SegFault running the readme example
Ben-Epstein opened this issue · comments
Hey folks, i installed the setup as per the readme, but ran immediately into a segfault when running the inference step.
Code:
from dust3r.inference import inference
from dust3r.model import AsymmetricCroCo3DStereo
from dust3r.utils.image import load_images
from dust3r.image_pairs import make_pairs
from dust3r.cloud_opt import global_aligner, GlobalAlignerMode
device = 'cuda'
batch_size = 1
schedule = 'cosine'
lr = 0.01
niter = 300
model_name = "naver/DUSt3R_ViTLarge_BaseDecoder_512_dpt"
# you can put the path to a local checkpoint in model_name if needed
model = AsymmetricCroCo3DStereo.from_pretrained(model_name).to(device)
# load_images can take a list of images or a directory
images = load_images(['croco/assets/Chateau1.png', 'croco/assets/Chateau2.png'], size=512)
pairs = make_pairs(images, scene_graph='complete', prefilter=None, symmetrize=True)
output = inference(pairs, model, device, batch_size=batch_size) # seg fault hereSome setup details
nvidia-smi
Wed Jun 12 01:00:04 2024
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 525.105.17 Driver Version: 525.105.17 CUDA Version: 12.0 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 NVIDIA L4 Off | 00000000:00:03.0 Off | 0 |
| N/A 64C P0 33W / 72W | 0MiB / 23034MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2022 NVIDIA Corporation
Built on Wed_Sep_21_10:33:58_PDT_2022
Cuda compilation tools, release 11.8, V11.8.89
Build cuda_11.8.r11.8/compiler.31833905_0Pip list below
pip list
Package Version
------------------------- ------------
absl-py 2.1.0
aiofiles 23.2.1
altair 5.3.0
annotated-types 0.7.0
anyio 4.4.0
attrs 23.2.0
certifi 2024.6.2
charset-normalizer 3.3.2
click 8.1.7
contourpy 1.2.1
cycler 0.12.1
dnspython 2.6.1
einops 0.8.0
email_validator 2.1.1
exceptiongroup 1.2.1
fastapi 0.111.0
fastapi-cli 0.0.4
ffmpy 0.3.2
filelock 3.14.0
fonttools 4.53.0
fsspec 2024.6.0
gradio 4.36.1
gradio_client 1.0.1
grpcio 1.64.1
h11 0.14.0
httpcore 1.0.5
httptools 0.6.1
httpx 0.27.0
huggingface-hub 0.23.3
idna 3.7
importlib_resources 6.4.0
Jinja2 3.1.4
jsonschema 4.22.0
jsonschema-specifications 2023.12.1
kiwisolver 1.4.5
Markdown 3.6
markdown-it-py 3.0.0
MarkupSafe 2.1.5
matplotlib 3.9.0
mdurl 0.1.2
mpmath 1.3.0
networkx 3.3
ninja 1.11.1.1
numpy 1.26.4
nvidia-cublas-cu11 11.11.3.6
nvidia-cuda-cupti-cu11 11.8.87
nvidia-cuda-nvrtc-cu11 11.8.89
nvidia-cuda-runtime-cu11 11.8.89
nvidia-cudnn-cu11 8.7.0.84
nvidia-cufft-cu11 10.9.0.58
nvidia-curand-cu11 10.3.0.86
nvidia-cusolver-cu11 11.4.1.48
nvidia-cusparse-cu11 11.7.5.86
nvidia-nccl-cu11 2.20.5
nvidia-nvtx-cu11 11.8.86
opencv-python 4.10.0.82
orjson 3.10.4
packaging 24.1
pandas 2.2.2
pillow 10.3.0
pillow_heif 0.16.0
pip 23.0.1
protobuf 4.25.3
pydantic 2.7.3
pydantic_core 2.18.4
pydub 0.25.1
pyglet 1.5.29
Pygments 2.18.0
pyparsing 3.1.2
python-dateutil 2.9.0.post0
python-dotenv 1.0.1
python-multipart 0.0.9
pytz 2024.1
PyYAML 6.0.1
referencing 0.35.1
requests 2.32.3
rich 13.7.1
roma 1.5.0
rpds-py 0.18.1
ruff 0.4.8
safetensors 0.4.3
scipy 1.13.1
semantic-version 2.10.0
setuptools 65.5.0
shellingham 1.5.4
six 1.16.0
sniffio 1.3.1
starlette 0.37.2
sympy 1.12.1
tensorboard 2.17.0
tensorboard-data-server 0.7.2
tomlkit 0.12.0
toolz 0.12.1
torch 2.3.1+cu118
torchvision 0.18.1+cu118
tqdm 4.66.4
trimesh 4.4.1
triton 2.3.1
typer 0.12.3
typing_extensions 4.12.2
tzdata 2024.1
ujson 5.10.0
urllib3 2.2.1
uvicorn 0.30.1
uvloop 0.19.0
watchfiles 0.22.0
websockets 11.0.3
Werkzeug 3.0.3Any advice would be really appreciated!