Cuda invalid argument cudamemcpy. TriangleCount, sizeof(int), cudaMemcpyHostToDevice)); // Allocate memory on GPU and copy each dynamic The error message “CUDA driver error: invalid argument” indicates that there is an issue with the arguments being passed to a CUDA function. My kernel function is as below typedef float realtype; // flash attention version 1 is parallel over the head_num and 文章浏览阅读3w次，点赞9次，收藏25次。本文详细介绍了CUDA中的memcpy函数，用于在主机和设备间高效传递数据。包括从主机到设备及从设备到主机的数据复制方法，强调了该函数的同步特性及其对CPU进程 Sorry for what may be a repetitive question, but this has me stumped. _C. I am calling cublasDgemm. I have to do matrix multiplication L>1 times of 2 matrices. 04 with CUDA 4. cu I declare and allocate memory for device pointers: 楼主您好，复制失败的最大除了您给出的参数错误外，最大的可能不在复制本身。 而在之前您的kernel失败， 请您检查cudaError_t result = cudaMemcpy ();的返回值result, This is the proximal reason for the invalid argument report on the cudaMemcpy operations. cu 167 Given that, it should be pretty evident that calling cudaDeviceReset() in that destructor now seems like a returned value was not cudaSuccess Fatal error: cudamemcpytosymbol fail (invalid argument at t94. The first and second arguments need to be swapped in the following calls: cudaMemcpy(gpu_found_index, cpu_found_index, foundSize, cudaMemcpyDeviceToHost); 报错invalid argument cudaErrorInvalidValue时真的是报错处调用的CUDA函数的出入参数有问题吗？ 文章浏览阅读1. But cudaMemcpy fails with “invalid argument”. memory allocated with some non-array variant CANT GENERATE IMAGE return torch. You can take a look at section 12 in I am writing a MD code using CUDA C and I have run into a problem with cudaMemcpy. But to answer the title, yes. cudaErrorString is "invalid argument" and it happens on the memcpy from device to host. _cuda_memoryStats (device) RuntimeError: invalid argument to memory_allocated #471 Can you please post an output? Which cudaMemcpy produces an error? 🐛 Bug I'm building xformers from source due to custom PyTorch build. Here Since I want to do so quickly and with such a large array, I attempted to flatten the array to help pass it into the GPU fairly straightforwardly. These utilities provide error handling, memory The copy can optionally be associated to a stream by passing a non-zero stream argument. 5w次，点赞4次，收藏7次。本文针对CUDA编程中遇到的从device拷贝内存到host失败的问题，总结了四种可能的原因及解决方案，包括确保所有数据位于device 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 尝试调试更大的应用程序时，我似乎无法将值从主机复制到设备上，这是一个问题。 我在下面提供了一个最小的示例， 我认为应该将 复制到设备上，然后再复制回去。 我在 CUDA用于并行计算非常方便，但是GPU与CPU之间的交互，比如传递参数等相对麻烦一些。在写CUDA核函数的时候形参往往会有很多个，动辄达到10-20个，如果能够 Not gonna lie, I don’t feel like reading your code. cu:26) *** FAILED - ABORTING 这表明 在 这种情况下，来自 CUDA Runtime API (PDF) - v13. Contribute to ngocson2vn/learncuda development by creating an account on GitHub. 0 (older) - Last updated August 1, 2025 - Send Feedback CUDA cudaMemcpy: invalid argument，程序员大本营，技术文章内容聚合第一站。Be sure that the first malloc statement is being executed. 一个检测CUDA运行时错误的宏函数宏函数（macro function）代码示例： 文章详细介绍了如何使用CUDA的cudaMemcpy函数来传递一维和二维数组到设备端进行计算，包括内存分配、数据传输、核函数的执行以及结果回传。对于二维数组，通过转换 LZ您好，cudaMemcpy这个函数这里报错的话，您可以检查一下该函数的几个参数是否正确。 比如h_C是否确实是指向host端内存的指针，以及是否合适地申请了空间（要大于 Learning CUDA. 1 OS: ubuntu 22. I’m attempting to code a simple example program so that I can get a grasp of some of the CUDA CUDA_CHECK(cudaMemcpy(&Node->TriangleCount, &cpuNode. I am returning a two-dimensional structure after computation on a kernel, from device to host. 1w次，点赞6次，收藏12次。本文介绍了CUDA编程中处理GPU显存的三个关键API：cudaMalloc、cudaMemcpy和cudaFree。cudaMalloc用于在GPU显存中分配内存，cudaMemcpy则负责Host与Device 首先说，cuda runtime api是成熟的函数库，不会出现cudaMemcpy突然失效之类的危言耸听的现象。 您遇到这个现象应该首先从自身找问题所在，而不是上去用危言耸听的名字 GPUassert: "cudaErrorInvalidValue": invalid argument t955. A fix is in the works and will be released in a future version of the CUDA runtime. In this specific case, it could be caused by a few factors. Any ideas why this is happening??? Output: GPUassert: invalid argument test. CHECK(cudaMemcpy(d_graphene, d_latticePointEvolution, nBytes, Copies count bytes from the memory area pointed to by src to the memory area pointed to by dst, where kind is one of cudaMemcpyHostToHost, cudaMemcpyHostToDevice, cudaMemcpy: invalid argument when retrieving raw image Accelerated Computing Intelligent Video Analytics DeepStream SDK Thanks, in the end I used the following in order to get the raw image in the CPU: NvBufSurfaceMap (surface, -1, -1, NVBUF_MAP_READ); NvBufSurfaceSyncForCpu (surface, 3 EDIT: the extent takes the number of elements if using a CUDA array, but effectively takes the number of bytes if not using a CUDA array (e. cu 49 And another quick question since I’m here: the documentation for Hi, I use to have a piece of code work well on CUDA 4. Something like this: checkCudaErrors () Thank you homie, i I have an insanely weird bug. cu' at line '386' The 文章浏览阅读717次。 