As the title suggests, I'm running into an issue where proto import statements do not seem to be relative to the correct path. For concreteness, consider the directory structure in a dir (let's call it ~/base):
`>> tree -L 1
├── models
├── my-lib
| ├── nlp
| ├── BUILD
| └── nlp_parser.cc
| └── WORKSPACE
├── serving
└── tensorflow
For those not familiar, models (as in https://github.com/tensorflow/models/) has tensorflow (https://github.com/tensorflow/tensorflow) as a git submodule, as does serving. Because of this coupled with the fact that the git submodules of tensorflow where on different commits and sometimes incompatible, I have removed the gitsubmodule from the projects and symlinked them to the tensorflow repo on the top most directory so that I can manage only one tensor flow repo instead of 3. That is I have done the following:
`cd models/syntaxnet; rm -rf tensorflow; ln -s ../../tensorflow/ .; cd -`
`cd serving; rm -rf tensorflow tf_models; ln -s ../tensorflow/ .; ln -s ../models .`
Now I want to build a target within my-lib that depends on serving, tensorflow, and models. I added these as local repositories in my WORKSPACE as follows (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",
)
Here is my BUILD file (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",
],
)
Lastly, here is the output of the build (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
What is the correct way to add the modules as local_repository in WORKSPACE so that the proto imports work?
