feat(tools/deploy.py): support snpe

.github/workflows/backend-ncnn.yml

@@ -1,4 +1,4 @@
-name: backend
+name: backend-ncnn
 
 on:
   push:
@@ -23,7 +23,6 @@ jobs:
       matrix:
         python-version: [3.7]
         torch: [1.9.0]
-        mmcv: [1.4.2]
         include:
           - torch: 1.9.0
             torch_version: torch1.9

.github/workflows/backend-snpe.yml

@@ -0,0 +1,60 @@
+name: backend-snpe
+
+on:
+  push:
+    paths-ignore:
+      - "demo/**"
+      - "tools/**"
+
+  pull_request:
+    paths-ignore:
+      - "demo/**"
+      - "tools/**"
+      - "docs/**"
+
+concurrency:
+  group: ${{ github.workflow }}-${{ github.ref }}
+  cancel-in-progress: true
+
+jobs:
+  build_sdk_demo:
+    runs-on: ubuntu-18.04
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v3
+        with:
+          submodules: 'recursive'
+      - name: update
+        run: sudo apt update
+      - name: Install dependencies
+        run: |
+          sudo apt install wget libprotobuf-dev protobuf-compiler
+          sudo apt update
+          sudo apt install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libxrender-dev libc++1-9 libc++abi1-9
+          sudo add-apt-repository ppa:ignaciovizzo/opencv3-nonfree
+          sudo apt install libopencv-dev
+          pkg-config --libs opencv
+      - name: Install snpe
+        run: |
+          wget https://media.githubusercontent.com/media/tpoisonooo/mmdeploy_snpe_testdata/main/snpe-1.59.tar.gz
+          tar xf snpe-1.59.tar.gz
+          pushd snpe-1.59.0.3230
+          pwd
+          popd
+      - name: Build SDK Demo with SNPE backend
+        run: |
+          mkdir -p build && pushd build
+          export SNPE_ROOT=/home/runner/work/mmdeploy/mmdeploy/snpe-1.59.0.3230
+          export LD_LIBRARY_PATH=${SNPE_ROOT}/lib/x86_64-linux-clang:${LD_LIBRARY_PATH}
+          export MMDEPLOY_SNPE_X86_CI=1
+          cmake .. -DCMAKE_CXX_COMPILER=g++-7    -DMMDEPLOY_SHARED_LIBS=ON   -DMMDEPLOY_BUILD_SDK=ON       -DMMDEPLOY_BUILD_SDK_PYTHON_API=OFF  -DMMDEPLOY_TARGET_DEVICES=cpu       -DMMDEPLOY_TARGET_BACKENDS=snpe  -DMMDEPLOY_CODEBASES=all
+          make -j2
+          make install
+          pushd install/example
+          mkdir build && pushd build
+          cmake ..   -DMMDeploy_DIR=${PWD}/../../lib/cmake/MMDeploy
+          make -j2
+          ls ./*
+          popd
+          popd
+          popd

.gitignore

@@ -152,3 +152,7 @@ bin/
 mmdeploy/backend/ncnn/onnx2ncnn
 
 /mmdeploy-*
+
+# snpe
+grpc-cpp-plugin
+service/snpe/grpc_cpp_plugin

.pre-commit-config.yaml

@@ -3,6 +3,7 @@ repos:
     rev: 4.0.1
     hooks:
       - id: flake8
+        args: ["--exclude=*/client/inference_pb2.py,*/client/inference_pb2_grpc.py"]
   - repo: https://github.com/PyCQA/isort
     rev: 5.10.1
     hooks:

CMakeLists.txt

@@ -113,6 +113,7 @@ if (MMDEPLOY_BUILD_SDK)
     if (NOT MMDEPLOY_SHARED_LIBS)
         mmdeploy_add_deps(pplnn BACKENDS ${MMDEPLOY_TARGET_BACKENDS} DEPS pplnn)
     endif ()
+    mmdeploy_add_deps(snpe BACKENDS ${MMDEPLOY_TARGET_BACKENDS} DEPS snpe)
 
     include(CMakePackageConfigHelpers)
     # generate the config file that is includes the exports

README.md

@@ -55,9 +55,9 @@ The currently supported codebases and models are as follows, and more will be in
 
 Models can be exported and run in the following backends, and more will be compatible
 
-| ONNX Runtime | TensorRT | ppl.nn | ncnn | OpenVINO | LibTorch | more                                           |
-| ------------ | -------- | ------ | ---- | -------- | -------- | ---------------------------------------------- |
-| ✔️           | ✔️       | ✔️     | ✔️   | ✔️       | ✔️       | [benchmark](docs/en/03-benchmark/benchmark.md) |
+| ONNX Runtime | TensorRT | ppl.nn | ncnn | OpenVINO | LibTorch | snpe | more                                           |
+| ------------ | -------- | ------ | ---- | -------- | -------- | ---- | ---------------------------------------------- |
+| ✔️           | ✔️       | ✔️     | ✔️   | ✔️       | ✔️       | ✔️   | [benchmark](docs/en/03-benchmark/benchmark.md) |
 
