Add Float8 Weight Only and FP8 weight + dynamic activation #570

	name: Run Float8 Tests

	on:
	push:
	branches:
	- main
	pull_request:
	branches:
	- main

	concurrency:
	group: float8_test-${{ github.workflow }}-${{ github.ref == 'refs/heads/main' && github.run_number \|\| github.ref }}
	cancel-in-progress: true

	env:
	HF_TOKEN: ${{ secrets.HF_TOKEN }}

	jobs:
	test:
	strategy:
	fail-fast: false
	matrix:
	include:
	- name: SM-89
	runs-on: amz2023.linux.g6.4xlarge.experimental.nvidia.gpu
	torch-spec: '--pre torch --index-url https://download.pytorch.org/whl/nightly/cu121'
	gpu-arch-type: "cuda"
	gpu-arch-version: "12.1"

	uses: pytorch/test-infra/.github/workflows/linux_job.yml@main
	with:
	timeout: 60
	runner: ${{ matrix.runs-on }}
	gpu-arch-type: ${{ matrix.gpu-arch-type }}
	gpu-arch-version: ${{ matrix.gpu-arch-version }}
	script: \|
	conda create -n venv python=3.9 -y
	conda activate venv
	echo "::group::Install newer objcopy that supports --set-section-alignment"
	yum install -y devtoolset-10-binutils
	export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
	python -m pip install --upgrade pip
	pip install ${{ matrix.torch-spec }}
	pip install -r dev-requirements.txt
	pip install .
	pytest test/float8 --verbose -s

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