If you have an NVIDIA GPU and have installed the NVIDIA drivers from the official NVIDIA website (nvidia.com/Download), it indicates that your GPU supports CUDA. The CUDA toolkit can be used to build executables that utilize CUDA features. ...
I have a Cuda kernel that runs well if I use the nsight cuda profiler or if I run it directly from the terminal. But if I use this command cuda-memcheck --leak-check full ./CudaTT 1 ../../file.jpg It crashes with "unspecified launch failure". I'm using this after each kernel...
Noticing that CUDAPluggableAllocator checks for duplicate free calls on the same pointer, but there is no check for duplicate malloc calls in CUDAPluggableAllocator. Duplicate call of malloc in the same pointer would occur if the statically allocated PluggableAllocator is used. Suppose there are two...
leak-check full,no no Prints information about all allocations that have not been freed via cudaFree at the point when the context was destroyed. For more information, see Leak Checking. report-api-errors all, explicit, no explicit Report errors if any CUDA API call fails. For more informa...
leak-check full,no no Prints information about all allocations that have not been freed via cudaFree at the point when the context was destroyed. For more information, see Leak Checking. report-api-errors all, explicit, no explicit Report errors if any CUDA API call fails. For more informa...
Fixes #7044. According to https://developer.nvidia.com/blog/cuda-pro-tip-the-fast-way-to-query-device-properties, this should be fast so checking for every allocation should not be noticeable.
Method 1 — Use nvcc to check CUDA versionIf you have installed the cuda-toolkit software either from the official Ubuntu repositories via sudo apt install nvidia-cuda-toolkit, or by downloading and installing it manually from the official NVIDIA website, you will have nvcc in your path (try...
When I run demo.py with gpu_id = 0, it is OK. But when I set gpu_id = 1 or 2 or 3(I have 4 gpu), the problem arises. if using cuda-8, the problem seems missing from my side. 在我这里是这样,因为我的环境数据其实都没有问题。 原本做2D Object detetction 的网络去掉了RPN部分...
Unfortunately, # we have no way to anticipate this will happen before we run the function.) ctx.had_cuda_in_fwd = False if torch.cuda._initialized: # PyTorch提供的一个内部变量,用于判定CUDA状态是否已经被初始化了 # torch.cuda.is_initialized中就用到了该变量 ctx.had_cuda_in_fwd = True #...
If you have an NVIDIA graphics card and want to check its specifications, such as the VRAM display memory (usually reads in GB), clock speed, Bus, drivers’ info, etc., you can check them directly on the NVIDIA Control Panel. The NVIDIA Control Panel usually comes with your NVIDIA graphi...