Open babbahotep opened 2 years ago
Hi @babbahotep, this error is as a result of shape mismatch. I'd suggest you make sure the shape of both input tensors match, so in place addition can be executed hitch free.
Input is blue iris i have no control over the input. this only happens on esxi docker with vgpu. DS on windows bare metal works fine.
Using Ubuntu Deepstack docker 2022.01.1 on esxi with grid Nvidia GPU. RTX A5000 After sometime Deepstack seems to crash with:
File "/app/intelligencelayer/shared/detection.py", line 81, in run_task det = detector.predict(img_path, threshold) File "/app/intelligencelayer/shared/./process.py", line 63, in predict pred = self.model(img, augment=False)[0] File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1102, in _call_impl return forward_call(*input, *kwargs) File "/app/intelligencelayer/shared/./models/yolo.py", line 149, in forward return self.forward_once(x, profile) # single-scale inference, train File "/app/intelligencelayer/shared/./models/yolo.py", line 176, in forward_once x = m(x) # run File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1102, in _call_impl return forward_call(input, *kwargs) File "/app/intelligencelayer/shared/./models/yolo.py", line 75, in forward y[..., 0:2] 2.0 - 0.5 + self.grid[i].to(x[i].device) RuntimeError: The size of tensor a (32) must match the size of tensor b (40) at non-singleton dimension 2
Anyway increase logging level to get timestamps? Anyone have an idea what’s causing this crash? Any options to catch this and restart deepstack docker instance automatically?