[torch_xla2] Enable Background_Matting model by implement `aten::upsample_bilinear2d` #901

	on:
	pull_request:
	branches:
	- master
	- r[0-9]+.[0-9]+
	paths:
	- 'experimental/torch_xla2/**'
	push:
	branches:
	- master
	- r[0-9]+.[0-9]+
	paths:
	- 'experimental/torch_xla2/**'
	workflow_dispatch:

	concurrency:
	group: ${{ github.workflow }}-${{ github.event.pull_request.number \|\| github.sha }}-${{ github.event_name == 'workflow_dispatch' }}-${{ github.event_name == 'schedule' }}
	cancel-in-progress: true

	jobs:
	torchxla2-cpu:
	runs-on: ubuntu-20.04
	strategy:
	matrix:
	python-version: ['3.9', '3.10']
	steps:
	- name: Checkout repo
	uses: actions/checkout@v4
	with:
	sparse-checkout: \|
	experimental/torch_xla2
	- name: Setup Python
	uses: actions/setup-python@v4
	with:
	python-version: ${{ matrix.python-version }}
	- name: Install
	shell: bash
	working-directory: experimental/torch_xla2
	run: \|
	pip install -r test-requirements.txt
	pip install -e .[cpu]
	pip install tensorflow-cpu # for TF integrations tests
	- name: Run tests
	working-directory: experimental/torch_xla2
	shell: bash
	run: \|
	pytest test/
	XLA_FLAGS=--xla_force_host_platform_device_count=4 pytest -n 0 test_dist/

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