def test_args_mxnet_host_non_defaults():
args = cli.parse_arguments('{} mxnet host --role-name role {} {}'.format(
LOG_ARGS, COMMON_ARGS, HOST_ARGS).split())
assert_common_non_defaults(args)
assert_host_non_defaults(args)
assert args.func.__module__ == 'sagemaker.cli.mxnet'
assert args.func.__name__ == 'host'
def test_mxnet_host(session, upload_model, model):
args = cli.parse_arguments('mxnet host --role-name role'.split())
args.func(args)
session.assert_called()
upload_model.assert_called()
model.assert_called()
model.return_value.deploy.assert_called()
def test_args_mxnet_train_non_defaults():
args = cli.parse_arguments("{} mxnet train --role-name role {} {}".format(
LOG_ARGS, COMMON_ARGS, TRAIN_ARGS).split())
assert_common_non_defaults(args)
assert_train_non_defaults(args)
assert args.func.__module__ == "sagemaker.cli.mxnet"
assert args.func.__name__ == "train"
def test_args_tensorflow_train_defaults():
args = cli.parse_arguments('tensorflow train --role-name role'.split())
assert_common_defaults(args)
assert_train_defaults(args)
assert args.training_steps is None
assert args.evaluation_steps is None
assert args.func.__module__ == 'sagemaker.cli.tensorflow'
assert args.func.__name__ == 'train'
def test_args_tensorflow_host_non_defaults():
args = cli.parse_arguments(
"{} tensorflow host --role-name role {} {}".format(
LOG_ARGS, COMMON_ARGS, HOST_ARGS).split())
assert_common_non_defaults(args)
assert_host_non_defaults(args)
assert args.func.__module__ == "sagemaker.cli.tensorflow"
assert args.func.__name__ == "host"
def test_args_tensorflow_train_non_defaults():
args = cli.parse_arguments(
'{} tensorflow train --role-name role --training-steps 10 --evaluation-steps 5 {} {}'
.format(LOG_ARGS, COMMON_ARGS, TRAIN_ARGS).split())
assert_common_non_defaults(args)
assert_train_non_defaults(args)
assert args.training_steps == 10
assert args.evaluation_steps == 5
assert args.func.__module__ == 'sagemaker.cli.tensorflow'
assert args.func.__name__ == 'train'
def test_args_mxnet_host_defaults():
args = cli.parse_arguments('mxnet host --role-name role'.split())
assert_common_defaults(args)
assert_host_defaults(args)
assert args.func.__module__ == 'sagemaker.cli.mxnet'
assert args.func.__name__ == 'host'
def test_mxnet_train(session, estimator):
args = cli.parse_arguments('mxnet train --role-name role'.split())
args.func(args)
session.return_value.upload_data.assert_called()
estimator.assert_called()
estimator.return_value.fit.assert_called()
def test_args_invalid_train_args_in_host():
with pytest.raises(SystemExit):
cli.parse_arguments(
'tensorflow host --role-name role --hyperparameters foo.json'.
split())
def test_args_invalid_host_args_in_train():
with pytest.raises(SystemExit):
cli.parse_arguments(
'mxnet train --role-name role --env FOO=bar'.split())
def test_args_invalid_mxnet_python():
with pytest.raises(SystemExit):
cli.parse_arguments('mxnet train --role-name role nython py2'.split())
def test_args_invalid_args():
with pytest.raises(SystemExit):
cli.parse_arguments(
'tensorflow train --role-name role --notdata foo'.split())
def test_args_invalid_subcommand():
with pytest.raises(SystemExit):
cli.parse_arguments('mxnet drain'.split())
def test_args_invalid_framework():
with pytest.raises(SystemExit):
cli.parse_arguments('fakeframework train --role-name role'.split())
def test_args_tensorflow_host_defaults():
args = cli.parse_arguments('tensorflow host --role-name role'.split())
assert_common_defaults(args)
assert_host_defaults(args)
assert args.func.__module__ == 'sagemaker.cli.tensorflow'
assert args.func.__name__ == 'host'
def test_args_mxnet_train_defaults():
args = cli.parse_arguments("mxnet train --role-name role".split())
assert_common_defaults(args)
assert_train_defaults(args)
assert args.func.__module__ == "sagemaker.cli.mxnet"
assert args.func.__name__ == "train"
