Colab install dependencies error

[kwin120]

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]

@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]

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]

Did you find a solution?