)
frame #1: at::Tensor::options() const + 0x1ef (0x7f17bce2675f in /anaconda3/lib/python3.7/site-packages/torch/lib/libtorch_python.so)
frame #2: at::native::empty_like(at::Tensor const&, c10::TensorOptions const&, c10::optionalc10::MemoryFormat) + 0x36 (0x7f17b7c5e556 in anaconda3/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so)
frame #3:  + 0xe912d1 (0x7f17b7f6b2d1 in /anaconda3/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so)
frame #4:  + 0xee45d3 (0x7f17b7fbe5d3 in /anaconda3/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so)
frame #5:  + 0x26c805a (0x7f17925ec05a in /anaconda3/lib/python3.7/site-packages/torch/lib/libtorch_cuda.so)
frame #6: std::tuple<at::Tensor, at::Tensor, at::Tensor> at::native::batch_norm_backward_cuda_template<float, float, int>(at::Tensor const&, at::Tensor const&, at::Tensor const&, at::Tensor const&, at::Tensor const&, at::Tensor const&, at::Tensor const&, bool, double, std::array<bool, 3ul>) + 0x17f (0x7f179260d77f in /anaconda3/lib/python3.7/site-packages/torch/lib/libtorch_cuda.so)
frame #7: at::native::batch_norm_backward_cuda(at::Tensor const&, at::Tensor const&, at::Tensor const&, at::Tensor const&, at::Tensor const&, at::Tensor const&, at::Tensor const&, bool, double, std::array<bool, 3ul>) + 0x2ce (0x7f17925eea2e in /anaconda3/lib/python3.7/site-packages/torch/lib/libtorch_cuda.so)
frame #8:  + 0xde3c3c (0x7f1790d07c3c in /anaconda3/lib/python3.7/site-packages/torch/lib/libtorch_cuda.so)
frame #9:  + 0xe21143 (0x7f17b7efb143 in /anaconda3/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so)
frame #10:  + 0x2884df4 (0x7f17b995edf4 in /anaconda3/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so)
frame #11:  + 0xe21143 (0x7f17b7efb143 in /anaconda3/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so)
frame #12:  + 0x25f0429 (0x7f17b96ca429 in anaconda3/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so)
frame #13: torch::autograd::generated::NativeBatchNormBackward::apply(std::vector<at::Tensor, std::allocatorat::Tensor >&&) + 0x338 (0x7f17b96ca9a8 in /anaconda3/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so)
frame #14:  + 0x2ae7df5 (0x7f17b9bc1df5 in /anaconda3/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so)
frame #15: torch::autograd::Engine::evaluate_function(std::shared_ptrtorch::autograd::GraphTask&, torch::autograd::Node*, torch::autograd::InputBuffer&) + 0x16f3 (0x7f17b9bbf0f3 in anaconda3/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so)
frame #16: torch::autograd::Engine::thread_main(std::shared_ptrtorch::autograd::GraphTask const&, bool) + 0x3d2 (0x7f17b9bbfed2 in/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so)
frame #17: torch::autograd::Engine::thread_init(int) + 0x39 (0x7f17b9bb8549 in anaconda3/lib/python3.7/site-packages/torch/lib/libtorch_cpu.so)
frame #18: torch::autograd::python::PythonEngine::thread_init(int) + 0x38 (0x7f17bd108638 in/anaconda3/lib/python3.7/site-packages/torch/lib/libtorch_python.so)
frame #19:  + 0xb8408 (0x7f17bf958408 in /anaconda3/lib/python3.7/site-packages/torch/lib/…/…/…/…/./libstdc++.so.6)
frame #20:  + 0x7e65 (0x7f17e71c6e65 in /lib64/libpthread.so.0)
frame #21: clone + 0x6d (0x7f17e6eef88d in /lib64/libc.so.6)”
my code is a little bit long.