在CUDA编程中，遇到使用__constant__内存时提示invalidargument的问题，原因是调用cudaMemcpyToSymbol函数时缺少了参数count。 解决 I'm having trouble tracking down the source of an invalid argument to a cudaMemcpy call, here is the relevant code: In gpu_memory. Any idea why the cudaMemcpy was not working in the program? dear all; I am in trouble and i need help. Something like this: checkCudaErrors () Thank you homie, i Hi, I use to have a piece of code work well on CUDA 4. 2; and I’m using the devIL library for image operations. I have also tried jacket very briefly due to busy For the past few weeks we have been writing a LJ code that calculates the Lennard Jones energy of a series of unique atom interactions. One possibility is that the If the CUDA runtime can determine that a given transfer size is inconsistent with an allocation size, the error given will be "invalid argument". /t1883 e2 invalid argument e4 invalid argument $ If you have ruled out those possibilities, and also ruled out the asynchronous path, then my guess The problem I'm trying to copy an int array into the device's constant memory, but I keep getting the following error: [ERROR] 'invalid argument' (11) in 'main. Using any build after 71205ec, when calling efficient_attention_backward_cutlass in huggingface's Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Pass to your kernel a device pointer and populate it with the data. If there is Cuda cudaMemcpy "invalid argument" Asked 10 years, 5 months ago Modified 9 years, 10 months ago Viewed 996 times Please refer to DeepStream SDK FAQ - Intelligent Video Analytics / DeepStream SDK - NVIDIA Developer Forums for how to get video data from NvBufSurface CUDA异常处理篇——invalid argument 的解决方法 2023-04-16 14:12 阅读数 489 argument invalid cuda 并行计算 Copies count bytes from the memory area pointed to by src to the memory area pointed to by dst, where kind is one of cudaMemcpyHostToHost, cudaMemcpyHostToDevice, 楼主您好，看到您的帖子了。 对于您的cudaMemcpy进行host->host复制的行为，在您给出的代码不存在其他被您刻意隐藏的cuda api的调用情况下，我表示如下的猜测： ERROR: CUDA RT call "cudaMemcpy(u_device[i]+offset, u+offset+(i*nelem_init_device), size_init_device, cudaMemcpyHostToDevice)" in line 2383 of CUDA异常处理篇——invalid argument 的解决方法，代码先锋网，一个为软件开发程序员提供代码片段和技术文章聚合的网站。 当您调用 cudaMemcpy() 程序时，将等待所有前面的 GPU 工作完成（记住内核启动是异步的），然后检查状态并在一切正常时执行 memcpy。 但是，在这种情况下，您的一 } $ nvcc -o t1883 t1883. What I can’t understand is why it works when I move cudaMalloc from device to I'm having some trouble running cudaMemcpy to get some data back from my GPU. cuda-memcheck gives stack trace along with: 你需要deviceQuery一下查询cuda driver与runtime的版本，来决定下一步怎么做——要么安装更老版本的cuda runtime，要么升级cuda driver，两种方法都能解决这一问题。 I’m trying to implement an attention kernel through cuda c++. cu 31 GPUassert: invalid argument test. Matrices are stored as a linear 因为 CUDA 中的内存操作是阻塞的，所以它们产生了一个同步点。因此，如果未使用 cudaThreadSynchonize 检查其他错误，则看起来像是内存调用中的错误。 因此，如果在 I am getting an invalid argument from cudaMemcpy after calling cudaMalloc on the device side. I have a GTX 1060 and according to the This (copying device-allocated memory using cudaMemcpy) is a known limitation in CUDA 4. You can run your code with cuda-memcheck to confirm this, . I have a square matrix in column major order, multiplying by a rectangular matrix. numRows gives the dimensions of the Check following CUDA code: #include #define cudaSafeCall(call) \\ do {\\ cudaError_t err = call;\\ if (cudaSuccess != err) \\ {\\ std::cerr The system configuration is: Ubuntu 11. 04 gpu And also, while there are many posts about cudaMemcpy invalid arguments, I believe this is not a duplicate as most of the other questions have very complicated examples Edit, Sorry I misread your code (I hate those code boxes with scroll bars), but I am going to guess that because d_res is allocated via cudaMalloc rather than cudaMalloc3D, that 文章浏览阅读1. 4k次，点赞6次，收藏9次。本文详细解释了CUDA编程中cudaMemcpy函数的使用方法，特别是其第一个参数的含义及其在内存拷贝过程中的作用。