Custom rnn layers for TFT #1660

	name: CI

	on:
	push:
	branches: [main]
	pull_request:
	branches: [main]

	concurrency:
	group: ${{ github.workflow }}-${{ github.ref }}
	cancel-in-progress: true

	jobs:
	run-tests:
	runs-on: ${{ matrix.os }}
	strategy:
	fail-fast: false
	matrix:
	os: [ubuntu-latest, macos-13, windows-latest]
	python-version: ["3.8", "3.9", "3.10", "3.11"]
	exclude:
	- os: windows-latest
	python-version: "3.11"
	env:
	AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID_NIXTLA_TMP }}
	AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY_NIXTLA_TMP }}
	steps:
	- name: Clone repo
	uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2

	- name: Set up environment
	uses: actions/setup-python@0b93645e9fea7318ecaed2b359559ac225c90a2b # 5.3.0
	with:
	python-version: ${{ matrix.python-version }}

	- name: Install pip requirements
	run: >
	pip install uv &&
	uv pip install --system -i https://download.pytorch.org/whl/cpu torch &&
	uv pip install --system "numpy<2" ".[dev]"

	- name: Tests
	run: nbdev_test --do_print --timing --n_workers 0 --flags polars

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