嵌套Bazel项目

Question

我正在尝试构建一个使用TensorFlow服务的项目,所以我创建了一个带有WORKSPACE文件的目录my_dir,将服务repo克隆到其中,将我的自定义文件放入my_project目录,在tensorflow_serving中配置tensorflow,从my_dir构建tensorflow服务/服务

bazel build //tensorflow_serving/...

那里的一切都很好,然后我尝试构建一个模仿mnist_export的python文件并将其放在my_dir中并生成一个BUILD文件

py_binary(
   name = "export_cnn",
   srcs = [
       "export_cnn.py",
   ],
   deps = [
       "@tf//tensorflow:tensorflow_py",
       "@tf_serving//tensorflow_serving/session_bundle:exporter",
   ],
)

但是,当我跑

bazel build //my_project:export_cnn

我收到以下错误:

ERROR: 

.../bazel/_bazel_me/3ef3308a843af155635e839105e8da5c/external/tf/tensorflow/core/BUILD:92:1: null failed: protoc failed: error executing command bazel-out/host/bin/external/tf/google/protobuf/protoc '--cpp_out=bazel-out/local_linux-fastbuild/genfiles/external/tf' -Iexternal/tf -Iexternal/tf/google/protobuf/src ... (remaining 1 argument(s) skipped).
tensorflow/core/framework/step_stats.proto: File not found.
tensorflow/core/framework/device_attributes.proto: File not found.
tensorflow/core/framework/graph.proto: File not found.
tensorflow/core/framework/tensor.proto: File not found.
tensorflow/core/protobuf/config.proto: File not found.
tensorflow/core/protobuf/worker.proto: Import "tensorflow/core/framework/step_stats.proto" was not found or had errors.
tensorflow/core/protobuf/worker.proto: Import "tensorflow/core/framework/device_attributes.proto" was not found or had errors.
tensorflow/core/protobuf/worker.proto: Import "tensorflow/core/framework/graph.proto" was not found or had errors.
tensorflow/core/protobuf/worker.proto: Import "tensorflow/core/framework/tensor.proto" was not found or had errors.
tensorflow/core/protobuf/worker.proto: Import "tensorflow/core/protobuf/config.proto" was not found or had errors.
tensorflow/core/protobuf/worker.proto:41:12: "DeviceAttributes" is not defined.
tensorflow/core/protobuf/worker.proto:64:3: "GraphDef" is not defined.
tensorflow/core/protobuf/worker.proto:72:3: "GraphOptions" is not defined.
tensorflow/core/protobuf/worker.proto:141:3: "TensorProto" is not defined.
tensorflow/core/protobuf/worker.proto:180:3: "StepStats" is not defined.
tensorflow/core/protobuf/worker.proto:225:3: "BusAdjacency" is not defined.
tensorflow/core/protobuf/worker.proto:227:3: "BusAdjacency" is not defined.
tensorflow/core/protobuf/worker.proto:232:3: "TensorProto" is not defined.
tensorflow/core/protobuf/worker.proto:272:3: "StepStats" is not defined.

在我的WORKSPACE文件中,我有以下内容:

local_repository(
  name = "tf",
  path = __workspace_dir__ + "/serving/tensorflow",
)

local_repository(
  name = "tf_serving",
  path = __workspace_dir__ + "/serving",
)

load('//serving/tensorflow/tensorflow:workspace.bzl', 'tf_workspace')
tf_workspace("serving/tensorflow/", "@tf")

我的假设是因为tensorflow是一个子子项目,所以它不会将其生成的文件放在祖父项目中.但是,我尝试过很多东西,但却无法让它发挥作用.

Answer 1

我的张量流服务在一个文件夹中，我的项目在另一个文件夹中。这是我的工作空间文件：

workspace(name = "my_project")

local_repository(
  name = "org_tensorflow",
  path = __workspace_dir__ + "/tf-serving/tensorflow/",
)

local_repository(
  name = "tf_serving",
  path = __workspace_dir__ + "/tf-serving/",
)

load('//tf-serving/tensorflow/tensorflow:workspace.bzl', 'tf_workspace')
tf_workspace("tf-serving/tensorflow/", "@org_tensorflow")

# ===== gRPC dependencies =====

bind(
    name = "libssl",
    actual = "@boringssl_git//:ssl",
)

bind(
    name = "zlib",
    actual = "@zlib_archive//:zlib",
)

我还将 zlib.BUILD 从张量流服务复制到了我拥有 WORKSPACE 文件的同一位置。

我的项目中的 BUILD 文件具有以下规则（与您的类似）：

py_binary(
    name = "export_model",
    srcs = [
        "export_model.py",
    ],
    deps = [
        "@org_tensorflow//tensorflow:tensorflow_py",
        "@tf_serving//tensorflow_serving/session_bundle:exporter",
    ],
)

我的代码和你的代码之间的区别在于我将依赖项包含在我的根工作空间中。这段代码在一台机器上编译并运行良好，但由于一种依赖关系，我在其他机器（ubuntu 14.04）上编译它时遇到一些问题。我希望这个对你有用。