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Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
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Colab install dependencies error #353

Open kwin120 opened 6 months ago

kwin120 commented 6 months ago

Description

I try the Instant-NGP backbone colab, but when I install the cuda extensions, I got these errors:

Processing ./raymarching Preparing metadata (setup.py) ... done Building wheels for collected packages: raymarching error: subprocess-exited-with-error

× python setup.py bdist_wheel did not run successfully. │ exit code: 1 ╰─> See above for output.

note: This error originates from a subprocess, and is likely not a problem with pip. Building wheel for raymarching (setup.py) ... error ERROR: Failed building wheel for raymarching Running setup.py clean for raymarching Failed to build raymarching ERROR: Could not build wheels for raymarching, which is required to install pyproject.toml-based projects Processing ./shencoder Preparing metadata (setup.py) ... done Building wheels for collected packages: shencoder error: subprocess-exited-with-error

× python setup.py bdist_wheel did not run successfully. │ exit code: 1 ╰─> See above for output.

note: This error originates from a subprocess, and is likely not a problem with pip. Building wheel for shencoder (setup.py) ... error ERROR: Failed building wheel for shencoder Running setup.py clean for shencoder Failed to build shencoder ERROR: Could not build wheels for shencoder, which is required to install pyproject.toml-based projects Processing ./freqencoder Preparing metadata (setup.py) ... done Building wheels for collected packages: freqencoder error: subprocess-exited-with-error

× python setup.py bdist_wheel did not run successfully. │ exit code: 1 ╰─> See above for output.

note: This error originates from a subprocess, and is likely not a problem with pip. Building wheel for freqencoder (setup.py) ... error ERROR: Failed building wheel for freqencoder Running setup.py clean for freqencoder Failed to build freqencoder ERROR: Could not build wheels for freqencoder, which is required to install pyproject.toml-based projects Processing ./gridencoder Preparing metadata (setup.py) ... done Building wheels for collected packages: gridencoder error: subprocess-exited-with-error

× python setup.py bdist_wheel did not run successfully. │ exit code: 1 ╰─> See above for output.

note: This error originates from a subprocess, and is likely not a problem with pip. Building wheel for gridencoder (setup.py) ... error ERROR: Failed building wheel for gridencoder Running setup.py clean for gridencoder Failed to build gridencoder ERROR: Could not build wheels for gridencoder, which is required to install pyproject.toml-based projects

Here is the nvidia-smi:

Thu Mar 14 05:26:11 2024
+---------------------------------------------------------------------------------------+ | NVIDIA-SMI 535.104.05 Driver Version: 535.104.05 CUDA Version: 12.2 | |-----------------------------------------+----------------------+----------------------+ | 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 Tesla T4 Off | 00000000:00:04.0 Off | 0 | | N/A 36C P8 9W / 70W | 0MiB / 15360MiB | 0% Default | | | | N/A | +-----------------------------------------+----------------------+----------------------+

+---------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=======================================================================================| | No running processes found | +---------------------------------------------------------------------------------------+

Steps to Reproduce

  1. Go to https://colab.research.google.com/drive/1MXT3yfOFvO0ooKEfiUUvTKwUkrrlCHpF?usp=sharing
  2. run install dependencies

Expected Behavior

successfully install cuda extensions

Environment

google colab, T4 GPU, python 3

dsidorenkoSU commented 6 months ago

@kwin120 I think it's because you are trying to use CUDA 12. It doesn't work for me as well. And I don't know if there any plans to support CUDA 12 here.

dsidorenkoSU commented 6 months ago

I am grappling with this as well. I am trying to figure out what's wrong with the most recent PyTorch torch-2.4.0.dev20240330+cu121 . If anyone has any tips please share.

RoenTh commented 5 months ago

Did you find a solution?