I am trying to run the GNN example for ogbl-ddi link prediction, however I keep running into this error (after reinstalling the conda environment multiple times). I am not sure it's a problems of torch_sparse, however any idea on what mi...
cudaErrorJitCompilerNotFound = 221 This indicates that the PTX JIT compiler library was not found. The JIT Compiler library is used for PTX compilation. The runtime may fall back to compiling PTX if an application does not contain a suitable binary for the current device. cudaErrorUnsupported...
都可以通过参数--compiler来指定编译方式,可供选择的就是上面提到的三种:jit、setup和cmake。 比较运行时间 python3 time.py --compiler jit python3 time.py --compiler setup python3 time.py --compiler cmake 训练模型 python3 train.py --compiler jit python3 train.py --compiler setup python3 train....
RuntimeError: CUDA error: a PTX JIT compilation failed (launch_kernel at /opt/conda/conda-bld/pytorch_1565272269120/work/aten/src/ATen/native/cuda/Loops.cuh:102) frame #0: c10::Error::Error(c10::SourceLocation, std::string const&) + 0x47 (0x7f889750ae37 in /home/dengweijian/.conda/...
112] mounting /usr/lib/x86_64-linux-gnu/libnvidia-ptxjitcompiler.so.460.80 at /var/lib/docker/overlay2/dd8d1c44a88df34c3257d7d6cc323c206a57a70abb108ebc389456002466b76b/merged/usr/lib/x86_64-linux-gnu/libnvidia-ptxjitcompiler.so.460.80 I0629 12:10:31.042221 930305 nvc_mount.c:112] ...
On all platforms, the default host compiler executable (gcc and g++ on Linux and cl.exe on Windows) found in the current execution search path will be used, unless specified otherwise with appropriate options (see file-and-path-specifications). Note, nvcc does not support the compilation of ...
New library offers JIT LTO support In CUDA Toolkit 12.0, you will find a new library, nvJitLink, with APIs to support JIT LTO during runtime linking. The usage of nvJitLink library is similar to that of any of the other familiar libraries such as nvrtc and nvptxcompiler. Add the link...
The CUDA SDK now ships with libcu++filt, a static library that converts compiler-mangled C++ symbols into user-readable names. The following API, found in thenv_decode.hheader file, is the entry point to the library: char* __cu_demangle(const char* id, char *output_buffer, size_t *...
(device: 0, name: GeForce GTX 1650 Ti, pci bus id: 0000:01:00.0, compute capability: 7.5) 2021-09-18 02:00:50.081468: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set WARNING:tensorflow:From train_mspeech.py:41: The name...
Found possible Python library paths: /usr/local/lib/python3.5/dist-packages /usr/lib/python3/dist-packages Please input the desired Python library path to use. Default is [/usr/local/lib/python3.5/dist-packages] Do you wish to build TensorFlow with XLA JIT support? [Y/n]: ...