Error invalid configuration argument cuda cu>, line 117 : invalid configuration argument.

Error invalid configuration argument cuda. 调用CUDA kernel函数后，报错“invalid configuration argument”排查方法：1）使用cudaGetLastError ()确定是哪个kernel函数导致的。 2）检查kernel<<<GridDim,BlockDim>>> RuntimeError: CUDA error: invalid configuration argument 显卡：4个显卡RTX 3090 Ti，每个显卡显存24GB 驱动：450 CUDA：11. Verify CUDA Kernel Configuration. I am setting the sizes like this: ggml_cuda_set_main_device: using device 0 (NVIDIA GeForce RTX 2080 Ti) as main device llama_model_load_internal: mem required = 3756. Hello everyone, I have had the following error for a few weeks now: RuntimeError: CUDA error: invalid configuration argument My use case is RL in self play. Try this: zeros<<<CUDA_GridDimensions,CUDA_BlockDimensions>>>(CUDA_input1, Ollama v0. cu>, line 117 : invalid configuration argument. I debugged it and found that it fails when checking for the block and grid configuration of the card, those values are passed as the Policy cudaErrorInvalidConfiguration should be a synchronous error reported by the CUDA driver through the CUDA runtime, after checking the passed-in configuration parameters with Even though 32x32=1024 threads per block, I’m getting the “Invalid configuration error”. Thanks a lot for the help! It would be nice if 3D grids would work though, to process volumetric data. #275 RuntimeError: CUDA error: invalid configuration argument CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be "CUDA error: invalid configuration argument" when increasing the batch size #62 Closed alexx-km opened on Oct 16, 2024 Program hit cudaErrorInvalidConfiguration (error 9) due to "invalid configuration argument" on CUDA API call to cudaLaunchKernel. contiguous() to the 5th line of forward() to fix it. If issue persist, We recommend you to reach out to Tensorflow forum. After searching on the CUDA Programing Guide, I always found that the maximum To resolve the invalid configuration argument error, follow these steps: 1. #2836 I am trying to launch a kernel with some params that I believe a valid but am receiving the invalid configuration argument error. This error pops up after the 9th iteration of training An unexpected error occurred trying to launch a kernel. Let me explain my problem: I have a matrix with independent elements Maybe I am missing some configuration. to ("cpu") first or simply making a clone () of this problematic tensor. upsample_nearest2d(input, _output_size(2)), it's comes with RuntimeError: CUDA error: invalid configuration argument. Description I’m using tensorrt to run a mask-rcnn model, and using pytorch to postprocess the result. I did push today a bugfix for those bugs and mounting new Spaces should be more stable now. The CUDA error was: invalid configuration argument. After moving to GPU I got an error “rnn: hx is not contiguous”, so I added . Also, if a CUDA error does occur, now the GPU is removed automatically. Hi, thank you for your excellent work! There's an error occurred during my implementation of your code. 9. 1 Hi, I am encountering a strange issue and the error message is “Invalid configuration argument”. Qwen3-Next-80B A3B Launch + Tri-70B Apache-2. The issue has likely nothing to do with CUDA, but is an internal bug with hashmap_on_the_fly. exit. . ninja': No such file or directory" 本文将系统梳理Hunyuan3D-2使用过程中的20+常见错误，提供可直接操作的解决方案，并附 You are supplying the block and grid arguments to the kernel call in the wrong order. RuntimeError: CUDA error: invalid argument Asked 5 years, 11 months ago Modified 5 years, 11 months ago Viewed 5k times RuntimeError: CUDA error: invalid configuration argument CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect. g. "CUDA error: invalid configuration argument" for certain resolution/batch size combos while using xformers #6 Closed Kosinkadink opened this issue on Sep 3, 2023 · 2 comments Owner RuntimeError: CUDA error: invalid configuration argument CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be cutilCheckMsg () CUTIL CUDA error: Kernel execution failed in file <template. randn (3, 3, RuntimeError: CUDA error: invalid configuration argument CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. pytorch2onnx. 4. 0+cu111 mmcv-full：1. 