!8172 【轻量级 PR】：update RELEASE.md.

Merge pull request !8172 from shenwei41/N/A

README.md

@@ -66,10 +66,12 @@ MindSpore offers build options across multiple backends:
 | Hardware Platform | Operating System | Status |
 | :---------------- | :--------------- | :----- |
 | Ascend910 | Ubuntu-x86 | ✔️ |
+|  | Ubuntu-aarch64 | ✔️ |
 |  | EulerOS-x86 | ✔️ |
 |  | EulerOS-aarch64 | ✔️ |
 | GPU CUDA 10.1 | Ubuntu-x86 | ✔️ |
 | CPU | Ubuntu-x86 | ✔️ |
+|  | Ubuntu-aarch64 | ✔️ |
 |  | Windows-x86 | ✔️ |
 
 For installation using `pip`, take `CPU` and `Ubuntu-x86` build version as an example:
@@ -149,7 +151,23 @@ currently the containerized build options are supported as follows:
     sudo apt-get update && sudo apt-get install -y nvidia-container-toolkit nvidia-docker2
     sudo systemctl restart docker
     ```
-
+    Then edit the file daemon.json:
+    ```
+    $ vim /etc/docker/daemon.json
+    {
+        "runtimes": {
+            "nvidia": {
+                "path": "nvidia-container-runtime",
+                "runtimeArgs": []
+            }
+        }
+    }
+    ```
+    Restart docker again:
+    ```
+    sudo systemctl daemon-reload
+    sudo systemctl restart docker
+    ```
     Then you can pull and run the latest stable image using the below command:
     ```
     docker pull mindspore/mindspore-gpu:0.7.0-beta

README_CN.md

@@ -1,4 +1,4 @@
-![MindSpore标志](docs/MindSpore-logo.png "MindSpore logo")
+![MindSpore标志](docs/MindSpore-logo.png "MindSpore logo")
 ============================================================
 
 [View English](./README.md)
@@ -66,10 +66,12 @@ MindSpore提供跨多个后端的构建选项：
 | 硬件平台          | 操作系统            | 状态   |
 | :------------ | :-------------- | :--- |
 | Ascend 910    | Ubuntu-x86      | ✔️   |
+|               | Ubuntu-aarch64  | ✔️   |
 |               | EulerOS-x86     | ✔️   |
 |               | EulerOS-aarch64 | ✔️   |
 | GPU CUDA 10.1 | Ubuntu-x86      | ✔️   |
 | CPU           | Ubuntu-x86      | ✔️   |
+|               | Ubuntu-aarch64  | ✔️   |
 |               | Windows-x86     | ✔️   |
 
 使用`pip`命令安装，以`CPU`和`Ubuntu-x86`build版本为例：
@@ -120,10 +122,10 @@ MindSpore的Docker镜像托管在[Docker Hub](https://hub.docker.com/r/mindspore
 | 硬件平台   | Docker镜像仓库                | 标签                       | 说明                                       |
 | :----- | :------------------------ | :----------------------- | :--------------------------------------- |
 | CPU    | `mindspore/mindspore-cpu` | `x.y.z`                  | 已经预安装MindSpore `x.y.z` CPU版本的生产环境。       |
-|        |                           | `devel`                  | 提供开发环境从源头构建MindSpore（`CPU`后端）。安装详情请参考https://www.mindspore.cn/install。 |
+|        |                           | `devel`                  | 提供开发环境从源头构建MindSpore（`CPU`后端）。安装详情请参考https://www.mindspore.cn/install 。 |
 |        |                           | `runtime`                | 提供运行时环境安装MindSpore二进制包（`CPU`后端）。         |
 | GPU    | `mindspore/mindspore-gpu` | `x.y.z`                  | 已经预安装MindSpore `x.y.z` GPU版本的生产环境。       |
-|        |                           | `devel`                  | 提供开发环境从源头构建MindSpore（`GPU CUDA10.1`后端）。安装详情请参考https://www.mindspore.cn/install。 |
+|        |                           | `devel`                  | 提供开发环境从源头构建MindSpore（`GPU CUDA10.1`后端）。安装详情请参考https://www.mindspore.cn/install 。 |
 |        |                           | `runtime`                | 提供运行时环境安装MindSpore二进制包（`GPU CUDA10.1`后端）。 |
 | Ascend | <center>&mdash;</center>  | <center>&mdash;</center> | 即将推出，敬请期待。                               |
 
@@ -148,7 +150,23 @@ MindSpore的Docker镜像托管在[Docker Hub](https://hub.docker.com/r/mindspore
     sudo apt-get update && sudo apt-get install -y nvidia-container-toolkit nvidia-docker2
     sudo systemctl restart docker
     ```
-
+    编辑文件 daemon.json:
+    ```
+    $ vim /etc/docker/daemon.json
+    {
+        "runtimes": {
+            "nvidia": {
+                "path": "nvidia-container-runtime",
+                "runtimeArgs": []
+            }
+        }
+    }
+    ```
+    再次重启docker:
+    ```
+    sudo systemctl daemon-reload
+    sudo systemctl restart docker
+    ```
     使用以下命令获取并运行最新的稳定镜像：
     ```
     docker pull mindspore/mindspore-gpu:0.7.0-beta

Third_Party_Open_Source_Software_Notice

@@ -3693,6 +3693,72 @@ Copyright (c) 1999, Frank Warmerdam
 Copyright (c) 1991-1996 Sam Leffler
 Copyright (c) 1996 USAF Phillips Laboratory
 
