Question

我正在尝试构建一个使用TensorFlow服务的项目，因此我使用WORKSPACE文件创建了一个目录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，构建tensorflow从my_dir /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",
   ],
)

然而，当我跑

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")

我的假设是因为张量流是子子项目，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

我在一个文件夹中使用tensorflow，在另一个文件夹中使用我的项目。这是我的WORKSPACE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服务复制到我有WORKSPACE文件的同一个地方。

我项目中的BUILD文件有这个规则（与你的类似）：

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WORKSPACE中。这段代码在一台机器上编译和工作正常我有一些问题要在其他机器上编译它（ubuntu 14.04）因为一个依赖。我希望它适合你。

Answer 2

我还必须添加

--genrule_strategy=standalone --spawn_strategy=standalone

到构建命令以便修复依赖关系，它从tf服务工作区运行时很好地编译，但是只要我将tf-serving链接为子模块并从我的工作区运行它就会丢失错误编译grpc时的头文件（nanopb / pb.h）。

嵌套Bazel项目

2 个答案: