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tgamauf / travis_python_debug_install_error_user.log
Created July 4, 2019 09:26
3.6.8 is not installed; attempting download
Downloading archive: https://storage.googleapis.com/travis-ci-language-archives/python/binaries/ubuntu/16.04/x86_64/python-3.6.8.tar.bz2
0.57s$ curl -sSf -o python-3.6.8.tar.bz2 ${archive_url}
12.30s$ sudo tar xjf python-3.6.8.tar.bz2 --directory /
ssh_key
Installing SSH key from: default repository key
Key fingerprint: 5f:a6:70:60:44:83:4a:db:a7:5c:ed:95:c6:31:c1:06
Using /home/travis/.netrc to clone repository.
git.checkout
1.41s$ git clone --depth=50 https://github.com/mostly-ai/mostly-engine.git mostly-ai/mostly-engine
@tgamauf
tgamauf / travis_python_debug_sudo_install_error.log
Created July 4, 2019 09:23
Setting environment variables from .travis.yml
$ export TESTFOLDER=tests/end_to_end
0.01s$ source ~/virtualenv/python3.6.8/bin/activate
$ python --version
Python 3.6.8
$ pip --version
pip 18.1 from /home/travis/virtualenv/python3.6.8/lib/python3.6/site-packages/pip (python 3.6)
before_install.1
2.41s$ sudo -H apt-get update
Hit:1 http://apt.postgresql.org/pub/repos/apt xenial-pgdg InRelease
@tgamauf
tgamauf / gist:6da80cb4cfc57b6d4ffab231bff7f2c6
Created June 27, 2019 07:33
Install error
travis@travis-job-d41614e3-2c9f-46d4-8d17-620bfc4bee5a:~/build/mostly-ai/mostly-engine$ travis_run_before_install
$ sudo apt-get update
Hit:1 http://archive.ubuntu.com/ubuntu xenial InRelease
Hit:2 http://archive.ubuntu.com/ubuntu xenial-updates InRelease
Hit:3 http://archive.ubuntu.com/ubuntu xenial-backports InRelease
Hit:4 http://security.ubuntu.com/ubuntu xenial-security InRelease
Hit:5 http://apt.postgresql.org/pub/repos/apt xenial-pgdg InRelease
Reading package lists... Done
$ sudo apt-get install -y openjdk-8-jre-headless
Reading package lists... Done
@tgamauf
tgamauf / write_tfrecord_with_sequenceexample.ipynb
Last active February 11, 2021 06:54
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@tgamauf
tgamauf / write_tfrecord_with_example.ipynb
Last active October 28, 2019 17:51
Write movie ratings to TFRecord file, then read it back
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@tgamauf
tgamauf / tf_tfrecordwriter.py
Last active March 4, 2018 12:20
Use of tf.python_io.TFRecordWriter
# "example" is of type tf.train.Example.
with tf.python_io.TFRecordWriter('movie_ratings.tfrecord') as writer:
writer.write(example.SerializeToString())
@tgamauf
tgamauf / tf_sequenceexample.py
Last active March 17, 2018 19:00
Use of tf.train.SequenceExample
# We can also add context features (short form)
customer = tf.train.Features(feature={
'Age': tf.train.Feature(int64_list=tf.train.Int64List(value=[19])),
})
example = tf.train.SequenceExample(
context=customer,
feature_lists=movies)
@tgamauf
tgamauf / tf_featurelists.py
Last active March 17, 2018 18:59
Use of tf.train.FeatureLists
movies_dict = {
'Movie Names': movie_names,
'Movie Ratings': movie_ratings,
'Movie Actors': movie_actors
}
movies = tf.train.FeatureLists(feature_list=movies_dict)
@tgamauf
tgamauf / tf_featurelist.py
Last active March 17, 2018 18:59
Use of tf.train.FeatureList
movie_1_actors = tf.train.Feature(
bytes_list=tf.train.BytesList(
value=[b'Tim Robbins', b'Morgan Freeman']))
movie_2_actors = tf.train.Feature(
bytes_list=tf.train.BytesList(
value=[b'Brad Pitt', b'Edward Norton', b'Helena Bonham Carter']))
movie_actors_list = [movie_1_actors, movie_2_actors]
movie_actors = tf.train.FeatureList(feature=movie_actors_list)
# Short form
@tgamauf
tgamauf / tf_example.py
Last active March 17, 2018 18:55
Use of tf.train.Example
example = tf.train.Example(features=movies)