microsoft/nni

nnictl experiment delete -all fail for stopped expriment

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#4,543 opened on Feb 11, 2022

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 (2 comments) (1 reaction) (1 assignee)Python (13,504 stars) (1,830 forks)batch import
good first issue

Description

Describe the issue: nnictl experiment delete -all fail for stop expriment. comment out https://github.com/microsoft/nni/blob/master/nni/tools/nnictl/nnictl_utils.py#L509 may solve this problem.

Environment: linux

  • NNI version: 2.6
  • Training service (local|remote|pai|aml|etc): local
  • Client OS: centos
  • Server OS (for remote mode only):
  • Python version: 3.7
  • PyTorch/TensorFlow version: NA
  • Is conda/virtualenv/venv used?: yes
  • Is running in Docker?: no

Configuration:

  • Experiment config (remember to remove secrets!):
  • Search space:

Log message: bash output: INFO: This action will delete experiment 74ujrqym, and it's not recoverable.
INFO: do you want to continue?[y/N]:y ERROR: There is no experiment running. ERROR: Please set correct experiment id.

How to reproduce it?:

Contributor guide

Tech stack
python
Domain
backend
Issue type
bug
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
2
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
under 1 hour
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
mostly clear
Prerequisites
basic Pythonfamiliarity with nnictl
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
80
Research direction
The issue suggests that nnictl experiment delete all fails for stopped experiments. The recommended fix is to comment out line 509 in nni/tools/nnictl/nnictl utils.py which likely contains a guard that checks for a running experiment. A contributor should examine the logic around that line to ensure that deleting all experiments, including stopped ones, works correctly. There are no linked pull requests or recent comments, so this is an open task with a straightforward starting point.