模型训练过程中出现报错: `RuntimeError: CUDA error: invalid argument` 排查了各种问题没有解决,最终发现了一个网上目前找不到的解决方法,如果你因为torch版本兼容问题修改过.cu文件不妨看一下,有可能和我一个错误原因 直接说结论: 在修改源代码以适应新版本torch时将`THCCeilDiv`替换为`at::ceil_div`时需要限...
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 cudaSafeCall（） Runtime API error in file.../matrix.cu,line 20: invalid argument 非法的值，数组出界20行用的数组出界
那么后续的任意api的返回值都会是这个错误,都会失败cudaError_t code =cudaPeekAtLastError();if(code != cudaSuccess){constchar* err_name =cudaGetErrorName(code);constchar* err_message =cudaGetErrorString(code);printf("kernel error %s:%d test_print_kernel failed. \n code = %s, message = %s...
RuntimeError: 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. Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. torch 2.0....
with open(engine_file_path, "rb") as f, trt.Runtime(TRT_LOGGER) as runtime: return runtime.deserialize_cuda_engine(f.read()) def preprocess_image(image_path, input_size): image = cv2.imread(image_path) image = cv2.resize(image, input_size) ...
0 with 5632 MB memory) -> physical 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 == cudaSu...
后面就一路Accept就可以~报错The distribution-provided pre-install script failed!不必理会,继续安装。最重要的一步,安装程序问你是否使用nv的xconfig文件,这里一点要选yes,否则在启动x-window时不会使用nv驱动。 5.4重启 X-window 服务 代码语言:javascript ...
5.RuntimeError: version_ <= kMaxSupportedFileFormatVersion INTERNAL ASSERT FAILED at /pytorch/caffe2/serialize/inline_container.cc:132, please report a bug to PyTorch. Attempted to read a PyTorch file with version 3, but the maximum supported version for reading is 2. Your PyTorch installation...
The API call failed because it was unable to allocate enough memory or other resources to perform the requested operation. cudaErrorInitializationError = 3 The API call failed because the CUDA driver and runtime could not be initialized. cudaErrorCudartUnloading = 4 This indicates that a CUDA...
The update failed for an unexpected reason which is described in the return value of the function CU_GRAPH_EXEC_UPDATE_ERROR_TOPOLOGY_CHANGED = 0x2 The update failed because the topology changed CU_GRAPH_EXEC_UPDATE_ERROR_NODE_TYPE_CHANGED = 0x3 The update failed because a node type chang...