+Software: libevent 2.1.12
+Copyright notice:
+Copyright (C) 1998 - 2012, Daniel Stenberg, <daniel@haxx.se>, et al.
+COPYRIGHT AND PERMISSION NOTICE
+Copyright (c) 1996 - 2013, Daniel Stenberg, <daniel@haxx.se>.
+Copyright (C) 2012, iSEC Partners.
+Copyright (c) 1987, 1993, 1994, 1995
+Copyright (c) 1987, 1993, 1994, 1996
+Copyright 2002 Niels Provos <provos@citi.umich.edu>
+Copyright (c) 2007-2012 Niels Provos and Nick Mathewson
+Copyright (c) 2000-2007 Niels Provos <provos@citi.umich.edu>
+Copyright (c) 2007-2012 Niels Provos, Nick Mathewson
+Copyright (c) 2009-2012 Niels Provos and Nick Mathewson
+Copyright (c) 2006-2007 Niels Provos <provos@citi.umich.edu>
+Copyright (c) 2008-2012 Niels Provos and Nick Mathewson
+Copyright (c) 1991, 1993
+Copyright (c) 2009, Michihiro NAKAJIMA
+Copyright 2000-2013 Kitware, Inc.
+Copyright 2000-2011 Insight Software Consortium
+notices of original copyright by their contributors; see each source
+Copyright (C) 1996-2018 Free Software Foundation, Inc.
+Copyright (c) 2010 Chris Davis, Niels Provos, and Nick Mathewson
+Copyright (c) 2010-2012 Niels Provos and Nick Mathewson
+Copyright (c) 1996, David Mazieres <dm@uun.org>
+Copyright (c) 2008, Damien Miller <djm@openbsd.org>
+Copyright (c) 2002-2007 Niels Provos <provos@citi.umich.edu>
+Copyright (c) 2002-2006 Niels Provos <provos@citi.umich.edu>
+Copyright (c) 2009-2012 Niels Provos, Nick Mathewson
+Copyright 2000-2009 Niels Provos <provos@citi.umich.edu>
+Copyright 2009-2012 Niels Provos and Nick Mathewson
+Copyright 2000-2007 Niels Provos <provos@citi.umich.edu>
+Copyright 2007-2012 Niels Provos, Nick Mathewson
+Copyright 2003-2009 Niels Provos <provos@citi.umich.edu>
+Copyright 2006-2007 Niels Provos
+Copyright 2007-2012 Nick Mathewson and Niels Provos
+Copyright (c) 2005-2007 Niels Provos <provos@citi.umich.edu>
+Copyright (c) 2003-2009 Niels Provos <provos@citi.umich.edu>
+Copyright 2007-2012 Niels Provos and Nick Mathewson
+Copyright (c) 2007 Sun Microsystems. All rights reserved.
+Copyright (c) 2008-2012 Niels Provos, Nick Mathewson
+Copyright 2002 Christopher Clark
+Copyright 2005-2012 Nick Mathewson
+Copyright 2001-2007 Niels Provos <provos@citi.umich.edu>
+Copyright (c) 2012 Niels Provos and Nick Mathewson
+Copyright (c) 2000 Dug Song <dugsong@monkey.org>
+Copyright (c) 1993 The Regents of the University of California.
+Copyright (c) 1998 Todd C. Miller <Todd.Miller@courtesan.com>
+Copyright (c) 2003 Michael A. Davis <mike@datanerds.net>
+Copyright (c) 2007 Sun Microsystems
+Copyright (c) 2002 Christopher Clark
+Copyright (c) 2006 Maxim Yegorushkin <maxim.yegorushkin@gmail.com>
+Copyright (c) 2010 BitTorrent, Inc.
+Copyright (c) 2005-2012 Niels Provos and Nick Mathewson
+Copyright (c) 1993
+Copyright 2003 Michael A. Davis <mike@datanerds.net>
+Copyright 2003-2007 Niels Provos <provos@citi.umich.edu>
+Copyright 2008-2012 Niels Provos and Nick Mathewson
+Copyright (c) 2003-2007 Niels Provos <provos@citi.umich.edu>
+Copyright (c) 2013 Niels Provos and Nick Mathewson
+Copyright (c) 2009-2012 Nick Mathewson and Niels Provos
+Copyright (c) 2007-2013 Niels Provos and Nick Mathewson
+Copyright (c) 2012 Ross Lagerwall <rosslagerwall@gmail.com>
+tinytest.c -- Copyright 2009-2012 Nick Mathewson
+tinytest.h -- Copyright 2009-2012 Nick Mathewson
+tinytestmacros.h -- Copyright 2009-2012 Nick Mathewson
+
 Software: opencv 4.2.0
 Copyright notice:
 Copyright (C) 2016, NVIDIA Corporation, all rights reserved.

akg

@@ -1 +1 @@
-Subproject commit 3bb6264188d0b1d6ff776a35a571bc7190df0800
+Subproject commit 76a1ecf9da48fa463e25ad63c26281fb5867874d

build.bat

@@ -16,20 +16,20 @@
 @title mindspore_build
 
 SET BASEPATH=%CD%
-IF NOT EXIST %BASEPATH%/build (
+IF NOT EXIST "%BASEPATH%/build" (
     md "build"
 )
 
 cd %BASEPATH%/build
 set BUILD_PATH=%CD%
 
-IF NOT EXIST %BUILD_PATH%/mindspore (
+IF NOT EXIST "%BUILD_PATH%/mindspore" (
     md "mindspore"
 )
 
 cd %CD%/mindspore
 
-IF "%2%" == "lite" (
+IF "%1%" == "lite" (
     call :gene_gtest
     call :run_cmake
     IF errorlevel 1 (
@@ -47,14 +47,17 @@ IF "%2%" == "lite" (
     )
 
     cd %BUILD_PATH%/mindspore
-    IF "%1%" == "" (
-        cmake --build . -- -j6
+    IF "%2%" == "" (
+        cmake --build . --target package -- -j6
     ) ELSE (
-        cmake --build . -- -j%1%
+        cmake --build . --target package -- -j%2%
     )
     IF errorlevel 1 (
         echo "build fail."
         goto run_fail
+    ) ELSE (
+        cd %BASEPATH%/output
+        rd /s /q _CPack_Packages
     )
 ) ELSE (
     cmake -DCMAKE_BUILD_TYPE=Release -DENABLE_CPU=ON -DENABLE_MINDDATA=ON -DUSE_GLOG=ON ^
@@ -83,7 +86,7 @@ goto run_eof
     cd %BUILD_PATH%/mindspore
     cmake -DBUILD_DEVICE=on -DBUILD_CONVERTER=on -DPLATFORM_ARM64=off -DSUPPORT_TRAIN=off ^
     -DCMAKE_BUILD_TYPE=Release -DSUPPORT_GPU=off -DBUILD_MINDDATA=off -DOFFLINE_COMPILE=off ^
-    -G "CodeBlocks - MinGW Makefiles" %BASEPATH%/mindspore/lite
+    -G "CodeBlocks - MinGW Makefiles" "%BASEPATH%/mindspore/lite"
 GOTO:EOF
 
 :gene_gtest
@@ -94,31 +97,31 @@ GOTO:EOF
 GOTO:EOF
 
 :gene_protobuf
-    SET PROTOC=%BASEPATH%/build/mindspore/_deps/protobuf-src/_build/protoc
+    SET PROTOC="%BASEPATH%/build/mindspore/_deps/protobuf-src/_build/protoc"
 