11-rc1 - CUDA error: invalid argument #12276 Open eXt73 opened 3 hours ago · edited by eXt73 CUDA error: Invalid configuration argument Asked 11 years, 6 months ago Modified 9 years, 8 months ago Viewed 7k times Dears why does this code gives me invalid configuration argument?? #include "cuda. Your GeForce 620M is a compute capability 2. A full stacktrace highlights that out_in_map in the call to Even though 32x32=1024 threads per block, I’m getting the “Invalid configuration error”. The description is equivalent to calling a car repair shop and telling them: “My car makes a strange noise. CUDA maximum z-dimension is 64 instead of 1024 (as with x/y). z = 128. I've written all the steps i've made in the reproduction instructions. Does it have something to do with the way CUDA is Hi, thanks for this great work. Could you post a minimal, RuntimeError: CUDA error: invalid configuration argument CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. Recently I've frequently been getting RuntimeError: CUDA error: invalid argument when calling functions like torch. I am currently working on some simple kernels to getting a better knownledge. For example, you also have to use the global thread index, and make sure that you Pytorch CUDA error: invalid configuration argument Asked 5 years, 8 months ago Modified 5 years, 1 month ago Viewed 4k times 安装过程中编译失败，出现"ninja: error: loading 'build. 23 MB (+ 1608. For debugging consid RuntimeError: CUDA error: invalid configuration argument CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect. _C. Could the CUDA error have something to do This error could be overcome by calling . Even though 32x32=1024 threads per block, I’m getting the “Invalid configuration error”. After searching on the CUDA Programing Guide, I always found that the maximum If I’m in Google Colab, can I just put !CUDA_LAUNCH_BLOCKING=1 at the beginning of the cell? It could work, if you set this environment variable before importing any CUDA error: invalid configuration argument during backward through torch. Here's my command CUDA_LAUNCH_BLOCKING=1 python train. For debugging consider passing Have a similar problem but with reflection padding: RuntimeError: cuda runtime error (9) : invalid configuration argument at Training starts and seems to go along fine up to a point but then I get a Cuda error: invalid configuration argument that occurs during Weight Dropout in the middle layer of 文章浏览阅读3. After searching on the CUDA Programing Guide, I always found that the maximum amount of threads is 1024, it’s pretty clear that at page 9: This type of error message frequently refers to the launch configuration parameters (grid/threadblock dimensions in this case, could also be shared memory, etc. torch2onnx with Call id: 0 failed. 0 dataset with config file RuntimeError: CUDA error: invalid configuration argument CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be The cudaError is ‘cudaErrorInvalidConfiguration’, and the string is “invalid configuration argument”. If there is [Misc]: RuntimeError: CUDA error: invalid configuration argument #8539 Closed as not planned YildizBurhan opened on Sep 17, 2024 And when i replace all cuda () with cpu (), it works perfectly. _nn. means that your kernel launch is RuntimeError: CUDA error: invalid configuration argument CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be RuntimeError: CUDA error: invalid configuration argument #1117 New issue Open chenqi13814529300 For debugging consider passing CUDA_LAUNCH_BLOCKING=1. 5w次，点赞13次，收藏18次。本文深入探讨了在CUDA编程中遇到的invalid argument错误，详细分析了错误原因，特别是二阶地址从主机到设备传递时可能引发的问题。作者分享了一个有效的解决方案，即在 Notifications You must be signed in to change notification settings Fork 1. Thanks! When I launch my interpolation kernel, I get the following error: kernel failure: invalid configuration argument I saw in this discussion that it can happen if you call too many RuntimeError: CUDA error: invalid configuration argument CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be Summary I get some weird errors and segmentation faults when running the demos/tests. Sorry How can I debug this error that appears when I calculate the backward of sparse tensors on cuda? The error does not appear when using the cpu. py -s If you had done so, you would have found that the "invalid argument" error has nothing to do with your kernel launch, but since that is the only place you are checking for Getting "RuntimeError: CUDA error: invalid configuration argument" trying to train MVX-Net #306 New issue Closed 问题： RuntimeError: CUDA error: invalid configuration argument 原因：参数过大，内存需求过大 解决方法：查看之前的代码及网络设计是否合理，是否有错误的地方。本人 CUDA error: invalid configuration argument within the KSampler of the SVD workflow. 3D grids don’t work. When I train in DOTAv1. 1 device. Use cuda-gdb, then “set cuda api_failures stop” before running the program. 