『IOS』No architectures to compile for (ONLY_ACTIVE_ARCH=YES, active arch=arm64

最新推荐文章于 2020-10-16 16:51:47 发布
最新推荐文章于 2020-10-16 16:51:47 发布
阅读量2.8k 收藏
点赞数
分类专栏： 『IOS』
本文解决了一个常见的Xcode编译错误：“No architectures to compile for”，提供了详细的步骤来修复此问题，包括调整项目的架构设置及确保支持正确的CPU类型。

问题：No architectures to compile for (ONLY_ACTIVE_ARCH=YES, active arch=arm64, VALID_ARCHS=armv7 armv7s).


1. No architectures to compile for (ONLY_ACTIVE_ARCH=YES, active arch=x86_64, VALID_ARCHS=armv7 armv7s)

We set ARCHS="armv7 armv7s" ONLY_ACTIVE_ARCH=NO.



2. 

摘要
No architectures to compile for (ONLY_ACTIVE_ARCH=YES, active arch=armv7, VA

运行报错


出现的原因：armv7s是应用在iPhone 5 A6 的架构上的
解决的方式：
1，在Project target里“Architectures”设置为“Standard （armv7,armv7s）”
2，修改在Project target里“Build Settings”的“Valid Architectures”添加“i386”和“armv7”(Xcode4.6不再支持armv6，请去掉)
3,设置”Build Active Architecture Only”为“NO”。这样你build你的项目的时候就能在iphoe5和iphoe4s里执行。

