Question

我对bazel和tensorflow来说是全新的，所以解决这个问题对于有经验的人来说可能是显而易见的。我的borel构建的张量流失失了，并且缺少依赖性＆＃34;错误信息。以下是构建命令和输出的相关顺序：

(tf-gpu)kss@linux-9c32:~/projects> git clone --recurse-submodules https://github.com/tensorflow/tensorflow tensorflow-nogpu
Cloning into 'tensorflow-nogpu'...
remote: Counting objects: 16735, done.
remote: Compressing objects: 100% (152/152), done.
remote: Total 16735 (delta 73), reused 0 (delta 0), pack-reused 16583
Receiving objects: 100% (16735/16735), 25.25 MiB | 911.00 KiB/s, done.
Resolving deltas: 100% (10889/10889), done.
Checking connectivity... done.
Submodule 'google/protobuf' (https://github.com/google/protobuf.git) registered for path 'google/protobuf'
Cloning into 'google/protobuf'...
remote: Counting objects: 30266, done.
remote: Compressing objects: 100% (113/113), done.
remote: Total 30266 (delta 57), reused 0 (delta 0), pack-reused 30151
Receiving objects: 100% (30266/30266), 28.90 MiB | 1.98 MiB/s, done.
Resolving deltas: 100% (20225/20225), done.
Checking connectivity... done.
Submodule path 'google/protobuf': checked out '0906f5d18a2548024b511eadcbb4cfc0ca56cd67'
(tf-gpu)kss@linux-9c32:~/projects> cd tensorflow-nogpu/
(tf-gpu)kss@linux-9c32:~/projects/tensorflow-nogpu> ./configure 
Please specify the location of python. [Default is /home/kss/.venv/tf-gpu/bin/python]: 
Do you wish to build TensorFlow with GPU support? [y/N] 
No GPU support will be enabled for TensorFlow
Configuration finished
(tf-gpu)kss@linux-9c32:~/projects/tensorflow-nogpu> bazel build -c opt //tensorflow/tools/pip_package:build_pip_package                                                        
Sending SIGTERM to previous Bazel server (pid=8491)... done.
....
INFO: Found 1 target...
ERROR: /home/kss/.cache/bazel/_bazel_kss/b97e0e942a10977a6b42467ea6712cbf/external/re2/BUILD:9:1: undeclared inclusion(s) in rule '@re2//:re2':
this rule is missing dependency declarations for the following files included by 'external/re2/re2/perl_groups.cc':
  '/usr/lib64/gcc/x86_64-suse-linux/4.8/include/stddef.h'
  '/usr/lib64/gcc/x86_64-suse-linux/4.8/include/stdarg.h'
  '/usr/lib64/gcc/x86_64-suse-linux/4.8/include/stdint.h'
  '/usr/lib64/gcc/x86_64-suse-linux/4.8/include/x86intrin.h'
  '/usr/lib64/gcc/x86_64-suse-linux/4.8/include/ia32intrin.h'
  '/usr/lib64/gcc/x86_64-suse-linux/4.8/include/mmintrin.h'
  '/usr/lib64/gcc/x86_64-suse-linux/4.8/include/xmmintrin.h'
  '/usr/lib64/gcc/x86_64-suse-linux/4.8/include/mm_malloc.h'
  '/usr/lib64/gcc/x86_64-suse-linux/4.8/include/emmintrin.h'
  '/usr/lib64/gcc/x86_64-suse-linux/4.8/include/immintrin.h'
  '/usr/lib64/gcc/x86_64-suse-linux/4.8/include/fxsrintrin.h'
  '/usr/lib64/gcc/x86_64-suse-linux/4.8/include/adxintrin.h'.
Target //tensorflow/tools/pip_package:build_pip_package failed to build
Use --verbose_failures to see the command lines of failed build steps.
INFO: Elapsed time: 144.661s, Critical Path: 1.18s
(tf-gpu)kss@linux-9c32:~/projects/tensorflow-nogpu>

我使用的bazel版本是release 0.1.4，我在openSUSE 13.2上运行。我确认头文件确实存在，这可能是预期的：

(tf-gpu)kss@linux-9c32:~/projects/tensorflow-nogpu> ll /usr/lib64/gcc/x86_64-suse-linux/4.8/include/stddef.h
-rw-r--r-- 1 root root 13619 Oct  6  2014 /usr/lib64/gcc/x86_64-suse-linux/4.8/include/stddef.h

请注意发现此问题的任何人：

使用Damien的答案，除非你必须使用--crosstool_top而不是--crosstool。此外，如果您正在构建GPU加速，您还需要修改tensorflow仓库中的CROSSTOOL文件，如：

(tf-gpu)kss@linux-9c32:~/projects/tensorflow-gpu> git diff third_party/gpus/crosstool/CROSSTOOL | cat
diff --git a/third_party/gpus/crosstool/CROSSTOOL b/third_party/gpus/crosstool/CROSSTOOL
index dfde7cd..b63f950 100644
--- a/third_party/gpus/crosstool/CROSSTOOL
+++ b/third_party/gpus/crosstool/CROSSTOOL
@@ -56,6 +56,7 @@ toolchain {
   cxx_builtin_include_directory: "/usr/lib/gcc/"
   cxx_builtin_include_directory: "/usr/local/include"
   cxx_builtin_include_directory: "/usr/include"
+  cxx_builtin_include_directory: "/usr/lib64/gcc"
   tool_path { name: "gcov" path: "/usr/bin/gcov" }

   # C(++) compiles invoke the compiler (as that is the one knowing where

Answer 1

你应该调整C ++编译器。

为此，这是继续进行的最佳方式：从您的包路径目录编辑文件tools/cpp/CROSSTOOL（https://github.com/bazelbuild/bazel/blob/master/tools/cpp/CROSSTOOL）（应位于~/.bazel/base_workspace，可以找到bazel info package_path）以添加一行cxx_builtin_include_directory: /usr/lib64/gcc第100行（见https://github.com/bazelbuild/bazel/blob/master/tools/cpp/CROSSTOOL#L101）。

然后echo "build --crosstool=//tools/cpp:toolchain" >>~/.bazelrc然后重试构建。

很抱歉这个烂摊子，我们正致力于让C ++工具链更好地开箱即用。

Answer 2

Bazel抱怨系统头文件，因为编译器在生成依赖时使用-MD（而不是-MMD）标志。虽然使用-MD对于经常更改的环境是合理的，但列出对系统头文件的依赖性会导致缺少依赖性声明＆＃39;错误。

帮助我改变了＆＃39; -MD＆＃39;标记为＆＃39; -MMD＆＃39;编译器封装文件中的标志third_party / gpus / crosstool / clang / bin / crosstool_wrapper_driver_is_not_gcc.tpl就在“subprocess.call”之前（[CPU_COMPILER] ...）＆＃39;：

cpu_compiler_flags = ['-MMD' if flag == '-MD' else flag for flag in cpu_compiler_flags]

和third_party / sycl / crosstool / computecpp.tpl，类似的地方：

computecpp_device_compiler_flags = ['-MMD' if flag == '-MD' else flag for flag in computecpp_device_compiler_flags]

tensorflow构建失败，缺少依赖性＆＃34;错误

2 个答案: