OK [KeOps] error: cuModuleLoadDataEx(&module, target, 0, NULL, NULL) failed with error CUDA_ERROR_INVALID_IMAGE Traceback (most recent call last): File "<string>", line 1, in <module> File "/root/miniconda3/envs/test/lib/python3.8/site-packages/pykeops/torch/test_install.py", ...
cuda_error_invalid_source 表示设备内核镜像无效。 cuda_error_invalid_source 是CUDA 运行时 API 调用时可能遇到的一个错误代码,表示设备内核镜像无效。这个错误通常发生在尝试加载或执行一个不兼容或损坏的设备内核时。以下是一些可能导致这个错误的原因和解决方法: 内核编译不兼容: 确保你的 CUDA 内核代码是为当前...
File "cupy_backends/cuda/api/driver.pyx", line 60, in cupy_backends.cuda.api.driver.check_status cupy_backends.cuda.api.driver.CUDADriverError: CUDA_ERROR_INVALID_SOURCE: device kernel image is invalid The result of nvidia-smi +---+ | NVIDIA-SMI 535.129.03 Driver Version: 535.129.03 CUDA...
RuntimeError: CUDA error: device kernel image is invalid 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. Segmentation fault (core dumped) 解決方法 方法一: 使用 CPU 執行任...
Describe the bug I was unable to get sparse attention to run on my machine. When using sparse attention, Triton throws either IndexError: map::at when using Triton 1.0.0 or CUDA: Error- invalid image on the latest version, Triton 1.1.1. ...
() File "/home/ezyang/local/b/pytorch-env/lib/python3.10/site-packages/triton/compiler/compiler.py", line 376, in _init_handles self.module, self.function, self.n_regs, self.n_spills = driver.active.utils.load_binary( RuntimeError: Triton Error [CUDA]: device kernel image is invalid ...
in memory_stats stats = memory_stats_as_nested_dict(device=device) File "C:\sd\stable-diffusion-webui-amdgpu\venv\lib\site-packages\torch\cuda\memory.py", line 270, in memory_stats_as_nested_dict return torch._C._cuda_memoryStats(device) RuntimeError: invalid argument to memory_allocated...