Add FlagGems Integration Test #16

	name: ci-temp-test-model

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

	jobs:
	ci-temp-test-model:
	runs-on: self-hosted
	concurrency:
	group: ci-temp-test-model-${{ github.event.pull_request.number \|\| github.ref }}
	cancel-in-progress: true
	steps:
	- name: Checkout accelerator-integration-wg
	uses: actions/checkout@v4

	- name: Checkout flaggems
	uses: actions/checkout@v4
	with:
	repository: FlagOpen/FlagGems
	path: flag_gems

	- name: Checkout benchmark
	uses: actions/checkout@v4
	with:
	repository: pytorch/benchmark
	path: benchmark

	- name: Install and run benchmark
	shell: bash
	run: \|
	# source tools/run_command.sh
	set -e
	source "/root/miniconda3/etc/profile.d/conda.sh"
	conda init bash
	conda activate new-torchbenchmark
	pip install -e flag_gems/
	sed -i '/self\.worker\.run("import torch")/a\ self.worker.run(\
	"""\
	import flag_gems\
	flag_gems.enable(record=False, once=True, path='"'"'benchmark/oplist.log'"'"')""")' benchmark/torchbenchmark/__init__.py
	python benchmark/install.py models BERT_pytorch dcgan fastNLP_Bert hf_Bert hf_GPT2 hf_T5 resnet50 pytorch_unet
	python benchmark/run_benchmark.py test_bench --accuracy --device cuda --test eval --output output.json --models BERT_pytorch,dcgan,fastNLP_Bert,hf_Bert,hf_GPT2,hf_T5,resnet50,pytorch_unet
	sed -i '/self\.worker\.run($/,/^[[:space:]]flag_gems\.enable.oplist\.log.*""")/d' benchmark/torchbenchmark/__init__.py

Provide feedback