C10_UNUSEDconstcudaError_t __err = EXPR; \ c10::cuda::c10_cuda_check_implementation( \ The code claims that the error will be obtained inc10_cuda_check_implementation, but that's not always true: many errors are non-sticky, meaning that aftercudaGetLastErrorthe error state is reset. In...
Tensors and Dynamic neural networks in Python with strong GPU acceleration - pytorch/c10/cuda/CUDACachingAllocator.cpp at v2.1.0 · pytorch/pytorch
learning (artificial intelligenceparallel architecturespattern recognitionCPUCUBLAS libraryCUDA GPUDBNNVIDIA Tesla K40cA deep belief network (DBN) is an important... L Teng,D Yong,J Jiang,... - International Joint Conference on Neural Networks 被引量: 5发表: 2015年 Predicting GPU Performance from ...
frame#2: c10::cuda::c10_cuda_check_implementation(std::string const&, std::string const&, int, bool) + 0xb4 (0x7f8983bd0c64 in /opt/conda/envs/python3.8.13/lib/python3.8/site-packages/torch/lib/libc10_cuda.so) frame#3: + 0x1e0dc (0x7f8983ba80dc in /opt/conda/envs/python...
Tensors and Dynamic neural networks in Python with strong GPU acceleration - pytorch/c10/cuda/CUDAFunctions.cpp at fd553b9817cb145e3cfaa52a08a831b9edf2fec7 · pytorch/pytorch
TORCH_CHECK( type, "The implementation of class ", type_string, " cannot be found."); } else if ( c10::string_view_starts_with(type_str, kTorchPrefix) || c10::string_view_starts_with(type_str, kJitPrefix)) { c10::starts_with(type_str, kTorchPrefix) || ...
Tensors and Dynamic neural networks in Python with strong GPU acceleration - c10::string_view -> std::string_view in aten (#141903) · pytorch/pytorch@b1bb860
CUDAException.h CUDAFunctions.cpp CUDAFunctions.h CUDAGuard.h CUDAMacros.h CUDAMathCompat.h CUDAStream.cpp CUDAStream.h README.md hip macros mobile test util CMakeLists.txt caffe2 cmake docker docs ios modules scripts submodules test
The primary bottleneck is sorting millions of gaussians, which is done efficiently in the original implementation using CUB device radix sort, a highly optimized sort only available in CUDA. However, with enough effort, it's certainly possible to achieve this level of performance in other ...