以下是我的配置规格：
- GTX 1070
- 驱动程序 367（从 .run 文件安装）
- Ubuntu 16.04
- CUDA 8.0（从 .run 文件安装）
- Cudnn 5
- Bazel 0.3.0（可能存在问题？）
- gcc 4.9.3
- Tensorflow 从源码安装
验证版本的方法如下：
volcart@volcart-Precision-Tower-7910:~/$ nvidia-smiFri Aug 5 15:03:32 2016 +-----------------------------------------------------------------------------+| NVIDIA-SMI 367.35 Driver Version: 367.35 ||-------------------------------+----------------------+----------------------+| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC || Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. ||===============================+======================+======================|| 0 GeForce GTX 1070 Off | 0000:03:00.0 On | N/A || 0% 38C P8 11W / 185W | 495MiB / 8113MiB | 0% Default |+-------------------------------+----------------------+----------------------++-----------------------------------------------------------------------------+| Processes: GPU Memory || GPU PID Type Process name Usage ||=============================================================================|| 0 20303 G /usr/lib/xorg/Xorg 280MiB || 0 20909 G compiz 114MiB || 0 21562 G ...s-passed-by-fd --v8-snapshot-passed-by-fd 98MiB |+-----------------------------------------------------------------------------+volcart@volcart-Precision-Tower-7910:~/$ nvcc -Vnvcc: NVIDIA (R) Cuda compiler driverCopyright (c) 2005-2016 NVIDIA CorporationBuilt on Wed_May__4_21:01:56_CDT_2016Cuda compilation tools, release 8.0, V8.0.26volcart@volcart-Precision-Tower-7910:~/$ bazel versionBuild label: 0.3.0Build target: bazel-out/local-fastbuild/bin/src/main/java/com/google/devtools/build/lib/bazel/BazelServer_deploy.jarBuild time: Fri Jun 10 11:38:23 2016 (1465558703)Build timestamp: 1465558703Build timestamp as int: 1465558703volcart@volcart-Precision-Tower-7910:~/$ gcc -vUsing built-in specs.COLLECT_GCC=gccCOLLECT_LTO_WRAPPER=/usr/lib/gcc/x86_64-linux-gnu/4.9/lto-wrapperTarget: x86_64-linux-gnuConfigured with: ../src/configure -v --with-pkgversion='Ubuntu 4.9.3-13ubuntu2' --with-bugurl=file:///usr/share/doc/gcc-4.9/README.Bugs --enable-languages=c,c++,java,go,d,fortran,objc,obj-c++ --prefix=/usr --program-suffix=-4.9 --enable-shared --enable-linker-build-id --libexecdir=/usr/lib --without-included-gettext --enable-threads=posix --with-gxx-include-dir=/usr/include/c++/4.9 --libdir=/usr/lib --enable-nls --with-sysroot=/ --enable-clocale=gnu --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-gnu-unique-object --disable-vtable-verify --enable-plugin --with-system-zlib --disable-browser-plugin --enable-java-awt=gtk --enable-gtk-cairo --with-java-home=/usr/lib/jvm/java-1.5.0-gcj-4.9-amd64/jre --enable-java-home --with-jvm-root-dir=/usr/lib/jvm/java-1.5.0-gcj-4.9-amd64 --with-jvm-jar-dir=/usr/lib/jvm-exports/java-1.5.0-gcj-4.9-amd64 --with-arch-directory=amd64 --with-ecj-jar=/usr/share/java/eclipse-ecj.jar --enable-objc-gc --enable-multiarch --disable-werror --with-arch-32=i686 --with-abi=m64 --with-multilib-list=m32,m64,mx32 --enable-multilib --with-tune=generic --enable-checking=release --build=x86_64-linux-gnu --host=x86_64-linux-gnu --target=x86_64-linux-gnuThread model: posixgcc version 4.9.3 (Ubuntu 4.9.3-13ubuntu2) 我确实更换了 bazel 版本，所以我成功执行了 bazel clean 命令。
我可以通过 ~/NVIDIA_CUDA-8.0_Samples/1_Utilities/deviceQuery$ 验证 CUDA 是否正常工作
