此时系统会把原来分配给CUDA运算的内存,调拨给primary surface,从而造成CUDA runtime产生错误,并返回invalid context error。 (言外之意是说,跑cuda的时候不要切分辨率?) 3.6 Tesla Compute Cluster Mode for Windows 略 Chapter 4 硬件架构 4.0 补充内容 这份官方文档讲的硬件内容太少了,从另一本书里补一点过来,...
RuntimeError: CUDA error: invalid device ordinal root@ai151:/vllm-workspace# python3 -m vllm.entrypoints.api_server --model /models/openchat-3.5-0106/ --tensor-parallel-size 4 --dtype float16 --enforce-eager WARNING 03-29 13:57:06 config.py:732] Casting torch.bfloat16 to torch.float...
28:27] [TRT] [E] 1: [reformat.cpp::genericReformat::executeCutensor::388] Error Code 1: CuTensor (Internal cuTensor permutate execute failed) [12/06/2022-14:28:27] [TRT] [E] 1: [checkMacros.cpp::nvinfer1::catchCudaError::202] Error Code 1: Cuda Runtime (invalid resource handle)...
pycuda._driver.LogicError: explicit_context_dependent failed: invalid device context - no currently active context? TensorRT的调试报错整理: 原因:pycuda.driver没有初始化,导致无法得到context,需要在导入pycuda.driver后再导入pycuda.autoinit,即如下: importpycuda.driverascuda importpycuda.autoinit 导入pycuda...
RuntimeError: CUDA error: invalid device function (multi_tensor_apply at csrc/multi_tensor_apply.cuh:111) frame #0: c10::Error::Error(c10::SourceLocation, std::string const&) + 0x33 (0x7f7679444193 in /home/ivdai/anaconda3/envs/ccx_test0/lib/python3.7/site-packages/torch/lib/libc10...
Tell the CUDA runtime that DeviceFlags is being set in cudaInitDevice call #define cudaInvalidDeviceId ((int)-2) Device id that represents an invalid device #define cudaIpcMemLazyEnablePeerAccess 0x01 Automatically enable peer access between remote devices as needed #define cudaMemAttach...
pycuda._driver.LogicError: explicit_context_dependent failed: invalid device context - no currently active context? 原因: pycuda.driver没有初始化,导致无法得到context,需要在导入pycuda.driver后再导入pycuda.autoinit,即如下: import pycuda.driver as cuda ...
此时系统会把原来分配给CUDA运算的内存,调拨给primary surface,从而造成CUDA runtime产生错误,并返回invalid context error。 (言外之意是说,跑cuda的时候不要切分辨率?) 3.6 Tesla Compute Cluster Mode for Windows 略 Chapter 4 硬件架构 4.0 补充内容 这份官方文档讲的硬件内容太少了,从另一本书里补一点过来,...
底层查看之后,发现了问题。原来是Pytorch在参数保存的时候,会注册一个跟原来参数位置有关的location。比如原来你在服务器上的GPU1训练,这个location很可能就是GPU1了。而如果你台式机上只有一个GPU,也就是GPU0的时候,那么这个参数带进来的Location信息于你的台式机不兼容,就会发生找不到cuda device的问题了。
pycuda._driver.LogicError: cuMemcpyHtoD failed: invalid device context whats the problem? Environment TensorRT Version: 8.0.3 GPU Type: RTX 2080 Ti Nvidia Driver Version: 470.57.02 CUDA Version: 11.3 CUDNN Version: – Operating System + Version: Ubuntu...