Installation fails
Nobody has claimed this yet.
Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 45/100
- Issue type
- Bug
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- python
- Domain
- build-system
Research direction
Start by reproducing the failure with pip install -r requirements.txt on macOS 15.6.1 and inspect requirements.txt at line 33, where nvidia-tensorrt is declared. Check whether the dependency installation path works with the NVIDIA Python Package Index; done means the documented requirements install completes successfully on the reported platform.
Written by the indexing model from the issue text.
Description
Running pip install -r requirements.txt fails with On MacOS 15.6.1
Collecting nvidia-tensorrt (from -r requirements.txt (line 33))
Downloading nvidia-tensorrt-0.0.1.dev5.tar.gz (7.9 kB)
Preparing metadata (setup.py) ... error
error: subprocess-exited-with-error
× python setup.py egg_info did not run successfully.
│ exit code: 1
╰─> [17 lines of output]
Traceback (most recent call last):
File "<string>", line 2, in <module>
File "<pip-setuptools-caller>", line 35, in <module>
File "/private/var/folders/n5/r286gm554g9cq693jqzqx0l00000gn/T/pip-install-cf7r4n6u/nvidia-tensorrt_8acfd97ed2da4afd87e3295beb6d3e4e/setup.py", line 150, in <module>
raise RuntimeError(open("ERROR.txt", "r").read())
RuntimeError:
###########################################################################################
The package you are trying to install is only a placeholder project on PyPI.org repository.
This package is hosted on NVIDIA Python Package Index.
This package can be installed as:
```
$ pip install nvidia-pyindex
$ pip install nvidia-tensorrt
Almost the same output when I run pip install nvidia-tensorrt
- Dominant language
- Python
- Stars
- 2.3k
- Forks
- 254
- PR merge metrics
- No merged PRs in 30d
Contributor guide
No contributing guide indexed for this repository
First steps
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- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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