-    SET PROTO_SRC_DIR=%BASEPATH%/mindspore/lite/tools/converter/parser/caffe
+    SET PROTO_SRC_DIR="%BASEPATH%/mindspore/lite/tools/converter/parser/caffe"
     cd %PROTO_SRC_DIR%
     %PROTOC% *.proto --proto_path=%PROTO_SRC_DIR% --cpp_out=%PROTO_SRC_DIR%
 
-    SET PROTO_SRC_DIR=%BASEPATH%/mindspore/lite/tools/converter/parser/onnx
+    SET PROTO_SRC_DIR="%BASEPATH%/mindspore/lite/tools/converter/parser/onnx"
     cd %PROTO_SRC_DIR%
     %PROTOC% *.proto --proto_path=%PROTO_SRC_DIR% --cpp_out=%PROTO_SRC_DIR%
     cd %BUILD_PATH%/mindspore
 GOTO:EOF
 
 :gene_flatbuffer
-    SET FLATC=%BASEPATH%/build/mindspore/_deps/flatbuffers-src/_build/flatc
+    SET FLATC="%BASEPATH%/build/mindspore/_deps/flatbuffers-src/_build/flatc"
     SET FLAT_DIR=%BASEPATH%/mindspore/lite/schema
     cd %FLAT_DIR%
     IF EXIST inner rd /s /q inner
     md inner
 
     %FLATC% -c -b *.fbs
-    %FLATC% -c -b --reflect-types --gen-mutable --reflect-names --gen-object-api -o %FLAT_DIR%/inner *.fbs
+    %FLATC% -c -b --reflect-types --gen-mutable --reflect-names --gen-object-api -o "%FLAT_DIR%/inner" *.fbs
 
     SET FLAT_DIR=%BASEPATH%/mindspore/lite/tools/converter/parser/tflite
     cd %FLAT_DIR%
-    %FLATC% -c -b --reflect-types --gen-mutable --reflect-names --gen-object-api -o %FLAT_DIR% *.fbs
+    %FLATC% -c -b --reflect-types --gen-mutable --reflect-names --gen-object-api -o "%FLAT_DIR%" *.fbs
     cd %BUILD_PATH%/mindspore
 GOTO:EOF
 

build.sh

@@ -53,7 +53,7 @@ usage()
   echo "    -n Compile minddata lite"
   echo "    -M Enable MPI and NCCL for GPU training, gpu default on"
   echo "    -V Specify the minimum required cuda version, default CUDA 10.1"
-  echo "    -I Compile lite"
+  echo "    -I Enable compiling mindspore lite for arm64, arm32 or x86_64, default disable mindspore lite compiling"
   echo "    -K Compile with AKG, default on"
   echo "    -s Enable serving module, default off"
   echo "    -w Enable acl module, default off"
@@ -393,7 +393,7 @@ build_mindspore()
       CMAKE_VERBOSE="--verbose"
     fi
     cmake --build . --target package ${CMAKE_VERBOSE} -j$THREAD_NUM
-    echo "success to build mindspore project!"
+    echo "success building mindspore project!"
 }
 
 checkndk() {
@@ -618,10 +618,12 @@ build_lite()
 
     if [[ "${COMPILE_RET}" -ne 0 ]]; then
         echo "---------------- mindspore lite: build failed ----------------"
+        exit 1
     else
         mv ${BASEPATH}/output/tmp/*.tar.gz* ${BASEPATH}/output/
         rm -rf ${BASEPATH}/output/tmp/
         echo "---------------- mindspore lite: build success ----------------"
+        exit 0
     fi
 }
 

cmake/external_libs/icu4c.cmake

@@ -8,7 +8,7 @@ else()
             VER 67.1
             LIBS ${LIB_ICU_COMMON} ${LIB_ICU_DATA} ${LIB_ICU_I18N}
             URL https://github.com/unicode-org/icu/archive/release-67-1.tar.gz
-            MD5 0c2662a2b0bc80b0eb56495205247c8f
+            MD5 fd525fb47d8827b0b7da78b51dd2d93f
             CONFIGURE_COMMAND ${CMAKE_SOURCE_DIR}/scripts/build_icu4c.sh
             )
     include_directories(${icu4c_INC})

cmake/package_lite.cmake

@@ -1,13 +1,18 @@
 include(CMakePackageConfigHelpers)
 
-set(LIB_DIR ${MAIN_DIR}/lib)
-set(INC_DIR ${MAIN_DIR}/include)
-set(TURBO_DIR ${MAIN_DIR}/third_party/libjpeg-turbo)
-set(OPENCV_DIR ${MAIN_DIR}/third_party/opencv)
-set(PROTOBF_DIR ${MAIN_DIR}/third_party/protobuf)
-set(FLATBF_DIR ${MAIN_DIR}/third_party/flatbuffers)
+set(LIB_DIR ${MAIN_DIR}-${COMPONENT_NAME}/lib)
+set(INC_DIR ${MAIN_DIR}-${COMPONENT_NAME}/include)
+set(TURBO_DIR ${MAIN_DIR}-${COMPONENT_NAME}/third_party/libjpeg-turbo)
+set(OPENCV_DIR ${MAIN_DIR}-${COMPONENT_NAME}/third_party/opencv)
+set(PROTOBF_DIR ${MAIN_DIR}-${COMPONENT_NAME}/third_party/protobuf)
+set(FLATBF_DIR ${MAIN_DIR}-${COMPONENT_NAME}/third_party/flatbuffers)
 
-install(FILES ${TOP_DIR}/mindspore/lite/build/src/libmindspore-lite.so DESTINATION ${LIB_DIR} COMPONENT ${COMPONENT_NAME})
+set(LIB_DIR_RUN_X86 ${MAIN_DIR}-${RUN_X86_COMPONENT_NAME}/lib)
+set(INC_DIR_RUN_X86 ${MAIN_DIR}-${RUN_X86_COMPONENT_NAME}/include)
+set(TURBO_DIR_RUN_X86 ${MAIN_DIR}-${RUN_X86_COMPONENT_NAME}/third_party/libjpeg-turbo)
+set(OPENCV_DIR_RUN_X86 ${MAIN_DIR}-${RUN_X86_COMPONENT_NAME}/third_party/opencv)
+set(PROTOBF_DIR_RUN_X86 ${MAIN_DIR}-${RUN_X86_COMPONENT_NAME}/third_party/protobuf)
+set(FLATBF_DIR_RUN_X86 ${MAIN_DIR}-${RUN_X86_COMPONENT_NAME}/third_party/flatbuffers)
 if (BUILD_MINDDATA)
     install(DIRECTORY ${TOP_DIR}/mindspore/ccsrc/minddata/dataset/include/ DESTINATION ${INC_DIR} COMPONENT ${COMPONENT_NAME} FILES_MATCHING PATTERN "*.h")
  	install(FILES ${TOP_DIR}/mindspore/lite/build/minddata/libminddata-lite.so DESTINATION ${LIB_DIR} COMPONENT ${COMPONENT_NAME})
@@ -30,25 +35,52 @@ if (BUILD_MINDDATA)
 endif ()
 
