The installation of tensorrt-llm for version 0.11.0 failed

[coppock]

System Info

• TensorRT-LLM version: 0.11.0
• Python Version: CPython 3.12.3
• Operating System: Linux 6.8.0-1012-aws
• CPU Architecture: x86_64
• Driver Version: 560.35
• CUDA Version: 12.6

Who can help?

No response

Information

• [x] The official example scripts
• [ ] My own modified scripts

Tasks

• [x] An officially supported task in the examples folder (such as GLUE/SQuAD, ...)
• [ ] My own task or dataset (give details below)

Reproduction

In a new virtual environment, run pip install --extra-index-url https://pypi.nvidia.com tensorrt-llm==0.11.0. This should be supported for the Llama example: https://github.com/NVIDIA/TensorRT-LLM/blob/05316d3313360012536ace46c781518f5afae75e/examples/llama/requirements.txt.

Expected behavior

Install succeeds

actual behavior

Installation fails with the following output:

(.venv) ubuntu$ pip install --extra-index-url https://pypi.nvidia.com tensorrt-llm==0.11.0
Looking in indexes: https://pypi.org/simple, https://pypi.nvidia.com
Collecting tensorrt-llm==0.11.0
  Using cached tensorrt_llm-0.11.0.tar.gz (668 bytes)
  Installing build dependencies ... done
  Getting requirements to build wheel ... done
  Preparing metadata (pyproject.toml) ... error
  error: subprocess-exited-with-error
  
  × Preparing metadata (pyproject.toml) did not run successfully.
  │ exit code: 1
  ╰─> [41 lines of output]
      Traceback (most recent call last):
        File "/srv/lithos/mlos/.venv/lib/python3.12/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 353, in <module>
          main()
        File "/srv/lithos/mlos/.venv/lib/python3.12/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 335, in main
          json_out['return_val'] = hook(**hook_input['kwargs'])
                                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        File "/srv/lithos/mlos/.venv/lib/python3.12/site-packages/pip/_vendor/pyproject_hooks/_in_process/_in_process.py", line 152, in prepare_metadata_for_build_wheel
          whl_basename = backend.build_wheel(metadata_directory, config_settings)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        File "/tmp/pip-build-env-emt_26sd/overlay/lib/python3.12/site-packages/nvidia_stub/buildapi.py", line 29, in build_wheel
          return download_wheel(pathlib.Path(wheel_directory), config_settings)
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        File "/tmp/pip-build-env-emt_26sd/overlay/lib/python3.12/site-packages/nvidia_stub/wheel.py", line 175, in download_wheel
          report_install_failure(distribution, version, None)
        File "/tmp/pip-build-env-emt_26sd/overlay/lib/python3.12/site-packages/nvidia_stub/error.py", line 63, in report_install_failure
          raise InstallFailedError(
      nvidia_stub.error.InstallFailedError:
      *******************************************************************************
      
      The installation of tensorrt-llm for version 0.11.0 failed.
      
      This is a special placeholder package which downloads a real wheel package
      from https://pypi.nvidia.com. If https://pypi.nvidia.com is not reachable, we
      cannot download the real wheel file to install.
      
      You might try installing this package via
      ```
      $ pip install --extra-index-url https://pypi.nvidia.com tensorrt-llm
      ```
      
      Here is some debug information about your platform to include in any bug
      report:
      
      Python Version: CPython 3.12.3
      Operating System: Linux 6.8.0-1012-aws
      CPU Architecture: x86_64
      Driver Version: 560.35
      CUDA Version: 12.6
      
      *******************************************************************************
      
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed

× Encountered error while generating package metadata.
╰─> See above for output.

note: This is an issue with the package mentioned above, not pip.
hint: See above for details.
(.venv) ubuntu$ 

additional notes

Looks similar to #1362