I installed the latest pytorch on windows 10. The PC has a GPU but it is old and is not supported.
I was searching the internet for possible solutions. It appears ‘building from source’ is the only option. But, the process for building from source on Windows 10 seems quite involved.
I wanted to check in this forum if there are any pre-compiled binaries available somewhere that supports older GPU cards.
Or if there is a simplified way to build from source on Windows 10.
Here is the details on the GPU and CUDA in the machine.
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.2\extras\demo_suite\deviceQuery.exe Starting... CUDA Device Query (Runtime API) version (CUDART static linking) Detected 1 CUDA Capable device(s) Device 0: "GeForce GT 710" CUDA Driver Version / Runtime Version 11.2 / 11.2 CUDA Capability Major/Minor version number: 3.5 Total amount of global memory: 2048 MBytes (2147483648 bytes) ( 1) Multiprocessors, (192) CUDA Cores/MP: 192 CUDA Cores GPU Max Clock rate: 954 MHz (0.95 GHz) Memory Clock rate: 2505 Mhz Memory Bus Width: 64-bit L2 Cache Size: 524288 bytes Maximum Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536, 65536), 3D=(4096, 4096, 4096) Maximum Layered 1D Texture Size, (num) layers 1D=(16384), 2048 layers Maximum Layered 2D Texture Size, (num) layers 2D=(16384, 16384), 2048 layers Total amount of constant memory: zu bytes Total amount of shared memory per block: zu bytes Total number of registers available per block: 65536 Warp size: 32 Maximum number of threads per multiprocessor: 2048 Maximum number of threads per block: 1024 Max dimension size of a thread block (x,y,z): (1024, 1024, 64) Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535) Maximum memory pitch: zu bytes Texture alignment: zu bytes Concurrent copy and kernel execution: Yes with 1 copy engine(s) Run time limit on kernels: Yes Integrated GPU sharing Host Memory: No Support host page-locked memory mapping: Yes Alignment requirement for Surfaces: Yes Device has ECC support: Disabled CUDA Device Driver Mode (TCC or WDDM): WDDM (Windows Display Driver Model) Device supports Unified Addressing (UVA): Yes Device supports Compute Preemption: No Supports Cooperative Kernel Launch: No Supports MultiDevice Co-op Kernel Launch: No Device PCI Domain ID / Bus ID / location ID: 0 / 1 / 0 Compute Mode: < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) > deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 11.2, CUDA Runtime Version = 11.2, NumDevs = 1, Device0 = GeForce GT 710 Result = PASS