package = tvmc.compile(model, target='cuda')
I"m working on tutorial Getting Starting using TVMC Python: a high-level API for TVM — tvm 0.16.dev0 documentation
for that attempt at settintg target to cuda I get
[19:27:00] /workspace/tvm/src/target/target_kind.cc:181: Warning: Unable to detect CUDA version, default to "-arch=sm_50" instead
[19:27:00] /workspace/tvm/src/target/target_kind.cc:181: Warning: Unable to detect CUDA version, default to "-arch=sm_50" instead
[19:27:00] /workspace/tvm/src/target/target_kind.cc:181: Warning: Unable to detect CUDA version, default to "-arch=sm_50" instead
[19:27:00] /workspace/tvm/src/target/target_kind.cc:181: Warning: Unable to detect CUDA version, default to "-arch=sm_50" instead
[19:27:00] /workspace/tvm/src/target/target_kind.cc:181: Warning: Unable to detect CUDA version, default to "-arch=sm_50" instead
[19:27:00] /workspace/tvm/src/target/target_kind.cc:181: Warning: Unable to detect CUDA version, default to "-arch=sm_50" instead
[19:27:00] /workspace/tvm/src/target/target_kind.cc:181: Warning: Unable to detect CUDA version, default to "-arch=sm_50" instead
[19:27:00] /workspace/tvm/src/target/target_kind.cc:181: Warning: Unable to detect CUDA version, default to "-arch=sm_50" instead
[19:27:00] /workspace/tvm/src/target/target_kind.cc:181: Warning: Unable to detect CUDA version, default to "-arch=sm_50" instead
[19:27:00] /workspace/tv
I have cuda working otherwise on my WSL2.
besides that thought, the docs here: tvm.target — tvm 0.16.dev0 documentation
I’m not sure what passes for a valid string for my Ryzen 5000 Series CPU, is there a list of valid strings?
Also I just ran devicQuery from Cuda Samples so I’m positive my GPU is detectable.
nyck33@lenovo-gtx1650:/mnt/d/cuda/cuda-samples/Samples/1_Utilities/deviceQuery$ ./deviceQuery
./deviceQuery Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
Detected 1 CUDA Capable device(s)
Device 0: "NVIDIA GeForce GTX 1650"
CUDA Driver Version / Runtime Version 12.1 / 12.0
CUDA Capability Major/Minor version number: 7.5
Total amount of global memory: 4096 MBytes (4294705152 bytes)
(014) Multiprocessors, (064) CUDA Cores/MP: 896 CUDA Cores
GPU Max Clock rate: 1515 MHz (1.51 GHz)
Memory Clock rate: 6001 Mhz
Memory Bus Width: 128-bit
L2 Cache Size: 1048576 bytes
Maximum Texture Dimension Size (x,y,z) 1D=(131072), 2D=(131072, 65536), 3D=(16384, 16384, 16384)
Maximum Layered 1D Texture Size, (num) layers 1D=(32768), 2048 layers
Maximum Layered 2D Texture Size, (num) layers 2D=(32768, 32768), 2048 layers
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 49152 bytes
Total shared memory per multiprocessor: 65536 bytes
Total number of registers available per block: 65536
Warp size: 32
Maximum number of threads per multiprocessor: 1024
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: 2147483647 bytes
Texture alignment: 512 bytes
Concurrent copy and kernel execution: Yes with 2 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
Device supports Unified Addressing (UVA): Yes
Device supports Managed Memory: Yes
Device supports Compute Preemption: Yes
Supports Cooperative Kernel Launch: Yes
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 = 12.1, CUDA Runtime Version = 12.0, NumDevs = 1
Result = PASS
nyck33@lenovo-gtx1650:/mnt/d/cuda/cuda-samples/Samples/1_Utilities/devi
nyck33@lenovo-gtx1650:/mnt/d/cuda/cuda-samples/Samples/1_Utilities/deviceQuery$