No architectures to compile for (ONLY_ACTIVE_ARCH=YES, active arch=arm64, VALID_ARCHS=arm64 arm64e i
u012376580的博客
12-09 3514
编译的时候会报标题的错误，想直接看标题的解决方式，则从第四条看起！！！前提cocoapods安装成功哈~ 最近换了新电脑，系统为macOS Big Sur 11.0.1，Xcode版本为12.2，在安装完cocoapods以后，项目依然不能运行，因为尝试时间较久，遇到的问题较多，最终找到原因并解决，过程中遇到的一些问题也做下记录，方便以后自己参考，并深深的记住这次费时如此之久，靠着灵光一闪才解决的问题！！！因为是新电脑，所以可能需要从0说起，着急的可直接看后面第四条，仅供参考！！！ 一、准备工作 1.
Makefile增加ARCH和CROSS_COMPILE
TrueLink的博客
02-07 197
【代码】Makefile增加ARCH和CROSS_COMPILE。
No architectures to compile for (ONLY_ACTIVE_ARCH=YES, active arch=x86_64, VALID_
王梦琦的专栏
03-27 2万+
错误代码：No architectures to compile for (ONLY_ACTIVE_ARCH=YES, active arch=x86_64, VALID_ARCHS=armv7 armv7s) xcodebuild 这个target的时候命令行报错。 LY_ACTIVE_ARCH=YES, active arch=x86_64, VALID_A
NO architectures to compile for (ONLY_ACTIVE_ARCH=YES,active arch=x86_64, 报错的解决
Ye_1314的专栏
04-09 1019
Xcode5.1升级后发现有这个问题，先把Architecturals 的arm64架构去掉然后 我用第3个方法解决了 PBXcp error差不多算是Xcode比较常见的一个编译错误了，原因往往是添加或删除美术资源的时候出错。虽然是小问题，但出现的频率很高。 解决方法（可以依次尝试，总有一种能最终解决问题）： 方法1.退出Xcode，然后从finder里面进入
No Architectures to Compile for (ONLY_ACTIVE_ARCH=
weixin_34137799的博客
02-19 138
2019独角兽企业重金招聘Python工程师标准>>> ...
No architectures to compile for (ONLY_ACTIVE_ARCH=YES, active arch=arm64, VALID_ARCHS=armv7 armv7s)
iShareStudio
06-16 2073
问题： No architectures to compile for (ONLY_ACTIVE_ARCH=YES, active arch=arm64, VALID_ARCHS=armv7 armv7s) 解决： Project ->Target->Build Setting ->搜索 Build Active Architecture Only ->把值改成NO
1 #!/bin/bash 2 3 # variables, parent script must set it: 4 # SRS_JOBS: the build jobs. 5 # SrsArmMakeOptions: the arm make options for ubuntu12(armhf, v7cpu) 6 7 ##################################################################################### 8 ##################################################################################### 9 # prepare the depends tools and libraries 10 # DEPENDS: options.sh, only when user options parsed, the depends tools are known. 11 ##################################################################################### 12 ##################################################################################### 13 14 ##################################################################################### 15 # Check OS and CPU architectures. 16 ##################################################################################### 17 if [[ $OS_IS_UBUNTU != YES && $OS_IS_CENTOS != YES && $OS_IS_OSX != YES && $SRS_CYGWIN64 != YES ]]; then 18 if [[ $SRS_CROSS_BUILD != YES && $SRS_GENERIC_LINUX != YES ]]; then 19 echo "Your OS `uname -s` is not supported." 20 if [[ $(uname -s) == "Linux" ]]; then 21 echo "Please try --generic-linux=on for other Linux systems." 22 fi 23 exit 1 24 fi 25 fi 26 27 # The absolute path of SRS_OBJS, for prefix and PKG_CONFIG_PATH 28 SRS_DEPENDS_LIBS=$(mkdir -p $SRS_OBJS && cd $SRS_OBJS && pwd) 29 echo -n "SRS_JOBS: $SRS_JOBS, SRS_DEPENDS_LIBS: ${SRS_DEPENDS_LIBS}" 30 if [[ ! -z $OS_IS_LINUX ]]; then echo -n ", OS_IS_LINUX: $OS_IS_LINUX"; fi 31 if [[ ! -z $OS_IS_OSX ]]; then echo -n ", OS_IS_OSX: $OS_IS_OSX"; fi 32 if [[ ! -z $OS_IS_CYGWIN ]]; then echo -n ", OS_IS_CYGWIN: $OS_IS_CYGWIN"; fi 33 if [[ ! -z $OS_IS_UBUNTU ]]; then echo -n ", OS_IS_UBUNTU: $OS_IS_UBUNTU"; fi 34 if [[ ! -z $OS_IS_CENTOS ]]; then echo -n ", OS_IS_CENTOS: $OS_IS_CENTOS"; fi 35 if [[ ! -z $SRS_CROSS_BUILD ]]; then echo -n ", SRS_CROSS_BUILD: $SRS_CROSS_BUILD"; fi 36 if [[ ! -z $OS_IS_LOONGARCH64 ]]; then echo -n ", OS_IS_LOONGARCH64: $OS_IS_LOONGARCH64"; fi 37 if [[ ! -z $OS_IS_MIPS64 ]]; then echo -n ", OS_IS_MIPS64: $OS_IS_MIPS64"; fi 38 if [[ ! -z $OS_IS_LOONGSON ]]; then echo -n ", OS_IS_LOONGSON: $OS_IS_LOONGSON"; fi 39 if [[ ! -z $OS_IS_X86_64 ]]; then echo -n ", OS_IS_X86_64: $OS_IS_X86_64"; fi 40 if [[ ! -z $OS_IS_RISCV ]]; then echo -n ", OS_IS_RISCV: $OS_IS_RISCV"; fi 41 echo "" 42 43 ##################################################################################### 44 # Check dependency tools. 45 ##################################################################################### 46 if [[ $SRS_OSX == YES ]]; then 47 brew --version >/dev/null 2>/dev/null; ret=$?; if [[ 0 -ne $ret ]]; then 48 echo "Please install brew at https://brew.sh/"; exit $ret; 49 fi 50 fi 51 # Check perl, which is depended by automake for building libopus etc. 52 perl --version >/dev/null 2>/dev/null; ret=$?; if [[ 0 -ne $ret ]]; then 53 if [[ $OS_IS_CENTOS == YES ]]; then 54 echo "Please install perl by:" 55 echo " yum install -y perl" 56 elif [[ $OS_IS_UBUNTU == YES ]]; then 57 echo "Please install perl by:" 58 echo " apt install -y perl" 59 else 60 echo "Please install perl" 61 fi 62 exit $ret; 63 fi 64 gcc --version >/dev/null 2>/dev/null; ret=$?; if [[ 0 -ne $ret ]]; then 65 if [[ $OS_IS_CENTOS == YES ]]; then 66 echo "Please install gcc by:" 67 echo " yum install -y gcc" 68 elif [[ $OS_IS_UBUNTU == YES ]]; then 69 echo "Please install gcc by:" 70 echo " apt install -y gcc" 71 else 72 echo "Please install gcc" 73 fi 74 exit $ret; 75 fi 76 g++ --version >/dev/null 2>/dev/null; ret=$?; if [[ 0 -ne $ret ]]; then 77 if [[ $OS_IS_CENTOS == YES ]]; then 78 echo "Please install g++ by:" 79 echo " yum install -y gcc-c++" 80 elif [[ $OS_IS_UBUNTU == YES ]]; then 81 echo "Please install g++ by:" 82 echo " apt install -y g++" 83 else 84 echo "Please install gcc-c++" 85 fi 86 exit $ret; 87 fi 88 make --version >/dev/null 2>/dev/null; ret=$?; if [[ 0 -ne $ret ]]; then 89 if [[ $OS_IS_CENTOS == YES ]]; then 90 echo "Please install make by:" 91 echo " yum install -y make" 92 elif [[ $OS_IS_UBUNTU == YES ]]; then 93 echo "Please install make by:" 94 echo " apt install -y make" 95 else 96 echo "Please install make" 97 fi 98 exit $ret; 99 fi 100 patch --version >/dev/null 2>/dev/null; ret=$?; if [[ 0 -ne $ret ]]; then 101 if [[ $OS_IS_CENTOS == YES ]]; then 102 echo "Please install patch by:" 103 echo " yum install -y patch" 104 elif [[ $OS_IS_UBUNTU == YES ]]; then 105 echo "Please install patch by:" 106 echo " apt install -y patch" 107 else 108 echo "Please install patch" 109 fi 110 exit $ret; 111 fi 112 unzip -v >/dev/null 2>/dev/null; ret=$?; if [[ 0 -ne $ret ]]; then 113 if [[ $OS_IS_CENTOS == YES ]]; then 114 echo "Please install unzip by:" 115 echo " yum install -y unzip" 116 elif [[ $OS_IS_UBUNTU == YES ]]; then 117 echo "Please install unzip by:" 118 echo " apt install -y unzip" 119 else 120 echo "Please install unzip" 121 fi 122 exit $ret; 123 fi 124 automake --version >/dev/null 2>/dev/null; ret=$?; if [[ 0 -ne $ret ]]; then 125 if [[ $OS_IS_CENTOS == YES ]]; then 126 echo "Please install automake by:" 127 echo " yum install -y automake" 128 elif [[ $OS_IS_UBUNTU == YES ]]; then 129 echo "Please install automake by:" 130 echo " apt install -y automake" 131 else 132 echo "Please install automake" 133 fi 134 exit $ret; 135 fi 136 if [[ $SRS_VALGRIND == YES ]]; then 137 valgrind --version >/dev/null 2>/dev/null; ret=$?; if [[ 0 -ne $ret ]]; then 138 echo "Please install valgrind"; exit $ret; 139 fi 140 if [[ ! -f /usr/include/valgrind/valgrind.h ]]; then 141 echo "Please install valgrind-dev"; exit $ret; 142 fi 143 fi 144 # Check tclsh, which is depended by SRT. 145 if [[ $SRS_SRT == YES ]]; then 146 tclsh <<< "exit" >/dev/null 2>&1; ret=$?; if [[ 0 -ne $ret ]]; then 147 if [[ $OS_IS_CENTOS == YES ]]; then 148 echo "Please install tclsh by:" 149 echo " yum install -y tcl" 150 elif [[ $OS_IS_UBUNTU == YES ]]; then 151 echo "Please install tclsh by:" 152 echo " apt install -y tclsh" 153 else 154 echo "Please install tclsh" 155 fi 156 exit $ret; 157 fi 158 cmake --version >/dev/null 2>/dev/null; ret=$?; if [[ 0 -ne $ret ]]; then 159 if [[ $OS_IS_CENTOS == YES ]]; then 160 echo "Please install cmake by:" 161 echo " yum install -y cmake" 162 elif [[ $OS_IS_UBUNTU == YES ]]; then 163 echo "Please install cmake by:" 164 echo " apt install -y cmake" 165 else 166 echo "Please install cmake" 167 fi 168 exit $ret; 169 fi 170 fi 171 pkg-config --version >/dev/null 2>/dev/null; ret=$?; if [[ 0 -ne $ret ]]; then 172 echo "Please install pkg-config"; exit $ret; 173 fi 174 which ls >/dev/null 2>/dev/null; ret=$?; if [[ 0 -ne $ret ]]; then 175 if [[ $OS_IS_CENTOS == YES ]]; then 176 echo "Please install which by:" 177 echo " yum install -y which" 178 elif [[ $OS_IS_UBUNTU == YES ]]; then 179 echo "Please install which by:" 180 echo " apt install -y which" 181 else 182 echo "Please install which" 183 fi 184 exit $ret; 185 fi 186 187 ##################################################################################### 188 # Try to load cache if exists /usr/local/srs-cache 189 ##################################################################################### 190 # Use srs-cache from base image. See https://github.com/ossrs/dev-docker/blob/ubuntu20-cache/Dockerfile 191 # Note that the cache for cygwin is not under /usr/local, but copy to objs instead. 192 if [[ -d /usr/local/srs-cache/srs/trunk/objs && $(pwd) != "/usr/local/srs-cache/srs/trunk" && $SRS_BUILD_CACHE == YES ]]; then 193 SOURCE_DIR=$(ls -d /usr/local/srs-cache/srs/trunk/objs/Platform-SRS${SRS_MAJOR}-* 2>/dev/null|head -n 1) 194 if [[ -d $SOURCE_DIR ]]; then 195 TARGET_DIR=${SRS_OBJS}/${SRS_PLATFORM} && 196 echo "Build from cache, source=$SOURCE_DIR, target=$TARGET_DIR" && 197 rm -rf $TARGET_DIR && mkdir -p ${SRS_OBJS} && cp -R $SOURCE_DIR $TARGET_DIR && 198 du -sh /usr/local/srs-cache/srs/trunk/objs/Platform-* && 199 du -sh /usr/local/srs-cache/srs/trunk/objs/Platform-*/* && 200 du -sh objs/Platform-* && 201 ls -lh objs 202 fi 203 fi 204 205 ##################################################################################### 206 # Check for address sanitizer, see https://github.com/google/sanitizers 207 ##################################################################################### 208 if [[ $SRS_SANITIZER == YES && $OS_IS_X86_64 == YES ]]; then 209 echo 'int main() { return 0; }' > ${SRS_OBJS}/test_sanitizer.c && 210 gcc -fsanitize=address -fno-omit-frame-pointer -g -O0 ${SRS_OBJS}/test_sanitizer.c \ 211 -o ${SRS_OBJS}/test_sanitizer 1>/dev/null 2>&1; 212 ret=$?; rm -rf ${SRS_OBJS}/test_sanitizer* 213 if [[ $ret -ne 0 ]]; then 214 echo "Please install libasan, see https://github.com/google/sanitizers"; 215 if [[ $OS_IS_CENTOS == YES ]]; then echo " sudo yum install -y libasan"; fi 216 exit $ret; 217 fi 218 fi 219 220 if [[ $SRS_SANITIZER == YES && $OS_IS_X86_64 == YES && $SRS_SANITIZER_STATIC == NO ]]; then 221 echo 'int main() { return 0; }' > ${SRS_OBJS}/test_sanitizer.c && 222 gcc -fsanitize=address -fno-omit-frame-pointer -static-libasan -g -O0 ${SRS_OBJS}/test_sanitizer.c \ 223 -o ${SRS_OBJS}/test_sanitizer 1>/dev/null 2>&1; 224 ret=$?; rm -rf ${SRS_OBJS}/test_sanitizer* 225 if [[ $ret -eq 0 ]]; then 226 echo "link static-libasan" 227 SRS_SANITIZER_STATIC=YES 228 fi 229 fi 230 231 if [[ $SRS_SANITIZER == YES && $OS_IS_X86_64 == YES && $SRS_SANITIZER_LOG == NO ]]; then 232 echo "#include <sanitizer/asan_interface.h>" > ${SRS_OBJS}/test_sanitizer.c && 233 echo "int main() { return 0; }" >> ${SRS_OBJS}/test_sanitizer.c && 234 gcc -fsanitize=address -fno-omit-frame-pointer -g -O0 ${SRS_OBJS}/test_sanitizer.c \ 235 -o ${SRS_OBJS}/test_sanitizer 1>/dev/null 2>&1; 236 ret=$?; rm -rf ${SRS_OBJS}/test_sanitizer* 237 if [[ $ret -eq 0 ]]; then 238 echo "libasan api found ok!"; 239 SRS_SANITIZER_LOG=YES 240 fi 241 fi 242 243 ##################################################################################### 244 # state-threads 245 ##################################################################################### 246 # check the cross build flag file, if flag changed, need to rebuild the st. 247 _ST_MAKE=linux-debug && _ST_OBJ="LINUX_`uname -r`_DBG" 248 # Always alloc on heap, @see https://github.com/ossrs/srs/issues/509#issuecomment-719931676 249 _ST_EXTRA_CFLAGS="-DMALLOC_STACK" 250 # For valgrind to detect memory issues. 251 if [[ $SRS_VALGRIND == YES ]]; then 252 _ST_EXTRA_CFLAGS="$_ST_EXTRA_CFLAGS -DMD_VALGRIND" 253 fi 254 # for osx, use darwin for st, donot use epoll. 255 if [[ $SRS_OSX == YES ]]; then 256 _ST_MAKE=darwin-debug && _ST_OBJ="DARWIN_`uname -r`_DBG" 257 fi 258 # for windows/cygwin 259 if [[ $SRS_CYGWIN64 = YES ]]; then 260 _ST_MAKE=cygwin64-debug && _ST_OBJ="CYGWIN64_`uname -s`_DBG" 261 fi 262 # For Ubuntu, the epoll detection might be fail. 263 if [[ $OS_IS_UBUNTU == YES ]]; then 264 _ST_EXTRA_CFLAGS="$_ST_EXTRA_CFLAGS -DMD_HAVE_EPOLL" 265 fi 266 # Whether enable debug stats. 267 if [[ $SRS_DEBUG_STATS == YES ]]; then 268 _ST_EXTRA_CFLAGS="$_ST_EXTRA_CFLAGS -DDEBUG_STATS" 269 fi 270 # Pass the global extra flags. 271 if [[ $SRS_EXTRA_FLAGS != '' ]]; then 272 _ST_EXTRA_CFLAGS="$_ST_EXTRA_CFLAGS $SRS_EXTRA_FLAGS" 273 fi 274 # Whether link as .so 275 if [[ $SRS_SHARED_ST == YES ]]; then 276 _ST_STATIC_ONLY=no; 277 else 278 _ST_STATIC_ONLY=yes; 279 fi 280 # The final args to make st. 281 _ST_MAKE_ARGS="${_ST_MAKE} STATIC_ONLY=${_ST_STATIC_ONLY}" 282 _ST_MAKE_ARGS="${_ST_MAKE_ARGS} CC=${SRS_TOOL_CC} AR=${SRS_TOOL_AR} LD=${SRS_TOOL_LD} RANDLIB=${SRS_TOOL_RANDLIB}" 283 # Patched ST from https://github.com/ossrs/state-threads/tree/srs 284 if [[ -f ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/st/libst.a ]]; then 285 rm -rf ${SRS_OBJS}/st && cp -rf ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/st ${SRS_OBJS}/ && 286 echo "The state-threads is ok." 287 else 288 echo "Building state-threads." && 289 rm -rf ${SRS_OBJS}/${SRS_PLATFORM}/st-srs ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/st ${SRS_OBJS}/st && 290 cp -rf ${SRS_WORKDIR}/3rdparty/st-srs ${SRS_OBJS}/${SRS_PLATFORM}/ && 291 env EXTRA_CFLAGS="${_ST_EXTRA_CFLAGS}" make -C ${SRS_OBJS}/${SRS_PLATFORM}/st-srs ${_ST_MAKE_ARGS} && 292 mkdir -p ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/st && 293 cp -f ${SRS_OBJS}/${SRS_PLATFORM}/st-srs/${_ST_OBJ}/st.h ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/st/ && 294 cp -f ${SRS_OBJS}/${SRS_PLATFORM}/st-srs/${_ST_OBJ}/libst.a ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/st/ && 295 cp -rf ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/st ${SRS_OBJS}/ && 296 echo "The state-threads is ok." 297 fi 298 # check status 299 ret=$?; if [[ $ret -ne 0 ]]; then echo "Build state-threads failed, ret=$ret"; exit $ret; fi 300 301 ##################################################################################### 302 # nginx for HLS, nginx-1.5.0 303 ##################################################################################### 304 function write_nginx_html5() 305 { 306 cat<<END > ${html_file} 307 <video width="100%" autoplay controls autobuffer type="application/vnd.apple.mpegurl" 308 src="${hls_stream}"> 309 </video> 310 END 311 } 312 # create the nginx dir, for http-server if not build nginx 313 mkdir -p ${SRS_OBJS}/nginx 314 315 # the demo dir. 316 # create forward dir 317 mkdir -p ${SRS_OBJS}/nginx/html/live && 318 html_file=${SRS_OBJS}/nginx/html/live/livestream.html && hls_stream=livestream.m3u8 && write_nginx_html5 && 319 320 # copy players to nginx html dir. 321 rm -rf ${SRS_OBJS}/nginx/html/players && 322 cp -rf $SRS_WORKDIR/research/players ${SRS_OBJS}/nginx/html/ && 323 324 # for favicon.ico 325 rm -rf ${SRS_OBJS}/nginx/html/favicon.ico && 326 cp -f $SRS_WORKDIR/research/api-server/static-dir/favicon.ico ${SRS_OBJS}/nginx/html/favicon.ico && 327 328 # For srs-console. 