volcart@volcart-Precision-Tower-7910:~/NVIDIA_CUDA-8.0_Samples/1_Utilities/deviceQuery$ ./deviceQuery ./deviceQuery Starting... CUDA Device Query (Runtime API) version (CUDART static linking)Detected 1 CUDA Capable device(s)Device 0: "GeForce GTX 1070" CUDA Driver Version / Runtime Version 8.0 / 8.0 CUDA Capability Major/Minor version number: 6.1 Total amount of global memory: 8113 MBytes (8507162624 bytes) (15) Multiprocessors, (128) CUDA Cores/MP: 1920 CUDA Cores GPU Max Clock rate: 1797 MHz (1.80 GHz) Memory Clock rate: 4004 Mhz Memory Bus Width: 256-bit L2 Cache Size: 2097152 bytes Maximum Texture Dimension Size (x,y,z) 1D=(131072), 2D=(131072, 65536), 3D=(16384, 16384, 16384) Maximum Layered 1D Texture Size, (num) layers 1D=(32768), 2048 layers Maximum Layered 2D Texture Size, (num) layers 2D=(32768, 32768), 2048 layers Total amount of constant memory: 65536 bytes Total amount of shared memory per block: 49152 bytes Total number of registers available per block: 65536 Warp size: 32 Maximum number of threads per multiprocessor: 2048 Maximum number of threads per block: 1024 Max dimension size of a thread block (x,y,z): (1024, 1024, 64) Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535) Maximum memory pitch: 2147483647 bytes Texture alignment: 512 bytes Concurrent copy and kernel execution: Yes with 2 copy engine(s) Run time limit on kernels: Yes Integrated GPU sharing Host Memory: No Support host page-locked memory mapping: Yes Alignment requirement for Surfaces: Yes Device has ECC support: Disabled Device supports Unified Addressing (UVA): Yes Device PCI Domain ID / Bus ID / location ID: 0 / 3 / 0 Compute Mode: < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 8.0, CUDA Runtime Version = 8.0, NumDevs = 1, Device0 = GeForce GTX 1070Result = PASS当我运行 ./configure 时，我选择了所有默认选项。
当前错误
当我构建训练示例时，我得到以下错误：
volcart@volcart-Precision-Tower-7910:/usr/local/lib/python2.7/dist-packages/tensorflow$ sudo bazel build -c opt --config=cuda //tensorflow/cc:tutorials_example_trainerSending SIGTERM to previous Bazel server (pid=7108)... done..INFO: Found 1 target......./tensorflow/core/platform/default/logging.h: In instantiation of 'std::string* tensorflow::internal::Check_LTImpl(const T1&, const T2&, const char*) [with T1 = int; T2 = long unsigned int; std::string = std::basic_string<char>]':tensorflow/core/common_runtime/gpu/gpu_device.cc:567:5: required from here./tensorflow/core/platform/default/logging.h:197:35: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] TF_DEFINE_CHECK_OP_IMPL(Check_LT, < ) ^./tensorflow/core/platform/macros.h:54:29: note: in definition of macro 'TF_PREDICT_TRUE' #define TF_PREDICT_TRUE(x) (x) ^./tensorflow/core/platform/default/logging.h:197:1: note: in expansion of macro 'TF_DEFINE_CHECK_OP_IMPL' TF_DEFINE_CHECK_OP_IMPL(Check_LT, < ) ^ERROR: /usr/local/lib/python2.7/dist-packages/tensorflow/tensorflow/cc/BUILD:199:1: Linking of rule '//tensorflow/cc:tutorials_example_trainer' failed: crosstool_wrapper_driver_is_not_gcc failed: error executing command third_party/gpus/crosstool/clang/bin/crosstool_wrapper_driver_is_not_gcc -o bazel-out/local_linux-opt/bin/tensorflow/cc/tutorials_example_trainer ... (remaining 805 argument(s) skipped): com.google.devtools.build.lib.shell.BadExitStatusException: Process exited with status 1.bazel-out/local_linux-opt/bin/tensorflow/cc/_objs/tutorials_example_trainer/tensorflow/cc/tutorials/example_trainer.o: In function `tensorflow::example::ConcurrentSteps(tensorflow::example::Options const*, int)':example_trainer.cc:(.text._ZN10tensorflow7example15ConcurrentStepsEPKNS0_7OptionsEi+0x517): undefined reference to `google::protobuf::internal::empty_string_'bazel-out/local_linux-opt/bin/tensorflow/core/kernels/libidentity_reader_op.lo(identity_reader_op.o): In function `tensorflow::IdentityReader::SerializeStateLocked(std::string*)':identity_reader_op.cc:(.text._ZN10tensorflow14IdentityReader20SerializeStateLockedEPSs[_ZN10tensorflow14IdentityReader20SerializeStateLockedEPSs]+0x36): undefined reference to `google::protobuf::MessageLite::SerializeToString(std::string*) const'bazel-out/local_linux-opt/bin/tensorflow/core/kernels/libwhole_file_read_ops.lo(whole_file_read_ops.o): In function `tensorflow::WholeFileReader::SerializeStateLocked(std::string*)':当我尝试构建 pip 包时，我得到以下错误：
