https://github.com/tensorflow/tensorflow/blob/v2.1.0/tensorflow/stream_executor/cuda/cuda_driver.cc#L351 其实根据代码,顺藤摸瓜,还挺清楚的,就是执行cuInit()这个函数报错了,于是就会打印出failed to call to cuInit...这个错误日志上,然后就执行LogDiagnosticInformation()这个函数了,再去看看这个函数。 http...
【Tensorflow】failed call to cuInit: CUDA_ERROR_MAP_FAILED: mapping of buffer object failed,程序员大本营,技术文章内容聚合第一站。
cudaErrorMapBufferObjectFailed = 205 This indicates that the buffer object could not be mapped. cudaErrorUnmapBufferObjectFailed = 206 This indicates that the buffer object could not be unmapped. cudaErrorArrayIsMapped = 207 This indicates that the specified array is currently mapped and thus ...
runner.log_buffer.update({'grad_norm': float(grad_norm)}, RuntimeError: CUDA error: an illegal memory access was encountered CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect. ...
Parameters devPtr - Device pointer returned by cudaIpcOpenMemHandle Returns cudaSuccess, cudaErrorMapBufferObjectFailed, cudaErrorInvalidResourceHandle, Description Unmaps memory returnd by cudaIpcOpenMemHandle. The original allocation in the exporting process as well as imported mappings in other ...
If zero optimiation is of stage 0, the error disappers. What may cause this error? Is it possible to cause by some inproperty structure of model? I really don't know how to debug this. torch 2.0.0+cu117 deepspeed 0.9.0
mapping:viewer将逻辑索引(logical index)转化为内存的偏移(memory offset) checking:viewer会处理逻辑索引输入并进行边界检查,避免一切越界行为与空指针访问等内存问题 上面代码并不那么的优雅,我们发现,并行代码的逻辑似乎和kernel的调用参数产生了紧密的联系,这使得代码的意图不那么明显,可读性不佳。其实,像向量相加这样...
cudaFree()N/AclReleaseMemObject()The buffer deletion is handled by the SYCL runtime, when an application exits the end of the SYCL scope{}. link Runtime API equivalent CUDASYCLOpenCL <<<...>>>nd_rangeclassglobal_work_size local_work_sizevariables "...
277 fprintf(stderr, "device_free: cnmemFree call failed! Reason=%s\n", 278 cnmemGetErrorString(status)); 279 } 280 } 281 else { 282 // We need sync as the Theano's GC could remove intermediate variable that 283 // are still needed as the gpu kernel are running or in ...
std::string msg = std::string("Unable to register backbuffer as CUDA resource: ") + std::string(cudaGetErrorString(cr));throw std::exception(msg.c_str());}// Specify mapping strategy for the resource to be read/write// since the Direct3D rendering will be loaded, processed and...