Added custom semantic segmentation trainer tutorial #246

	name: tutorials
	on:
	push:
	branches:
	- main
	paths:
	- docs/tutorials/**
	pull_request:
	branches:
	- main
	paths:
	- docs/tutorials/**
	defaults:
	run:
	shell: bash
	jobs:
	notebooks:
	name: notebooks
	runs-on: ubuntu-latest
	steps:
	- name: Clone repo
	uses: actions/[email protected]
	- name: Set up python
	uses: actions/[email protected]
	with:
	python-version: '3.12'
	- name: Cache dependencies
	uses: actions/[email protected]
	id: cache
	with:
	path: ${{ env.pythonLocation }}
	key: ${{ env.pythonLocation }}-${{ hashFiles('requirements/required.txt') }}-${{ hashFiles('requirements/docs.txt') }}-${{ hashFiles('requirements/tests.txt') }}-tutorials
	- name: Install pip dependencies
	if: steps.cache.outputs.cache-hit != 'true'
	run: \|
	pip install -r requirements/required.txt -r requirements/docs.txt -r requirements/tests.txt planetary_computer pystac tensorboard .
	pip cache purge
	- name: List pip dependencies
	run: pip list
	- name: Run notebook checks
	run: pytest --nbmake --durations=10 docs/tutorials
	concurrency:
	group: ${{ github.workflow }}-${{ github.event.pull_request.head.label \|\| github.head_ref \|\| github.ref }}
	cancel-in-progress: true

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