329 rm -rf ${SRS_OBJS}/nginx/html/console && 330 cp -rf $SRS_WORKDIR/research/console ${SRS_OBJS}/nginx/html/ && 331 332 # For SRS signaling. 333 rm -rf ${SRS_OBJS}/nginx/html/demos && 334 cp -rf $SRS_WORKDIR/3rdparty/signaling/www/demos ${SRS_OBJS}/nginx/html/ && 335 336 # For home page index.html 337 rm -rf ${SRS_OBJS}/nginx/html/index.html && 338 cp -f $SRS_WORKDIR/research/api-server/static-dir/index.html ${SRS_OBJS}/nginx/html/index.html && 339 340 # nginx.html to detect whether nginx is alive 341 echo "Nginx is ok." > ${SRS_OBJS}/nginx/html/nginx.html 342 343 # check status 344 ret=$?; if [[ $ret -ne 0 ]]; then echo "Build web pages failed, ret=$ret"; exit $ret; fi 345 346 ##################################################################################### 347 # Generate default self-sign certificate for HTTPS server, test only. 348 ##################################################################################### 349 if [[ ! -f $SRS_WORKDIR/conf/server.key || ! -f $SRS_WORKDIR/conf/server.crt ]]; then 350 openssl genrsa -out $SRS_WORKDIR/conf/server.key 2048 && 351 openssl req -new -x509 -key $SRS_WORKDIR/conf/server.key -out $SRS_WORKDIR/conf/server.crt -days 3650 \ 352 -subj "/C=CN/ST=Beijing/L=Beijing/O=Me/OU=Me/CN=ossrs.net" && 353 echo "Generate test-only self-sign certificate files" 354 fi 355 356 ##################################################################################### 357 # openssl, for rtmp complex handshake and HLS encryption. 358 ##################################################################################### 359 if [[ $SRS_SSL == YES && $SRS_USE_SYS_SSL == YES ]]; then 360 echo "Warning: Use system libssl, without compiling openssl." 361 fi 362 # @see http://www.openssl.org/news/secadv/20140407.txt 363 # Affected users should upgrade to OpenSSL 1.1.0e. Users unable to immediately 364 # upgrade can alternatively recompile OpenSSL with -DOPENSSL_NO_HEARTBEATS. 365 if [[ $SRS_SSL == YES && $SRS_USE_SYS_SSL != YES ]]; then 366 OPENSSL_OPTIONS="-no-shared -no-threads -DOPENSSL_NO_HEARTBEATS" 367 OPENSSL_CONFIG="./config" 368 # https://stackoverflow.com/questions/15539062/cross-compiling-of-openssl-for-linux-arm-v5te-linux-gnueabi-toolchain 369 if [[ $SRS_CROSS_BUILD == YES ]]; then 370 OPENSSL_CONFIG="./Configure linux-generic32" 371 if [[ $SRS_CROSS_BUILD_ARCH == "arm" ]]; then OPENSSL_CONFIG="./Configure linux-armv4"; fi 372 if [[ $SRS_CROSS_BUILD_ARCH == "aarch64" ]]; then OPENSSL_CONFIG="./Configure linux-aarch64"; fi 373 if [[ $SRS_CROSS_BUILD_ARCH == "mipsel" ]]; then OPENSSL_CONFIG="./Configure linux-mips32"; fi 374 elif [[ ! -f ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/openssl/lib/libssl.a ]]; then 375 # Try to use exists libraries. 376 if [[ -f /usr/local/ssl/lib/libssl.a && $SRS_SSL_LOCAL == NO ]]; then 377 (mkdir -p ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/openssl/lib && cd ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/openssl/lib && 378 cp /usr/local/ssl/lib/libssl.a . && cp /usr/local/ssl/lib/libcrypto.a . && 379 mkdir -p /usr/local/ssl/lib/pkgconfig && cp -rf /usr/local/ssl/lib/pkgconfig .) 380 (mkdir -p ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/openssl/include && cd ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/openssl/include && 381 cp -rf /usr/local/ssl/include/openssl .) 382 fi 383 # Warning if not use the system ssl. 384 if [[ -f /usr/local/ssl/lib/libssl.a && $SRS_SSL_LOCAL == YES ]]; then 385 echo "Warning: Local openssl is on, ignore system openssl" 386 fi 387 fi 388 # Patch for loongarch mips64, disable ASM for build failed message as bellow: 389 # Error: opcode not supported on this processor: mips3 (mips3) 390 if [[ $OS_IS_MIPS64 == YES ]]; then OPENSSL_CONFIG="./Configure linux64-mips64"; fi 391 if [[ $OS_IS_LOONGSON == YES ]]; then OPENSSL_OPTIONS="$OPENSSL_OPTIONS -no-asm"; fi 392 # For RTC, we should use ASM to improve performance, not a little improving. 393 if [[ $SRS_RTC == NO || $SRS_NASM == NO ]]; then 394 OPENSSL_OPTIONS="$OPENSSL_OPTIONS -no-asm" 395 echo "Warning: NASM is off, performance is hurt" 396 fi 397 # Mac OS X can have issues (its often a neglected platform). 398 # @see https://wiki.openssl.org/index.php/Compilation_and_Installation 399 if [[ $SRS_OSX == YES ]]; then 400 export KERNEL_BITS=64; 401 fi 402 # Use 1.0 if required. 403 if [[ $SRS_SSL_1_0 == YES ]]; then 404 OPENSSL_AR="$SRS_TOOL_AR -r" # For openssl 1.0, MUST specifies the args for ar or build faild. 405 OPENSSL_CANDIDATE="openssl-OpenSSL_1_0_2u" && 406 OPENSSL_UNZIP="tar xf ${SRS_WORKDIR}/3rdparty/$OPENSSL_CANDIDATE.tar.gz -C ${SRS_OBJS}/${SRS_PLATFORM}" 407 else 408 OPENSSL_AR="$SRS_TOOL_AR" 409 OPENSSL_CANDIDATE="openssl-1.1-fit" && 410 OPENSSL_UNZIP="cp -R ${SRS_WORKDIR}/3rdparty/$OPENSSL_CANDIDATE ${SRS_OBJS}/${SRS_PLATFORM}/" 411 fi 412 # 413 # https://wiki.openssl.org/index.php/Compilation_and_Installation#Configure_Options 414 # Already defined: -no-shared -no-threads -no-asm 415 # Should enable: -no-dtls -no-dtls1 -no-ssl3 416 # Might able to disable: -no-ssl2 -no-comp -no-idea -no-hw -no-engine -no-dso -no-err -no-nextprotoneg -no-psk -no-srp -no-ec2m -no-weak-ssl-ciphers 417 # Note that we do not disable more features, because no file could be removed. 418 #OPENSSL_OPTIONS="$OPENSSL_OPTIONS -no-ssl2 -no-comp -no-idea -no-hw -no-engine -no-dso -no-err -no-nextprotoneg -no-psk -no-srp -no-ec2m -no-weak-ssl-ciphers" 419 # 420 # cross build not specified, if exists flag, need to rebuild for no-arm platform. 421 if [[ -f ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/openssl/lib/libssl.a ]]; then 422 rm -rf ${SRS_OBJS}/openssl && cp -rf ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/openssl ${SRS_OBJS}/ && 423 echo "The $OPENSSL_CANDIDATE is ok." 424 else 425 echo "Building $OPENSSL_CANDIDATE." && 426 rm -rf ${SRS_OBJS}/${SRS_PLATFORM}/${OPENSSL_CANDIDATE} ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/openssl \ 427 ${SRS_OBJS}/openssl && 428 ${OPENSSL_UNZIP} && 429 ( 430 cd ${SRS_OBJS}/${SRS_PLATFORM}/${OPENSSL_CANDIDATE} && 431 chmod +x ./config ./Configure && 432 ${OPENSSL_CONFIG} --prefix=${SRS_DEPENDS_LIBS}/${SRS_PLATFORM}/3rdparty/openssl $OPENSSL_OPTIONS 433 ) && 434 make -C ${SRS_OBJS}/${SRS_PLATFORM}/${OPENSSL_CANDIDATE} CC=${SRS_TOOL_CC} AR="${OPENSSL_AR}" \ 435 LD=${SRS_TOOL_LD} RANDLIB=${SRS_TOOL_RANDLIB} ${SRS_JOBS} && 436 make -C ${SRS_OBJS}/${SRS_PLATFORM}/${OPENSSL_CANDIDATE} install_sw && 437 cp -rf ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/openssl ${SRS_OBJS}/ && 438 echo "The $OPENSSL_CANDIDATE is ok." 439 fi 440 # check status 441 ret=$?; if [[ $ret -ne 0 ]]; then echo "Build $OPENSSL_CANDIDATE failed, ret=$ret"; exit $ret; fi 442 fi 443 444 ##################################################################################### 445 # srtp 446 ##################################################################################### 447 if [[ $SRS_RTC == YES && $SRS_USE_SYS_SRTP == YES ]]; then 448 echo "Warning: Use system libsrtp, without compiling srtp." 449 fi 450 if [[ $SRS_RTC == YES && $SRS_USE_SYS_SRTP == NO ]]; then 451 SRTP_OPTIONS="" 452 # To eliminate warnings, see https://stackoverflow.com/a/34208904/17679565 453 # was built for newer macOS version (11.6) than being linked (11.0) 454 if [[ $SRS_OSX == YES ]]; then 455 export MACOSX_DEPLOYMENT_TARGET=11.0 456 echo "Set MACOSX_DEPLOYMENT_TARGET to avoid warnings" 457 fi 458 # If use ASM for SRTP, we enable openssl(with ASM). 459 if [[ $SRS_SRTP_ASM == YES ]]; then 460 SRTP_OPTIONS="--enable-openssl" 461 SRTP_CONFIGURE="env PKG_CONFIG_PATH=${SRS_DEPENDS_LIBS}/openssl/lib/pkgconfig ./configure" 462 else 463 SRTP_OPTIONS="--disable-openssl" 464 SRTP_CONFIGURE="./configure" 465 fi 466 if [[ $SRS_CROSS_BUILD == YES ]]; then 467 SRTP_OPTIONS="$SRTP_OPTIONS --host=$SRS_CROSS_BUILD_HOST" 468 fi 469 if [[ $OS_IS_LOONGARCH64 == YES ]]; then 470 SRTP_OPTIONS="$SRTP_OPTIONS --build=loongarch64-unknown-linux-gnu" 471 fi 472 # Copy and patch source files, then build and install libsrtp. 473 if [[ -f ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/srtp2/lib/libsrtp2.a ]]; then 474 rm -rf ${SRS_OBJS}/srtp2 && 475 cp -rf ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/srtp2 ${SRS_OBJS} && 476 echo "The libsrtp-2-fit is ok." 477 else 478 echo "Building libsrtp-2-fit." 479 rm -rf ${SRS_OBJS}/${SRS_PLATFORM}/libsrtp-2-fit ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/srtp2 \ 480 ${SRS_OBJS}/srtp2 && 481 cp -rf ${SRS_WORKDIR}/3rdparty/libsrtp-2-fit ${SRS_OBJS}/${SRS_PLATFORM}/ && 482 # For cygwin64, the patch is not available, so use sed instead. 483 if [[ $SRS_CYGWIN64 == YES ]]; then 484 sed -i 's/char bit_string/static char bit_string/g' ${SRS_OBJS}/${SRS_PLATFORM}/libsrtp-2-fit/crypto/math/datatypes.c 485 else 486 patch -p0 ${SRS_OBJS}/${SRS_PLATFORM}/libsrtp-2-fit/crypto/math/datatypes.c ${SRS_WORKDIR}/3rdparty/patches/srtp/gcc10-01.patch 487 fi && 488 # Patch the cpu arch guessing for RISCV. 489 if [[ $OS_IS_RISCV == YES ]]; then 490 patch -p0 ${SRS_OBJS}/${SRS_PLATFORM}/libsrtp-2-fit/config.guess ${SRS_WORKDIR}/3rdparty/patches/srtp/config.guess-02.patch 491 fi && 492 ( 493 cd ${SRS_OBJS}/${SRS_PLATFORM}/libsrtp-2-fit && 494 $SRTP_CONFIGURE ${SRTP_OPTIONS} --prefix=${SRS_DEPENDS_LIBS}/${SRS_PLATFORM}/3rdparty/srtp2 495 ) && 496 # Sometimes it might fail because autoconf failed to generate crypto/include.config.h 497 if [[ $SRS_CYGWIN64 == YES ]]; then 498 SRS_PATCH_SOURCE=${SRS_WORKDIR}/3rdparty/patches/srtp/cygwin-crypto-include-config.h 499 if [[ $SRS_SRTP_ASM == YES ]]; then 500 SRS_PATCH_SOURCE=${SRS_WORKDIR}/3rdparty/patches/srtp/cygwin-gcm-crypto-include-config.h 501 fi 502 grep -q 'HAVE_UINT64_T 1' ${SRS_OBJS}/${SRS_PLATFORM}/libsrtp-2-fit/crypto/include/config.h || 503 cp -f $SRS_PATCH_SOURCE ${SRS_OBJS}/${SRS_PLATFORM}/libsrtp-2-fit/crypto/include/config.h 504 fi && 505 make -C ${SRS_OBJS}/${SRS_PLATFORM}/libsrtp-2-fit ${SRS_JOBS} && 506 make -C ${SRS_OBJS}/${SRS_PLATFORM}/libsrtp-2-fit install && 507 cp -rf ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/srtp2 ${SRS_OBJS}/ && 508 echo "The libsrtp-2-fit is ok." 509 fi 510 ret=$?; if [[ $ret -ne 0 ]]; then echo "Build libsrtp failed, ret=$ret"; exit $ret; fi 511 fi 512 513 ##################################################################################### 514 # libopus, for WebRTC to transcode AAC with Opus. 515 ##################################################################################### 516 # For cross build, we use opus of FFmpeg, so we don't build the libopus. 517 if [[ $SRS_RTC == YES && $SRS_USE_SYS_FFMPEG != YES && $SRS_FFMPEG_OPUS != YES ]]; then 518 # Only build static libraries if no shared FFmpeg. 519 if [[ $SRS_SHARED_FFMPEG != YES ]]; then 520 OPUS_OPTIONS="--disable-shared --disable-doc" 521 fi 522 if [[ $OS_IS_LOONGARCH64 == YES ]]; then 523 OPUS_OPTIONS="$OPUS_OPTIONS --build=loongarch64-unknown-linux-gnu" 524 fi 525 if [[ -f ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/opus/lib/libopus.a ]]; then 526 rm -rf ${SRS_OBJS}/opus && cp -rf ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/opus ${SRS_OBJS}/ && 527 echo "The opus-1.3.1 is ok." 528 else 529 echo "Building opus-1.3.1." && 530 rm -rf ${SRS_OBJS}/${SRS_PLATFORM}/opus-1.3.1 ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/opus ${SRS_OBJS}/opus && 531 tar xf ${SRS_WORKDIR}/3rdparty/opus-1.3.1.tar.gz -C ${SRS_OBJS}/${SRS_PLATFORM} && 532 ( 533 # Opus requires automake 1.15, and fails for automake 1.16+, so we run autoreconf to fix it. 534 cd ${SRS_OBJS}/${SRS_PLATFORM}/opus-1.3.1 && autoreconf && 535 ./configure --prefix=${SRS_DEPENDS_LIBS}/${SRS_PLATFORM}/3rdparty/opus --enable-static $OPUS_OPTIONS 536 ) && 537 make -C ${SRS_OBJS}/${SRS_PLATFORM}/opus-1.3.1 ${SRS_JOBS} && 538 make -C ${SRS_OBJS}/${SRS_PLATFORM}/opus-1.3.1 install && 539 cp -rf ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/opus ${SRS_OBJS}/ && 540 echo "The opus-1.3.1 is ok." 541 fi 542 if [ ! -f ${SRS_OBJS}/opus/lib/libopus.a ]; then echo "Build opus-1.3.1 failed."; exit -1; fi 543 fi 544 545 ##################################################################################### 546 # ffmpeg-fit, for WebRTC to transcode AAC with Opus. 547 ##################################################################################### 548 if [[ $SRS_FFMPEG_FIT == YES && $SRS_USE_SYS_FFMPEG == YES ]]; then 549 echo "Warning: Use system ffmpeg, without compiling ffmpeg." 550 fi 551 if [[ $SRS_FFMPEG_FIT == YES && $SRS_USE_SYS_FFMPEG == NO ]]; then 552 FFMPEG_CONFIGURE="env SRS_FFMPEG_FIT=on" 553 if [[ $SRS_FFMPEG_OPUS != YES ]]; then 554 FFMPEG_CONFIGURE="$FFMPEG_CONFIGURE PKG_CONFIG_PATH=${SRS_DEPENDS_LIBS}/opus/lib/pkgconfig" 555 fi 556 FFMPEG_CONFIGURE="$FFMPEG_CONFIGURE ./configure" 557 558 # Disable all features, note that there are still some options need to be disabled. 559 FFMPEG_OPTIONS="--disable-everything" 560 # Disable all asm for FFmpeg, to compatible with ARM CPU. 561 FFMPEG_OPTIONS="$FFMPEG_OPTIONS --disable-asm --disable-x86asm --disable-inline-asm" 562 # Only build static libraries if no shared FFmpeg. 563 if [[ $SRS_SHARED_FFMPEG == YES ]]; then 564 FFMPEG_OPTIONS="$FFMPEG_OPTIONS --enable-shared" 565 fi 566 # For loongson/mips64, disable mips64r6, or build failed. 567 if [[ $OS_IS_MIPS64 == YES && $OS_IS_LOONGSON == YES ]]; then FFMPEG_OPTIONS="$FFMPEG_OPTIONS --disable-mips64r6"; fi 568 # For cross-build. 