Question

正如标题所暗示的那样，我遇到的问题是proto import语句似乎与正确的路径无关。为了具体，请考虑目录中的目录结构（让我们称之为〜/ base）：

`>> tree -L 1
├── models
├── my-lib
|     ├── nlp
|        ├── BUILD
|        └── nlp_parser.cc
|     └── WORKSPACE
├── serving
└── tensorflow

对于那些不熟悉的人，models（如在https://github.com/tensorflow/models/中）有张量流（https://github.com/tensorflow/tensorflow）作为git子模块，serving也是如此。由于这一点加上tensorflow的git子模块在不同的提交和有时不兼容的事实，我已经从项目中删除了gitsubmodule并将它们符号链接到最顶层目录上的tensorflow repo，这样我只能管理一个张量流repo而不是3.那就是我做了以下事情：

`cd models/syntaxnet; rm -rf tensorflow; ln -s ../../tensorflow/ .; cd -`

`cd serving; rm -rf tensorflow tf_models; ln -s ../tensorflow/ .; ln -s ../models .`

现在，我想在my-lib内构建一个取决于serving，tensorflow和models的目标。我将这些作为本地存储库添加到我的WORKSPACE中，如下所示（cat my-lib/WORKSPACE）：

workspace(name = "myworkspace")

local_repository(
  name = "org_tensorflow",
  path = __workspace_dir__ + "/../tensorflow",
)

local_repository(
  name = "syntaxnet",
  path = __workspace_dir__ + "/../models/syntaxnet",
)

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

load('@org_tensorflow//tensorflow:workspace.bzl', 'tf_workspace')
tf_workspace("~/base/tensorflow", "@org_tensorflow")

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

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

这是我的BUILD文件（cat my-lib/nlp/BUILD）：

load("@tf_serving//tensorflow_serving:serving.bzl", "serving_proto_library")

cc_binary(
  name = "nlp_parser",
  srcs = [ "nlp_parser.cc" ],
  linkopts = ["-lm"],
  deps = [
        "@org_tensorflow//tensorflow/core:core_cpu",
        "@org_tensorflow//tensorflow/core:framework",
        "@org_tensorflow//tensorflow/core:lib",
        "@org_tensorflow//tensorflow/core:protos_all_cc",
        "@org_tensorflow//tensorflow/core:tensorflow",
        "@syntaxnet//syntaxnet:parser_ops_cc",
        "@syntaxnet//syntaxnet:sentence_proto",
        "@tf_serving//tensorflow_serving/servables/tensorflow:session_bundle_config_proto",
        "@tf_serving//tensorflow_serving/servables/tensorflow:session_bundle_factory",
        "@org_tensorflow//tensorflow/contrib/session_bundle",
        "@org_tensorflow//tensorflow/contrib/session_bundle:signature",
  ],
)

最后，这是构建的输出（cd my-lib; bazel build nlp/nlp_parser --verbose_failures）：

INFO: Found 1 target...
ERROR: /home/blah/blah/external/org_tensorflow/tensorflow/core/debug/BUILD:33:1: null failed: linux-sandbox failed: error executing command 
  (cd /home/blah/blah/execroot/my-lib && \
  exec env - \
  /home/blah/blah/execroot/my-lib/_bin/linux-sandbox @/home/blah/blah/execroot/my-lib/bazel-sandbox/c65fa6b6-9b7d-4710-b19c-4d42a3e6a667-31.params -- bazel-out/host/bin/external/protobuf/protoc '--cpp_out=bazel-out/local-fastbuild/genfiles/external/org_tensorflow' '--plugin=protoc-gen-grpc=bazel-out/host/bin/external/grpc/grpc_cpp_plugin' '--grpc_out=bazel-out/local-fastbuild/genfiles/external/org_tensorflow' -Iexternal/org_tensorflow -Ibazel-out/local-fastbuild/genfiles/external/org_tensorflow -Iexternal/protobuf/src -Ibazel-out/local-fastbuild/genfiles/external/protobuf/src external/org_tensorflow/tensorflow/core/debug/debug_service.proto).
bazel-out/local-fastbuild/genfiles/external/protobuf/src: warning: directory does not exist.
tensorflow/core/util/event.proto: File not found.
tensorflow/core/debug/debug_service.proto: Import "tensorflow/core/util/event.proto" was not found or had errors.
tensorflow/core/debug/debug_service.proto:38:25: "Event" is not defined.
Target //nlp:nlp_parser failed to build
INFO: Elapsed time: 0.776s, Critical Path: 0.42s

在WORKSPACE中将模块添加为local_repository的正确方法是什么，以便原型导入有效？

Answer 1

在尝试根据Ubuntu上的tensorflow构建我的项目后，我遇到了类似的问题。在OS X上构建它之后。最终为我工作的是使用const tasks = this.state.tasks.map((task) => { var editable = this.state.editableTasks.filter(id => id === task.Id).length > 0; return ( <li key={task.Id} className="list-group-item" style={{minHeight: '50px'}}> <div className="pull-left" style={{width: '50%'}}> {editable ? <input type="text" /> : <span>{task.Name}</span>} </div> <div className="pull-right" style={{marginTop: '-5px', width: '50%'}}> <div className="pull-right"> <button className="btn btn-default" onClick={() => {this.AddSubTask(task.Id)}}>Add</button> <button className="btn btn-default" onClick={() => { this.EditTask(task.Id)}}>{editable ? 'Save' : 'Edit'}</button> </div> </div> </li> //What I have currently tried: //for(var i = 0; i < task.SubTasks.length; i++) { //<ul> //<li> //...etc //</li> //</ul> //} //{task.SubTasks.map((subtask) => { //<ul> //<li> //...etc //</li> //</ul> //)}; ); }); return ( <div className="table-wrapper"> <div className="task-container"> <h3>{this.props.rowName}</h3> </div> <ul id="tasksContainer"> {tasks} <li className="list-group-item list-group-item-last"><input type="button" value="Add Task" onClick={this.createTask.bind(this)} className="btn btn-success btn-override" /></li> </ul> </div> );禁用沙盒

在bazel构建系统中配置相互依赖的项目（例如tensorflow）的正确方法，以便proto导入工作原样吗？

1 个答案: