Tensorflow Serving Compile Error Using Docker on OSX

问题

I'm trying to install TensorFlow serving on OSX El Capitan using Docker but keep running into an error. Here is the tutorial I'm following:

https://tensorflow.github.io/serving/docker.html

Here is the command causing the error:

bazel test tensorflow_serving/...

Here's the error I'm getting:

for (int i = 0; i < suffix.size(); ++i) {
                                   ^
ERROR: /root/.cache/bazel/_bazel_root/f8d1071c69ea316497c31e40fe01608c/external/tf/tensorflow/core/kernels/BUILD:212:1: C++ compilation of rule '@tf//tensorflow/core/kernels:mirror_pad_op' failed: gcc failed: error executing command /usr/bin/gcc -U_FORTIFY_SOURCE '-D_FORTIFY_SOURCE=1' -fstack-protector -Wall -Wunused-but-set-parameter -Wno-free-nonheap-object -fno-omit-frame-pointer '-std=c++0x' -iquote external/tf -iquote ... (remaining 65 argument(s) skipped): com.google.devtools.build.lib.shell.BadExitStatusException: Process exited with status 4.
gcc: internal compiler error: Killed (program cc1plus)
Please submit a full bug report,
with preprocessed source if appropriate.

回答1:

Solved! Looks like the issues was with running out of memory in the VM.

Here's how I fixed it:

1) When creating the machine, make sure it has more memory (mine was only 1GB). Here is how you create a docker machine with 4GB:

docker-machine create -d virtualbox --virtualbox-memory 4096 default

2) When running the bazel command pass in a parameter limiting the amount of memory to use. Here I'm running the command using only 2GB:

bazel build -c opt --copt=-mavx --verbose_failures --local_resources 2048,2.0,1.0 -j 1 //tensorflow_serving/example:mnist_export

Where the original command was:

bazel build //tensorflow_serving/example:mnist_export

来源：https://stackoverflow.com/questions/36264339/tensorflow-serving-compile-error-using-docker-on-osx

标签

tensorflow

tensorflow-serving