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Add mean reciprocal rank (MRR) computation in KGEModel (#8298) #1

Add mean reciprocal rank (MRR) computation in KGEModel (#8298)

Add mean reciprocal rank (MRR) computation in KGEModel (#8298) #1

name: Testing PyTorch nightly
on: # yamllint disable-line rule:truthy
push:
branches:
- master
pull_request:
jobs:
latest_pytest:
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@v4
with:
fetch-depth: 40
# Skip workflow if only certain files have been changed.
- name: Get changed files
id: changed-files-specific
uses: tj-actions/changed-files@v34
with:
files: |
benchmark/**
conda/**
docker/**
docs/**
examples/**
graphgym/**
README.md
CHANGELOG.md
- name: Setup packages
if: steps.changed-files-specific.outputs.only_changed != 'true'
uses: ./.github/actions/setup
with:
torch-version: nightly
- name: Install main package
if: steps.changed-files-specific.outputs.only_changed != 'true'
run: |
pip install -e .[full,test]
- name: Run tests
if: steps.changed-files-specific.outputs.only_changed != 'true'
run: |
pytest