Automate the release artifacts build: from release/2.4 branch

[lanluo-nvidia]

Description

Added two github workflows for the automate release artifacts:

• release-linux:
  4 auditwheel repaired wheel (python version: 3.8/3.9/3.10/3.11, cuda version: cu124)
  1 pre-cxx11-abi tarball (python version: 3.10, cuda version: cu124)
  1 cxx11-abi tarball (python version: 3.10, cuda version: cu124)
  Here is the 2.4.0 linux release artifacts: https://github.com/pytorch/TensorRT/actions/runs/9816517467#artifacts

note: 
cxx11-abi tarball build requires glibc to be 2.35, base image pytorch/manylinux-builder:cuda12.4 which has gcc 9.3.1, glibc 2.17, I cannot use this base image to build cxx11-abi tarball
so I used our docker image which has base image: nvidia/cuda:12.4.1-devel-ubuntu22.04
which has gcc 11.4.0, glibc 2.35 to build cxx11-tarball

• release-windows:
  4 wheel file(python version: 3.8/3.9/3.10/3.11, cuda version: cu124)

Here is the 2.4.0 windows release artifacts:
https://github.com/pytorch/TensorRT/actions/runs/9816933636#artifacts

Fixes # (issue)

Type of change

• New feature (non-breaking change which adds functionality)

Checklist:

• My code follows the style guidelines of this project (You can use the linters)
• I have performed a self-review of my own code
• I have commented my code, particularly in hard-to-understand areas and hacks
• I have made corresponding changes to the documentation
• I have added tests to verify my fix or my feature
• New and existing unit tests pass locally with my changes
• I have added the relevant labels to my PR in so that relevant reviewers are notified

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[lanluo-nvidia]

new PR: #2988
is replacing this, closing this one