volcart@volcart-Precision-Tower-7910:/usr/local/lib/python2.7/dist-packages/tensorflow$ sudo bazel build -c opt --config=cuda //tensorflow/tools/pip_package:build_pip_packageWARNING: /usr/local/lib/python2.7/dist-packages/tensorflow/util/python/BUILD:11:16: in includes attribute of cc_library rule //util/python:python_headers: 'python_include' resolves to 'util/python/python_include' not in 'third_party'. This will be an error in the future.WARNING: /home/volcart/.cache/bazel/_bazel_root/109ad80a732aaece8a87d1e3693889e7/external/gemmlowp/BUILD:102:12: in hdrs attribute of cc_library rule @gemmlowp//:eight_bit_int_gemm: Artifact 'external/gemmlowp/public/bit_depth.h' is duplicated (through '@gemmlowp//:eight_bit_int_gemm_public_headers' and '@gemmlowp//:gemmlowp_headers').WARNING: /home/volcart/.cache/bazel/_bazel_root/109ad80a732aaece8a87d1e3693889e7/external/gemmlowp/BUILD:102:12: in hdrs attribute of cc_library rule @gemmlowp//:eight_bit_int_gemm: Artifact 'external/gemmlowp/public/gemmlowp.h' is duplicated (through '@gemmlowp//:eight_bit_int_gemm_public_headers' and '@gemmlowp//:gemmlowp_headers').WARNING: /home/volcart/.cache/bazel/_bazel_root/109ad80a732aaece8a87d1e3693889e7/external/gemmlowp/BUILD:102:12: in hdrs attribute of cc_library rule @gemmlowp//:eight_bit_int_gemm: Artifact 'external/gemmlowp/public/map.h' is duplicated (through '@gemmlowp//:eight_bit_int_gemm_public_headers' and '@gemmlowp//:gemmlowp_headers').WARNING: /home/volcart/.cache/bazel/_bazel_root/109ad80a732aaece8a87d1e3693889e7/external/gemmlowp/BUILD:102:12: in hdrs attribute of cc_library rule @gemmlowp//:eight_bit_int_gemm: Artifact 'external/gemmlowp/public/output_stages.h' is duplicated (through '@gemmlowp//:eight_bit_int_gemm_public_headers' and '@gemmlowp//:gemmlowp_headers').WARNING: /home/volcart/.cache/bazel/_bazel_root/109ad80a732aaece8a87d1e3693889e7/external/gemmlowp/BUILD:102:12: in hdrs attribute of cc_library rule @gemmlowp//:eight_bit_int_gemm: Artifact 'external/gemmlowp/profiling/instrumentation.h' is duplicated (through '@gemmlowp//:eight_bit_int_gemm_public_headers' and '@gemmlowp//:gemmlowp_headers').WARNING: /home/volcart/.cache/bazel/_bazel_root/109ad80a732aaece8a87d1e3693889e7/external/gemmlowp/BUILD:102:12: in hdrs attribute of cc_library rule @gemmlowp//:eight_bit_int_gemm: Artifact 'external/gemmlowp/profiling/profiler.h' is duplicated (through '@gemmlowp//:eight_bit_int_gemm_public_headers' and '@gemmlowp//:gemmlowp_headers').INFO: Found 1 target...INFO: From Compiling external/protobuf/src/google/protobuf/util/internal/utility.cc [for host]:...INFO: From Compiling tensorflow/core/distributed_runtime/tensor_coding.cc:tensorflow/core/distributed_runtime/tensor_coding.cc: In member function 'bool tensorflow::TensorResponse::ParseTensorSubmessage(google::protobuf::io::CodedInputStream*, tensorflow::TensorProto*)':tensorflow/core/distributed_runtime/tensor_coding.cc:123:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (num_bytes != buf.size()) return false; ^ERROR: /usr/local/lib/python2.7/dist-packages/tensorflow/tensorflow/core/kernels/BUILD:1498:1: undeclared inclusion(s) in rule '//tensorflow/core/kernels:batchtospace_op_gpu':this rule is missing dependency declarations for the following files included by 