From bb9842bc73a985e9069b538df9ed1bfff9045656 Mon Sep 17 00:00:00 2001
From: CoprDistGit <infra@openeuler.org>
Date: Thu, 21 Aug 2025 11:25:33 +0000
Subject: automatic import of ANNC

---
 ANNC.spec | 43 ++++++++++++++++++++++++++-----------------
 1 file changed, 26 insertions(+), 17 deletions(-)

(limited to 'ANNC.spec')

diff --git a/ANNC.spec b/ANNC.spec
index fca393d..2379321 100644
--- a/ANNC.spec
+++ b/ANNC.spec
@@ -5,9 +5,9 @@
 %global install_libdir %{buildroot}%{_libdir}
 %global install_includedir %{buildroot}%{_includedir}/annc
 
-%global max_jobs 16
+%global max_jobs 8
 
-%define debug_package %{nil}
+%global debug_package %{nil}
 
 Summary: %{name} is an AI compiler designed to optimize and compile ML model into high-performance executable code that can be executed on various targets.
 Name:       ANNC
@@ -16,15 +16,17 @@ Release:    1
 # Package onnxruntime and SafeInt have MIT License.
 # Package onnx has Apache License 2.0.
 License:    MIT and ASL 2.0 and Boost and BSD
-URL:        https://gitee.com/openeuler/AI4C
+URL:        https://gitee.com/openeuler/ANNC
 Source0:    %{pkg_version}.tar.gz
-Source1:    annc_external.tar.gz.aa
-Source2:    annc_external.tar.gz.ab
+Source1:    external.tar.gz.aa
+Source2:    external.tar.gz.ab
+Source3:    XNNPACK.tar.gz
 %ifarch x86_64
 Patch0:    x86_64_external_files.patch
 %endif
 
 BuildRequires:  cmake >= 3.9.9
+BuildRequires:  make
 BuildRequires:  gcc
 BuildRequires:  gcc-c++
 BuildRequires:  bzip2
@@ -43,21 +45,26 @@ BuildRequires:  bazel
 %{name} is is an AI compiler designed to optimize and compile ML model into high-performance executable code that can be executed on various targets.
 
 %prep
-cat %{SOURCE1} %{SOURCE2} > annc_external.tar.gz
-tar -xzf annc_external.tar.gz -C .
+cat %{SOURCE1} %{SOURCE2} > external.tar.gz
+tar xf external.tar.gz -C .
+tar xf %{SOURCE3} -C .
 %ifarch x86_64
-%patch 0 -p0 -d .
+%patch 0 -p1 -d .
 %endif
 
 %autosetup -S git -n %{pkg_version}
 
 %build
 export ANNC=%{build_dir}
-cd %{build_dir}/annc/service/cpu/xla/libs
-bash xnnpack.sh
-
-export XNNPACK_BASE="$ANNC/annc/service/cpu/xla/libs"
-export XNNPACK_DIR="$XNNPACK_BASE/XNNPACK"
+cd %{_builddir}/XNNPACK/build
+CFLAGS="-fPIC" cmake .. -DXNNPACK_BUILD_BENCHMARKS=OFF \
+                        -DXNNPACK_BUILD_TESTS=OFF \
+                        -DXNNPACK_LIBRARY_TYPE=shared \
+                        -DCMAKE_BUILD_TYPE=Release
+make -j %{max_jobs}
+rm -rf $ANNC/annc/service/cpu/xla/libs/libXNNPACK.so
+cp %{_builddir}/XNNPACK/build/libXNNPACK.so $ANNC/annc/service/cpu/xla/libs
+export XNNPACK_DIR="%{_builddir}/XNNPACK"
 
 CPLUS_INCLUDE_PATH+="$ANNC/annc/service/cpu/xla:"
 CPLUS_INCLUDE_PATH+="$ANNC/annc/service/:"
@@ -75,9 +82,11 @@ run_bazel_build() {
         --verbose_failures \
         --action_env="baila=548" \
         --define tflite_with_xnnpack=false \
-        --copt="-g" \
-        --copt="-DNDBUG" \
-        annc/service/cpu:libannc.so
+        --jobs=%{max_jobs} \
+       annc/service/cpu:libannc.so \ 
+       # --copt="-g" \
+       # --copt="-DNDBUG" \
+       # annc/service/cpu:libannc.so
 }
 
 fix_action() {
@@ -111,7 +120,7 @@ install %{build_dir}/python/tensorflow/kernels/* -t %{install_includedir}
 install -d %{install_libdir}
 output_path=$(find %{build_dir} -type f -name "libannc.so")
 install ${output_path} -t %{install_libdir}
-install %{build_dir}/annc/service/cpu/xla/libs/XNNPACK/build/*.so -t %{install_libdir}
+install %{build_dir}/annc/service/cpu/xla/libs/libXNNPACK.so -t %{install_libdir}
 
 pushd %{build_dir}/python
 %py3_install
-- 
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