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
The exit code CUDA-MEMCHECK will return if the original application succeeded but memcheck detected errors were present. This is meant to allow CUDA-MEMCHECK to be integrated into automated test suites Controls which application kernels will be checked by the running CUDA-MEMCHECK tool. For more...
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.
NVIDIA / cuda-python Public Notifications Fork 92 Star 1.1k Code Issues 88 Pull requests 9 Discussions Actions Projects Wiki Security Insights New issue [DO NOT MERGE] check if MSVC pre installed in the VM #457 Closed
1.3. How to Get CUDA-MEMCHECK CUDA-MEMCHECK is installed as part of the CUDA toolkit. 1.4. CUDA-MEMCHECK tools Tools allow use the basic CUDA-MEMCHECK infrastructure to provide different checking mechanisms. Currently, the supported tools are : Memcheck - The memory access error and leak ...
tensorrt There is a supported TensorRT™ installation on the development host and, if you specified a hardware object, on the hardware. hostcompiler There is a supported compiler installed on the development host. basiccodegen The selected hardware passed the check to generate CUDA code. basiccode...
check if the third-party dynamic library (e.g. cuda, cudnn) is installed correctly and its version is matched with paddlepaddle you installed. 2. configure third-party dynamic library environment variables as follows: - linux: set ld_library_path by `export ld_library_path=...` - windows...
-> physical GPU (device: 0, name: GeForce RTX 2080 Ti, pci bus id: 0000:01:00.0, compute capability: 7.5) 2020-03-09 10:59:04.349761: F tensorflow/stream_executor/cuda/cuda_driver.cc:175] Check failed: err == cudaSuccess || err ==...
I installed CUDA 5 recently and found existing code based on Thrust cannot be compiled. The error only happens if I switch to OMP or TBB. So I did an experiment using monte_carlo.cpp from Thrust examp... Locking a fragment after switching ...
if not is_installed(ort,"1.17.0",False): run_pip(ort,"--extra-index-url", "https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/onnxruntime-cuda-12/pypi/simple/") elif cuda_version is not None and float(cuda_version)>=12 and torch.torch_version.__version__ >= "2...