c10::cuda 命名空间包含了与CUDA设备相关的实现和优化。 CUDAAllocator:CUDA设备内存分配器。 CUDATensorImpl:特化的CUDA设备张量实现。 CUDAStream:管理CUDA流的类。 c10::cuda::impl c10::cuda::impl 命名空间包含的是CUDA模块的内部实现,不应暴露给第三方。 impl::CUDAContext:内部的CUDA上下文管理。 impl::CUDA...
Tensors and Dynamic neural networks in Python with strong GPU acceleration - pytorch/c10/cuda/CUDACachingAllocator.cpp at v2.0.0 · pytorch/pytorch
auto stream = at::cuda::getCurrentCUDAStream(); @@ -192,7 +192,7 @@ __global__ void weighted_respond_kernel(int64_t *out, const int64_t *proposal, void respond(torch::Tensor out, torch::Tensor proposal, torch::Tensor rowptr, torch::Tensor col, torch::optional<torch::Tensor> opti...
C++ & cuda LNK2019: unresolved external symbol and LNK1120: 2 unresolved externals_ C++ 2005, How can I run (start) an external exe file from my program? C++ Active Directory Lookup C++ compiler in Visual Studio 2008 c++ convert a cstring to an integer C++ converting hex value to int C++...
03 CUDA Version 11.4 PyTorch Version: 1.12.1+cu113 NCCL: (2, 10, 3) terminatecalled after throwing an instance of 'c10::CUDA' what(): CUDA error: initializationerror raised from getDeviceat ../c10/cuda/implCUDAGuardImpl.h:39 (most recent call first): frame #0: c10::Error:...
#include <c10/util/hash.h> @@ -283,7 +282,7 @@ size_t getPadding( bool PyTorchStreamReader::hasRecord(const std::string& name) { std::lock_guard<std::mutex> guard(reader_lock_); if ((!load_debug_symbol_) && c10::string_view_ends_with(std::string_view(name), kDebugPklSuffix...
CUDACachingAllocator.h 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 ...
94 94 #if !defined(__CUDA_ARCH__) // CUDA doesn't like std::logic_error in device code 95 95 return (!str.starts_with(prefix) || !str.ends_with(suffix)) 96 - ? (throw std::logic_error("Invalid pattern"), string_view_ext()) 96 + ? (throw std::logic_error("Invalid ...
🐛 Describe the bug Python sample code: from ultralytics.data.annotator import auto_annotate auto_annotate( data='/app/input/signal/images', det_model='/app/runs/detect/train/weights/best.pt', sam_model='mobile_sam.pt', device="cuda", out...
#if!defined(__CUDA_ARCH__)//CUDA doesn't like std::logic_error in device code return(!str.starts_with(prefix) || !str.ends_with(suffix)) ? (throwstd::logic_error("Invalid pattern"),string_view()) Expand All@@ -101,8 +101,7 @@ inline constexpr string_view_ext extract( ...