![]() Typing_extensions-3.7.4.3 | py_0 25 KB conda-forge Olefile-0.46 | pyh9f0ad1d_1 32 KB conda-forge Liblapacke-3.9.0 | 8_mkl 3.9 MB conda-forge Liblapack-3.9.0 | 8_mkl 3.9 MB conda-forge Libcblas-3.9.0 | 8_mkl 3.9 MB conda-forge The following packages will be downloaded: package | build I deleted the new environment all together so I created a new one and installed pytorch with the command conda install pytorch torchvision torchaudio cudatoolkit=11.1 -c pytorch -c conda-forgeĬollecting package metadata (current_repodata.json): doneĮnvironment location: c:\Users\yoon-python\anaconda3\envs\deeplearning (Don’t need to explain it to me I will look it up later ) ![]() I’m too much of a beginner to understand what compile and run the cuda samples mean. | 0 N/A N/A 8984 C G …IA GeForce Experience.exe N/A | | GPU GI CI PID Type Process name GPU Memory | returns true.Ĭould not find a solution, tried re-installing Conda, CUDA, drivers, Pytorch - did not help. ![]() Running deviceQuery and bandwidthTest returns all tests PASS successfull Windows 10 laptop with NVIDIA GeForce GTX 1650 | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | GPU Name TCC/WDDM | Bus-Id Disp.A | Volatile Uncorr. ![]() Nvidia-smi output: (driver version seems compatible with CUDA version) ![]()
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