Add test cases for samsung enn backend in ci

Currently, support to delegate to EnnBackend for several models.
Enable basic float model like ic3, resnet, etc.

Co-authored-by: chong-chen <[email protected]>

Author: chong-chen01

.ci/scripts/setup-samsung-linux-deps.sh

@@ -0,0 +1,42 @@
+#!/bin/bash
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# Copyright (c) Samsung Electronics Co. LTD
+# All rights reserved.
+#
+# This source code is licensed under the BSD-style license found in the
+# LICENSE file in the root directory of this source tree.
+
+set -ex
+
+
+download_ai_lite_core() {
+  AI_LITE_CORE_VERSION=$1
+  _exynos_ai_lite_core_url="https://ko.ai-studio-farm.com:26310/api/v1/buckets/lite-core/objects/download?prefix=05/ubuntu2204/exynos-ai-litecore-v0.5.0,tar.gz"
+
+  _exynos_lite_core_dir=/tmp/exynos_ai_lite_core
+  mkdir -p ${_exynos_lite_core_dir}
+
+  _tmp_archive="/tmp/exynos-ai-litecore-v0.5.0.tar.gz"
+
+  curl --silent --show-error --location --fail --retry 3 \
+    --output "${_tmp_archive}" "${_exynos_ai_lite_core_url}"
+
+  tar -C "${_exynos_lite_core_dir}" --strip-components=1 -xzvf "${_tmp_archive}"
+
+  export EXYNOS_AI_LITECORE_ROOT=${_exynos_lite_core_dir}
+  export LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:${EXYNOS_AI_LITECORE_ROOT}/lib/x86_64-linux
+}
+
+install_enn_backend() {
+  # Please export ANDROID_NDK_ROOT if enable on-device test
+  export EXECUTORCH_ROOT="$(cd -- "$(dirname -- "${BASH_SOURCE[0]}")/../.." && pwd)"
+
+  # Remove --build and add --ndk parameter if enable on-device test
+  bash backends/samsung/build.sh --build x86_64
+  export PYTHONPATH=${PYTHONPATH}:${EXECUTORCH_ROOT}/..
+}
+
+AI_LITE_CORE_VERSION=0.5.0
+
+download_ai_lite_core ${AI_LITE_CORE_VERSION}
+install_enn_backend

.github/workflows/pull.yml

@@ -864,6 +864,38 @@ jobs:
         PYTHON_EXECUTABLE=python bash examples/nxp/run_aot_example.sh
 
 
+  test-samsung-models-linux:
+    name: test-samsung-models-linux
+    uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
+    permissions:
+      id-token: write
+      contents: read
+    with:
+      runner: linux.2xlarge
+      docker-image: ci-image:executorch-ubuntu-22.04-clang12
+      submodules: 'recursive'
+      ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.sha || github.sha }}
+      timeout: 90
+      script: |
+        set -eux
+
+        # The generic Linux job chooses to use base env, not the one setup by the image
+        CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
+        conda activate "${CONDA_ENV}"
+
+        # Setup python
+        PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "cmake"
+
+        # Setup Samsung SDK (AI Lite Core) and install enn backend
+        source .ci/scripts/setup-samsung-linux-deps.sh
+
+        # Test models serially
+        models="mv2 ic3 resnet18 resnet50"
+        for model in $models; do
+          python -m executorch.examples.samsung.aot_compiler --model_name=$model -c E9955
+        done
+
+
   test-vulkan-models-linux:
     name: test-vulkan-models-linux
     uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main