Cuda invalid configuration argument. Sep 6, 2009 · I’m very new to cuda.

  • Cuda invalid configuration argument. Jan 7, 2020 · 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 CUDA API call to cudaLaunchKernel. Mar 24, 2021 · It could work, if you set this environment variable before importing any other library, which might initialize the CUDA context. jit. As it’s often not straightforward to use it properly in a Jupyter notebook, I usually recommend to run it in a terminal instead. Dec 16, 2018 · Even though 32x32=1024 threads per block, I’m getting the “Invalid configuration error”. 1). This type of error message frequently refers to the launch configuration parameters (grid/threadblock dimensions in this case, could also be shared memory, etc. I have a grid/block dim configuration, and it works for one kernel but doesn’t work for another. 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: Nov 30, 2020 · The PyTorch 1. load because of the new file format. We recommend you to check the below samples links in case of tf-trt integration issues. 4. The problem is only occur in torch-n Dec 1, 2021 · Description I’m using tensorrt to run a mask-rcnn model, and using pytorch to postprocess the result. in other cases). 0 + CUDA 10. when the inference result contains more than 2 bounding boxes, and I print the result, a GPU tensor, it raises an error:“RuntimeError: CUDA error: invalid configuration argument”. A full stacktrace highlights that out_in_map in the call to convert_transposed_out_in_map is simply empty, which pytorch cannot process. Mar 5, 2025 · The issue has likely nothing to do with CUDA, but is an internal bug with hashmap_on_the_fly. Try this: zeros<<<CUDA_GridDimensions,CUDA_BlockDimensions>>>(CUDA_input1, CUDA_output1, input2, input3, input4); The reason it doesn’t work for you is because you are asking for 1024 threads per block in your current call (which exceeds the 512 limit). 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。 Apr 11, 2024 · Hi, I am encountering a strange issue and the error message is “Invalid configuration argument”. _nn. If there is any, the indices need to be fixed. But I can print the tensor after I convert it to cpu. 1 on the V100 system was not able to read the saved tensor gpu_tensor_cpp using torch. Sep 6, 2009 · I’m very new to cuda. Feb 10, 2010 · You are supplying the block and grid arguments to the kernel call in the wrong order. Dec 1, 2021 · # # RuntimeError: CUDA error: invalid configuration argument . 0 with CUDA 10. Accelerating Inference In TF-TRT User Guide :: NVIDIA Deep Learning Jul 3, 2019 · Issue description when it use torch. upsample_nearest2d(input, _output_size(2)), it's comes with RuntimeError: CUDA error: invalid configuration argument. However, the original C++ code runs without problems under this environment (PyTorch 1. My configuration looks like the following: #define WIDTH 640 #define HEIGHT 480 #define NUM_THREADS 16 dim3 blockDim(NUM_THREADS, NUM_THREADS); dim3 gridDim(WIDTH . While the inference result contains less than 2 Mar 1, 2019 · 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. _C. I am currently working on some simple kernels to getting a better knownledge. Let me explain my problem: I have a matrix with independent elements and I want to manipulate each element of the matrix. lzoygr ywmr ngsqx tfigo hcgj zbty pjors ckwwo qkveifq doyxe