'tensorflow/core/kernels/batchtospace_op_gpu.cu.cc': '/usr/local/cuda-8.0/include/cuda_runtime.h' '/usr/local/cuda-8.0/include/host_config.h' '/usr/local/cuda-8.0/include/builtin_types.h' '/usr/local/cuda-8.0/include/device_types.h' '/usr/local/cuda-8.0/include/host_defines.h' '/usr/local/cuda-8.0/include/driver_types.h' '/usr/local/cuda-8.0/include/surface_types.h' '/usr/local/cuda-8.0/include/texture_types.h' '/usr/local/cuda-8.0/include/vector_types.h' '/usr/local/cuda-8.0/include/library_types.h' '/usr/local/cuda-8.0/include/channel_descriptor.h' '/usr/local/cuda-8.0/include/cuda_runtime_api.h' '/usr/local/cuda-8.0/include/cuda_device_runtime_api.h' '/usr/local/cuda-8.0/include/driver_functions.h' '/usr/local/cuda-8.0/include/vector_functions.h' '/usr/local/cuda-8.0/include/vector_functions.hpp' '/usr/local/cuda-8.0/include/common_functions.h' '/usr/local/cuda-8.0/include/math_functions.h' '/usr/local/cuda-8.0/include/math_functions.hpp' '/usr/local/cuda-8.0/include/math_functions_dbl_ptx3.h' '/usr/local/cuda-8.0/include/math_functions_dbl_ptx3.hpp' '/usr/local/cuda-8.0/include/cuda_surface_types.h' '/usr/local/cuda-8.0/include/cuda_texture_types.h' '/usr/local/cuda-8.0/include/device_functions.h' '/usr/local/cuda-8.0/include/device_functions.hpp' '/usr/local/cuda-8.0/include/device_atomic_functions.h' '/usr/local/cuda-8.0/include/device_atomic_functions.hpp' '/usr/local/cuda-8.0/include/device_double_functions.h' '/usr/local/cuda-8.0/include/device_double_functions.hpp' '/usr/local/cuda-8.0/include/sm_20_atomic_functions.h' '/usr/local/cuda-8.0/include/sm_20_atomic_functions.hpp' '/usr/local/cuda-8.0/include/sm_32_atomic_functions.h' '/usr/local/cuda-8.0/include/sm_32_atomic_functions.hpp' '/usr/local/cuda-8.0/include/sm_35_atomic_functions.h' '/usr/local/cuda-8.0/include/sm_60_atomic_functions.h' '/usr/local/cuda-8.0/include/sm_60_atomic_functions.hpp' '/usr/local/cuda-8.0/include/sm_20_intrinsics.h' '/usr/local/cuda-8.0/include/sm_20_intrinsics.hpp' '/usr/local/cuda-8.0/include/sm_30_intrinsics.h' '/usr/local/cuda-8.0/include/sm_30_intrinsics.hpp' '/usr/local/cuda-8.0/include/sm_32_intrinsics.h' '/usr/local/cuda-8.0/include/sm_32_intrinsics.hpp' '/usr/local/cuda-8.0/include/sm_35_intrinsics.h' '/usr/local/cuda-8.0/include/surface_functions.h' '/usr/local/cuda-8.0/include/texture_fetch_functions.h' '/usr/local/cuda-8.0/include/texture_indirect_functions.h' '/usr/local/cuda-8.0/include/surface_indirect_functions.h' '/usr/local/cuda-8.0/include/device_launch_parameters.h' '/usr/local/cuda-8.0/include/cuda_fp16.h' '/usr/local/cuda-8.0/include/math_constants.h' '/usr/local/cuda-8.0/include/curand_kernel.h' '/usr/local/cuda-8.0/include/curand.h' '/usr/local/cuda-8.0/include/curand_discrete.h' '/usr/local/cuda-8.0/include/curand_precalc.h' '/usr/local/cuda-8.0/include/curand_mrg32k3a.h' '/usr/local/cuda-8.0/include/curand_mtgp32_kernel.h' '/usr/local/cuda-8.0/include/cuda.h' '/usr/local/cuda-8.0/include/curand_mtgp32.h' '/usr/local/cuda-8.0/include/curand_philox4x32_x.h' '/usr/local/cuda-8.0/include/curand_globals.h' '/usr/local/cuda-8.0/include/curand_uniform.h' '/usr/local/cuda-8.0/include/curand_normal.h' '/usr/local/cuda-8.0/include/curand_normal_static.h' '/usr/local/cuda-8.0/include/curand_lognormal.h' '/usr/local/cuda-8.0/include/curand_poisson.h' '/usr/local/cuda-8.0/include/curand_discrete2.h'.nvcc warning : option '--relaxed-constexpr' has been deprecated and replaced by option '--expt-relaxed-constexpr'.nvcc warning : option '--relaxed-constexpr' has been deprecated and replaced by option '--expt-relaxed-constexpr'.Target //tensorflow/tools/pip_package:build_pip_package failed to buildUse --verbose_failures to see the command lines of failed build steps.INFO: Elapsed time: 138.913s, Critical Path: 102.63s回答：
我看到有些人抱怨 bazel 0.3.1，可能需要降级到 0.3.0。你提供的错误信息不够详细，那只是父脚本在说子脚本失败了，控制台上应该有更多关于实际错误的信息。
两天前我为 GTX 1080 完成了设置步骤，使用以下配置成功运行：
Ubuntu 16.04Nvidia 驱动程序：nvidia-367.35（从 .run 文件安装）Bazel 0.3.0gcc：4.9.3（Ubuntu 16.04 的默认版本）CUDA 8.0.27（从 .run 文件安装到默认目录）计算能力：（使用配置中的默认值）