Serving: bazel build error (Ubuntu14.04 Docker) no such package 'third_party/llvm': BUILD file not found on package path

[adleihao]

I try to build tensorflow_serving

When I tune off XLA , I can build success

I have installed clang-3.9 and llvm-3.9 at /usr/include/llvm-3.9

How can I tell bazel search llvm from /usr/include/llvm-3.9

any suggestion is welcom

root@c6af0eb2ef28:/serving/tensorflow# ./configure 
Please specify the location of python. [Default is /usr/bin/python]: 
Please specify optimization flags to use during compilation when bazel option "--config=opt" is specified [Default is -march=native]: 
Do you wish to use jemalloc as the malloc implementation? [Y/n] y
jemalloc enabled
Do you wish to build TensorFlow with Google Cloud Platform support? [y/N] n
No Google Cloud Platform support will be enabled for TensorFlow
Do you wish to build TensorFlow with Hadoop File System support? [y/N] n
No Hadoop File System support will be enabled for TensorFlow
**Do you wish to build TensorFlow with the XLA just-in-time compiler (experimental)? [y/N] y**
XLA JIT support will be enabled for TensorFlow
Found possible Python library paths:
  /usr/local/lib/python2.7/dist-packages
  /usr/lib/python2.7/dist-packages
Please input the desired Python library path to use.  Default is [/usr/local/lib/python2.7/dist-packages]

Using python library path: /usr/local/lib/python2.7/dist-packages
Do you wish to build TensorFlow with OpenCL support? [y/N] n
No OpenCL support will be enabled for TensorFlow
Do you wish to build TensorFlow with CUDA support? [y/N] y
CUDA support will be enabled for TensorFlow
Please specify which gcc should be used by nvcc as the host compiler. [Default is /usr/bin/gcc]: 
Please specify the CUDA SDK version you want to use, e.g. 7.0. [Leave empty to use system default]: 
Please specify the location where CUDA  toolkit is installed. Refer to README.md for more details. [Default is /usr/local/cuda]: 
Please specify the Cudnn version you want to use. [Leave empty to use system default]: 
Please specify the location where cuDNN  library is installed. Refer to README.md for more details. [Default is /usr/local/cuda]: 
Please specify a list of comma-separated Cuda compute capabilities you want to build with.
You can find the compute capability of your device at: https://developer.nvidia.com/cuda-gpus.
Please note that each additional compute capability significantly increases your build time and binary size.
[Default is: "3.5,5.2"]: 3.7
INFO: Starting clean (this may take a while). Consider using --expunge_async if the clean takes more than several minutes.
.................................
INFO: All external dependencies fetched successfully.
Configuration finished
root@c6af0eb2ef28:/serving/tensorflow# updatedb
root@c6af0eb2ef28:/serving/tensorflow# cd ../.
root@c6af0eb2ef28:/serving# bazel build tensorflow_serving/...
WARNING: Sandboxed execution is not supported on your system and thus hermeticity of actions cannot be guaranteed. See http://bazel.build/docs/bazel-user-manual.html#sandboxing for more information. You can turn off this warning via --ignore_unsupported_sandboxing.
WARNING: /root/.cache/bazel/_bazel_root/f8d1071c69ea316497c31e40fe01608c/external/org_tensorflow/tensorflow/workspace.bzl:71:5: tf_repo_name was specified to tf_workspace but is no longer used and will be removed in the future.
WARNING: /root/.cache/bazel/_bazel_root/f8d1071c69ea316497c31e40fe01608c/external/inception_model/WORKSPACE:1: Workspace name in /root/.cache/bazel/_bazel_root/f8d1071c69ea316497c31e40fe01608c/external/inception_model/WORKSPACE (@inception) does not match the name given in the repository's definition (@inception_model); this will cause a build error in future versions.
ERROR: /root/.cache/bazel/_bazel_root/f8d1071c69ea316497c31e40fe01608c/external/llvm/BUILD:169:1: no such package 'third_party/llvm': BUILD file not found on package path and referenced by '@llvm//:config_gen'.
ERROR: Analysis of target '//tensorflow_serving/servables/tensorflow/testdata:export_half_plus_two' failed; build aborted.
INFO: Elapsed time: 2.106s

[bowu]

I have the same problem.

[mutasem-mattar]

same problem

[seojey79]

I have same issue.
I use Docker on centOS 6.8.
And I configured like under while "./configure"
"
Please specify the location of python. [Default is /usr/bin/python]:
Please specify optimization flags to use during compilation when bazel option "--config=opt" is specified [Default is -march=native]:
Do you wish to use jemalloc as the malloc implementation? [Y/n] Y
jemalloc enabled
Do you wish to build TensorFlow with Google Cloud Platform support? [y/N] N
No Google Cloud Platform support will be enabled for TensorFlow
Do you wish to build TensorFlow with Hadoop File System support? [y/N] y
Hadoop File System support will be enabled for TensorFlow
Do you wish to build TensorFlow with the XLA just-in-time compiler (experimental)? [y/N] y
XLA JIT support will be enabled for TensorFlow
Found possible Python library paths:
/usr/local/lib/python2.7/dist-packages
/usr/lib/python2.7/dist-packages
Please input the desired Python library path to use. Default is [/usr/local/lib/python2.7/dist-packages]

Using python library path: /usr/local/lib/python2.7/dist-packages
Do you wish to build TensorFlow with OpenCL support? [y/N] N
No OpenCL support will be enabled for TensorFlow
Do you wish to build TensorFlow with CUDA support? [y/N] N
No CUDA support will be enabled for TensorFlow
Configuration finished
INFO: Reading 'startup' options from /root/.bazelrc: --batch
Extracting Bazel installation...
INFO: Starting clean (this may take a while). Consider using --expunge_async if the clean takes more than several minutes.
INFO: Reading 'startup' options from /root/.bazelrc: --batch
INFO: All external dependencies fetched successfully.
"

What's wroing?

[tim-cheng]

same issue here

[mrunfeldt]

@seojey79 Say "n" to XLA support. That fixed the error for me running through Docker (on OSX), following instructions here: https://tensorflow.github.io/serving/docker.html