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feat: Add multi-layer, bidirectional RNN with tanh activation #240

feat: Add multi-layer, bidirectional RNN with tanh activation

feat: Add multi-layer, bidirectional RNN with tanh activation #240

name: integration-tests
on:
push:
branches:
- main
pull_request:
branches:
- main
permissions:
actions: read
jobs:
kornia:
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
target : [ jax, numpy, tensorflow ]
steps:
- name: Checkout Ivy 🛎
uses: actions/checkout@v3
with:
path: ivy
persist-credentials: false
fetch-depth: 100
- name: Install ivy
run: |
cd ivy
sudo pip3 install -e .
- name: Run Tests
id: tests
run: |
pip3 install kornia
cd ivy
docker run --rm -v "$(pwd)":/ivy -v "$(pwd)"/.hypothesis:/.hypothesis ivyllc/ivy:latest scripts/shell/run_integration_tests.sh kornia ${{ matrix.target }} ${{ secrets.IVY_API_KEY }}
continue-on-error: true
- name: Check on failures
if: steps.tests.outcome != 'success'
run: exit 1