t-tech@ubuntu:~/nanoowl/examples$ python3 tree_predict.py \
--prompt="[an owl [a wing, an eye]]" \
--threshold=0.15 \
--image_encoder_engine=../data/owl_image_encoder_patch32.engine
/home/t-tech/.local/lib/python3.10/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: '/home/t-tech/.local/lib/python3.10/site-packages/torchvision/image.so: undefined symbol: _ZN5torch3jit17parseSchemaOrNameERKSs'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source?
warn(
/home/t-tech/.local/lib/python3.10/site-packages/torch/functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /tmp/pytorch/aten/src/ATen/native/TensorShape.cpp:3526.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
Traceback (most recent call last):
File "/home/t-tech/nanoowl/examples/tree_predict.py", line 51, in <module>
output = predictor.predict(
File "/home/t-tech/.local/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/home/t-tech/nanoowl/nanoowl/tree_predictor.py", line 121, in predict
owl_image_encodings[label_index] = self.owl_predictor.encode_rois(image_tensor, boxes[label_index])
File "/home/t-tech/nanoowl/nanoowl/owl_predictor.py", line 267, in encode_rois
roi_images, rois = self.extract_rois(image, rois, pad_square, padding_scale)
File "/home/t-tech/nanoowl/nanoowl/owl_predictor.py", line 257, in extract_rois
roi_images = roi_align(image, [rois], output_size=self.get_image_size())
File "/home/t-tech/.local/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 236, in roi_align
return _roi_align(input, rois, spatial_scale, output_size[0], output_size[1], sampling_ratio, aligned)
File "/home/t-tech/.local/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 168, in _roi_align
val = _bilinear_interpolate(input, roi_batch_ind, y, x, ymask, xmask) # [K, C, PH, PW, IY, IX]
File "/home/t-tech/.local/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 62, in _bilinear_interpolate
v1 = masked_index(y_low, x_low)
File "/home/t-tech/.local/lib/python3.10/site-packages/torchvision/ops/roi_align.py", line 55, in masked_index
return input[
RuntimeError: NVML_SUCCESS == r INTERNAL ASSERT FAILED at "/tmp/pytorch/c10/cuda/CUDACachingAllocator.cpp":1154, please report a bug to PyTorch.
