Add GaussianNoise #3215

	name: Prototype tests on Linux

	on:
	pull_request:

	jobs:
	unittests-prototype:
	strategy:
	matrix:
	python-version:
	- "3.8"
	- "3.9"
	- "3.10"
	- "3.11"
	- "3.12"
	runner: ["linux.12xlarge"]
	gpu-arch-type: ["cpu"]
	include:
	- python-version: "3.8"
	runner: linux.g5.4xlarge.nvidia.gpu
	gpu-arch-type: cuda
	gpu-arch-version: "11.8"
	fail-fast: false
	uses: pytorch/test-infra/.github/workflows/linux_job.yml@main
	with:
	repository: pytorch/vision
	runner: ${{ matrix.runner }}
	gpu-arch-type: ${{ matrix.gpu-arch-type }}
	gpu-arch-version: ${{ matrix.gpu-arch-version }}
	timeout: 120
	script: \|
	set -euo pipefail

	export PYTHON_VERSION=${{ matrix.python-version }}
	export GPU_ARCH_TYPE=${{ matrix.gpu-arch-type }}
	export GPU_ARCH_VERSION=${{ matrix.gpu-arch-version }}
	./.github/scripts/setup-env.sh

	# Prepare conda
	CONDA_PATH=$(which conda)
	eval "$(${CONDA_PATH} shell.bash hook)"
	conda activate ci

	echo '::group::Install testing utilities'
	pip install --progress-bar=off pytest pytest-mock pytest-cov
	echo '::endgroup::'

	# We don't want to run the prototype datasets tests. Since the positional glob into `pytest`, i.e.
	# `test/test_prototype*.py` takes the highest priority, neither `--ignore` nor `--ignore-glob` can help us here.
	rm test/test_prototype_datasets*.py
	pytest \
	-v --durations=25 \
	--cov=torchvision/prototype --cov-report=term-missing \
	--junit-xml="${RUNNER_TEST_RESULTS_DIR}/test-results.xml" \
	test/test_prototype_*.py

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