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Bazel没有找到C示例代码的tensorflow包

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我尝试使this example工作，但每次我尝试用bazel构建程序时，我收到此错误消息：

bazel build //code:label_image 
ERROR: /home/jonas/tensorflow/code/BUILD:12:1: no such package 'tensorflow': BUILD file not found on package path and referenced by '//code:label_image'.
ERROR: /home/jonas/tensorflow/code/BUILD:12:1: no such package 'tensorflow': BUILD file not found on package path and referenced by '//code:label_image'.
ERROR: /home/jonas/tensorflow/code/BUILD:12:1: no such package 'tensorflow': BUILD file not found on package path and referenced by '//code:label_image'.
ERROR: /home/jonas/tensorflow/code/BUILD:12:1: no such package 'tensorflow': BUILD file not found on package path and referenced by '//code:label_image'.
ERROR: /home/jonas/tensorflow/code/BUILD:12:1: no such package 'tensorflow': BUILD file not found on package path and referenced by '//code:label_image'.
ERROR: Analysis of target '//code:label_image' failed; build aborted.
INFO: Elapsed time: 1.261s

我在github中保存了名为 code 的确切源代码 . 我通过pip： pip3 install --upgrade tensorflow 在（活动）虚拟环境中安装了 tensorflow . 我使用arch linux .

为什么bazel找不到合适的包装？我对bazel / tensorflow很新 . 这些包保存在哪里？我是否必须在某处明确指定它们？

linux tensorflow packages bazel arch

1 回答

  • 3

    通常，从使用Bazel的项目中提取子文件夹并单独构建它不起作用 .

    如果查看 label_image 文件夹的BUILD文件，您将看到C二进制文件的这个定义：

    cc_binary(
    name = "label_image",
    srcs = [
        "main.cc",
    ],
    linkopts = select({
        "//tensorflow:android": [
            "-pie",
            "-landroid",
            "-ljnigraphics",
            "-llog",
            "-lm",
            "-z defs",
            "-s",
            "-Wl,--exclude-libs,ALL",
        ],
        "//conditions:default": ["-lm"],
    }),
    deps = select({
        "//tensorflow:android": [
            # cc:cc_ops is used to include image ops (for label_image)
            # Jpg, gif, and png related code won't be included
            "//tensorflow/cc:cc_ops",
            "//tensorflow/core:android_tensorflow_lib",
            # cc:android_tensorflow_image_op is for including jpeg/gif/png
            # decoder to enable real-image evaluation on Android
            "//tensorflow/core/kernels:android_tensorflow_image_op",
        ],
        "//conditions:default": [
            "//tensorflow/cc:cc_ops",
            "//tensorflow/core:core_cpu",
            "//tensorflow/core:framework",
            "//tensorflow/core:framework_internal",
            "//tensorflow/core:lib",
            "//tensorflow/core:protos_all_cc",
            "//tensorflow/core:tensorflow",
        ],
    }),
)

    此规则告诉Bazel需要构建 label_image 二进制文件 . 值得注意的是，它具有依赖关系（ deps ）和链接选项（ linkopts ），它们指向tensorflow工作空间的根（ //tensorflow ，由 WORKSPACE 文件定义），这在提取的子文件夹中是缺失的 . 这就是Bazel抱怨无法找到包 tensorflow 的原因 .

    构建 label_image 二进制文件的最简单方法是在tensorflow项目中构建它，因为路径已经设置好了 .

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