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Thanks for sharing the project. I am trying to run the project in docker. I pulled the image successfully.
docker pull dromni/nerfstudio:0.1.14
However, when I try to run the docker image with the following command:
docker run --gpus all -v /home/songlin/data:/workspace/ -v /home/songlin/.cache:/home/user/.cache/ -p 7007:7007 --rm -it dromni/nerfstudio:0.1.14
I met the error:
==========
== CUDA ==
==========
CUDA Version 11.7.1
Container image Copyright (c) 2016-2022, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
This container image and its contents are governed by the NVIDIA Deep Learning Container License.
By pulling and using the container, you accept the terms and conditions of this license:
https://developer.nvidia.com/ngc/nvidia-deep-learning-container-license
A copy of this license is made available in this container at /NGC-DL-CONTAINER-LICENSE for your convenience.
[13:55:54] 🤷 .zshrc not found, skipping. install.py:210
🔍 Found .bashrc! install.py:212
✔ Wrote new completion to /home/user/nerfstudio/scripts/completions/bash/_ns-install-cli! install.py:117
✔ Wrote new completion to /home/user/nerfstudio/scripts/completions/bash/_ns-dev-test! install.py:117
✔ Wrote new completion to /home/user/nerfstudio/scripts/completions/bash/_ns-process-data! install.py:117
[13:55:55] ✔ Wrote new completion to /home/user/nerfstudio/scripts/completions/bash/_ns-download-data! install.py:117
[13:55:56] ✔ Wrote new completion to /home/user/nerfstudio/scripts/completions/bash/_ns-eval! install.py:117
❌ Completion script generation failed: ['ns-train', '--tyro-print-completion', 'bash'] install.py:107
Matplotlib created a temporary config/cache directory at /tmp/matplotlib-fz54s6k1 because the install.py:111
default path (/home/user/.cache/matplotlib) is not a writable directory; it is highly
recommended to set the MPLCONFIGDIR environment variable to a writable directory, in
particular to speed up the import of Matplotlib and to better support multiprocessing.
Traceback (most recent call last):
File "/home/user/.local/bin/ns-train", line 5, in <module>
from scripts.train import entrypoint
File "/home/user/nerfstudio/scripts/train.py", line 50, in <module>
from nerfstudio.configs.method_configs import AnnotatedBaseConfigUnion
File "/home/user/nerfstudio/nerfstudio/configs/method_configs.py", line 46, in <module>
from nerfstudio.field_components.temporal_distortions import TemporalDistortionKind
File "/home/user/nerfstudio/nerfstudio/field_components/__init__.py", line 17, in <module>
from .encodings import Encoding, ScalingAndOffset
File "/home/user/nerfstudio/nerfstudio/field_components/encodings.py", line 34, in <module>
import tinycudann as tcnn
File "/home/user/.local/lib/python3.10/site-packages/tinycudann/__init__.py", line 9, in
<module>
from tinycudann.modules import free_temporary_memory, NetworkWithInputEncoding, Network,
Encoding
File "/home/user/.local/lib/python3.10/site-packages/tinycudann/modules.py", line 35, in
<module>
raise EnvironmentError(f"Could not find compatible tinycudann extension for compute
capability {system_compute_capability}.")
OSError: Could not find compatible tinycudann extension for compute capability 75.
Traceback (most recent call last):
File "/home/user/.local/bin/ns-install-cli", line 8, in <module>
sys.exit(entrypoint())
File "/home/user/nerfstudio/scripts/completions/install.py", line 282, in entrypoint
tyro.cli(main, description=__doc__)
File "/home/user/.local/lib/python3.10/site-packages/tyro/_cli.py", line 127, in cli
_cli_impl(
File "/home/user/.local/lib/python3.10/site-packages/tyro/_cli.py", line 328, in _cli_impl
out, consumed_keywords = _calling.call_from_args(
File "/home/user/.local/lib/python3.10/site-packages/tyro/_calling.py", line 194, in call_from_args
return unwrapped_f(*args, **kwargs), consumed_keywords # type: ignore
File "/home/user/nerfstudio/scripts/completions/install.py", line 251, in main
completion_paths = list(
File "/usr/lib/python3.10/concurrent/futures/_base.py", line 621, in result_iterator
yield _result_or_cancel(fs.pop())
File "/usr/lib/python3.10/concurrent/futures/_base.py", line 319, in _result_or_cancel
return fut.result(timeout)
File "/usr/lib/python3.10/concurrent/futures/_base.py", line 458, in result
return self.__get_result()
File "/usr/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result
raise self._exception
File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run
result = self.fn(*self.args, **self.kwargs)
File "/home/user/nerfstudio/scripts/completions/install.py", line 253, in <lambda>
lambda path_or_entrypoint_and_shell: _generate_completion(
File "/home/user/nerfstudio/scripts/completions/install.py", line 112, in _generate_completion
raise e
File "/home/user/nerfstudio/scripts/completions/install.py", line 99, in _generate_completion
new = subprocess.run(
File "/usr/lib/python3.10/subprocess.py", line 524, in run
raise CalledProcessError(retcode, process.args,
subprocess.CalledProcessError: Command '['ns-train', '--tyro-print-completion', 'bash']' returned non-zero exit status 1.
✔ Wrote new completion to /home/user/nerfstudio/scripts/completions/bash/_ns-render! install.py:117
Can somebody help?
The text was updated successfully, but these errors were encountered:
I met the issue while installed docker version for sudo docker run --gpus all -v /home/ubuntu/data:/workspace/ -v /home/ubuntu/.cache/:/home/user/.cache/ -p 7007:7007 --rm -it dromni/nerfstudio:0.1.16
Hi There,
Thanks for sharing the project. I am trying to run the project in docker. I pulled the image successfully.
However, when I try to run the docker image with the following command:
I met the error:
Can somebody help?
The text was updated successfully, but these errors were encountered: