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Moved test out of run_in_graph_and_eager_mode in maxout. #1434

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Mar 27, 2020
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Moved test out of run_in_graph_and_eager_mode in maxout. #1434

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72 changes: 34 additions & 38 deletions tensorflow_addons/layers/maxout_test.py
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Original file line number Diff line number Diff line change
Expand Up @@ -18,49 +18,45 @@

import pytest
import numpy as np
import tensorflow as tf

from tensorflow_addons.layers.maxout import Maxout
from tensorflow_addons.utils import test_utils


@test_utils.run_all_in_graph_and_eager_modes
class MaxOutTest(tf.test.TestCase):
def test_simple(self):
test_utils.layer_test(
Maxout, kwargs={"num_units": 3}, input_shape=(5, 4, 2, 18)
)

def test_nchw(self):
test_utils.layer_test(
Maxout, kwargs={"num_units": 4, "axis": 1}, input_shape=(2, 20, 3, 6)
)

test_utils.layer_test(
Maxout, kwargs={"num_units": 4, "axis": -3}, input_shape=(2, 20, 3, 6)
)

def test_unknown(self):
inputs = np.random.random((5, 4, 2, 18)).astype("float32")
test_utils.layer_test(
Maxout,
kwargs={"num_units": 3},
input_shape=(5, 4, 2, None),
input_data=inputs,
)

test_utils.layer_test(
Maxout,
kwargs={"num_units": 3},
input_shape=(None, None, None, None),
input_data=inputs,
)

def test_invalid_shape(self):
with self.assertRaisesRegexp(ValueError, r"number of features"):
test_utils.layer_test(
Maxout, kwargs={"num_units": 3}, input_shape=(5, 4, 2, 7)
)
pytestmark = pytest.mark.usefixtures("maybe_run_functions_eagerly")
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def test_simple():
test_utils.layer_test(Maxout, kwargs={"num_units": 3}, input_shape=(5, 4, 2, 18))


def test_nchw():
test_utils.layer_test(
Maxout, kwargs={"num_units": 4, "axis": 1}, input_shape=(2, 20, 3, 6)
)

test_utils.layer_test(
Maxout, kwargs={"num_units": 4, "axis": -3}, input_shape=(2, 20, 3, 6)
)


def test_unknown():
inputs = np.random.random((5, 4, 2, 18)).astype("float32")
test_utils.layer_test(
Maxout, kwargs={"num_units": 3}, input_shape=(5, 4, 2, None), input_data=inputs,
)

test_utils.layer_test(
Maxout,
kwargs={"num_units": 3},
input_shape=(None, None, None, None),
input_data=inputs,
)


def test_invalid_shape():
with pytest.raises(ValueError, match="number of features"):
test_utils.layer_test(Maxout, kwargs={"num_units": 3}, input_shape=(5, 4, 2, 7))


if __name__ == "__main__":
Expand Down