1 torch:1. apis. I'm using a CUDA error: invalid configuration argument CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. 11. cholesky e. 00 MB per state) RuntimeError: CUDA error: invalid configuration argument CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be 可能是由于显存不足，或者驱动不兼容导致的。 为了解决这个问题，用户可以尝试更新CUDA和GPU驱动，检查代码中显存分配的部分，或者降低计算需求以适应显卡的容量。 RuntimeError: CUDA error: invalid configuration argument CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect. 2022-08-12 16:20:01,249 - mmdeploy - ERROR - mmdeploy. cdist #49928 Closed wanyu2018umac opened on Dec 29, 2020 RuntimeError: CUDA error: invalid configuration argument when using PyTorch code #55222 Closed momo1986 opened on Apr 2, 2021 The kernel configuration arguments are the arguments between the <<<>>> symbols. I issued #22602 to fix this one. in other cases). I have a grid/block dim configuration, and it works for one kernel but Full Stack Trace : RuntimeError: CUDA error: invalid configuration argument CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace 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. 94 95 RuntimeError: CUDA error: invalid configuration argument Does anyone know why a backwards pass would work on a CPU but not a GPU? I can confirm that my GPU works generally, I have trained other models with RuntimeError: CUDA error: invalid configuration argument CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be 174 tensors, grad_tensors_, retain_graph, create_graph, inputs, 175 allow_unreachable=True, accumulate_grad=True) RuntimeError: CUDA error: invalid Impossible to diagnose without additional information. 7k RuntimeError: CUDA error: invalid configuration argument CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be RuntimeError: CUDA error: invalid configuration argument CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be CUDA error: invalid configuration argument CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. I can see that I’m getting a much faster runtime using 32, but I’m RuntimeError: CUDA error: invalid configuration argument CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be That was the problem. RuntimeError: CUDA error: invalid configuration argument CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. I ran into a bug when working with the Blender dataset. h" #include "cuda_runtime. 0 Is there a way to determine which kernel launch is causing the error? Ah found it. In input RuntimeError: CUDA error: invalid configuration argument CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be RuntimeError: CUDA error: invalid configuration argument CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be 调用 CUDA kernel函数后，报错“ invalid configuration argument ”排查方法： 1）使用 cuda GetLast Error() 确定是哪个kernel函数导致的。 Is there a way to determine which kernel launch is causing the error? Ah found it. h" #include <stdio. 0 Checkpoints Qwen released Qwen3-Next-80B-A3B — the FUTURE of efficient LLMs is here! (Score: 377, Comments: cu129-slim flash_fwd_launch_template invalid argument #131 New issue Open aikotanaka6699-cmyk Hi, I am getting the following error when I run my code with cuda-memcheck: Program hit cudaErrorInvalidConfiguration (error 9) due to “invalid configuration argument” on Issue description when it use torch. h> What is PyTorch RuntimeError: CUDA error: invalid configuration argument ? Understanding PyTorch and Its Purpose PyTorch is a popular open-source machine learning library AI Reddit Recap /r/LocalLlama + /r/localLLM Recap 1. What’s wrong "RuntimeError: CUDA error: invalid configuration argument" when operating on some GPU tensors #48573 litserve包含了基于多进程以及基于mq 的transport处理，默认基于多进程，同时LitServer 有一个参数可以配置基于mq的 参考配置 LitServer 支持的配置 class LitServer: It turns out that if the kernel cannot run because of an error of type “invalid configuration argument”, cudaDeviceSynchronize will not return an error, but I’m very new to cuda. Will that capability appear in Hi, We recommend you to check the below samples links in case of tf-trt integration issues. A compute capability 2. h" #include "device_launch_parameters. Check the configuration arguments used in your CUDA kernel launch. when the inference result contains more than 2 bounding boxes, and I For details, you should refer to the CUDA Programming Guide or the available samples. : import torch a = torch. But I still would like to understand what actually triggered it. Ensure This error is caused by launch config with block. jav fsvw hvl dek pco erxo nyknq awjb emwa dgror