在这个示例中,如果N是负数或者非常大(超出了GPU的内存限制),那么cudaMemcpy或vectorAdd<<<blocksPerGrid, threadsPerBlock>>>(d_A, d_B, d_C, N);调用可能会引发“invalid argument”错误。 验证GPU设备是否支持正在尝试执行的操作: 检查你的GPU型号和计算能力(Compute Capability),确...
os.environ["CUDA_VISIBLE_DEVICES"] = "0" # 或您要使用的其他设备ID TRT_LOGGER = trt.Logger(trt.Logger.VERBOSE) def load_engine(engine_file_path): with open(engine_file_path, "rb") as f, trt.Runtime(TRT_LOGGER) as runtime: return runtime.deserialize_cuda_engine(f.read()) def pre...
RuntimeError: cuda runtime error (11) : invalid argument at /pytorch/aten/src/THC/THCGeneral.cpp:405 未来达摩大师 哈尔滨工业大学,控制科学与工程博士在读(CV方向)一. 错误原因 :1、多GPU测试2、PyTorch版本与显卡不兼容 二. 问题解决 : 将torch.backends.cudnn.benchmark = True(该句一般出现在主...
Hey everyone, I have an application that is multithreaded and I am in a situation where thread 1 is allocating memory with a simple cudaMalloc. Later in my application, thread 2 tries to memset this memory. In my under…
RuntimeError: [address=0.0.0.0:43266, pid=897] CUDA error: invalid argument CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1. ...
N*sizeof(char),cudaMemcpyDeviceToHost)中的hst_output不应该在GPU设备上开辟空间，即不需要这样开辟空间：cutilSafeCall(cudaMalloc((void**)&hst_output,N*sizeof(char)));直接在主机上开辟hst_output的空间，这样cudaMemcpyDeviceToHost才能成功从GPU的存储空间中把数据复制到主机的存储空间 ...
ncclInvalidArgument: Invalid value for an argument. Last error: Invalid config blocking attribute value -2147483648 这个错误一般不是服务器间通信error,而且通常你重新卸载/安装nvidia驱动、cuda、torch甚至deepspeed都不能解决该问题。 解决方法: pip list | grep nccl ...
出现这类问题后,程序必须终止后重启才能重新使用cuda服务,毕竟cuda driver都没了。 重装cuda驱动可以解决。 cudaErrorInvalidConfiguration = 9,"invalid configuration argument" 运行时参数传递得太大了。比如: subFunc<<<dim3(16,16),dim3(64,64)>>>();HANDLE_ERROR(cudaDeviceSynchronize());cudaError_tct=cu...
GPU (device: 0, name: GeForce RTX 2080 Ti, pci bus id: 0000:01:00.0, compute capability: 7.5) 2020-03-09 10:59:04.349761: F tensorflow/stream_executor/cuda/cuda_driver.cc:175] Check failed: err == cudaSuccess || err == cudaErrorInvalidValue...
start server: python3 main.py --listen Total VRAM 32510 MB, total RAM 51200 MB Set vram state to: NORMAL_VRAM Device: cuda:0 Tesla V100-PCIE-32GB : cudaMallocAsync VAE dtype: torch.float32 Using pytorch cross attention Starting server To...