 if (PLATFORM_ARM64)
+    install(FILES ${TOP_DIR}/mindspore/lite/build/src/libmindspore-lite.so DESTINATION ${LIB_DIR} COMPONENT ${COMPONENT_NAME})
     install(FILES ${TOP_DIR}/mindspore/core/ir/dtype/type_id.h DESTINATION ${INC_DIR}/ir/dtype COMPONENT ${COMPONENT_NAME})
     install(DIRECTORY ${TOP_DIR}/mindspore/lite/include/ DESTINATION ${INC_DIR} COMPONENT ${COMPONENT_NAME} FILES_MATCHING PATTERN "*.h")
     install(DIRECTORY ${TOP_DIR}/mindspore/lite/schema/ DESTINATION ${INC_DIR}/schema COMPONENT ${COMPONENT_NAME} FILES_MATCHING PATTERN "*.h" PATTERN "inner" EXCLUDE)
-    install(FILES ${TOP_DIR}/mindspore/lite/build/src/runtime/kernel/arm/nnacl/liboptimize.so DESTINATION ${LIB_DIR} COMPONENT ${COMPONENT_NAME})
+    install(FILES ${TOP_DIR}/mindspore/lite/build/nnacl/liboptimize.so DESTINATION ${LIB_DIR} COMPONENT ${COMPONENT_NAME})
     install(DIRECTORY ${TOP_DIR}/third_party/flatbuffers/include DESTINATION ${FLATBF_DIR} COMPONENT ${COMPONENT_NAME})
 elseif (PLATFORM_ARM32)
+    install(FILES ${TOP_DIR}/mindspore/lite/build/src/libmindspore-lite.so DESTINATION ${LIB_DIR} COMPONENT ${COMPONENT_NAME})
     install(FILES ${TOP_DIR}/mindspore/core/ir/dtype/type_id.h DESTINATION ${INC_DIR}/ir/dtype COMPONENT ${COMPONENT_NAME})
     install(DIRECTORY ${TOP_DIR}/mindspore/lite/include/ DESTINATION ${INC_DIR} COMPONENT ${COMPONENT_NAME} FILES_MATCHING PATTERN "*.h")
     install(DIRECTORY ${TOP_DIR}/mindspore/lite/schema/ DESTINATION ${INC_DIR}/schema COMPONENT ${COMPONENT_NAME} FILES_MATCHING PATTERN "*.h" PATTERN "inner" EXCLUDE)
     install(DIRECTORY ${TOP_DIR}/third_party/flatbuffers/include DESTINATION ${FLATBF_DIR} COMPONENT ${COMPONENT_NAME})
+elseif (CMAKE_SYSTEM_NAME MATCHES "Windows")
+    get_filename_component(CXX_DIR ${CMAKE_CXX_COMPILER} PATH)
+    file(GLOB LIB_LIST ${CXX_DIR}/libstdc++-6.dll ${CXX_DIR}/libwinpthread-1.dll ${CXX_DIR}/libssp-0.dll ${CXX_DIR}/libgcc_s_seh-1.dll)
+    install(FILES ${TOP_DIR}/build/mindspore/tools/converter/converter_lite.exe DESTINATION ${TOP_DIR}/build/mindspore/package COMPONENT ${COMPONENT_NAME})
+    install(FILES ${LIB_LIST} DESTINATION ${TOP_DIR}/build/mindspore/package COMPONENT ${COMPONENT_NAME})
+    install(FILES ${TOP_DIR}/build/mindspore/tools/converter/libconverter_parser.a DESTINATION ${TOP_DIR}/build/mindspore/package COMPONENT ${PARSER_NAME})
 else ()
-    install(FILES ${TOP_DIR}/third_party/protobuf/build/lib/libprotobuf.so.19.0.0 DESTINATION ${PROTOBF_DIR}/lib RENAME libprotobuf.so.19 COMPONENT ${COMPONENT_NAME})
+    install(DIRECTORY ${TOP_DIR}/mindspore/lite/include/ DESTINATION ${INC_DIR_RUN_X86} COMPONENT ${RUN_X86_COMPONENT_NAME} FILES_MATCHING PATTERN "*.h")
+    install(DIRECTORY ${TOP_DIR}/mindspore/lite/schema/ DESTINATION ${INC_DIR_RUN_X86}/schema COMPONENT ${RUN_X86_COMPONENT_NAME} FILES_MATCHING PATTERN "*.h" PATTERN "inner" EXCLUDE)
+    install(FILES ${TOP_DIR}/mindspore/core/ir/dtype/type_id.h DESTINATION ${INC_DIR_RUN_X86}/ir/dtype COMPONENT ${RUN_X86_COMPONENT_NAME})
+    install(DIRECTORY ${TOP_DIR}/third_party/flatbuffers/include DESTINATION ${FLATBF_DIR_RUN_X86} COMPONENT ${RUN_X86_COMPONENT_NAME})
+    install(FILES ${TOP_DIR}/mindspore/lite/build/src/libmindspore-lite.so DESTINATION ${LIB_DIR_RUN_X86} COMPONENT ${RUN_X86_COMPONENT_NAME})
 
+    install(FILES ${TOP_DIR}/third_party/protobuf/build/lib/libprotobuf.so.19.0.0 DESTINATION ${PROTOBF_DIR}/lib RENAME libprotobuf.so.19 COMPONENT ${COMPONENT_NAME})
 endif ()
 
-set(CPACK_GENERATOR TGZ)
+if (CMAKE_SYSTEM_NAME MATCHES "Windows")
+    set(CPACK_GENERATOR ZIP)
+else ()
+    set(CPACK_GENERATOR TGZ)
+endif ()
 set(CPACK_ARCHIVE_COMPONENT_INSTALL ON)
-set(CPACK_COMPONENTS_ALL ${COMPONENT_NAME})
+if (PLATFORM_ARM64 OR PLATFORM_ARM32)
+    set(CPACK_COMPONENTS_ALL ${COMPONENT_NAME})
+elseif (WIN32)
+    set(CPACK_COMPONENTS_ALL ${COMPONENT_NAME})
+else ()
+    set(CPACK_COMPONENTS_ALL ${COMPONENT_NAME} ${RUN_X86_COMPONENT_NAME})
+endif ()
 set(CPACK_PACKAGE_FILE_NAME ${MAIN_DIR})
-set(CPACK_PACKAGE_DIRECTORY ${TOP_DIR}/output/tmp)
+if (WIN32)
+    set(CPACK_PACKAGE_DIRECTORY ${TOP_DIR}/output)
+else ()
+    set(CPACK_PACKAGE_DIRECTORY ${TOP_DIR}/output/tmp)
+endif()
 set(CPACK_PACKAGE_CHECKSUM SHA256)
 include(CPack)

docker/mindspore-cpu/devel/Dockerfile

@@ -6,6 +6,7 @@ MAINTAINER leonwanghui <leon.wanghui@huawei.com>
 ENV PYTHON_ROOT_PATH /usr/local/python-3.7.5
 ENV CMAKE_ROOT_PATH /usr/local/cmake-3.14.1
 ENV PATH ${PYTHON_ROOT_PATH}/bin:${CMAKE_ROOT_PATH}/bin:/usr/local/bin:$PATH
+ENV LD_LIBRARY_PATH ${PYTHON_ROOT_PATH}/lib
 
 # Install base tools
 RUN apt update \
@@ -48,7 +49,7 @@ RUN apt install -y libffi-dev libssl-dev zlib1g-dev libbz2-dev libncurses5-dev \
     && tar -xvf v3.7.5.tar.gz \
     && cd /tmp/cpython-3.7.5 \
     && mkdir -p ${PYTHON_ROOT_PATH} \
-    && ./configure --prefix=${PYTHON_ROOT_PATH} \
+    && ./configure --prefix=${PYTHON_ROOT_PATH} --enable-shared \
     && make -j4 \
     && make install -j4 \
     && rm -f /usr/local/bin/python \

docker/mindspore-gpu/0.7.0-beta/Dockerfile

@@ -1,4 +1,4 @@
-FROM nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04
+FROM nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04
 
 MAINTAINER leonwanghui <leon.wanghui@huawei.com>
 
@@ -35,9 +35,7 @@ RUN DEBIAN_FRONTEND=noninteractive apt install -y \
     autoconf \
     libtool \
     automake \
-    flex \
-    libnccl2=2.4.8-1+cuda10.1 \
-    libnccl-dev=2.4.8-1+cuda10.1
+    flex
 
 # Set bash
 RUN echo "dash dash/sh boolean false" | debconf-set-selections

docker/mindspore-gpu/devel/Dockerfile

@@ -6,6 +6,7 @@ MAINTAINER leonwanghui <leon.wanghui@huawei.com>
 ENV PYTHON_ROOT_PATH /usr/local/python-3.7.5
 ENV CMAKE_ROOT_PATH /usr/local/cmake-3.14.1
 ENV PATH ${CMAKE_ROOT_PATH}/bin:/usr/local/bin:$PATH
+ENV LD_LIBRARY_PATH ${PYTHON_ROOT_PATH}/lib
 
 # Install base tools
 RUN apt update \
@@ -51,7 +52,7 @@ RUN apt install -y libffi-dev libssl-dev zlib1g-dev libbz2-dev libncurses5-dev \
     && tar -xvf v3.7.5.tar.gz \
     && cd /tmp/cpython-3.7.5 \
     && mkdir -p ${PYTHON_ROOT_PATH} \
-    && ./configure --prefix=${PYTHON_ROOT_PATH} \
+    && ./configure --prefix=${PYTHON_ROOT_PATH} --enable-shared \
     && make -j4 \
     && make install -j4 \
     && rm -f /usr/local/bin/python \

docker/mindspore-gpu/runtime/Dockerfile

@@ -1,4 +1,4 @@
-FROM nvidia/cuda:10.1-cudnn7-runtime-ubuntu18.04
+FROM nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04
 
 MAINTAINER leonwanghui <leon.wanghui@huawei.com>
 
@@ -35,9 +35,7 @@ RUN DEBIAN_FRONTEND=noninteractive apt install -y \
     autoconf \
     libtool \
     automake \
-    flex \
-    libnccl2=2.4.8-1+cuda10.1 \
-    libnccl-dev=2.4.8-1+cuda10.1
+    flex
 
 # Set bash
 RUN echo "dash dash/sh boolean false" | debconf-set-selections

graphengine

@@ -1 +1 @@
-Subproject commit 622af6c1c50034bea5a08bd409c5a410782bfe53
+Subproject commit 80f9c96ed3fe0f07bf40a91d1f41373681d0c0dc

include/infer_log.h

@@ -24,6 +24,7 @@
 #include <memory>
 #include <iostream>
 #include <chrono>
+#include <vector>
 
 #ifndef ENABLE_ACL
 #include "mindspore/core/utils/log_adapter.h"
@@ -44,6 +45,19 @@ class LogStream {
     return *this;
   }
 
+  template <typename T>
+  LogStream &operator<<(const std::vector<T> &val) noexcept {
+    (*sstream_) << "[";
+    for (size_t i = 0; i < val.size(); i++) {
+      (*this) << val[i];
+      if (i + 1 < val.size()) {
+        (*sstream_) << ", ";
+      }
+    }
+    (*sstream_) << "]";
+    return *this;
+  }
+
   LogStream &operator<<(std::ostream &func(std::ostream &os)) noexcept {
     (*sstream_) << func;
     return *this;

mindspore/_extends/parallel_compile/tbe_compiler/compiler.py

@@ -17,8 +17,6 @@ import json
 import os
 import sys
 from te.platform.cce_conf import te_set_version
-from te.platform.fusion_manager import op_build_cfg_dis, op_build_cfg_en, set_current_op_name, \
-    init_op_pattern, set_op_params, set_op_build_type, get_op_pattern, set_current_op_func_name
 from te.platform.fusion_util import fusion_op
 from common import check_kernel_info, get_args, get_build_in_impl_path, get_ddk_version
 
@@ -27,7 +25,6 @@ build_in_impl_path = get_build_in_impl_path()
 
 # op function list
 op_build = "compile"
-op_pre_build = "pre_build"
 fusion_pattern_start_flag = "fusion_pattern_start"
 fusion_pattern_end_flag = "fusion_pattern_end"
 
@@ -83,19 +80,7 @@ def build_op(build_type, json_str):
         else:
             op_module = __import__("impl."+op_name, globals(), locals(), [op_name], 0)
         # get function
-        if build_type == op_pre_build:
-            # set op parameter
-            op_build_cfg_dis()
-            set_current_op_func_name(op_name)
-            set_current_op_name(kernel_name)
-            init_op_pattern()
-            set_op_params(*outputs_args, *attrs_args, kernel_name=kernel_name)
-            set_op_build_type('prebuild')
-            if custom_flag:
-                py_fn_name = kernel_info['op_info']['name']
-            else:
-                py_fn_name = op_name
-        elif build_type == op_build:
+        if build_type == op_build:
             if custom_flag:
                 py_fn_name = kernel_info['op_info']['name']
             else:
@@ -106,13 +91,6 @@ def build_op(build_type, json_str):
         if op_func is None:
             raise ValueError("Op:{} function {} is not supported by Tbe.".format(op_name, build_type))
 
-        # pre build
-        if build_type == op_pre_build:
-            op_func(*inputs_args, *outputs_args, *attrs_args, kernel_name=kernel_name)
-            # disable only pattern configuration
-            op_build_cfg_en()
-            return get_op_pattern()
-
         # call function
         if kernel_name[0:19] == "bounding_box_encode":
             return op_func(*inputs_args, *outputs_args, *attrs_args, kernel_name_val=kernel_name)
@@ -120,8 +98,6 @@ def build_op(build_type, json_str):
         return op_func(*inputs_args, *outputs_args, *attrs_args, kernel_name=kernel_name)
 
     except Exception as e:
-        if build_type == op_pre_build:
-            op_build_cfg_en()
         raise RuntimeError(e)
 
 
@@ -136,14 +112,9 @@ def compile_fusion_op(json_str):
         Exception: If specific keyword is not found.
     """
     args = json.loads(json_str)
+    te_set_version(ddk_version)
     if 'fusion_op' not in args or not args['fusion_op']:
         raise ValueError("Json string Errors, key:fusion_op not found.")
-    if 'prebuild_ops' not in args or not args['prebuild_ops']:
-        raise ValueError("Json string Errors, key:prebuild_ops not found.")
-
-    pre_build_op_list = args['prebuild_ops']
-    for op in pre_build_op_list:
-        build_op(op_pre_build, json.dumps(op))
     fusion_op_arg = args['fusion_op']
     return fusion_op(json.dumps(fusion_op_arg))
 
@@ -159,8 +130,6 @@ def compile_with_json(json_str):
     json_info = json.loads(json_str)
     if "fusion_op" in json_info:
         ret = compile_fusion_op(json_str)
-    elif "compile_type" in json_info:
-        ret = build_op(op_pre_build, json_str)
     else:
         ret = build_op(op_build, json_str)
     return ret

mindspore/ccsrc/backend/kernel_compiler/aicpu/aicpu_kernel_build.cc

@@ -20,6 +20,8 @@
 #include <vector>
 #include <memory>
 #include <algorithm>
+#include <map>
+#include <climits>
 #include "runtime/device/kernel_runtime.h"
 #include "backend/kernel_compiler/aicpu/aicpu_kernel_mod.h"
 #include "backend/kernel_compiler/akg/akg_kernel_build.h"
@@ -218,7 +220,7 @@ void SetNodeInputs(const std::shared_ptr<AnfNode> &anf_node, mindspore::NodeDef
       mindspore::TensorShape_Dim *dim = tensorShape->add_dim();
       dim->set_size((::google::protobuf::int64)item);
     }
-    node_inputs->set_tensor_type((mindspore::DataType)input_data_type);
+    node_inputs->set_tensor_type(input_data_type);
     node_inputs->set_mem_device("HBM");
   }
 }
@@ -245,7 +247,7 @@ void SetNodeOutputs(const std::shared_ptr<AnfNode> &anf_node, mindspore::NodeDef
     }
     TypeId output_type = AnfAlgo::GetOutputDeviceDataType(anf_node, output_index);
     int32_t output_data_type = AicpuOpUtil::MsTypeToProtoType(output_type);
-    node_outputs->set_tensor_type((mindspore::DataType)output_data_type);
+    node_outputs->set_tensor_type(output_data_type);
     node_outputs->set_mem_device("HBM");
   }
 }
@@ -287,6 +289,109 @@ bool CreateNodeDefBytes(const std::shared_ptr<AnfNode> &anf_node,
   return true;
 }
 
