为了从源代码构建TensorFlow,我按照建议安装了bazelisk。然后,当我调用调用bazelisk的./configure时,我得到以下错误:
Downloading https://releases.bazel.build/0.29.1/release/bazel-0.29.1-lin
ux-x86_64...
2021/04/07 13:24:54 could not download Bazel: HTTP GET https://releases.bazel.build/0.29.1/r
elease/bazel-0.29.1-linux-x86_64 failed: Get
我想从源代码安装bazel,并使用bazel在运行redhat 6.7的集群上编译tensorflow。当我尝试安装bazel时,glibc版本(2.12)太旧了。我没有对群集的root访问权限。在这种情况下可以安装tensorflow吗?
我的系统信息:
-bash-4.1$ cat /etc/redhat-release
Red Hat Enterprise Linux Server release 6.7 (Santiago)
-bash-4.1$ which gcc
/usr/bin/gcc
-bash-4.1$ gcc -v
Using built-in specs.
Target:
我正在尝试找出我的计算机上当前有哪个版本的Bazel可以从源代码安装TensorFlow (它需要0.1.4版本)
evan@evan-box:~/Apps/tensorflow$ bazel --version
Unknown Bazel startup option: '--version'.
For more info, run 'blaze help startup_options'.
evan@evan-box:~/Apps/tensorflow$ bazel version
Build label: head (@125b349)
Build t
我可以访问一台大型的IBM Power8机器,并希望在其上安装TensorFlow。当然,我尝试了快速pip安装,但失败了:
sudo pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.6.0-cp27-none-linux_x86_64.whl
tensorflow-0.6.0-cp27-none-linux_x86_64.whl is not a supported wheel on this platform.
Storing debug log for failure in /hom
我可以访问一个大型的IBM机器(运行Power8 ),并希望在它上构建Bazel。然而,当我试图按照他们的安装说明去做的时候,我得到:
me@machine:~/bazel-0.1.5$ ./compile.sh
INFO: You can skip this first step by providing a path to the bazel binary as second argument:
INFO: ./compile.sh compile /path/to/bazel
Building Bazel from scratch.
Compiling Java stubs f
我按照他们在GitHub自述文件上的说明安装冰糕:
安装依赖项
brew install bazel autoconf coreutils parallel Clone this repository
git克隆光盘冰糕
bazel build //main:sorbet --config=dbg
但当我运行它时,我得到了以下信息:
$ bazel-bin/main/sorbet -e "42 + 2"
Hey there! Heads up that this is not a release build of sorbet.
Release builds are
我试图构建一个外部项目,使用Bazel作为它的构建系统,从CMake与忍者。我是通过使用ExternalProject_Add来做到这一点的。
ExternalProject_Add(bazel_proj
SOURCE_DIR "${bazel_proj_DIR}"
CONFIGURE_COMMAND :
CONFIGURE_HANDLED_BY_BUILD ON
BUILD_COMMAND bazel build //:install
INSTALL_COMMAND bazel run //:install
BUILD_IN_SOURCE ON
B
我试图从Raspberry Pi 3(型号B)的来源构建Bazel。我遇到了错误
Protobuf compiler not found in third_party/protobuf/protoc-linux-arm32.exe
早些时候,我尝试下载可用的.deb包,由于对JDK7的依赖没有得到解决,该包未能安装(即使在force体系结构之后,值得注意的是Pi 3是armhf 64系统)。JDK7无法通过apt-get获得。
我对Bazel协议缓冲区的理解非常有限,请帮助我:
在Raspberry Pi 3上成功构建Bazel的步骤
有人可以这样做,或他们的任何存储库,我可以直接包括
当我执行以下操作时,我得到了构建错误。我需要构建Tensorflow,因为我正在尝试添加我自己的操作。在没有使用"-c opt“的情况下,我也得到了同样的错误。我做错了什么?
$ docker run -it b.gcr.io/tensorflow/tensorflow-full
root@3b2b67124684:~# cd /tensorflow/
root@3b2b67124684:/tensorflow# ./configure
Do you wish to build TensorFlow with GPU support? [y/n] n
No GPU support wi
我正在尝试为Nvidia Pegasus aarch64设置交叉编译,但我无法清除这个错误:我不确定问题是什么。我是不是遗漏了一些compiler_flags或cxx_builtin_include_directory? 任何帮助或指针都是非常感谢的! .dazelrc not detected, or running in a container, starting bazel
bazelisk is installed, starting up bazel
INFO: Invocation ID: 23bd7eb6-5784-43bd-b3da-a028b8e5517c
INFO: An
我使用的是Linux aarch64机器。我使用miniconda3并在miniconda3中创建一个虚拟环境。我想用bazel安装tensorflow。因此,我首先下载bazel文件。
在提取"bazel“的zip文件后运行compile.sh文件时,会得到以下错误
INFO: You can skip this first step by providing a path to the bazel binary as second argument:
INFO: ./compile.sh compile /path/to/bazel
Building Bazel from