Hi I am a newbie in this field and trying to train SiLK with Kitti odometry dataset.
Thanks for sharing your code!
error i got
File "/usr/local/lib/python3.8/dist-packages/jax/_src/interpreters/pxla.py", line 1349, in __call__
results = self.xla_executable.execute_sharded(input_bufs)
│ │ └ [Array([[[-11.48745345, 23.01827276],
│ │ [-10.5068542 , 22.79328857],
│ │ [ -9.52790215, 22.56868231],
│ │ .....
│ └ <member 'xla_executable' of 'ExecuteReplicated' objects>
└ <jax._src.interpreters.pxla.ExecuteReplicated object at 0x7f9e30308240>
jaxlib.xla_extension.XlaRuntimeError: INVALID_ARGUMENT: Executable expected shape f64[1,21316,2]{2,1,0} for argument 0 but got incompatible shape f64[1,21316,2]{2,0,1}
2024-03-05 07:08:52.388 | ERROR | silk.cli:main:116 - run failed, `*.log` file might be found in : .
What does the {2,1,0} or {2,0,1} mean?
Is f64[1,21316,2] a feature vector?
I tried to put print(~~.shape) in your code but I can't even find it on terminal..
I don't have validation set like explained below.
Is this because of dataset setting?
Help me pls.
dataset setting
Changed odometry dataset into torchvision.datasets.Kitti format like below cause you used torchvision dataset loader for other datasets.
Modified
As you see torchvision.datasets.Kitti has training, testing folder, not validation folder.
environment
I use docker on ubuntu20.04
Docker base image: nvidia/cuda:11.3.1-cudnn8-devel-ubuntu20.04
with no conda
Other packages are installed with required version but...
Some packges below are different from requirements.
I struggled a lot setting environment and it was the first running environment for me.
Hi I am a newbie in this field and trying to train SiLK with Kitti odometry dataset. Thanks for sharing your code!
error i got
What does the {2,1,0} or {2,0,1} mean? Is f64[1,21316,2] a feature vector?
I tried to put print(~~.shape) in your code but I can't even find it on terminal..
I don't have validation set like explained below. Is this because of dataset setting?
Help me pls.
dataset setting
Changed odometry dataset into torchvision.datasets.Kitti format like below cause you used torchvision dataset loader for other datasets.
Modified
As you see torchvision.datasets.Kitti has training, testing folder, not validation folder.
environment
I use docker on ubuntu20.04 Docker base image: nvidia/cuda:11.3.1-cudnn8-devel-ubuntu20.04 with no conda
Other packages are installed with required version but... Some packges below are different from requirements. I struggled a lot setting environment and it was the first running environment for me.
jaxlib-0.4.13+cuda11.cudnn86 torch==2.2.0+cu118 torchvision==0.17.0+cu118