+bool CreateExtInfo(const std::shared_ptr<AnfNode> &anf_node, const std::shared_ptr<AicpuOpKernelMod> &kernel_mod_ptr) {
+  if (!anf_node->isa<CNode>()) {
+    return true;
+  }
+
+  if (!AnfAlgo::IsDynamicShape(anf_node)) {
+    return true;
+  }
+
+  MS_LOG(INFO) << "CreateExtInfo start, " << anf_node->fullname_with_scope();
+
+  int32_t unknown_shape_type = UnknowShapeOpType::DEPEND_COMPUTE;
+  uint64_t ext_info_head_len = kExtInfoHeadSize;
+  std::string ext_info;
+  size_t input_num = AnfAlgo::GetInputTensorNum(anf_node);
+  size_t output_num = AnfAlgo::GetOutputTensorNum(anf_node);
+
+  // 1.addr:unknown shape type
+  uint64_t ext_info_len = ext_info.size();
+  ext_info_len += ext_info_head_len + sizeof(int32_t);
+
+  // 2.addr:input ShapeAndType
+  ext_info_len += ext_info_head_len + input_num * sizeof(ShapeAndType);
+
+  // 3.addr:output ShapeAndType
+  ext_info_len += ext_info_head_len + output_num * sizeof(ShapeAndType);
+
+  uint64_t ext_info_offset = ext_info.size();
+  ext_info.resize(ext_info_len, 0);
+  char *ext_info_buf = ext_info.data();
+
+  // deal1: unknown shape type
+  ExtInfo *info = reinterpret_cast<ExtInfo *>(ext_info_buf + ext_info_offset);
+  info->infoType = FWK_ADPT_EXT_SHAPE_TYPE;
+  info->infoLen = sizeof(int32_t);
+  ext_info_offset += ext_info_head_len;
+  int32_t *shape_type = reinterpret_cast<int32_t *>(ext_info_buf + ext_info_offset);
+  *shape_type = unknown_shape_type;
+  ext_info_offset += info->infoLen;
+
+  // deal2:input ShapeAndType
+  info = reinterpret_cast<ExtInfo *>(ext_info_buf + ext_info_offset);
+  info->infoType = FWK_ADPT_EXT_INPUT_SHAPE;
+  info->infoLen = input_num * sizeof(ShapeAndType);
+  ext_info_offset += ext_info_head_len;
+
+  ShapeAndType *inputs = reinterpret_cast<ShapeAndType *>(ext_info_buf + ext_info_offset);
+  for (size_t input_index = 0; input_index < input_num; input_index++) {
+    TypeId input_type = AnfAlgo::GetInputDeviceDataType(anf_node, input_index);
+    std::vector<size_t> input_shape;
+    int32_t input_data_type;
+    if (input_type == kObjectTypeString) {
+      auto cnode = anf_node->cast<CNodePtr>();
+      MS_EXCEPTION_IF_NULL(cnode);
+      auto input_node = cnode->inputs()[input_index + 1];
+      auto value_ptr = GetValueNode(input_node);
+      auto value = GetValue<std::string>(value_ptr);
+      input_shape.push_back(1);
+      input_shape.push_back(value.size());
+      input_data_type = AicpuOpUtil::MsTypeToProtoType(kTypeUnknown);
+    } else {
+      input_shape = AnfAlgo::GetInputDeviceShape(anf_node, input_index);
+      input_data_type = AicpuOpUtil::MsTypeToProtoType(input_type);
+    }
+    inputs[input_index].type = input_data_type;
+
+    size_t input_shape_index = 0;
+    for (; input_shape_index < input_shape.size(); input_shape_index++) {
+      inputs[input_index].dims[input_shape_index] = SizeToLong(input_shape[input_shape_index]);
+    }
+    if (input_shape.size() < kMaxShapeDims) {
+      inputs[input_index].dims[input_shape_index] = LLONG_MIN;
+    }
+  }
+  ext_info_offset += info->infoLen;
+
+  // deal3:output ShapeAndType
+  info = reinterpret_cast<ExtInfo *>(ext_info_buf + ext_info_offset);
+  info->infoType = FWK_ADPT_EXT_OUTPUT_SHAPE;
+  info->infoLen = output_num * sizeof(ShapeAndType);
+  ext_info_offset += ext_info_head_len;
+
+  ShapeAndType *outputs = reinterpret_cast<ShapeAndType *>(ext_info_buf + ext_info_offset);
+  for (size_t output_index = 0; output_index < output_num; output_index++) {
+    std::vector<size_t> output_shape = AnfAlgo::GetOutputDeviceShape(anf_node, output_index);
+    TypeId output_type = AnfAlgo::GetOutputDeviceDataType(anf_node, output_index);
+    int32_t output_data_type = AicpuOpUtil::MsTypeToProtoType(output_type);
+    outputs[output_index].type = output_data_type;
+
+    size_t output_shape_index = 0;
+    for (; output_shape_index < output_shape.size(); output_shape_index++) {
+      outputs[output_index].dims[output_shape_index] = SizeToLong(output_shape[output_shape_index]);
+    }
+    if (output_shape_index < kMaxShapeDims) {
+      outputs[output_index].dims[output_shape_index] = LLONG_MIN;
+    }
+  }
+
+  // set ext info
+  kernel_mod_ptr->SetExtInfo(ext_info);
+  return true;
+}
+
 KernelModPtr AicpuOpBuild(const std::shared_ptr<AnfNode> &anf_node) {
   MS_EXCEPTION_IF_NULL(anf_node);
   std::string op_name = AnfAlgo::GetCNodeName(anf_node);
@@ -300,6 +405,11 @@ KernelModPtr AicpuOpBuild(const std::shared_ptr<AnfNode> &anf_node) {
   if (!CreateNodeDefBytes(anf_node, kernel_mod_ptr)) {
     MS_LOG(EXCEPTION) << "Create nodeDefBytes faild!";
   }
+
+  if (!CreateExtInfo(anf_node, kernel_mod_ptr)) {
+    MS_LOG(EXCEPTION) << "Create nodeDefBytes faild!";
+  }
+
   if (!SetIOSize(anf_node, kernel_mod_ptr)) {
     MS_LOG(EXCEPTION) << "Set input output size list failed.";
   }

mindspore/ccsrc/backend/kernel_compiler/aicpu/aicpu_kernel_mod.cc

@@ -43,6 +43,7 @@ AicpuOpKernelMod::~AicpuOpKernelMod() {
   input_size_list_.clear();
   output_size_list_.clear();
   workspace_size_list_.clear();
+  ext_info_.clear();
 }
 
 void AicpuOpKernelMod::SetInputSizeList(const std::vector<size_t> &size_list) { input_size_list_ = size_list; }
@@ -54,6 +55,7 @@ const std::vector<size_t> &AicpuOpKernelMod::GetWorkspaceSizeList() const { retu
 void AicpuOpKernelMod::SetInputList(const std::vector<int64_t> &inputList) { inputList_ = inputList; }
 void AicpuOpKernelMod::SetOutputList(const std::vector<int64_t> &outputList) { outputList_ = outputList; }
 void AicpuOpKernelMod::SetNodeDef(const std::string &nodeDef) { (void)node_def_str_.assign(nodeDef); }
+void AicpuOpKernelMod::SetExtInfo(const std::string &ext_info) { ext_info_ = ext_info; }
 void AicpuOpKernelMod::SetNodeName(const std::string &node_name) { node_name_ = node_name; }
 void AicpuOpKernelMod::SetAnfNode(const mindspore::AnfNodePtr &anf_node) {
   MS_EXCEPTION_IF_NULL(anf_node);
@@ -84,16 +86,30 @@ void AicpuOpKernelMod::CreateCpuKernelInfo(const std::vector<AddressPtr> &inputs
 
   auto node_def_len = node_def_str_.length();
   param_len += node_def_len;
+  param_len += sizeof(uint32_t);
+
+  AicpuParamHead aicpu_param_head;
+  aicpu_param_head.length = param_len;
+  aicpu_param_head.ioAddrNum = io_addrs_num;
+
+  if (ext_info_.empty()) {
+    MS_LOG(INFO) << "Static Shape Kernel";
+    aicpu_param_head.extInfoLength = 0;
+    aicpu_param_head.extInfoAddr = 0;
+  } else {
+    MS_LOG(INFO) << "Dynamic Kernel Ext Info size:" << ext_info_.size();
+  }
 