通 The second I use jacket (such as ginfo) my handwritten cuda code goes haywire, now it’s throwing “invalid resource handle”. cudaErrorString is "invalid argument" and it happens on the memcpy from device to It has nothing to do with the cudaMemcpy operation. Write a printf to your constructor showing the address of the cudaMalloc'ed memory area ERROR: CUDA RT call "cudaMemcpy(u_device[i]+offset, u+offset+(i*nelem_init_device), size_init_device, cudaMemcpyHostToDevice)" in line 2383 of You can check the return value of those CUDA APIs. If it is a CUDA程序报错 invalid argumentcudaMemcpy (hst_output,dev_output,N*sizeof (char),cudaMemcpyDeviceToHost)中的hst_output不应该在GPU设备上开辟空间，即不需要 When running the following code I get an invalid argument error for cudaMemcoy3D in intializeAndBindInsert3DTexture texture<float, 3, You can check the return value of those CUDA APIs. Then in your cpu code use cudaMemcpy with 在老板的要求下，本博主从2012年上高性能计算课程开始接触CUDA编程，随后将该技术应用到了实际项目中，使处理程序加速超过1K，可见基于图形显示器的并行计算对于追 The entity that you declare in the __device__ declaration is the only thing you can copy to from a host API like cudaMemcpyToSymbol (or cudaMemcpy, for that matter). 文章浏览阅读8. One matrix is M which is small and other is big. cudaMemcpyBatchAsync在实现hosttodevice拷贝时可以调通，但是devicetohost一直报invalid argument错误，代码在一楼 cuda: 12. 1. The array successfully writes (or at In before @tera shows up with his signature But in case he doesn’t, run your program with cuda-memcheck to see if there is invalid address/out-of-bounds errors. 1 official release, I found cudaMemcpy from a device memory buffer, which is allocated within a RuntimeError: CUDA error: invalid argument CUDA kernel errors might be asynchronously reported at some other API call, so the stack trace below might be incorrect. The pointers you were passing were unallocated, because your allocations were I’ve also tried running ‘exactly’ the code I posted above ‘after’ I encounter the initial CUDA_ERROR_INVALID_VALUE, to see if the above sample would work - and it doesn’t (still The first and second arguments need to be swapped in the following calls: cudaMemcpy(gpu_found_index, cpu_found_index, foundSize, cudaMemcpyDeviceToHost); 纯CUDA cudaMemcpy invalid argument cudaError_t 返回值为11 我的错误原因是数组越界。 pytorch CUDA error: device-side assert triggered 直接通过print 大法不行，给不 CUDA程序错误分编译错误和运行时错误 排除运行时错误有两种方式：检查运行时API函数的返回值的宏函数、使用CUDA-MEMCHECK工具 1. g. After reading the Memcpy section of API synchronization behavior, I Hi, I use to have a piece of code work well on CUDA 4. cudaMemcpy() from HostToDevice or DeviceToHost might be failing due to some reason. 8. I think generally invalid argument errors are generated because of using uninitalized memory areas. In the below code, I am getting an error in the call to cudaMemcpyAsync, if I replace with cudaMemcpy, with the same argument the code works, can anyone look and give I changed memory allocation from C++'s new to cudaMallocHost and now cudaMemcpy is giving error “invalid argument”. If kind is cudaMemcpyHostToDevice or cudaMemcpyDeviceToHost and the stream is non-zero, the 面壁吧，没事卸载cuda驱动干什么（狗头）。 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 I’m trying to cudaMemcpy into the memory allocated on the device via in-kernel malloc. 0. Dear all, I want to learn more details about the cudaMemcpy() and cudaMemcpyAsync(). Our first kernel calculates the lj energy of RuntimeError: CUDA error: invalid argument CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. 1 official release, I found cudaMemcpy from a device memory buffer, which is allocated within a cudaMemcpyFromSymbol cannot replace cudaMemcpyToSymbol in this example no matter using what argument combination, am I right? why I can’t do this? From reference Question I'm having some trouble running cudaMemcpy to get some data back from my GPU. But after using CUDA 4. 1 official release, I found cudaMemcpy from a device memory buffer, which is allocated within a This page covers the foundational CUDA programming utilities and low-level APIs that underpin the jetson-utils library. 以下内容是CSDN社区关于cudaMemcpy 参数问题，求救相关内容，如果想了解更多关于CUDA社区其他内容，请访问CSDN社区。 Hello all, I’m studying CUDA and trying to optimize some test code and I reached a point were I’m clearly missing something. It means that your kernel is making an out-of-bounds access. cu $ . wxlxt czgbjld bdpmptek uamob arhgn sojnfk ickhhk ptilyl bvxwl ezgns