NVIDIA / NVIDIA/cuda-quantum

CUDA-Q MPI Submodule yields incorrect results - the `finalize` command does not work

Open
#2,297 2 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

stale-notified
Dominant language
C++
Stars
1.1k
Forks
456
Avg merge
1d 22h
Merged PRs (30d)
165

Description

Required prerequisites
  • Consult the security policy. If reporting a security vulnerability, do not report the bug using this form. Use the process described in the policy to report the issue.
  • Make sure you've read the documentation. Your issue may be addressed there.
  • Search the issue tracker to verify that this hasn't already been reported. +1 or comment there if it has.
  • If possible, make a PR with a failing test to give us a starting point to work on!
Describe the bug
import cudaq 

print('should yield false', cudaq.mpi.is_initialized())

cudaq.mpi.initialize()

print('should yield true', cudaq.mpi.is_initialized())

cudaq.mpi.finalize()

print('should yield false', cudaq.mpi.is_initialized())

should yield false False
should yield true True
should yield false True
Steps to reproduce the bug

NA

Expected behavior

NA

Is this a regression? If it is, put the last known working version (or commit) here.

Not a regression

Environment

NA

Suggestions

No response

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reproducing the provided Python snippet through the cudaq.mpi.initialize(), is_initialized(), and finalize() entry points. Compare the observed state after finalize() with the expected false result, then add coverage for the MPI lifecycle behavior and verify that the test passes.

Written by the indexing model from the issue text.

Assessment

Tech stack
cpp, python
Domain
distributed-systems
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.