-  // Create taskArgs: AicpuParamHead + ioAddrs + notifyId + customizedAttr
-  AicpuParamHead paramHead = {static_cast<uint32_t>(param_len), static_cast<uint32_t>(io_addrs_num)};
   args_.clear();
-  (void)args_.append(reinterpret_cast<const char *>(&paramHead), sizeof(AicpuParamHead));
+  (void)args_.append(reinterpret_cast<const char *>(&aicpu_param_head), sizeof(AicpuParamHead));
   // TaskArgs append ioAddrs
   if (io_addrs_size != 0) {
     (void)args_.append(reinterpret_cast<const char *>(io_addrs.data()), io_addrs_size);
   }
 
+  // size for node_def
+  args_.append(reinterpret_cast<const char *>(&node_def_len), sizeof(uint32_t));
+
   // When it's aicpu customized ops, taskArgs should append customized attr
   if (node_def_len != 0) {
     (void)args_.append(reinterpret_cast<const char *>(node_def_str_.data()), node_def_len);
@@ -145,8 +161,9 @@ std::vector<TaskInfoPtr> AicpuOpKernelMod::GenTask(const std::vector<AddressPtr>
     node_name_ = kTopKV2;
   }
 
-  AicpuTaskInfoPtr task_info_ptr = make_shared<ge::model_runner::AicpuTaskInfo>(
-    kernel_name_, stream_id, node_so_, node_name_, node_def_str_, input_data_addrs, output_data_addrs, NeedDump());
+  AicpuTaskInfoPtr task_info_ptr =
+    make_shared<ge::model_runner::AicpuTaskInfo>(kernel_name_, stream_id, node_so_, node_name_, node_def_str_,
+                                                 ext_info_, input_data_addrs, output_data_addrs, NeedDump());
 
   MS_LOG(INFO) << "AicpuOpKernelMod GenTask end";
   return {task_info_ptr};

mindspore/ccsrc/backend/kernel_compiler/aicpu/aicpu_kernel_mod.h

@@ -36,6 +36,7 @@ class AicpuOpKernelMod : public AscendKernelMod {
   void SetOutputList(const std::vector<int64_t> &outputList);
   void SetAnfNode(const AnfNodePtr &anf_node);
   void SetNodeDef(const std::string &nodeDef);
+  void SetExtInfo(const std::string &ext_info);
   void SetNodeName(const std::string &node_name);
 
   /**
@@ -58,6 +59,7 @@ class AicpuOpKernelMod : public AscendKernelMod {
   std::string node_def_str_;
   std::string node_name_;
   std::string node_so_;
+  std::string ext_info_;
   std::vector<int64_t> inputList_;
   std::vector<int64_t> outputList_;
   AnfNodePtr anf_node_;

mindspore/ccsrc/backend/kernel_compiler/aicpu/aicpu_util.h

@@ -21,7 +21,6 @@
 #include <map>
 #include <string>
 #include "backend/kernel_compiler/kernel.h"
-
 namespace mindspore {
 namespace kernel {
 constexpr auto kInitDataSetQueue = "InitDataSetQueue";
@@ -50,6 +49,36 @@ struct AicpuParamHead {
   uint64_t extInfoAddr;    // extInfo address
 } __attribute__((packed));
 
+const uint32_t kExtInfoHeadSize = 8;
+struct ExtInfo {
+  int32_t infoType;  // extend type
+  uint32_t infoLen;  // length for infoMsg
+  char infoMsg[0];   // extend value
+} __attribute__((packed));
+
+// Extent info ShapeAndType
+const uint32_t kMaxShapeDims = 8;
+struct ShapeAndType {
+  int32_t type;
+  int64_t dims[kMaxShapeDims];
+} __attribute__((packed));
+
+// Extend Info type for task
+enum FWKTaskExtInfoType {
+  FWK_ADPT_EXT_SHAPE_TYPE = 0,
+  FWK_ADPT_EXT_INPUT_SHAPE,
+  FWK_ADPT_EXT_OUTPUT_SHAPE,
+  FWK_ADPT_EXT_INVALID
+};
+
+// for unknown shape op type
+enum UnknowShapeOpType {
+  DEPEND_IN_SHAPE = 1,     // op out shape get by input shape
+  DEPEND_CONST_VALUE = 2,  // op out shape get by const op value
+  DEPEND_SHAPE_RANGE = 3,  // op out shape get by range
+  DEPEND_COMPUTE = 4       // op out shape get by totally computing
+};
+
 class AicpuOpUtil {
  public:
   static int MsTypeToProtoType(TypeId ms_type);

mindspore/ccsrc/backend/kernel_compiler/aicpu/proto/attr.proto

@@ -26,7 +26,7 @@ message AttrValue {
     repeated int64 i = 3 [ packed = true ];       //"array(int)"
     repeated float f = 4 [ packed = true ];       //"array(float)"
     repeated bool b = 5 [ packed = true ];        //"array(bool)"
-    repeated DataType type = 6 [ packed = true ]; //"array(type)"
+    repeated int32 type = 6 [ packed = true ]; //"array(type)"
     repeated TensorShape shape = 7;               //"array(shape)"
     repeated Tensor tensor = 8;                   //"array(tensor)"
   }

mindspore/ccsrc/backend/kernel_compiler/aicpu/proto/node_def.proto

@@ -18,9 +18,16 @@ package mindspore;
 import "attr.proto";
 import "tensor.proto";
 
+message DynamicIdx {
+  int32 idx = 1;
+  int32 num = 2;
+}
+
 message NodeDef {
   string op = 2;
   map<string, AttrValue> attrs = 3;
   repeated Tensor inputs = 4;
   repeated Tensor outputs = 5;
+  map<string, DynamicIdx> dym_inputs = 6;
+  map<string, DynamicIdx> dym_outputs = 7;
 }

mindspore/ccsrc/backend/kernel_compiler/aicpu/proto/tensor.proto

@@ -26,9 +26,12 @@ message Tensor {
   TensorShape tensor_shape = 1;
 
   // tensor content data type
-  DataType tensor_type = 2;
+  int32 tensor_type = 2;
 
   // tensor memory device
   // data located memory device , "DDR" "HBM" OR "NONE"
   string mem_device = 3;
+  string name = 4;
+  uint64 data_ptr = 5;
+  uint64 data_size = 6;
 }

mindspore/ccsrc/backend/kernel_compiler/aicpu/proto/tensor_shape.proto

@@ -31,5 +31,5 @@ message TensorShape {
   bool unknown_rank = 3;
 
   // data format "NHWC" "NCHW" "NC1HWC0" OR "NONE"
-  string data_format = 4;
+  int32 data_format = 4;
 };