Add Learning Rate Scheduler to neurallamConfig #359

	# cicd workflow for running tests with pytest
	# needs to first install pdm, then install torch cpu manually and then install the package
	# then run the tests

	name: test (pip install, cpu)

	on: [push, pull_request]

	jobs:
	tests:
	runs-on: ubuntu-latest
	steps:
	- name: Checkout
	uses: actions/checkout@v2

	- name: Install torch (CPU)
	run: \|
	# torch version pinned to 2.5.1 for now so that we avoid the
	# downgrade (and then GPU version install) when actually installing
	# neural-lam
	python -m pip install "torch==2.5.1" --index-url https://download.pytorch.org/whl/cpu

	- name: Install package (including dev dependencies)
	run: \|
	python -m pip install ".[dev]"

	- name: Print and check torch version
	run: \|
	python -c "import torch; print(torch.__version__)"
	python -c "import torch; assert torch.__version__.endswith('+cpu')"

	- name: Load cache data
	uses: actions/cache/restore@v4
	with:
	path: tests/datastore_examples/npyfilesmeps/meps_example_reduced.tar.gz
	key: ${{ runner.os }}-meps-reduced-example-data-v0.3.0
	restore-keys: \|
	${{ runner.os }}-meps-reduced-example-data-v0.3.0

	- name: Run tests
	run: \|
	python -m pytest -vv -s

	- name: Save cache data
	uses: actions/cache/save@v4
	with:
	path: tests/datastore_examples/npyfilesmeps/meps_example_reduced.tar.gz
	key: ${{ runner.os }}-meps-reduced-example-data-v0.3.0

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