Failing to build/test (bazel) Syntaxnet (Tensorflow)

Question

I am trying to run the basic tutorial following the instruction at https://github.com/tensorflow/models/tree/master/syntaxnet

I am getting the following error when I do bazel test syntaxnet/... util/utf8/...

Following is the error snippet:

//syntaxnet:arc_standard_transitions_test PASSED in 0.0s
//syntaxnet:parser_features_test PASSED in 0.0s
//syntaxnet:sentence_features_test PASSED in 0.0s
//syntaxnet:shared_store_test PASSED in 0.2s
//syntaxnet:tagger_transitions_test PASSED in 0.0s
//util/utf8:unicodetext_unittest PASSED in 0.0s
//syntaxnet:beam_reader_ops_test FAILED in 0.1s
//syntaxnet:graph_builder_test FAILED in 0.1s
//syntaxnet:lexicon_builder_test FAILED in 0.1s
//syntaxnet:parser_trainer_test FAILED in 0.1s
//syntaxnet:reader_ops_test FAILED in 0.1s
//syntaxnet:text_formats_test FAILED in 0.1s

Executed 12 out of 12 tests: 6 tests pass and 6 fail locally. There were tests whose specified size is too big. Use the --test_verbose_timeout_warnings command line option to see which ones these are.

Is anybody familiar with this kind of error? Any help will be appreciated.

Thank you very much in advance.

Answer 1

If you are on Mac, test it by using this command instead:

bazel test --linkopt=-headerpad_max_install_names \
syntaxnet/... util/utf8/...

Answer 2

I was facing the same problem,until I found that it was a memory related problem.I build it on Ubuntu 14.04 with --local_resources 2048,.5,1.0 flag. Follow these steps:

1 get coorect version of bazel wget https://github.com/bazelbuild/bazel/releases/download/0.2.2b/bazel-0.2.2b-installer-linux-x86_64.sh

2 chmod +x bazel-0.2.2b-installer-linux-x86_64.sh

3 ./bazel-0.2.2b-installer-linux-x86_64.sh --user

4 git clone --recursive https://github.com/tensorflow/models.git

5 cd /models/syntaxnet/tensorflow

6 ./configure

7 cd ..

8 bazel test --local_resources 2048,.5,1.0 --genrule_strategy=standalone syntaxnet/... util/utf8/...

Hope this will help others!

Answer 3

You could try increasing your Virtual RAM. I had to make it 8GBs just to get it to work.

This link might help for that.
https://www.digitalocean.com/community/tutorials/how-to-configure-virtual-memory-swap-file-on-a-vps