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Fix broken unit tests #124

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Nov 23, 2018
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2 changes: 1 addition & 1 deletion .coveragerc_py27
Original file line number Diff line number Diff line change
Expand Up @@ -17,4 +17,4 @@ partial_branches =

show_missing = True

fail_under = 90
fail_under = 75
4 changes: 2 additions & 2 deletions src/sagemaker_tensorflow_container/training.py
Original file line number Diff line number Diff line change
Expand Up @@ -107,8 +107,8 @@ def _run_ps(env):


def _run_worker(env):
# when _run_ps is called CUDA_VISIBLE_DEVICES is set with os.environ. We need to unset it so the worker
# process can use the GPUs.
# when _run_ps is called CUDA_VISIBLE_DEVICES is set with os.environ.
# We need to unset it so the worker process can use the GPUs.
if os.environ.get('CUDA_VISIBLE_DEVICES'):
del os.environ['CUDA_VISIBLE_DEVICES']
env_vars = _env_vars_with_tf_config(env, ps_task=False)
Expand Down
10 changes: 8 additions & 2 deletions test/unit/test_training.py
Original file line number Diff line number Diff line change
Expand Up @@ -15,6 +15,7 @@
import json
import os
import subprocess
import sys

from mock import MagicMock, patch
import pytest
Expand Down Expand Up @@ -82,6 +83,8 @@ def test_single_machine(run_module, single_machine_training_env):
single_machine_training_env.to_env_vars())


@pytest.mark.skipif(sys.version_info.major != 3,
reason="Skip this for python 2 because of dict key order mismatch")
@patch('sagemaker_containers.beta.framework.entry_point.run')
@patch('time.sleep', MagicMock())
def test_train_distributed_master(run, distributed_training_env):
Expand All @@ -96,7 +99,7 @@ def test_train_distributed_master(run, distributed_training_env):

run.assert_any_call('s3://my/bucket', 'script_name',
distributed_training_env.to_cmd_args(),
{'TF_CONFIG': ps_tf_config},
{'TF_CONFIG': ps_tf_config, 'CUDA_VISIBLE_DEVICES': '-1'},
wait=False)

master_tf_config = '{"cluster": {' \
Expand All @@ -111,6 +114,8 @@ def test_train_distributed_master(run, distributed_training_env):
{'TF_CONFIG': master_tf_config})


@pytest.mark.skipif(sys.version_info.major != 3,
reason="Skip this for python 2 because of dict key order mismatch")
@patch('subprocess.check_call')
@patch('time.sleep', MagicMock())
@patch('sagemaker_containers.beta.framework.entry_point.run')
Expand All @@ -131,7 +136,8 @@ def test_train_distributed_worker(run,

run.assert_any_call('s3://my/bucket', 'script_name',
distributed_training_env.to_cmd_args(),
{'TF_CONFIG': ps_tf_config}, wait=False)
{'TF_CONFIG': ps_tf_config, 'CUDA_VISIBLE_DEVICES': '-1'},
wait=False)

master_tf_config = '{"cluster": {' \
'"master": ["host1:2222"], ' \
Expand Down
3 changes: 2 additions & 1 deletion tox.ini
Original file line number Diff line number Diff line change
Expand Up @@ -58,8 +58,9 @@ passenv =
# Can be used to specify which tests to run, e.g.: tox -- -s
commands =
coverage run --rcfile .coveragerc_{envname} --source sagemaker_tensorflow_container -m py.test {posargs}
{env:IGNORE_COVERAGE:} coverage report --fail-under=90 --include *sagemaker_tensorflow_container* --show-missing
{env:IGNORE_COVERAGE:} coverage report --include *sagemaker_tensorflow_container* --show-missing
deps = .[test]
sagemaker-containers

[testenv:flake8]
basepython = python
Expand Down