6

我正在尝试构建一个使用 TensorFlow Serving 的项目，所以我使用 WORKSPACE 文件创建了一个目录 my_dir，将服务存储库克隆到其中，将我的自定义文件放入目录 my_project，在 tensorflow_serving 中配置 tensorflow，从 my_dir 构建 tensorflow 服务/服务于

bazel build //tensorflow_serving/...

那里一切都很好，然后我尝试构建一个模仿 mnist_export 的 python 文件并将其放入 my_dir 并制作一个 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，当我跑步时

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的 bazel-out 中。但是，我尝试了很多东西，但无法让它工作。

4

2 回答 2

3

我在一个文件夹中提供 tensorflow，在另一个文件夹中提供我的项目。这是我的工作区文件：

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 tensorflow 服务复制到我拥有 WORKSPACE 文件的同一位置。

我项目中的 BUILD 文件有这个规则（类似于你的）：

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 WORKSPACE 中。这段代码在一台机器上编译和工作正常我在其他机器上编译它（ubuntu 14.04）由于一个依赖项而有一些问题。我希望这个对你有用。

于 2016-06-21T14:30:16.697 回答
0

我还必须添加

--genrule_strategy=standalone --spawn_strategy=standalone

到 build 命令以修复依赖关系，它在从 tf-serving 工作区运行时编译得很好，但是一旦我将 tf-serving 作为子模块链接并从我的工作区运行它，我就会遇到缺少头文件的错误（ nanopb/pb.h) 在编译 grpc 时。

于 2016-07-03T12:11:28.303 回答