569 if [[ $SRS_CROSS_BUILD == YES ]]; then 570 FFMPEG_OPTIONS="$FFMPEG_OPTIONS --enable-cross-compile --target-os=linux --disable-pthreads" 571 FFMPEG_OPTIONS="$FFMPEG_OPTIONS --arch=$SRS_CROSS_BUILD_ARCH"; 572 if [[ $SRS_CROSS_BUILD_CPU != "" ]]; then FFMPEG_OPTIONS="$FFMPEG_OPTIONS --cpu=$SRS_CROSS_BUILD_CPU"; fi 573 FFMPEG_OPTIONS="$FFMPEG_OPTIONS --cross-prefix=$SRS_CROSS_BUILD_PREFIX" 574 FFMPEG_OPTIONS="$FFMPEG_OPTIONS --cc=${SRS_TOOL_CC} --cxx=${SRS_TOOL_CXX} --ar=${SRS_TOOL_AR} --ld=${SRS_TOOL_LD}" 575 fi 576 # For audio codec opus, use FFmpeg native one, or external libopus. 577 if [[ $SRS_FFMPEG_OPUS == YES ]]; then 578 # TODO: FIXME: Note that the audio might be corrupted, see https://github.com/ossrs/srs/issues/3140 579 FFMPEG_OPTIONS="$FFMPEG_OPTIONS --enable-decoder=opus --enable-encoder=opus" 580 else 581 FFMPEG_OPTIONS="$FFMPEG_OPTIONS --enable-decoder=libopus --enable-encoder=libopus --enable-libopus" 582 fi 583 # Disable features of ffmpeg. 584 FFMPEG_OPTIONS="$FFMPEG_OPTIONS --disable-avdevice --disable-avformat --disable-swscale --disable-postproc --disable-avfilter --disable-network" 585 FFMPEG_OPTIONS="$FFMPEG_OPTIONS --disable-dwt --disable-error-resilience --disable-lsp --disable-lzo --disable-faan --disable-pixelutils" 586 FFMPEG_OPTIONS="$FFMPEG_OPTIONS --disable-hwaccels --disable-devices --disable-audiotoolbox --disable-videotoolbox --disable-cuvid" 587 FFMPEG_OPTIONS="$FFMPEG_OPTIONS --disable-d3d11va --disable-dxva2 --disable-ffnvcodec --disable-nvdec --disable-nvenc --disable-v4l2-m2m --disable-vaapi" 588 FFMPEG_OPTIONS="$FFMPEG_OPTIONS --disable-vdpau --disable-appkit --disable-coreimage --disable-avfoundation --disable-securetransport --disable-iconv" 589 FFMPEG_OPTIONS="$FFMPEG_OPTIONS --disable-lzma --disable-sdl2" 590 # Enable FFmpeg native AAC encoder and decoder. 591 FFMPEG_OPTIONS="$FFMPEG_OPTIONS --enable-decoder=aac --enable-decoder=aac_fixed --enable-decoder=aac_latm --enable-encoder=aac" 592 # Enable FFmpeg native MP3 decoder, which depends on dct. 593 FFMPEG_OPTIONS="$FFMPEG_OPTIONS --enable-decoder=mp3 --enable-dct" 594 595 if [[ -f ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/ffmpeg/lib/libavcodec.a ]]; then 596 rm -rf ${SRS_OBJS}/ffmpeg && cp -rf ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/ffmpeg ${SRS_OBJS}/ && 597 echo "The ffmpeg-4-fit is ok." 598 else 599 echo "Building ffmpeg-4-fit." && 600 rm -rf ${SRS_OBJS}/${SRS_PLATFORM}/ffmpeg-4-fit ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/ffmpeg \ 601 ${SRS_OBJS}/ffmpeg && 602 cp -rf ${SRS_WORKDIR}/3rdparty/ffmpeg-4-fit ${SRS_OBJS}/${SRS_PLATFORM}/ && 603 ( 604 cd ${SRS_OBJS}/${SRS_PLATFORM}/ffmpeg-4-fit && 605 $FFMPEG_CONFIGURE --prefix=${SRS_DEPENDS_LIBS}/${SRS_PLATFORM}/3rdparty/ffmpeg \ 606 --pkg-config=pkg-config --pkg-config-flags='--static' --extra-libs='-lpthread' --extra-libs='-lm' \ 607 ${FFMPEG_OPTIONS} 608 ) && 609 # See https://www.laoyuyu.me/2019/05/23/android/clang_compile_ffmpeg/ 610 if [[ $SRS_CROSS_BUILD == YES ]]; then 611 sed -i -e 's/#define getenv(x) NULL/\/\*#define getenv(x) NULL\*\//g' ${SRS_OBJS}/${SRS_PLATFORM}/ffmpeg-4-fit/config.h && 612 sed -i -e 's/#define HAVE_GMTIME_R 0/#define HAVE_GMTIME_R 1/g' ${SRS_OBJS}/${SRS_PLATFORM}/ffmpeg-4-fit/config.h && 613 sed -i -e 's/#define HAVE_LOCALTIME_R 0/#define HAVE_LOCALTIME_R 1/g' ${SRS_OBJS}/${SRS_PLATFORM}/ffmpeg-4-fit/config.h && 614 # For MIPS, which fail with: 615 # ./libavutil/libm.h:54:32: error: static declaration of 'cbrt' follows non-static declaration 616 # /root/openwrt/staging_dir/toolchain-mipsel_24kc_gcc-8.4.0_musl/include/math.h:163:13: note: previous declaration of 'cbrt' was here 617 if [[ $SRS_CROSS_BUILD_ARCH == "mipsel" || $SRS_CROSS_BUILD_ARCH == "arm" || $SRS_CROSS_BUILD_ARCH == "aarch64" ]]; then 618 sed -i -e 's/#define HAVE_CBRT 0/#define HAVE_CBRT 1/g' ${SRS_OBJS}/${SRS_PLATFORM}/ffmpeg-4-fit/config.h && 619 sed -i -e 's/#define HAVE_CBRTF 0/#define HAVE_CBRTF 1/g' ${SRS_OBJS}/${SRS_PLATFORM}/ffmpeg-4-fit/config.h && 620 sed -i -e 's/#define HAVE_COPYSIGN 0/#define HAVE_COPYSIGN 1/g' ${SRS_OBJS}/${SRS_PLATFORM}/ffmpeg-4-fit/config.h && 621 sed -i -e 's/#define HAVE_ERF 0/#define HAVE_ERF 1/g' ${SRS_OBJS}/${SRS_PLATFORM}/ffmpeg-4-fit/config.h && 622 sed -i -e 's/#define HAVE_HYPOT 0/#define HAVE_HYPOT 1/g' ${SRS_OBJS}/${SRS_PLATFORM}/ffmpeg-4-fit/config.h && 623 sed -i -e 's/#define HAVE_RINT 0/#define HAVE_RINT 1/g' ${SRS_OBJS}/${SRS_PLATFORM}/ffmpeg-4-fit/config.h && 624 sed -i -e 's/#define HAVE_LRINT 0/#define HAVE_LRINT 1/g' ${SRS_OBJS}/${SRS_PLATFORM}/ffmpeg-4-fit/config.h && 625 sed -i -e 's/#define HAVE_LRINTF 0/#define HAVE_LRINTF 1/g' ${SRS_OBJS}/${SRS_PLATFORM}/ffmpeg-4-fit/config.h && 626 sed -i -e 's/#define HAVE_ROUND 0/#define HAVE_ROUND 1/g' ${SRS_OBJS}/${SRS_PLATFORM}/ffmpeg-4-fit/config.h && 627 sed -i -e 's/#define HAVE_ROUNDF 0/#define HAVE_ROUNDF 1/g' ${SRS_OBJS}/${SRS_PLATFORM}/ffmpeg-4-fit/config.h && 628 sed -i -e 's/#define HAVE_TRUNC 0/#define HAVE_TRUNC 1/g' ${SRS_OBJS}/${SRS_PLATFORM}/ffmpeg-4-fit/config.h && 629 sed -i -e 's/#define HAVE_TRUNCF 0/#define HAVE_TRUNCF 1/g' ${SRS_OBJS}/${SRS_PLATFORM}/ffmpeg-4-fit/config.h && 630 echo "FFmpeg sed ok" 631 fi 632 fi && 633 make -C ${SRS_OBJS}/${SRS_PLATFORM}/ffmpeg-4-fit ${SRS_JOBS} && 634 make -C ${SRS_OBJS}/${SRS_PLATFORM}/ffmpeg-4-fit install && 635 cp -rf ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/ffmpeg ${SRS_OBJS}/ && 636 echo "The ffmpeg-4-fit is ok." 637 fi 638 # check status 639 ret=$?; if [[ $ret -ne 0 ]]; then echo "Build ffmpeg-4-fit failed, ret=$ret"; exit $ret; fi 640 fi 641 642 ##################################################################################### 643 # live transcoding, ffmpeg-4.1, x264-core157, lame-3.99.5, libaacplus-2.0.2. 644 ##################################################################################### 645 # Guess where is the ffmpeg. 646 SYSTEMP_FFMPEG_BIN=`which ffmpeg` 647 # Always link the ffmpeg tools if exists. 648 if [[ -f $SYSTEMP_FFMPEG_BIN && ! -f ${SRS_OBJS}/ffmpeg/bin/ffmpeg ]]; then 649 mkdir -p ${SRS_OBJS}/ffmpeg/bin && 650 cp -f $SYSTEMP_FFMPEG_BIN ${SRS_OBJS}/ffmpeg/bin/ 651 fi 652 if [[ $SRS_FFMPEG_TOOL == YES ]]; then 653 if [[ -f ${SRS_OBJS}/ffmpeg/bin/ffmpeg ]]; then 654 cp -f $SYSTEMP_FFMPEG_BIN ${SRS_OBJS}/ffmpeg/bin/ && 655 echo "ffmpeg-4.1 is ok."; 656 else 657 echo -e "${RED}Error: No FFmpeg found at /usr/local/bin/ffmpeg${BLACK}" 658 echo -e "${RED} Please copy it from srs-docker${BLACK}" 659 echo -e "${RED} or download from http://ffmpeg.org/download.html${BLACK}" 660 echo -e "${RED} or disable it by --without-ffmpeg${BLACK}" 661 exit -1; 662 fi 663 fi 664 665 ##################################################################################### 666 # SRT module, https://github.com/ossrs/srs/issues/1147#issuecomment-577469119 667 ##################################################################################### 668 if [[ $SRS_SRT == YES && $SRS_USE_SYS_SRT == YES ]]; then 669 echo "Warning: Use system libsrt, without compiling srt." 670 fi 671 if [[ $SRS_SRT == YES && $SRS_USE_SYS_SRT == NO ]]; then 672 # Always disable c++11 for libsrt, because only the srt-app requres it. 673 LIBSRT_OPTIONS="--enable-apps=0 --enable-static=1 --enable-c++11=0" 674 if [[ $SRS_SHARED_SRT == YES ]]; then 675 LIBSRT_OPTIONS="$LIBSRT_OPTIONS --enable-shared=1" 676 else 677 LIBSRT_OPTIONS="$LIBSRT_OPTIONS --enable-shared=0" 678 fi 679 # For windows build, over cygwin 680 if [[ $SRS_CYGWIN64 == YES ]]; then 681 LIBSRT_OPTIONS="$LIBSRT_OPTIONS --cygwin-use-posix" 682 fi 683 # For cross-build. 684 if [[ $SRS_CROSS_BUILD == YES ]]; then 685 TOOL_GCC_REALPATH=$(realpath $(which $SRS_TOOL_CC)) 686 SRT_COMPILER_PREFIX=$(echo $TOOL_GCC_REALPATH |sed 's/-gcc.*$/-/') 687 LIBSRT_OPTIONS="$LIBSRT_OPTIONS --with-compiler-prefix=$SRT_COMPILER_PREFIX" 688 fi 689 690 if [[ -f ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/srt/lib/libsrt.a ]]; then 691 rm -rf ${SRS_OBJS}/srt && cp -rf ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/srt ${SRS_OBJS}/ && 692 echo "libsrt-1-fit is ok." 693 else 694 if [[ $SRS_USE_SYS_SSL != YES && ! -d ${SRS_OBJS}/openssl/lib/pkgconfig ]]; then 695 echo "OpenSSL pkgconfig no found, build srt-1-fit failed." 696 exit -1 697 fi 698 echo "Build srt-1-fit" && 699 rm -rf ${SRS_OBJS}/${SRS_PLATFORM}/srt-1-fit ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/srt ${SRS_OBJS}/srt && 700 cp -rf ${SRS_WORKDIR}/3rdparty/srt-1-fit ${SRS_OBJS}/${SRS_PLATFORM}/ && 701 patch -p0 -R ${SRS_OBJS}/${SRS_PLATFORM}/srt-1-fit/srtcore/api.cpp ${SRS_WORKDIR}/3rdparty/patches/srt/api.cpp-01.patch && 702 ( 703 cd ${SRS_OBJS}/${SRS_PLATFORM}/srt-1-fit && 704 env PKG_CONFIG_PATH=${SRS_DEPENDS_LIBS}/openssl/lib/pkgconfig \ 705 ./configure --prefix=${SRS_DEPENDS_LIBS}/${SRS_PLATFORM}/3rdparty/srt $LIBSRT_OPTIONS 706 ) && 707 make -C ${SRS_OBJS}/${SRS_PLATFORM}/srt-1-fit ${SRS_JOBS} && 708 make -C ${SRS_OBJS}/${SRS_PLATFORM}/srt-1-fit install && 709 # If exists lib64 of libsrt, copy it to lib 710 if [[ -d ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/srt/lib64 ]]; then 711 cp -rf ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/srt/lib64 ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/srt/lib 712 fi && 713 cp -rf ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/srt ${SRS_OBJS}/ && 714 echo "libsrt-1-fit is ok." 715 fi 716 ret=$?; if [[ $ret -ne 0 ]]; then echo "Build srt-1-fit failed, ret=$ret"; exit $ret; fi 717 fi 718 719 ##################################################################################### 720 # build utest code 721 ##################################################################################### 722 if [[ $SRS_UTEST == YES ]]; then 723 if [[ -f ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/gtest/googletest/include/gtest/gtest.h ]]; then 724 rm -rf ${SRS_OBJS}/gtest && cp -rf ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/gtest ${SRS_OBJS}/ && 725 echo "The gtest-fit is ok." 726 else 727 echo "Build gtest-fit" && 728 rm -rf ${SRS_OBJS}/${SRS_PLATFORM}gtest-fit ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/gtest ${SRS_OBJS}/gtest && 729 cp -rf ${SRS_WORKDIR}/3rdparty/gtest-fit ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/gtest && 730 cp -rf ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/gtest ${SRS_OBJS}/ && 731 echo "The gtest-fit is ok." 732 fi 733 # check status 734 ret=$?; if [[ $ret -ne 0 ]]; then echo "Build gtest-1.6.0 failed, ret=$ret"; exit $ret; fi 735 fi 736 737 ##################################################################################### 738 # build gperf code 739 ##################################################################################### 740 if [[ $SRS_GPERF == YES ]]; then 741 if [[ -f ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/gperf/bin/pprof ]]; then 742 rm -rf ${SRS_OBJS}/gperf && cp -rf ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/gperf ${SRS_OBJS}/ && 743 cp -f ${SRS_OBJS}/gperf/bin/pprof ${SRS_OBJS}/ && 744 echo "The gperftools-2-fit is ok." 745 else 746 echo "Build gperftools-2-fit" && 747 rm -rf ${SRS_OBJS}/${SRS_PLATFORM}/gperftools-2-fit ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/gperf \ 748 ${SRS_OBJS}/gperf ${SRS_OBJS}/pprof && 749 cp -rf ${SRS_WORKDIR}/3rdparty/gperftools-2-fit ${SRS_OBJS}/${SRS_PLATFORM}/ && 750 ( 751 cd ${SRS_OBJS}/${SRS_PLATFORM}/gperftools-2-fit && 752 ./configure --prefix=${SRS_DEPENDS_LIBS}/${SRS_PLATFORM}/3rdparty/gperf --enable-frame-pointers 753 ) && 754 make -C ${SRS_OBJS}/${SRS_PLATFORM}/gperftools-2-fit ${SRS_JOBS} && 755 make -C ${SRS_OBJS}/${SRS_PLATFORM}/gperftools-2-fit install && 756 cp -rf ${SRS_OBJS}/${SRS_PLATFORM}/3rdparty/gperf ${SRS_OBJS}/ && 757 cp -f ${SRS_OBJS}/gperf/bin/pprof ${SRS_OBJS}/ && 758 echo "The gperftools-2-fit is ok." 759 fi 760 # check status 761 ret=$?; if [[ $ret -ne 0 ]]; then echo "Build gperftools-2-fit failed, ret=$ret"; exit $ret; fi 762 fi 分析一下这个脚本都是什么功能 如果我想新增一个能编译app/srs_app_jwt.cpp的功能怎么添加，请帮我添加
07-23
我们首先分析deps.sh脚本的... pacman -S mingw-w64-x86_64-jwt-cpp fi ``` 4. **版本控制** 在 `deps.sh` 中指定 JWT 版本： ```bash git clone --branch v0.6.0 https://github.com/Thalhammer/jwt-cpp ```
iOS开发～制作同时支持armv7,armv7s,arm64,i386,x86_64的静态库.a
热门推荐
阿福的专栏
01-04 3万+
一、概要 平时项目开发中，可能使用第三方提供的静态库.a，如果.a提供方技术不成熟，使用的时候就会出现问题，例如： 在真机上编译报错：No architectures to compile for (ONLY_ACTIVE_ARCH=YES, active arch=x86_64, VALID_ARCHS=i386). 在模拟器上编译报错：No architectures to compil
PowerShell 7 环境已加载 (版本: 7.5.2) PowerShell 7 环境已加载 (版本: 7.5.2) PS C:\Users\Administrator\Desktop> cd E:\PyTorch_Build\pytorch PS E:\PyTorch_Build\pytorch> .\pytorch_env\Scripts\activate (pytorch_env) PS E:\PyTorch_Build\pytorch> # 退出虚拟环境 (pytorch_env) PS E:\PyTorch_Build\pytorch> deactivate PS E:\PyTorch_Build\pytorch> PS E:\PyTorch_Build\pytorch> # 删除旧环境 PS E:\PyTorch_Build\pytorch> Remove-Item -Recurse -Force .\pytorch_env PS E:\PyTorch_Build\pytorch> Remove-Item -Recurse -Force .\cuda_env PS E:\PyTorch_Build\pytorch> PS E:\PyTorch_Build\pytorch> # 创建新虚拟环境 PS E:\PyTorch_Build\pytorch> python -m venv rtx5070_env PS E:\PyTorch_Build\pytorch> .