 ### Efficient and scalable C/C++ SDK Framework
 
@@ -73,6 +73,7 @@ Please read [getting_started.md](docs/en/get_started.md) for the basic usage of
   - [Build for Win10](docs/en/01-how-to-build/windows.md)
   - [Build for Android](docs/en/01-how-to-build/android.md)
   - [Build for Jetson](docs/en/01-how-to-build/jetsons.md)
+  - [Build for SNPE](docs/en/01-how-to-build/snpe.md)
 - User Guide
   - [How to convert model](docs/en/02-how-to-run/convert_model.md)
   - [How to write config](docs/en/02-how-to-run/write_config.md)

README_zh-CN.md

@@ -53,9 +53,9 @@ MMDeploy 是 [OpenMMLab](https://openmmlab.com/) 模型部署工具箱，**为
 
 ### 支持多种推理后端
 
-| ONNX Runtime | TensorRT | ppl.nn | ncnn | OpenVINO | more                                              |
-| ------------ | -------- | ------ | ---- | -------- | ------------------------------------------------- |
-| ✔️           | ✔️       | ✔️     | ✔️   | ✔️       | [benchmark](docs/zh_cn/03-benchmark/benchmark.md) |
+| ONNX Runtime | TensorRT | ppl.nn | ncnn | OpenVINO | LibTorch | snpe | more                                              |
+| ------------ | -------- | ------ | ---- | -------- | -------- | ---- | ------------------------------------------------- |
+| ✔️           | ✔️       | ✔️     | ✔️   | ✔️       | ✔️       | ✔️   | [benchmark](docs/zh_cn/03-benchmark/benchmark.md) |
 
 ### SDK 可高度定制化
 
@@ -71,6 +71,7 @@ MMDeploy 是 [OpenMMLab](https://openmmlab.com/) 模型部署工具箱，**为
   - [Build for Win10](docs/zh_cn/01-how-to-build/windows.md)
   - [Build for Android](docs/zh_cn/01-how-to-build/android.md)
   - [Build for Jetson](docs/en/01-how-to-build/jetsons.md)
+  - [Build for SNPE](docs/zh_cn/01-how-to-build/snpe.md)
 - 使用
   - [把模型转换到推理 Backend](docs/zh_cn/02-how-to-run/convert_model.md)
   - [配置转换参数](docs/zh_cn/02-how-to-run/write_config.md)

configs/_base_/backends/snpe.py

@@ -0,0 +1 @@
+backend_config = dict(type='snpe')

configs/mmcls/classification_snpe_static.py

@@ -0,0 +1,3 @@
+_base_ = ['./classification_static.py', '../_base_/backends/snpe.py']
+
+onnx_config = dict(input_shape=None)

configs/mmedit/super-resolution/super-resolution_snpe_static-256x256.py

@@ -0,0 +1,2 @@
+_base_ = ['./super-resolution_static.py', '../../_base_/backends/snpe.py']
+onnx_config = dict(input_shape=[256, 256])

configs/mmocr/text-detection/text-detection_snpe_static.py

@@ -0,0 +1,3 @@
+_base_ = ['./text-detection_static.py', '../../_base_/backends/snpe.py']
+
+onnx_config = dict(input_shape=None)

configs/mmpose/pose-detection_snpe_static-256x256.py

@@ -0,0 +1,3 @@
+_base_ = ['./pose-detection_static.py', '../_base_/backends/snpe.py']
+
+onnx_config = dict(input_shape=[256, 256])

configs/mmseg/segmentation_snpe_static-512x1024.py

@@ -0,0 +1,3 @@
+_base_ = ['./segmentation_static.py', '../_base_/backends/snpe.py']
+
+onnx_config = dict(input_shape=[1024, 512])

csrc/mmdeploy/net/CMakeLists.txt

@@ -22,5 +22,9 @@ if ("openvino" IN_LIST MMDEPLOY_TARGET_BACKENDS)
     add_subdirectory(openvino)
 endif ()
 
+if ("snpe" IN_LIST MMDEPLOY_TARGET_BACKENDS)
+    add_subdirectory(snpe)
+endif ()
+
 mmdeploy_add_module(${PROJECT_NAME} net_module.cpp)
 add_library(mmdeploy::net_module ALIAS ${PROJECT_NAME})

csrc/mmdeploy/net/snpe/CMakeLists.txt

@@ -0,0 +1,25 @@
+# Copyright (c) OpenMMLab. All rights reserved.
+
+project(mmdeploy_snpe_net)
+
+add_library(snpe SHARED IMPORTED)
+
+if(NOT DEFINED ENV{MMDEPLOY_SNPE_X86_CI})
+  set(sub_dir "aarch64-android-clang6.0")
+else()
+  set(sub_dir "x86_64-linux-clang")
+endif()
+
+if (NOT EXISTS $ENV{SNPE_ROOT}/lib/${sub_dir}/)
+  message(ERROR "SNPE_ROOT directory not exist:  $ENV{SNPE_ROOT}/lib/${sub_dir}/")
+endif()
+message(STATUS "SNPE lib directory $ENV{SNPE_ROOT}/lib/${sub_dir}/")
+
+set_target_properties(snpe PROPERTIES
+  IMPORTED_LOCATION "$ENV{SNPE_ROOT}/lib/${sub_dir}/libSNPE.so"
+  INTERFACE_INCLUDE_DIRECTORIES "$ENV{SNPE_ROOT}/include/zdl"
+)
+
+mmdeploy_add_module(${PROJECT_NAME} snpe_net.cpp)
+target_link_libraries(${PROJECT_NAME} PRIVATE snpe)
+add_library(mmdeploy::snpe_net ALIAS ${PROJECT_NAME})