CUDA error: no kernel image is available for execution on the device

[angelandy]

start extracting 3DMM...: 0%| | 0/189 [00:00<?, ?it/s]create rasterizer on device cuda:0 start extracting 3DMM...: 0%| | 0/189 [00:00<?, ?it/s] Traceback (most recent call last): File "data_gen/nerf/extract_3dmm.py", line 112, in process_video(video_fname, out_fname, skip_tmp=False) File "data_gen/nerf/extract_3dmm.py", line 75, in process_video coeff, align_img = face_reconstructor.recon_coeff(batched_images, batched_lm5, return_image = True) File "/opt/conda/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context return func(*args, **kwargs) File "/data/GeneFace/deep_3drecon/reconstructor.py", line 79, in recon_coeff self.model.forward() File "/data/GeneFace/deep_3drecon/deep_3drecon_models/facerecon_model.py", line 139, in forward self.pred_mask, _, self.pred_face = self.renderer( File "/opt/conda/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1131, in _call_impl return forward_call(*input, **kwargs) File "/data/GeneFace/deep_3drecon/util/mesh_renderer.py", line 105, in forward fragments = self.rasterizer(mesh, cameras = cameras, raster_settings = raster_settings) File "/opt/conda/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1131, in _call_impl return forward_call(*input, **kwargs) File "/opt/conda/lib/python3.8/site-packages/pytorch3d/renderer/mesh/rasterizer.py", line 252, in forward pix_to_face, zbuf, bary_coords, dists = rasterize_meshes( File "/opt/conda/lib/python3.8/site-packages/pytorch3d/renderer/mesh/rasterize_meshes.py", line 223, in rasterize_meshes pix_to_face, zbuf, barycentric_coords, dists = _RasterizeFaceVerts.apply( File "/opt/conda/lib/python3.8/site-packages/pytorch3d/renderer/mesh/rasterize_meshes.py", line 297, in forward pix_to_face, zbuf, barycentric_coords, dists = _C.rasterize_meshes( RuntimeError: CUDA error: no kernel image is available for execution on the device 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.

这个是什么错误？是我显卡不够显存吗。驱动什么的都没有问题

[fjesikfjdskl]

你好请问解决了吗