\rtx5070_env\Scripts\activate (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 安装基础编译工具 (rtx5070_env) PS E:\PyTorch_Build\pytorch> pip install -U pip setuptools wheel ninja cmake Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple Requirement already satisfied: pip in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (22.3.1) Collecting pip Using cached https://pypi.tuna.tsinghua.edu.cn/packages/b7/3f/945ef7ab14dc4f9d7f40288d2df998d1837ee0888ec3659c813487572faa/pip-25.2-py3-none-any.whl (1.8 MB) Requirement already satisfied: setuptools in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (65.5.0) Collecting setuptools Using cached https://pypi.tuna.tsinghua.edu.cn/packages/a3/dc/17031897dae0efacfea57dfd3a82fdd2a2aeb58e0ff71b77b87e44edc772/setuptools-80.9.0-py3-none-any.whl (1.2 MB) Collecting wheel Using cached https://pypi.tuna.tsinghua.edu.cn/packages/0b/2c/87f3254fd8ffd29e4c02732eee68a83a1d3c346ae39bc6822dcbcb697f2b/wheel-0.45.1-py3-none-any.whl (72 kB) Collecting ninja Using cached https://pypi.tuna.tsinghua.edu.cn/packages/29/45/c0adfbfb0b5895aa18cec400c535b4f7ff3e52536e0403602fc1a23f7de9/ninja-1.13.0-py3-none-win_amd64.whl (309 kB) Collecting cmake Using cached https://pypi.tuna.tsinghua.edu.cn/packages/7c/d0/73cae88d8c25973f2465d5a4457264f95617c16ad321824ed4c243734511/cmake-4.1.0-py3-none-win_amd64.whl (37.6 MB) ERROR: To modify pip, please run the following command: E:\PyTorch_Build\pytorch\rtx5070_env\Scripts\python.exe -m pip install -U pip setuptools wheel ninja cmake [notice] A new release of pip available: 22.3.1 -> 25.2 [notice] To update, run: python.exe -m pip install --upgrade pip (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 验证 CUDA 安装 (rtx5070_env) PS E:\PyTorch_Build\pytorch> nvcc --version # 应显示 CUDA 12.x nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2025 NVIDIA Corporation Built on Wed_Jul_16_20:06:48_Pacific_Daylight_Time_2025 Cuda compilation tools, release 13.0, V13.0.48 Build cuda_13.0.r13.0/compiler.36260728_0 (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 正确更新 pip 和工具链 (rtx5070_env) PS E:\PyTorch_Build\pytorch> python -m pip install -U pip setuptools wheel ninja cmake Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple Requirement already satisfied: pip in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (22.3.1) Collecting pip Using cached https://pypi.tuna.tsinghua.edu.cn/packages/b7/3f/945ef7ab14dc4f9d7f40288d2df998d1837ee0888ec3659c813487572faa/pip-25.2-py3-none-any.whl (1.8 MB) Requirement already satisfied: setuptools in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (65.5.0) Collecting setuptools Using cached https://pypi.tuna.tsinghua.edu.cn/packages/a3/dc/17031897dae0efacfea57dfd3a82fdd2a2aeb58e0ff71b77b87e44edc772/setuptools-80.9.0-py3-none-any.whl (1.2 MB) Collecting wheel Using cached https://pypi.tuna.tsinghua.edu.cn/packages/0b/2c/87f3254fd8ffd29e4c02732eee68a83a1d3c346ae39bc6822dcbcb697f2b/wheel-0.45.1-py3-none-any.whl (72 kB) Collecting ninja Using cached https://pypi.tuna.tsinghua.edu.cn/packages/29/45/c0adfbfb0b5895aa18cec400c535b4f7ff3e52536e0403602fc1a23f7de9/ninja-1.13.0-py3-none-win_amd64.whl (309 kB) Collecting cmake Using cached https://pypi.tuna.tsinghua.edu.cn/packages/7c/d0/73cae88d8c25973f2465d5a4457264f95617c16ad321824ed4c243734511/cmake-4.1.0-py3-none-win_amd64.whl (37.6 MB) Installing collected packages: wheel, setuptools, pip, ninja, cmake Attempting uninstall: setuptools Found existing installation: setuptools 65.5.0 Uninstalling setuptools-65.5.0: Successfully uninstalled setuptools-65.5.0 Attempting uninstall: pip Found existing installation: pip 22.3.1 Uninstalling pip-22.3.1: Successfully uninstalled pip-22.3.1 Successfully installed cmake-4.1.0 ninja-1.13.0 pip-25.2 setuptools-80.9.0 wheel-0.45.1 (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 验证版本 (rtx5070_env) PS E:\PyTorch_Build\pytorch> pip --version # 应显示 25.2+ pip 25.2 from E:\PyTorch_Build\pytorch\rtx5070_env\lib\site-packages\pip (python 3.10) (rtx5070_env) PS E:\PyTorch_Build\pytorch> cmake --version # 应显示 4.1.0+ cmake version 4.1.0 CMake suite maintained and supported by Kitware (kitware.com/cmake). (rtx5070_env) PS E:\PyTorch_Build\pytorch> ninja --version # 应显示 1.13.0+ 1.13.0.git.kitware.jobserver-pipe-1 (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 设置 CUDA 12.1 环境变量 (rtx5070_env) PS E:\PyTorch_Build\pytorch> $env:CUDA_PATH = "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1" (rtx5070_env) PS E:\PyTorch_Build\pytorch> $env:PATH = "$env:CUDA_PATH\bin;" + $env:PATH (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 验证 CUDA 版本 (rtx5070_env) PS E:\PyTorch_Build\pytorch> nvcc --version # 应显示 release 12.1 nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2025 NVIDIA Corporation Built on Wed_Jul_16_20:06:48_Pacific_Daylight_Time_2025 Cuda compilation tools, release 13.0, V13.0.48 Build cuda_13.0.r13.0/compiler.36260728_0 (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 设置 cuDNN 路径（根据实际安装位置） (rtx5070_env) PS E:\PyTorch_Build\pytorch> $env:CUDNN_INCLUDE_DIR = "$env:CUDA_PATH\include" (rtx5070_env) PS E:\PyTorch_Build\pytorch> $env:CUDNN_LIBRARY = "$env:CUDA_PATH\lib\x64\cudnn.lib" (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 安装必要依赖 (rtx5070_env) PS E:\PyTorch_Build\pytorch> pip install pyyaml numpy typing_extensions Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple Collecting pyyaml Using cached https://pypi.tuna.tsinghua.edu.cn/packages/b5/84/0fa4b06f6d6c958d207620fc60005e241ecedceee58931bb20138e1e5776/PyYAML-6.0.2-cp310-cp310-win_amd64.whl (161 kB) Collecting numpy Using cached https://pypi.tuna.tsinghua.edu.cn/packages/a3/dd/4b822569d6b96c39d1215dbae0582fd99954dcbcf0c1a13c61783feaca3f/numpy-2.2.6-cp310-cp310-win_amd64.whl (12.9 MB) Collecting typing_extensions Using cached https://pypi.tuna.tsinghua.edu.cn/packages/18/67/36e9267722cc04a6b9f15c7f3441c2363321a3ea07da7ae0c0707beb2a9c/typing_extensions-4.15.0-py3-none-any.whl (44 kB) Installing collected packages: typing_extensions, pyyaml, numpy Successfully installed numpy-2.2.6 pyyaml-6.0.2 typing_extensions-4.15.0 (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 安装 GPU 相关依赖 (rtx5070_env) PS E:\PyTorch_Build\pytorch> pip install mkl mkl-include intel-openmp Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple Collecting mkl Using cached https://pypi.tuna.tsinghua.edu.cn/packages/91/ae/025174ee141432b974f97ecd2aea529a3bdb547392bde3dd55ce48fe7827/mkl-2025.2.0-py2.py3-none-win_amd64.whl (153.6 MB) Collecting mkl-include Using cached https://pypi.tuna.tsinghua.edu.cn/packages/06/87/3eee37bf95c6b820b6394ad98e50132798514ecda1b2584c71c2c96b973c/mkl_include-2025.2.0-py2.py3-none-win_amd64.whl (1.3 MB) Collecting intel-openmp Using cached https://pypi.tuna.tsinghua.edu.cn/packages/89/ed/13fed53fcc7ea17ff84095e89e63418df91d4eeefdc74454243d529bf5a3/intel_openmp-2025.2.1-py2.py3-none-win_amd64.whl (34.0 MB) Collecting tbb==2022.* (from mkl) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/4e/d2/01e2a93f9c644585088188840bf453f23ed1a2838ec51d5ba1ada1ebca71/tbb-2022.2.0-py3-none-win_amd64.whl (420 kB) Collecting intel-cmplr-lib-ur==2025.2.1 (from intel-openmp) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/a8/70/938e81f58886fd4e114d5a5480d98c1396e73e40b7650f566ad0c4395311/intel_cmplr_lib_ur-2025.2.1-py2.py3-none-win_amd64.whl (1.2 MB) Collecting umf==0.11.* (from intel-cmplr-lib-ur==2025.2.1->intel-openmp) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/33/a0/c8d755f08f50ddd99cb4a29a7e950ced7a0903cb72253e57059063609103/umf-0.11.0-py2.py3-none-win_amd64.whl (231 kB) Collecting tcmlib==1.* (from tbb==2022.*->mkl) Using cached https://pypi.tuna.tsinghua.edu.cn/packages/91/7b/e30c461a27b97e0090e4db822eeb1d37b310863241f8c3ee56f68df3e76e/tcmlib-1.4.0-py2.py3-none-win_amd64.whl (370 kB) Installing collected packages: tcmlib, mkl-include, umf, tbb, intel-cmplr-lib-ur, intel-openmp, mkl Successfully installed intel-cmplr-lib-ur-2025.2.1 intel-openmp-2025.2.1 mkl-2025.2.0 mkl-include-2025.2.0 tbb-2022.2.0 tcmlib-1.4.0 umf-0.11.0 (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 安装必要依赖 (rtx5070_env) PS E:\PyTorch_Build\pytorch> pip install pyyaml numpy typing_extensions Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple Requirement already satisfied: pyyaml in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (6.0.2) Requirement already satisfied: numpy in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (2.2.6) Requirement already satisfied: typing_extensions in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (4.15.0) (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 安装 GPU 相关依赖 (rtx5070_env) PS E:\PyTorch_Build\pytorch> pip install mkl mkl-include intel-openmp Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple Requirement already satisfied: mkl in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (2025.2.0) Requirement already satisfied: mkl-include in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (2025.2.0) Requirement already satisfied: intel-openmp in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (2025.2.1) Requirement already satisfied: tbb==2022.* in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from mkl) (2022.2.0) Requirement already satisfied: intel-cmplr-lib-ur==2025.2.1 in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from intel-openmp) (2025.2.1) Requirement already satisfied: umf==0.11.* in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from intel-cmplr-lib-ur==2025.2.1->intel-openmp) (0.11.0) Requirement already satisfied: tcmlib==1.* in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from tbb==2022.*->mkl) (1.4.0) (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 设置编译参数 (rtx5070_env) PS E:\PyTorch_Build\pytorch> $env:USE_CUDA=1 (rtx5070_env) PS E:\PyTorch_Build\pytorch> $env:USE_CUDNN=1 (rtx5070_env) PS E:\PyTorch_Build\pytorch> $env:CMAKE_GENERATOR="Ninja" (rtx5070_env) PS E:\PyTorch_Build\pytorch> $env:MAX_JOBS=8 # 根据 CPU 核心数设置 (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 运行编译 (rtx5070_env) PS E:\PyTorch_Build\pytorch> python setup.py install ` >> --cmake ` >> --cmake-only ` >> --cmake-generator="Ninja" ` >> --verbose ` >> -DCMAKE_CUDA_COMPILER="${env:CUDA_PATH}\bin\nvcc.exe" ` >> -DCUDNN_INCLUDE_DIR="${env:CUDNN_INCLUDE_DIR}" ` >> -DCUDNN_LIBRARY="${env:CUDNN_LIBRARY}" ` >> -DTORCH_CUDA_ARCH_LIST="8.9;9.0;12.0" Building wheel torch-2.9.0a0+git2d31c3d option --cmake-generator not recognized (rtx5070_env) PS E:\PyTorch_Build\pytorch> python rtx5070_test.py ============================================================ Traceback (most recent call last): File "E:\PyTorch_Build\pytorch\rtx5070_test.py", line 39, in <module> verify_gpu_support() File "E:\PyTorch_Build\pytorch\rtx5070_test.py", line 6, in verify_gpu_support if not torch.cuda.is_available(): AttributeError: module 'torch' has no attribute 'cuda' (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 设置编译架构参数 (rtx5070_env) PS E:\PyTorch_Build\pytorch> $env:TORCH_CUDA_ARCH_LIST="8.9;9.0;12.0" (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 使用正确的编译命令 (rtx5070_env) PS E:\PyTorch_Build\pytorch> python setup.py install ` >> --cmake ` >> --verbose ` >> -DCMAKE_CUDA_COMPILER="${env:CUDA_PATH}\bin\nvcc.exe" ` >> -DCUDNN_INCLUDE_DIR="${env:CUDNN_INCLUDE_DIR}" ` >> -DCUDNN_LIBRARY="${env:CUDNN_LIBRARY}" ` >> -DCMAKE_GENERATOR="Ninja" ` >> -DUSE_CUDA=ON ` >> -DUSE_CUDNN=ON Building wheel torch-2.9.0a0+git2d31c3d option -D not recognized (rtx5070_env) PS E:\PyTorch_Build\pytorch> python enhanced_test.py ============================================================ Python 版本: 3.10.10 Traceback (most recent call last): File "E:\PyTorch_Build\pytorch\enhanced_test.py", line 64, in <module> verify_installation() File "E:\PyTorch_Build\pytorch\enhanced_test.py", line 11, in verify_installation print(f"\nPyTorch 版本: {torch.__version__}") AttributeError: module 'torch' has no attribute '__version__' (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 清除之前的构建 (rtx5070_env) PS E:\PyTorch_Build\pytorch> python setup.py clean --all Building wheel torch-2.9.0a0+git2d31c3d E:\PyTorch_Build\pytorch\rtx5070_env\lib\site-packages\setuptools\config\_apply_pyprojecttoml.py:82: SetuptoolsDeprecationWarning: `project.license` as a TOML table is deprecated !! ******************************************************************************** Please use a simple string containing a SPDX expression for `project.license`. You can also use `project.license-files`. (Both options available on setuptools>=77.0.0). By 2026-Feb-18, you need to update your project and remove deprecated calls or your builds will no longer be supported. See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. ******************************************************************************** !! corresp(dist, value, root_dir) usage: setup.py [global_opts] cmd1 [cmd1_opts] [cmd2 [cmd2_opts] ...] or: setup.py --help [cmd1 cmd2 ...] or: setup.py --help-commands or: setup.py cmd --help error: option --all not recognized (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 设置编译架构参数 (rtx5070_env) PS E:\PyTorch_Build\pytorch> $env:TORCH_CUDA_ARCH_LIST="8.9;9.0;12.0" (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 使用正确的编译命令（Windows专用） (rtx5070_env) PS E:\PyTorch_Build\pytorch> python setup.py install ` >> --cmake ` >> --cmake-args="-DCMAKE_CUDA_COMPILER='$env:CUDA_PATH\bin\nvcc.exe' ` >> -DCUDNN_INCLUDE_DIR='$env:CUDNN_INCLUDE_DIR' ` >> -DCUDNN_LIBRARY='$env:CUDNN_LIBRARY' ` >> -DCMAKE_GENERATOR='Ninja' ` >> -DUSE_CUDA=ON ` >> -DUSE_CUDNN=ON" ` >> --verbose ` >> --jobs=$env:MAX_JOBS Building wheel torch-2.9.0a0+git2d31c3d option --cmake-args not recognized (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 使用 PyTorch 官方构建工具 (rtx5070_env) PS E:\PyTorch_Build\pytorch> pip install -U setuptools wheel Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple Requirement already satisfied: setuptools in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (80.9.0) Requirement already satisfied: wheel in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (0.45.1) (rtx5070_env) PS E:\PyTorch_Build\pytorch> python setup.py bdist_wheel Building wheel torch-2.9.0a0+git2d31c3d -- Building version 2.9.0a0+git2d31c3d E:\PyTorch_Build\pytorch\rtx5070_env\lib\site-packages\setuptools\_distutils\_msvccompiler.py:12: UserWarning: _get_vc_env is private; find an alternative (pypa/distutils#340) warnings.warn( -- Checkout nccl release tag: v2.27.5-1 cmake -GNinja -DBUILD_PYTHON=True -DBUILD_TEST=True -DCMAKE_BUILD_TYPE=Release -DCMAKE_GENERATOR=Ninja -DCMAKE_INSTALL_PREFIX=E:\PyTorch_Build\pytorch\torch -DCMAKE_PREFIX_PATH=E:\PyTorch_Build\pytorch\rtx5070_env\Lib\site-packages -DCUDNN_INCLUDE_DIR=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include -DCUDNN_LIBRARY=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\lib\x64\cudnn.lib -DPython_EXECUTABLE=E:\PyTorch_Build\pytorch\rtx5070_env\Scripts\python.exe -DPython_NumPy_INCLUDE_DIR=E:\PyTorch_Build\pytorch\rtx5070_env\lib\site-packages\numpy\_core\include -DTORCH_BUILD_VERSION=2.9.0a0+git2d31c3d -DTORCH_CUDA_ARCH_LIST=8.9;9.0;12.0 -DUSE_CUDA=1 -DUSE_CUDNN=1 -DUSE_NUMPY=True E:\PyTorch_Build\pytorch CMake Deprecation Warning at CMakeLists.txt:18 (cmake_policy): The OLD behavior for policy CMP0126 will be removed from a future version of CMake. The cmake-policies(7) manual explains that the OLD behaviors of all policies are deprecated and that a policy should be set to OLD only under specific short-term circumstances. Projects should be ported to the NEW behavior and not rely on setting a policy to OLD. -- The CXX compiler identification is MSVC 19.44.35215.0 -- The C compiler identification is MSVC 19.44.35215.0 -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: C:/Program Files (x86)/Microsoft Visual Studio/2022/BuildTools/VC/Tools/MSVC/14.44.35207/bin/Hostx64/x64/cl.exe - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: C:/Program Files (x86)/Microsoft Visual Studio/2022/BuildTools/VC/Tools/MSVC/14.44.35207/bin/Hostx64/x64/cl.exe - skipped -- Detecting C compile features -- Detecting C compile features - done -- Not forcing any particular BLAS to be found CMake Warning at CMakeLists.txt:425 (message): TensorPipe cannot be used on Windows. Set it to OFF CMake Warning at CMakeLists.txt:427 (message): KleidiAI cannot be used on Windows. Set it to OFF CMake Warning at CMakeLists.txt:439 (message): Libuv is not installed in current conda env. Set USE_DISTRIBUTED to OFF. Please run command 'conda install -c conda-forge libuv=1.39' to install libuv. -- Performing Test C_HAS_AVX_1 -- Performing Test C_HAS_AVX_1 - Success -- Performing Test C_HAS_AVX2_1 -- Performing Test C_HAS_AVX2_1 - Success -- Performing Test C_HAS_AVX512_1 -- Performing Test C_HAS_AVX512_1 - Success -- Performing Test CXX_HAS_AVX_1 -- Performing Test CXX_HAS_AVX_1 - Success -- Performing Test CXX_HAS_AVX2_1 -- Performing Test CXX_HAS_AVX2_1 - Success -- Performing Test CXX_HAS_AVX512_1 -- Performing Test CXX_HAS_AVX512_1 - Success -- Current compiler supports avx2 extension. Will build perfkernels. -- Performing Test COMPILER_SUPPORTS_HIDDEN_VISIBILITY -- Performing Test COMPILER_SUPPORTS_HIDDEN_VISIBILITY - Failed -- Performing Test COMPILER_SUPPORTS_HIDDEN_INLINE_VISIBILITY -- Performing Test COMPILER_SUPPORTS_HIDDEN_INLINE_VISIBILITY - Failed -- Could not find hardware support for NEON on this machine. -- No OMAP3 processor on this machine. -- No OMAP4 processor on this machine. -- Compiler does not support SVE extension. Will not build perfkernels. CMake Warning at CMakeLists.txt:845 (message): x64 operating system is required for FBGEMM. Not compiling with FBGEMM. Turn this warning off by USE_FBGEMM=OFF. -- Performing Test HAS/UTF_8 -- Performing Test HAS/UTF_8 - Success -- Found CUDA: E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0 (found version "13.0") -- The CUDA compiler identification is NVIDIA 13.0.48 with host compiler MSVC 19.44.35215.0 -- Detecting CUDA compiler ABI info -- Detecting CUDA compiler ABI info - done -- Check for working CUDA compiler: E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/bin/nvcc.exe - skipped -- Detecting CUDA compile features -- Detecting CUDA compile features - done -- Found CUDAToolkit: E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/include (found version "13.0.48") -- PyTorch: CUDA detected: 13.0 -- PyTorch: CUDA nvcc is: E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/bin/nvcc.exe -- PyTorch: CUDA toolkit directory: E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0 -- PyTorch: Header version is: 13.0 -- Found Python: E:\PyTorch_Build\pytorch\rtx5070_env\Scripts\python.exe (found version "3.10.10") found components: Interpreter CMake Warning at cmake/public/cuda.cmake:140 (message): Failed to compute shorthash for libnvrtc.so Call Stack (most recent call first): cmake/Dependencies.cmake:44 (include) CMakeLists.txt:873 (include) -- Could NOT find CUDNN (missing: CUDNN_LIBRARY_PATH CUDNN_INCLUDE_PATH) CMake Warning at cmake/public/cuda.cmake:201 (message): Cannot find cuDNN library. Turning the option off Call Stack (most recent call first): cmake/Dependencies.cmake:44 (include) CMakeLists.txt:873 (include) -- Could NOT find CUSPARSELT (missing: CUSPARSELT_LIBRARY_PATH CUSPARSELT_INCLUDE_PATH) CMake Warning at cmake/public/cuda.cmake:226 (message): Cannot find cuSPARSELt library. Turning the option off Call Stack (most recent call first): cmake/Dependencies.cmake:44 (include) CMakeLists.txt:873 (include) -- Could NOT find CUDSS (missing: CUDSS_LIBRARY_PATH CUDSS_INCLUDE_PATH) CMake Warning at cmake/public/cuda.cmake:242 (message): Cannot find CUDSS library. Turning the option off Call Stack (most recent call first): cmake/Dependencies.cmake:44 (include) CMakeLists.txt:873 (include) -- USE_CUFILE is set to 0. Compiling without cuFile support CMake Warning at cmake/public/cuda.cmake:317 (message): pytorch is not compatible with `CMAKE_CUDA_ARCHITECTURES` and will ignore its value. Please configure `TORCH_CUDA_ARCH_LIST` instead. Call Stack (most recent call first): cmake/Dependencies.cmake:44 (include) CMakeLists.txt:873 (include) -- Added CUDA NVCC flags for: -gencode;arch=compute_89,code=sm_89;-gencode;arch=compute_90,code=sm_90;-gencode;arch=compute_120,code=sm_120 CMake Warning at cmake/Dependencies.cmake:95 (message): Not compiling with XPU. Could NOT find SYCL. Suppress this warning with -DUSE_XPU=OFF. Call Stack (most recent call first): CMakeLists.txt:873 (include) -- Building using own protobuf under third_party per request. -- Use custom protobuf build. CMake Warning at cmake/ProtoBuf.cmake:37 (message): Ancient protobuf forces CMake compatibility Call Stack (most recent call first): cmake/ProtoBuf.cmake:87 (custom_protobuf_find) cmake/Dependencies.cmake:107 (include) CMakeLists.txt:873 (include) CMake Deprecation Warning at third_party/protobuf/cmake/CMakeLists.txt:2 (cmake_minimum_required): Compatibility with CMake < 3.10 will be removed from a future version of CMake. Update the VERSION argument <min> value. Or, use the <min>...<max> syntax to tell CMake that the project requires at least <min> but has been updated to work with policies introduced by <max> or earlier. -- -- 3.13.0.0 -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Looking for pthread_create in pthreads -- Looking for pthread_create in pthreads - not found -- Looking for pthread_create in pthread -- Looking for pthread_create in pthread - not found -- Found Threads: TRUE -- Caffe2 protobuf include directory: $<BUILD_INTERFACE:E:/PyTorch_Build/pytorch/third_party/protobuf/src>$<INSTALL_INTERFACE:include> -- Trying to find preferred BLAS backend of choice: MKL -- MKL_THREADING = OMP -- Looking for sys/types.h -- Looking for sys/types.h - found -- Looking for stdint.h -- Looking for stdint.h - found -- Looking for stddef.h -- Looking for stddef.h - found -- Check size of void* -- Check size of void* - done -- MKL_THREADING = OMP CMake Warning at cmake/Dependencies.cmake:213 (message): MKL could not be found. Defaulting to Eigen Call Stack (most recent call first): CMakeLists.txt:873 (include) CMake Warning at cmake/Dependencies.cmake:279 (message): Preferred BLAS (MKL) cannot be found, now searching for a general BLAS library Call Stack (most recent call first): CMakeLists.txt:873 (include) -- MKL_THREADING = OMP -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - libiomp5md] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - libiomp5md] -- Library mkl_intel: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core] -- Library mkl_intel: not found -- Checking for [mkl_intel_lp64 - mkl_sequential - mkl_core] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_sequential - mkl_core] -- Library mkl_intel: not found -- Checking for [mkl_intel_lp64 - mkl_core - libiomp5md - pthread] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - libiomp5md - pthread] -- Library mkl_intel: not found -- Checking for [mkl_intel_lp64 - mkl_core - pthread] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - pthread] -- Library mkl_intel: not found -- Checking for [mkl - guide - pthread - m] -- Library mkl: not found -- MKL library not found -- Checking for [blis] -- Library blis: BLAS_blis_LIBRARY-NOTFOUND -- Checking for [Accelerate] -- Library Accelerate: BLAS_Accelerate_LIBRARY-NOTFOUND -- Checking for [vecLib] -- Library vecLib: BLAS_vecLib_LIBRARY-NOTFOUND -- Checking for [flexiblas] -- Library flexiblas: BLAS_flexiblas_LIBRARY-NOTFOUND -- Checking for [openblas] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [openblas - pthread - m] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [openblas - pthread - m - gomp] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [libopenblas] -- Library libopenblas: BLAS_libopenblas_LIBRARY-NOTFOUND -- Checking for [goto2 - gfortran] -- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND -- Checking for [goto2 - gfortran - pthread] -- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND -- Checking for [acml - gfortran] -- Library acml: BLAS_acml_LIBRARY-NOTFOUND -- Checking for [blis] -- Library blis: BLAS_blis_LIBRARY-NOTFOUND -- Could NOT find Atlas (missing: Atlas_CBLAS_INCLUDE_DIR Atlas_CLAPACK_INCLUDE_DIR Atlas_CBLAS_LIBRARY Atlas_BLAS_LIBRARY Atlas_LAPACK_LIBRARY) -- Checking for [ptf77blas - atlas - gfortran] -- Library ptf77blas: BLAS_ptf77blas_LIBRARY-NOTFOUND -- Checking for [] -- Looking for sgemm_ -- Looking for sgemm_ - not found -- Cannot find a library with BLAS API. Not using BLAS. -- Using pocketfft in directory: E:/PyTorch_Build/pytorch/third_party/pocketfft/ CMake Deprecation Warning at third_party/pthreadpool/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): Compatibility with CMake < 3.10 will be removed from a future version of CMake. Update the VERSION argument <min> value. Or, use the <min>...<max> syntax to tell CMake that the project requires at least <min> but has been updated to work with policies introduced by <max> or earlier. CMake Deprecation Warning at third_party/FXdiv/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): Compatibility with CMake < 3.10 will be removed from a future version of CMake. Update the VERSION argument <min> value. Or, use the <min>...<max> syntax to tell CMake that the project requires at least <min> but has been updated to work with policies introduced by <max> or earlier. CMake Deprecation Warning at third_party/cpuinfo/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): Compatibility with CMake < 3.10 will be removed from a future version of CMake. Update the VERSION argument <min> value. Or, use the <min>...<max> syntax to tell CMake that the project requires at least <min> but has been updated to work with policies introduced by <max> or earlier. -- The ASM compiler identification is MSVC CMake Warning (dev) at rtx5070_env/Lib/site-packages/cmake/data/share/cmake-4.1/Modules/CMakeDetermineASMCompiler.cmake:234 (message): Policy CMP194 is not set: MSVC is not an assembler for language ASM. Run "cmake --help-policy CMP194" for policy details. Use the cmake_policy command to set the policy and suppress this warning. Call Stack (most recent call first): third_party/XNNPACK/CMakeLists.txt:18 (PROJECT) This warning is for project developers. Use -Wno-dev to suppress it. -- Found assembler: C:/Program Files (x86)/Microsoft Visual Studio/2022/BuildTools/VC/Tools/MSVC/14.44.35207/bin/Hostx64/x64/cl.exe -- Building for XNNPACK_TARGET_PROCESSOR: x86_64 -- Generating microkernels.cmake Duplicate microkernel definition: src\qs8-qc4w-packw\gen\qs8-qc4w-packw-x8c8-gemm-goi-avx256vnni.c and src\qs8-qc4w-packw\gen\qs8-qc4w-packw-x8c8-gemm-goi-avxvnni.c (1th function) Duplicate microkernel definition: src\qs8-qc4w-packw\gen\qs8-qc4w-packw-x8c8-gemm-goi-avxvnni.c and src\qs8-qc4w-packw\gen\qs8-qc4w-packw-x8c8-gemm-goi-scalar.c No microkernel found in src\reference\binary-elementwise.cc No microkernel found in src\reference\packing.cc No microkernel found in src\reference\unary-elementwise.cc -- Found Git: E:/Program Files/Git/cmd/git.exe (found version "2.51.0.windows.1") -- Google Benchmark version: v1.9.3, normalized to 1.9.3 -- Looking for shm_open in rt -- Looking for shm_open in rt - not found -- Performing Test HAVE_CXX_FLAG_WX -- Performing Test HAVE_CXX_FLAG_WX - Success -- Compiling and running to test HAVE_STD_REGEX -- Performing Test HAVE_STD_REGEX -- success -- Compiling and running to test HAVE_GNU_POSIX_REGEX -- Performing Test HAVE_GNU_POSIX_REGEX -- failed to compile -- Compiling and running to test HAVE_POSIX_REGEX -- Performing Test HAVE_POSIX_REGEX -- failed to compile -- Compiling and running to test HAVE_STEADY_CLOCK -- Performing Test HAVE_STEADY_CLOCK -- success -- Compiling and running to test HAVE_PTHREAD_AFFINITY -- Performing Test HAVE_PTHREAD_AFFINITY -- failed to compile CMake Deprecation Warning at third_party/ittapi/CMakeLists.txt:7 (cmake_minimum_required): Compatibility with CMake < 3.10 will be removed from a future version of CMake. Update the VERSION argument <min> value. Or, use the <min>...<max> syntax to tell CMake that the project requires at least <min> but has been updated to work with policies introduced by <max> or earlier. CMake Warning at cmake/Dependencies.cmake:749 (message): FP16 is only cmake-2.8 compatible Call Stack (most recent call first): CMakeLists.txt:873 (include) CMake Deprecation Warning at third_party/FP16/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): Compatibility with CMake < 3.10 will be removed from a future version of CMake. Update the VERSION argument <min> value. Or, use the <min>...<max> syntax to tell CMake that the project requires at least <min> but has been updated to work with policies introduced by <max> or earlier. CMake Deprecation Warning at third_party/psimd/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): Compatibility with CMake < 3.10 will be removed from a future version of CMake. Update the VERSION argument <min> value. Or, use the <min>...