Last Error: init_cuda_ctx: CUDA call "cu->cuDeviceGet(&device, gpu)" failed with CUDA_ERROR_INVALID_DEVICE (101): invalid device ordinalKrahazik New Member Jan 29, 2025 #3 I just started getting this same error. It doesn't matter if my device is set to 0 or 1. I have two...
This issue template is intended to be used primarily for requests related to pandas accelerator mode. If you'd like to file a general cuDF feature request, please click here. Missing Pandas Feature Request A clear and concise summary of ...
@MyBatisDao public interface StrategyMapper { int insert(Strategy record); } 2、实现层 package...
When I turned the learning around, I started using numba, but this error occurred whether there was a problem with the cuda. I used the cuda simulator through the $ export NUMBA_ENABLE_CUDASIM=1 command, but I didn't get an error, but I ...
reason not-negotiated (-4)Should I need to reinstall deepstream or cuda?Update GST_DEBUG=3 ./d...
Cuda compilation tools, release 2.1, V0.2.1221 Unimplemented is INITVKIND_SYMOFF… –Regards, Wojtek N. navier-stokes2009 年4 月 20 日 11:042 … The following code: device int test [3] = {1,2,3}; device int *test_ptr = test; ...
Hi, I'm getting this error when using numba. I have installed rapids.ai on WSL2 with ubuntu 20.04. Rapids GPU packages are working with the GPU. I can load...
🐛 Describe the bug I am using the Nvidia's 'cuda-python' bindings, and I have discovered that torch expects to be the only CUDA resident in a given program. In my code I was doing something as follows: import torch from cuda import cuda ...
IsAllowedCUDACall(Caller, Function)) { 6707 - Candidate.Viable = false; 6708 - Candidate.FailureKind = ovl_fail_bad_target; 6709 - return; 6710 - } 6700 + if (getLangOpts().CUDA) { 6701 + const FunctionDecl *Caller = getCurFunctionDecl(/*AllowLambda=*/true); 6702 + //...
view(ctx.inp_shape), grad_weight.view(ctx.weight_shape), None, None 65 + 66 + 67 + def compress_int4_weight(weight: torch.Tensor): # (n, m) 68 + with torch.cuda.device(weight.device): 69 + n, m = weight.size(0), weight.size(1) 70 + assert m % 2 == 0 71...