cudaMemGetInfo是CUDA(Compute Unified Device Architecture)的一个函数,用于获取GPU设备上的内存信息。它可以返回当前GPU设备上的空闲内存大小和总内存大小。 具体而言,cudaMemGetInfo函数的原型如下: 代码语言:txt 复制 cudaError_t cudaMemGetInfo(size_t* free, size_t* total) ...
使用cudaMemGetInfo函数获取内存使用情况:cudaMemGetInfo(&freeMem, &totalMem),其中freeMem和totalMem是用于存储可用内存和总内存大小的变量。 可以通过计算已分配内存与总内存的差值来获取已使用内存的大小:usedMem = totalMem - freeMem。 CUDA上下文中的内存使用情况对于优化GPU程序和避免内存溢出非常重要。根据不...
OS: Windows 10 CUDA : 11.5 Language: C++ Hello there. I have 3 similar 2080Ti GPUs on my PC. I need to query the amount of used memory of each GPU separately. So I created this rudimentary application to test the CUD…
Tensors and Dynamic neural networks in Python with strong GPU acceleration - Issue torch.cuda.mem_get_info runtime error: hip error: invalid argument · pytorch/pytorch@c35a011
I have an nvidia GPU available on my machine. ~$ lspci | grep -i nvidia 01:00.0 VGA compatible controller: NVIDIA Corporation GK104 [GeForce GTX 760] (rev a1) 01:00.1 Audio device: NVIDIA Corporation GK104 HDMI Audio Co…
__host__ cudaError_t cudaMemGetInfo ( size_t* free, size_t* total ) Gets free and total device memory. __host__ cudaError_t cudaMemPrefetchAsync ( const void* devPtr, size_t count, int dstDevice, cudaStream_t stream = 0 ) Prefetches memory to the specified destinatio...
为了使使用这些管理器之一轻松实现EMM插件,Numba将为内存管理器类提供 memhostalloc和mempin方法的实现。此类的简要定义如下: class HostOnlyCUDAMemoryManager(BaseCUDAMemoryManager): # Unimplemented methods: # # - memalloc # - get_memory_info def memhostalloc(self, size, mapped, portable, wc): # ...
However, torch 1.9.0 seems not to have mem_get_info. How to fix it? Thanks for any help! Collaborator sgugger commented Nov 22, 2022 Looks like this function was only added in PyTorch 1.11, so you will need to upgrade to PyTorch 1.11 to be able to use this feature. sgugger ...
子类必须实现memalloc和get_memory_info。 initialize和reset由所使用的结构的方法进行初始化HostOnlyCUDAMemoryManager。 如果子类与初始化(可能)或复位(不太可能)无关,则无需实现这些方法。 但是,如果它确实实现了这些方法,那么它还必须HostOnlyCUDAMemoryManager在其自己的实现中调用这些方法。
Eorror when use load_checkpoint_and_dispatch: module 'torch.cuda' has no attribute 'mem_get_info'See original GitHub issue System Info - `Accelerate` version: 0.13.2 - Platform: Linux-5.15.0-52-generic-x86_64-with-glibc2.17 - Python version: 3.8.13 - Numpy ver...