<max> syntax to tell CMake that the project requires at least <min> but has been updated to work with policies introduced by <max> or earlier. -- Using third party subdirectory Eigen. -- Found Python: E:\PyTorch_Build\pytorch\rtx5070_env\Scripts\python.exe (found version "3.10.10") found components: Interpreter Development.Module NumPy -- Using third_party/pybind11. -- pybind11 include dirs: E:/PyTorch_Build/pytorch/cmake/../third_party/pybind11/include -- Could NOT find OpenTelemetryApi (missing: OpenTelemetryApi_INCLUDE_DIRS) -- Using third_party/opentelemetry-cpp. -- opentelemetry api include dirs: E:/PyTorch_Build/pytorch/cmake/../third_party/opentelemetry-cpp/api/include -- Could NOT find MPI_C (missing: MPI_C_LIB_NAMES MPI_C_HEADER_DIR MPI_C_WORKS) -- Could NOT find MPI_CXX (missing: MPI_CXX_LIB_NAMES MPI_CXX_HEADER_DIR MPI_CXX_WORKS) -- Could NOT find MPI (missing: MPI_C_FOUND MPI_CXX_FOUND) CMake Warning at cmake/Dependencies.cmake:894 (message): Not compiling with MPI. Suppress this warning with -DUSE_MPI=OFF Call Stack (most recent call first): CMakeLists.txt:873 (include) -- MKL_THREADING = OMP -- Check OMP with lib C:/Program Files (x86)/Microsoft Visual Studio/2022/BuildTools/VC/Tools/MSVC/14.44.35207/lib/x64/libomp.lib and flags -openmp:experimental -- MKL_THREADING = OMP -- Check OMP with lib C:/Program Files (x86)/Microsoft Visual Studio/2022/BuildTools/VC/Tools/MSVC/14.44.35207/lib/x64/libomp.lib and flags -openmp:experimental -- Found OpenMP_C: -openmp:experimental -- Found OpenMP_CXX: -openmp:experimental -- Found OpenMP: TRUE -- Adding OpenMP CXX_FLAGS: -openmp:experimental -- Will link against OpenMP libraries: C:/Program Files (x86)/Microsoft Visual Studio/2022/BuildTools/VC/Tools/MSVC/14.44.35207/lib/x64/libomp.lib -- Found nvtx3: E:/PyTorch_Build/pytorch/third_party/NVTX/c/include -- ROCM_PATH environment variable is not set and C:/opt/rocm does not exist. Building without ROCm support. -- Found Python3: E:\PyTorch_Build\pytorch\rtx5070_env\Scripts\python.exe (found version "3.10.10") found components: Interpreter -- ONNX_PROTOC_EXECUTABLE: $<TARGET_FILE:protobuf::protoc> -- Protobuf_VERSION: Protobuf_VERSION_NOTFOUND Generated: E:/PyTorch_Build/pytorch/build/third_party/onnx/onnx/onnx_onnx_torch-ml.proto Generated: E:/PyTorch_Build/pytorch/build/third_party/onnx/onnx/onnx-operators_onnx_torch-ml.proto Generated: E:/PyTorch_Build/pytorch/build/third_party/onnx/onnx/onnx-data_onnx_torch.proto -- -- ******** Summary ******** -- CMake version : 4.1.0 -- CMake command : E:/PyTorch_Build/pytorch/rtx5070_env/Lib/site-packages/cmake/data/bin/cmake.exe -- System : Windows -- C++ compiler : C:/Program Files (x86)/Microsoft Visual Studio/2022/BuildTools/VC/Tools/MSVC/14.44.35207/bin/Hostx64/x64/cl.exe -- C++ compiler version : 19.44.35215.0 -- CXX flags : /DWIN32 /D_WINDOWS /EHsc /Zc:__cplusplus /bigobj /FS /utf-8 -DUSE_PTHREADPOOL /EHsc /wd26812 -- Build type : Release -- Compile definitions : ONNX_ML=1;ONNXIFI_ENABLE_EXT=1 -- CMAKE_PREFIX_PATH : E:\PyTorch_Build\pytorch\rtx5070_env\Lib\site-packages;E:/Program Files/NVIDIA/CUNND/v9.12;E:\Program Files\NVIDIA\CUNND\v9.12;E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0;E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0;E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0 -- CMAKE_INSTALL_PREFIX : E:/PyTorch_Build/pytorch/torch -- CMAKE_MODULE_PATH : E:/PyTorch_Build/pytorch/cmake/Modules;E:/PyTorch_Build/pytorch/cmake/public/../Modules_CUDA_fix -- -- ONNX version : 1.18.0 -- ONNX NAMESPACE : onnx_torch -- ONNX_USE_LITE_PROTO : OFF -- USE_PROTOBUF_SHARED_LIBS : OFF -- ONNX_DISABLE_EXCEPTIONS : OFF -- ONNX_DISABLE_STATIC_REGISTRATION : OFF -- ONNX_WERROR : OFF -- ONNX_BUILD_TESTS : OFF -- BUILD_SHARED_LIBS : OFF -- -- Protobuf compiler : $<TARGET_FILE:protobuf::protoc> -- Protobuf includes : -- Protobuf libraries : -- ONNX_BUILD_PYTHON : OFF -- Found CUDA with FP16 support, compiling with torch.cuda.HalfTensor -- Adding -DNDEBUG to compile flags -- Checking prototype magma_get_sgeqrf_nb for MAGMA_V2 -- Checking prototype magma_get_sgeqrf_nb for MAGMA_V2 - False -- MAGMA not found. Compiling without MAGMA support -- Could not find hardware support for NEON on this machine. -- No OMAP3 processor on this machine. -- No OMAP4 processor on this machine. -- MKL_THREADING = OMP -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core - libiomp5md] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core - libiomp5md] -- Library mkl_intel: not found -- Checking for [mkl_intel_lp64 - mkl_intel_thread - mkl_core] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_intel_thread - mkl_core] -- Library mkl_intel: not found -- Checking for [mkl_intel_lp64 - mkl_sequential - mkl_core] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_sequential - mkl_core] -- Library mkl_intel: not found -- Checking for [mkl_intel_lp64 - mkl_core - libiomp5md - pthread] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - libiomp5md - pthread] -- Library mkl_intel: not found -- Checking for [mkl_intel_lp64 - mkl_core - pthread] -- Library mkl_intel_lp64: not found -- Checking for [mkl_intel - mkl_core - pthread] -- Library mkl_intel: not found -- Checking for [mkl - guide - pthread - m] -- Library mkl: not found -- MKL library not found -- Checking for [blis] -- Library blis: BLAS_blis_LIBRARY-NOTFOUND -- Checking for [Accelerate] -- Library Accelerate: BLAS_Accelerate_LIBRARY-NOTFOUND -- Checking for [vecLib] -- Library vecLib: BLAS_vecLib_LIBRARY-NOTFOUND -- Checking for [flexiblas] -- Library flexiblas: BLAS_flexiblas_LIBRARY-NOTFOUND -- Checking for [openblas] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [openblas - pthread - m] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [openblas - pthread - m - gomp] -- Library openblas: BLAS_openblas_LIBRARY-NOTFOUND -- Checking for [libopenblas] -- Library libopenblas: BLAS_libopenblas_LIBRARY-NOTFOUND -- Checking for [goto2 - gfortran] -- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND -- Checking for [goto2 - gfortran - pthread] -- Library goto2: BLAS_goto2_LIBRARY-NOTFOUND -- Checking for [acml - gfortran] -- Library acml: BLAS_acml_LIBRARY-NOTFOUND -- Checking for [blis] -- Library blis: BLAS_blis_LIBRARY-NOTFOUND -- Could NOT find Atlas (missing: Atlas_CBLAS_INCLUDE_DIR Atlas_CLAPACK_INCLUDE_DIR Atlas_CBLAS_LIBRARY Atlas_BLAS_LIBRARY Atlas_LAPACK_LIBRARY) -- Checking for [ptf77blas - atlas - gfortran] -- Library ptf77blas: BLAS_ptf77blas_LIBRARY-NOTFOUND -- Checking for [] -- Cannot find a library with BLAS API. Not using BLAS. -- LAPACK requires BLAS -- Cannot find a library with LAPACK API. Not using LAPACK. disabling ROCM because NOT USE_ROCM is set -- MIOpen not found. Compiling without MIOpen support disabling MKLDNN because USE_MKLDNN is not set -- {fmt} version: 11.2.0 -- Build type: Release -- Using Kineto with CUPTI support -- Configuring Kineto dependency: -- KINETO_SOURCE_DIR = E:/PyTorch_Build/pytorch/third_party/kineto/libkineto -- KINETO_BUILD_TESTS = OFF -- KINETO_LIBRARY_TYPE = static -- CUDA_SOURCE_DIR = E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0 -- CUDA_INCLUDE_DIRS = E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/include -- CUPTI_INCLUDE_DIR = E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/extras/CUPTI/include -- CUDA_cupti_LIBRARY = E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/extras/CUPTI/lib64/cupti.lib -- Found CUPTI CMake Deprecation Warning at third_party/kineto/libkineto/CMakeLists.txt:7 (cmake_minimum_required): Compatibility with CMake < 3.10 will be removed from a future version of CMake. Update the VERSION argument <min> value. Or, use the <min>...<max> syntax to tell CMake that the project requires at least <min> but has been updated to work with policies introduced by <max> or earlier. CMake Warning (dev) at third_party/kineto/libkineto/CMakeLists.txt:15 (find_package): Policy CMP0148 is not set: The FindPythonInterp and FindPythonLibs modules are removed. Run "cmake --help-policy CMP0148" for policy details. Use the cmake_policy command to set the policy and suppress this warning. This warning is for project developers. Use -Wno-dev to suppress it. -- Found PythonInterp: E:/PyTorch_Build/pytorch/rtx5070_env/Scripts/python.exe (found version "3.10.10") -- ROCM_SOURCE_DIR = -- Kineto: FMT_SOURCE_DIR = E:/PyTorch_Build/pytorch/third_party/fmt -- Kineto: FMT_INCLUDE_DIR = E:/PyTorch_Build/pytorch/third_party/fmt/include -- CUPTI_INCLUDE_DIR = E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/extras/CUPTI/include -- ROCTRACER_INCLUDE_DIR = /include/roctracer -- DYNOLOG_INCLUDE_DIR = E:/PyTorch_Build/pytorch/third_party/kineto/libkineto/third_party/dynolog/ -- IPCFABRIC_INCLUDE_DIR = E:/PyTorch_Build/pytorch/third_party/kineto/libkineto/third_party/dynolog//dynolog/src/ipcfabric/ -- Configured Kineto -- Performing Test HAS/WD4624 -- Performing Test HAS/WD4624 - Success -- Performing Test HAS/WD4068 -- Performing Test HAS/WD4068 - Success -- Performing Test HAS/WD4067 -- Performing Test HAS/WD4067 - Success -- Performing Test HAS/WD4267 -- Performing Test HAS/WD4267 - Success -- Performing Test HAS/WD4661 -- Performing Test HAS/WD4661 - Success -- Performing Test HAS/WD4717 -- Performing Test HAS/WD4717 - Success -- Performing Test HAS/WD4244 -- Performing Test HAS/WD4244 - Success -- Performing Test HAS/WD4804 -- Performing Test HAS/WD4804 - Success -- Performing Test HAS/WD4273 -- Performing Test HAS/WD4273 - Success -- Performing Test HAS_WNO_STRINGOP_OVERFLOW -- Performing Test HAS_WNO_STRINGOP_OVERFLOW - Failed -- -- Architecture: x64 -- Use the C++ compiler to compile (MI_USE_CXX=ON) -- -- Library name : mimalloc -- Version : 2.2.4 -- Build type : release -- C++ Compiler : C:/Program Files (x86)/Microsoft Visual Studio/2022/BuildTools/VC/Tools/MSVC/14.44.35207/bin/Hostx64/x64/cl.exe -- Compiler flags : /Zc:__cplusplus -- Compiler defines : MI_CMAKE_BUILD_TYPE=release;MI_BUILD_RELEASE -- Link libraries : psapi;shell32;user32;advapi32;bcrypt -- Build targets : static -- CMake Error at CMakeLists.txt:1264 (add_subdirectory): The source directory E:/PyTorch_Build/pytorch/torch/headeronly does not contain a CMakeLists.txt file. -- don't use NUMA -- Looking for backtrace -- Looking for backtrace - not found -- Could NOT find Backtrace (missing: Backtrace_LIBRARY Backtrace_INCLUDE_DIR) -- headers outputs: torch\csrc\inductor\aoti_torch\generated\c_shim_cpu.h not found torch\csrc\inductor\aoti_torch\generated\c_shim_cuda.h not found torch\csrc\inductor\aoti_torch\generated\c_shim_aten.h not found -- sources outputs: -- declarations_yaml outputs: -- Performing Test COMPILER_SUPPORTS_NO_AVX256_SPLIT -- Performing Test COMPILER_SUPPORTS_NO_AVX256_SPLIT - Failed -- Using ATen parallel backend: OMP -- Could NOT find OpenSSL, try to set the path to OpenSSL root folder in the system variable OPENSSL_ROOT_DIR (missing: OPENSSL_CRYPTO_LIBRARY OPENSSL_INCLUDE_DIR) -- Check size of long double -- Check size of long double - done -- Performing Test COMPILER_SUPPORTS_FLOAT128 -- Performing Test COMPILER_SUPPORTS_FLOAT128 - Failed -- Performing Test COMPILER_SUPPORTS_SSE2 -- Performing Test COMPILER_SUPPORTS_SSE2 - Success -- Performing Test COMPILER_SUPPORTS_SSE4 -- Performing Test COMPILER_SUPPORTS_SSE4 - Success -- Performing Test COMPILER_SUPPORTS_AVX -- Performing Test COMPILER_SUPPORTS_AVX - Success -- Performing Test COMPILER_SUPPORTS_FMA4 -- Performing Test COMPILER_SUPPORTS_FMA4 - Success -- Performing Test COMPILER_SUPPORTS_AVX2 -- Performing Test COMPILER_SUPPORTS_AVX2 - Success -- Performing Test COMPILER_SUPPORTS_AVX512F -- Performing Test COMPILER_SUPPORTS_AVX512F - Success -- Found OpenMP_C: -openmp:experimental (found version "2.0") -- Found OpenMP_CXX: -openmp:experimental (found version "2.0") -- Found OpenMP_CUDA: -openmp (found version "2.0") -- Found OpenMP: TRUE (found version "2.0") -- Performing Test COMPILER_SUPPORTS_OPENMP -- Performing Test COMPILER_SUPPORTS_OPENMP - Success -- Performing Test COMPILER_SUPPORTS_OMP_SIMD -- Performing Test COMPILER_SUPPORTS_OMP_SIMD - Failed -- Performing Test COMPILER_SUPPORTS_WEAK_ALIASES -- Performing Test COMPILER_SUPPORTS_WEAK_ALIASES - Failed -- Performing Test COMPILER_SUPPORTS_BUILTIN_MATH -- Performing Test COMPILER_SUPPORTS_BUILTIN_MATH - Failed -- Performing Test COMPILER_SUPPORTS_SYS_GETRANDOM -- Performing Test COMPILER_SUPPORTS_SYS_GETRANDOM - Failed -- Configuring build for SLEEF-v3.8.0 Target system: Windows-10.0.26100 Target processor: AMD64 Host system: Windows-10.0.26100 Host processor: AMD64 Detected C compiler: MSVC @ C:/Program Files (x86)/Microsoft Visual Studio/2022/BuildTools/VC/Tools/MSVC/14.44.35207/bin/Hostx64/x64/cl.exe CMake: 4.1.0 Make program: E:/PyTorch_Build/pytorch/rtx5070_env/Scripts/ninja.exe -- Using option `/D_CRT_SECURE_NO_WARNINGS /D_CRT_NONSTDC_NO_DEPRECATE ` to compile libsleef -- Building shared libs : OFF -- Building static test bins: OFF -- MPFR : LIB_MPFR-NOTFOUND -- GMP : LIBGMP-NOTFOUND -- RT : -- FFTW3 : LIBFFTW3-NOTFOUND -- OPENSSL : -- SDE : SDE_COMMAND-NOTFOUND -- COMPILER_SUPPORTS_OPENMP : FALSE AT_INSTALL_INCLUDE_DIR include/ATen/core core header install: E:/PyTorch_Build/pytorch/build/aten/src/ATen/core/aten_interned_strings.h core header install: E:/PyTorch_Build/pytorch/build/aten/src/ATen/core/enum_tag.h core header install: E:/PyTorch_Build/pytorch/build/aten/src/ATen/core/TensorBody.h -- NVSHMEM not found, not building with NVSHMEM support. CMake Error at torch/CMakeLists.txt:3 (add_subdirectory): The source directory E:/PyTorch_Build/pytorch/torch/csrc does not contain a CMakeLists.txt file. CMake Warning at CMakeLists.txt:1285 (message): Generated cmake files are only fully tested if one builds with system glog, gflags, and protobuf. Other settings may generate files that are not well tested. -- -- ******** Summary ******** -- General: -- CMake version : 4.1.0 -- CMake command : E:/PyTorch_Build/pytorch/rtx5070_env/Lib/site-packages/cmake/data/bin/cmake.exe -- System : Windows -- C++ compiler : C:/Program Files (x86)/Microsoft Visual Studio/2022/BuildTools/VC/Tools/MSVC/14.44.35207/bin/Hostx64/x64/cl.exe -- C++ compiler id : MSVC -- C++ compiler version : 19.44.35215.0 -- Using ccache if found : OFF -- CXX flags : /DWIN32 /D_WINDOWS /EHsc /Zc:__cplusplus /bigobj /FS /utf-8 -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DLIBKINETO_NOXPUPTI=ON -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE /wd4624 /wd4068 /wd4067 /wd4267 /wd4661 /wd4717 /wd4244 /wd4804 /wd4273 -- Shared LD flags : /machine:x64 /ignore:4049 /ignore:4217 /ignore:4099 -- Static LD flags : /machine:x64 /ignore:4049 /ignore:4217 /ignore:4099 -- Module LD flags : /machine:x64 /ignore:4049 /ignore:4217 /ignore:4099 -- Build type : Release -- Compile definitions : ONNX_ML=1;ONNXIFI_ENABLE_EXT=1;ONNX_NAMESPACE=onnx_torch;_CRT_SECURE_NO_DEPRECATE=1;USE_EXTERNAL_MZCRC;MINIZ_DISABLE_ZIP_READER_CRC32_CHECKS;EXPORT_AOTI_FUNCTIONS;WIN32_LEAN_AND_MEAN;_UCRT_LEGACY_INFINITY;NOMINMAX;USE_MIMALLOC -- CMAKE_PREFIX_PATH : E:\PyTorch_Build\pytorch\rtx5070_env\Lib\site-packages;E:/Program Files/NVIDIA/CUNND/v9.12;E:\Program Files\NVIDIA\CUNND\v9.12;E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0;E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0;E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0 -- CMAKE_INSTALL_PREFIX : E:/PyTorch_Build/pytorch/torch -- USE_GOLD_LINKER : OFF -- -- TORCH_VERSION : 2.9.0 -- BUILD_STATIC_RUNTIME_BENCHMARK: OFF -- BUILD_BINARY : OFF -- BUILD_CUSTOM_PROTOBUF : ON -- Link local protobuf : ON -- BUILD_PYTHON : True -- Python version : 3.10.10 -- Python executable : E:\PyTorch_Build\pytorch\rtx5070_env\Scripts\python.exe -- Python library : E:/Python310/libs/python310.lib -- Python includes : E:/Python310/Include -- Python site-package : E:\PyTorch_Build\pytorch\rtx5070_env\Lib\site-packages -- BUILD_SHARED_LIBS : ON -- CAFFE2_USE_MSVC_STATIC_RUNTIME : OFF -- BUILD_TEST : True -- BUILD_JNI : OFF -- BUILD_MOBILE_AUTOGRAD : OFF -- BUILD_LITE_INTERPRETER: OFF -- INTERN_BUILD_MOBILE : -- TRACING_BASED : OFF -- USE_BLAS : 0 -- USE_LAPACK : 0 -- USE_ASAN : OFF -- USE_TSAN : OFF -- USE_CPP_CODE_COVERAGE : OFF -- USE_CUDA : 1 -- CUDA static link : OFF -- USE_CUDNN : OFF -- USE_CUSPARSELT : OFF -- USE_CUDSS : OFF -- USE_CUFILE : OFF -- CUDA version : 13.0 -- USE_FLASH_ATTENTION : OFF -- USE_MEM_EFF_ATTENTION : ON -- CUDA root directory : E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0 -- CUDA library : E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/lib/x64/cuda.lib -- cudart library : E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/lib/x64/cudart.lib -- cublas library : E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/lib/x64/cublas.lib -- cufft library : E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/lib/x64/cufft.lib -- curand library : E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/lib/x64/curand.lib -- cusparse library : E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/lib/x64/cusparse.lib -- nvrtc : E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/lib/x64/nvrtc.lib -- CUDA include path : E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/include -- NVCC executable : E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/bin/nvcc.exe -- CUDA compiler : E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/bin/nvcc.exe -- CUDA flags : -DLIBCUDACXX_ENABLE_SIMPLIFIED_COMPLEX_OPERATIONS -Xcompiler /Zc:__cplusplus -Xcompiler /w -w -Xcompiler /FS -Xfatbin -compress-all -DONNX_NAMESPACE=onnx_torch --use-local-env -gencode arch=compute_89,code=sm_89 -gencode arch=compute_90,code=sm_90 -gencode arch=compute_120,code=sm_120 -Xcudafe --diag_suppress=cc_clobber_ignored,--diag_suppress=field_without_dll_interface,--diag_suppress=base_class_has_different_dll_interface,--diag_suppress=dll_interface_conflict_none_assumed,--diag_suppress=dll_interface_conflict_dllexport_assumed,--diag_suppress=bad_friend_decl --Werror cross-execution-space-call --no-host-device-move-forward --expt-relaxed-constexpr --expt-extended-lambda -Xcompiler=/wd4819,/wd4503,/wd4190,/wd4244,/wd4251,/wd4275,/wd4522 -Wno-deprecated-gpu-targets --expt-extended-lambda -DCUB_WRAPPED_NAMESPACE=at_cuda_detail -DCUDA_HAS_FP16=1 -D__CUDA_NO_HALF_OPERATORS__ -D__CUDA_NO_HALF_CONVERSIONS__ -D__CUDA_NO_HALF2_OPERATORS__ -D__CUDA_NO_BFLOAT16_CONVERSIONS__ -- CUDA host compiler : -- CUDA --device-c : OFF -- USE_TENSORRT : -- USE_XPU : OFF -- USE_ROCM : OFF -- BUILD_NVFUSER : -- USE_EIGEN_FOR_BLAS : ON -- USE_EIGEN_FOR_SPARSE : OFF -- USE_FBGEMM : OFF -- USE_KINETO : ON -- USE_GFLAGS : OFF -- USE_GLOG : OFF -- USE_LITE_PROTO : OFF -- USE_PYTORCH_METAL : OFF -- USE_PYTORCH_METAL_EXPORT : OFF -- USE_MPS : OFF -- CAN_COMPILE_METAL : -- USE_MKL : OFF -- USE_MKLDNN : OFF -- USE_UCC : OFF -- USE_ITT : ON -- USE_XCCL : OFF -- USE_NCCL : OFF -- Found NVSHMEM : -- USE_NNPACK : OFF -- USE_NUMPY : ON -- USE_OBSERVERS : ON -- USE_OPENCL : OFF -- USE_OPENMP : ON -- USE_MIMALLOC : ON -- USE_MIMALLOC_ON_MKL : OFF -- USE_VULKAN : OFF -- USE_PROF : OFF -- USE_PYTORCH_QNNPACK : OFF -- USE_XNNPACK : ON -- USE_DISTRIBUTED : OFF -- Public Dependencies : -- Private Dependencies : Threads::Threads;pthreadpool;cpuinfo;XNNPACK;microkernels-prod;ittnotify;fp16;caffe2::openmp;fmt::fmt-header-only;kineto -- Public CUDA Deps. : -- Private CUDA Deps. : caffe2::curand;caffe2::cufft;caffe2::cublas;fmt::fmt-header-only;E:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v13.0/lib/x64/cudart_static.lib;CUDA::cusparse;CUDA::cufft;CUDA::cusolver;ATEN_CUDA_FILES_GEN_LIB -- USE_COREML_DELEGATE : OFF -- BUILD_LAZY_TS_BACKEND : ON -- USE_ROCM_KERNEL_ASSERT : OFF -- Performing Test HAS_WMISSING_PROTOTYPES -- Performing Test HAS_WMISSING_PROTOTYPES - Failed -- Performing Test HAS_WERROR_MISSING_PROTOTYPES -- Performing Test HAS_WERROR_MISSING_PROTOTYPES - Failed -- Configuring incomplete, errors occurred! (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 安装生成的包 (rtx5070_env) PS E:\PyTorch_Build\pytorch> $wheelPath = Get-ChildItem dist\*.whl | Select-Object -First 1 Get-ChildItem: Cannot find path 'E:\PyTorch_Build\pytorch\dist' because it does not exist. (rtx5070_env) PS E:\PyTorch_Build\pytorch> pip install $wheelPath --force-reinstall --no-deps ERROR: You must give at least one requirement to install (see "pip help install") (rtx5070_env) PS E:\PyTorch_Build\pytorch> python diagnostic_test.py ================================================== CUDA Toolkit 验证: ✅ NVCC 版本: nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2025 NVIDIA Corporation Built on Wed_Jul_16_20:06:48_Pacific_Daylight_Time_2025 Cuda compilation tools, release 13.0, V13.0.48 Build cuda_13.0.r13.0/compiler.36260728_0 ✅ NVIDIA-SMI 输出: Mon Sep 1 20:54:10 2025 +-----------------------------------------------------------------------------------------+ | NVIDIA-SMI 580.97 Driver Version: 580.97 CUDA Version: 13.0 | +-----------------------------------------+------------------------+----------------------+ | GPU Name Driver-Model | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+========================+======================| | 0 NVIDIA GeForce RTX 5070 WDDM | 00000000:01:00.0 On | N/A | | 0% 35C P3 16W / 250W | 1328MiB / 12227MiB | 0% Default | | | | N/A | +-----------------------------------------+------------------------+----------------------+ +-----------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=========================================================================================| | 0 N/A N/A 1124 C+G ...yb3d8bbwe\WindowsTerminal.exe N/A | | 0 N/A N/A 1288 C+G ...les\Tencent\Weixin\Weixin.exe N/A | | 0 N/A N/A 1776 C+G C:\Windows\System32\dwm.exe N/A | | 0 N/A N/A 2272 C+G ...t\Edge\Application\msedge.exe N/A | | 0 N/A N/A 3268 C+G ...em32\ApplicationFrameHost.exe N/A | | 0 N/A N/A 7860 C+G C:\Windows\explorer.exe N/A | | 0 N/A N/A 8004 C+G ...indows\System32\ShellHost.exe N/A | | 0 N/A N/A 8156 C+G ...0.3405.125\msedgewebview2.exe N/A | | 0 N/A N/A 8852 C+G ..._cw5n1h2txyewy\SearchHost.exe N/A | | 0 N/A N/A 8876 C+G ...y\StartMenuExperienceHost.exe N/A | | 0 N/A N/A 10540 C+G ...0.3405.125\msedgewebview2.exe N/A | | 0 N/A N/A 12380 C+G ...5n1h2txyewy\TextInputHost.exe N/A | | 0 N/A N/A 15340 C+G ...acted\runtime\WeChatAppEx.exe N/A | | 0 N/A N/A 18600 C+G ...ntrolPanel\SystemSettings.exe N/A | +-----------------------------------------------------------------------------------------+ ================================================== ❌ 严重错误发生: Traceback (most recent call last): File "E:\PyTorch_Build\pytorch\diagnostic_test.py", line 116, in <module> check_cuda_toolkit() File "E:\PyTorch_Build\pytorch\diagnostic_test.py", line 21, in check_cuda_toolkit cuda_path = os.environ.get('CUDA_PATH', '未设置') NameError: name 'os' is not defined 按 Enter 键退出... (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 卸载现有版本 (rtx5070_env) PS E:\PyTorch_Build\pytorch> pip uninstall -y torch torchvision torchaudio WARNING: Skipping torch as it is not installed. WARNING: Skipping torchvision as it is not installed. WARNING: Skipping torchaudio as it is not installed. (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 安装支持 RTX 5070 的预编译版本 (rtx5070_env) PS E:\PyTorch_Build\pytorch> pip install --pre torch torchvision torchaudio ` >> --index-url https://download.pytorch.org/whl/nightly/cu121 ` >> --no-deps Looking in indexes: https://download.pytorch.org/whl/nightly/cu121 Collecting torch Using cached https://download.pytorch.org/whl/nightly/cu121/torch-2.6.0.dev20241112%2Bcu121-cp310-cp310-win_amd64.whl (2456.2 MB) Collecting torchvision Using cached https://download.pytorch.org/whl/nightly/cu121/torchvision-0.20.0.dev20241112%2Bcu121-cp310-cp310-win_amd64.whl (6.2 MB) Collecting torchaudio Using cached https://download.pytorch.org/whl/nightly/cu121/torchaudio-2.5.0.dev20241112%2Bcu121-cp310-cp310-win_amd64.whl (4.2 MB) Installing collected packages: torchaudio, torchvision, torch Successfully installed torch-2.6.0.dev20241112+cu121 torchaudio-2.5.0.dev20241112+cu121 torchvision-0.20.0.dev20241112+cu121 (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 安装必要依赖 (rtx5070_env) PS E:\PyTorch_Build\pytorch> pip install pyyaml numpy typing_extensions mkl mkl-include intel-openmp Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple Requirement already satisfied: pyyaml in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (6.0.2) Requirement already satisfied: numpy in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (2.2.6) Requirement already satisfied: typing_extensions in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (4.15.0) Requirement already satisfied: mkl in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (2025.2.0) Requirement already satisfied: mkl-include in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (2025.2.0) Requirement already satisfied: intel-openmp in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (2025.2.1) Requirement already satisfied: tbb==2022.* in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from mkl) (2022.2.0) Requirement already satisfied: intel-cmplr-lib-ur==2025.2.1 in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from intel-openmp) (2025.2.1) Requirement already satisfied: umf==0.11.* in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from intel-cmplr-lib-ur==2025.2.1->intel-openmp) (0.11.0) Requirement already satisfied: tcmlib==1.* in e:\pytorch_build\pytorch\rtx5070_env\lib\site-packages (from tbb==2022.*->mkl) (1.4.0) (rtx5070_env) PS E:\PyTorch_Build\pytorch> (rtx5070_env) PS E:\PyTorch_Build\pytorch> # 执行诊断测试 (rtx5070_env) PS E:\PyTorch_Build\pytorch> python diagnostic_test.py ================================================== CUDA Toolkit 验证: ✅ NVCC 版本: nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2025 NVIDIA Corporation Built on Wed_Jul_16_20:06:48_Pacific_Daylight_Time_2025 Cuda compilation tools, release 13.0, V13.0.48 Build cuda_13.0.r13.0/compiler.36260728_0 ✅ NVIDIA-SMI 输出: Mon Sep 1 20:55:52 2025 +-----------------------------------------------------------------------------------------+ | NVIDIA-SMI 580.97 Driver Version: 580.97 CUDA Version: 13.0 | +-----------------------------------------+------------------------+----------------------+ | GPU Name Driver-Model | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+========================+======================| | 0 NVIDIA GeForce RTX 5070 WDDM | 00000000:01:00.0 On | N/A | | 0% 35C P3 19W / 250W | 1346MiB / 12227MiB | 0% Default | | | | N/A | +-----------------------------------------+------------------------+----------------------+ +-----------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=========================================================================================| | 0 N/A N/A 1124 C+G ...yb3d8bbwe\WindowsTerminal.exe N/A | | 0 N/A N/A 1288 C+G ...les\Tencent\Weixin\Weixin.exe N/A | | 0 N/A N/A 1776 C+G C:\Windows\System32\dwm.exe N/A | | 0 N/A N/A 2272 C+G ...t\Edge\Application\msedge.exe N/A | | 0 N/A N/A 3268 C+G ...em32\ApplicationFrameHost.exe N/A | | 0 N/A N/A 7860 C+G C:\Windows\explorer.exe N/A | | 0 N/A N/A 8004 C+G ...indows\System32\ShellHost.exe N/A | | 0 N/A N/A 8156 C+G ...0.3405.125\msedgewebview2.exe N/A | | 0 N/A N/A 8852 C+G ..._cw5n1h2txyewy\SearchHost.exe N/A | | 0 N/A N/A 8876 C+G ...y\StartMenuExperienceHost.exe N/A | | 0 N/A N/A 10540 C+G ...0.3405.125\msedgewebview2.exe N/A | | 0 N/A N/A 12380 C+G ...5n1h2txyewy\TextInputHost.exe N/A | | 0 N/A N/A 15340 C+G ...acted\runtime\WeChatAppEx.exe N/A | | 0 N/A N/A 18600 C+G ...ntrolPanel\SystemSettings.exe N/A | +-----------------------------------------------------------------------------------------+ ================================================== ❌ 严重错误发生: Traceback (most recent call last): File "E:\PyTorch_Build\pytorch\diagnostic_test.py", line 116, in <module> check_cuda_toolkit() File "E:\PyTorch_Build\pytorch\diagnostic_test.py", line 21, in check_cuda_toolkit cuda_path = os.environ.get('CUDA_PATH', '未设置') NameError: name 'os' is not defined 按 Enter 键退出... (rtx5070_env) PS E:\PyTorch_Build\pytorch>
最新发布
09-02
--cmake-only ` --verbose ` -DCUDA_TOOLKIT_ROOT_DIR="$env:CUDA_PATH" ` -DCUDNN_INCLUDE_DIR="$env:CUDNN_INCLUDE_DIR" ` -DCUDNN_LIBRARY="$env:CUDNN_LIBRARY" ` -DCMAKE_GENERATOR="Ninja" ` -DUSE_...
Xcode6:No architectures to compile for(ONLY_ACTIVE_ARCH=YES...)
SoulHao的专栏
10-13 2862
ONLY_ACTIVE_ARCH
No architectures to compile for (ONLY_ACTIVE_ARCH=YES, active arch=armv7, VALID_ARCHS=armv7s arm64).
wuwuFQ的博客
11-01 3271
No architectures to compile for (ONLY_ACTIVE_ARCH=YES, active arch=armv7, VALID_ARCHS=armv7s arm64).
NO architectures to compile for (ONLY_ACTIVE_ARCH=YES,active arch=x86_64,
weixin_34361881的博客
08-16 197
2019独角兽企业重金招聘Python工程师标准>>> ...
No architectures to compile for (ONLY_ACTIVE_ARCH=YES, active arch=x86_64, VALID_ARCHS=i386).问题的解决方法
宋波的专栏
05-06 1063
Xcode build这个链接的时候报错 错误原因：No architectures to compile for (ONLY_ACTIVE_ARCH=YES, active arch=x86_64, VALID_ARCHS=i386).
No architectures to compile for (ONLY_ACTIVE_ARCH=YES, active arch=armv7, VA 解决方法
中国iOS开发者协会官方博客
05-10 835
No architectures to compile for (ONLY_ACTIVE_ARCH=YES, active arch=armv7, VA 运行报错 出现的原因：armv7s是应用在iPhone 5 A6 的架构上的 解决的方式： 1，在Project target里“Architectures”设置为“Standard （armv7,armv7s）” 2，修改在
No architectures to compile for (ONLY_ACTIVE_ARCH=YES, active arch=x86_64, VALID_ARCHS=i386).
xuchuandong520的专栏
04-28 511
转载声明:    No architectures to compile for (ONLY_ACTIVE_ARCH=YES, active arch=x86_64, VALID_ARCHS=i386).，archi386 
 公司有一个好久没维护的项目，差不多一年了，今天打开运行就出现了这个问题： No architectures to compile for (ONLY_ACT
Xcode12报错 No architectures to compile for (ONLY_ACTIVE_ARCH=YES, active arch=x86_64,
zww学习笔记
10-16 9050
Xcode升级到12，真机运行正常，模拟器报错 传送门 解决方案有说删除VALID_ARCHS的，亲试无法解决问题。 原因是模拟器缺少x86_64指令集，在VALID_ARCHS中Debug模式下添加如下
No architectures to compile for (ONLY_ACTIVE_ARCH=YES, active arch=x86_64, VALID_ARCHS
中国iOS开发者协会官方博客
04-25 743
错误代码：No architectures to compile for(ONLY_ACTIVE_ARCH=YES, active arch=x86_64, VALID_ARCHS=armv7armv7s) xcodebuild 这个target的时候命令行报错
评论
添加红包

请填写红包祝福语或标题

个

红包个数最小为10个

元

红包金额最低5元

当前余额3.43元 前往充值 >
需支付：10.00元
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付元
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明：

1.余额是钱包充值的虚拟货币，按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载，可以购买VIP、付费专栏及课程。

余额充值