cuda error: invalid configuration argument 文心快码BaiduComate 遇到“cuda error: invalid configuration argument”错误时,通常表明CUDA程序中的某些配置参数不正确,或者与GPU硬件不兼容。以下是一些可能的解决步骤,按照你的提示进行组织和解释: 检查CUDA版本与GPU硬件的兼容性:
onnxruntime.capi.onnxruntime_pybind11_state.Fail: [ONNXRuntimeError] : 1 : FAIL : Non-zero status code returned while running Concat node. Name:'/mask_decoder/fusion_blks.2/Concat' Status Message: CUDA error cudaErrorInvalidConfiguration:invalid configuration argument Has anyone encountered ...
尽管此错误与cudaErrorInvalidConfiguration相似,但此错误通常表明用户尝试向设备内核传递太多参数,或者内核启动为内核的寄存器计数指定了太多线程。 cudaErrorInvalidDeviceFunction请求的设备功能不存在,或者没有为正确的设备体系结构编译。 cudaErrorInvalidConfiguration这表明内核启动正在请求当前设备永远无法满足的资源。 每个块...
🐛 Bug When back-propagating through torch.cdist operator, the GPU device throws an RuntimeError exception titled: CUDA error: invalid configuration argument. To Reproduce Steps to reproduce the behavior: create a Python file 'test.py': import torch for i in range(510, 520): a = torch.ze...
Errorusing gpuArray/nan Anunexpected error occurred trying to launch a kernel. The CUDA error was: invalidconfiguration argument % Second try: K>> y = nan(s,'like',x) y = NaN This is very perplexing to me. Any thoughts? Sign in to answer this ...
建议将cudaDeviceSynchronize()函数放在cudaGetLastError()前(但不要用cudaDeviceSynchronize()直接替换掉cudaGetLastError(),有某些异常如cudaErrorInvalidConfiguration并不会在cudaDeviceSynchronize()中报错,而是在cudaGetLastError()中被返回)。 cudaErrorInvalidValue = 1,"invalid argument" 如果出现这个问题,大概率是指针...
/torch/autograd/__init__.pyinbackward(tensors,grad_tensors,retain_graph,create_graph,grad_variables)91Variable._execution_engine.run_backward(92tensors,grad_tensors,retain_graph,create_graph,--->93allow_unreachable=True)# allow_unreachable flag9495RuntimeError:CUDAerror:invalid configuration argument...
Description I’m using tensorrt to run a mask-rcnn model, and using pytorch to postprocess the result. when the inference result contains more than 2 bounding boxes, and I print the result, a GPU tensor, it raises an e…
cudaErrorInvalidConfiguration = 9。通常是传递运行时参数时超过了显卡的负载,如线程数大于deviceQuery输出的每个核的最大线程数、核数大于网格中最大核数等等。 cudaErrorInvalidPitchValue = 12。一般是在使用cudaMemcpy2D、cudaMemcpy3D等拷贝高维数组时,Pitch出现了问题——可能没有申请Pitch,或者Pitch的地址出错等等...
My configuration: CatBoost Version: 1.1.1 Operating System: PopOS 22.04 CPU: AMD Ryzen 9 5950X GPU: 4090 CUDA: 11.8 I downgraded to version 1.1.0. It made the error less common but did not resolve it completely. The error below is observed with CatBoost 1.1.0. ...