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from caffe2.python import core
import caffe2.python.hypothesis_test_util as hu
import caffe2.python.serialized_test.serialized_test_util as serial
from hypothesis import given, settings
import hypothesis.strategies as st
import numpy as np
import unittest
@st.composite
def _glu_old_input(draw):
dims = draw(st.lists(st.integers(min_value=1, max_value=5), min_size=1, max_size=3))
axis = draw(st.integers(min_value=0, max_value=len(dims)))
# The axis dimension must be divisible by two
axis_dim = 2 * draw(st.integers(min_value=1, max_value=2))
dims.insert(axis, axis_dim)
X = draw(hu.arrays(dims, np.float32, None))
return (X, axis)
class TestGlu(serial.SerializedTestCase):
@given(
X_axis=_glu_old_input(),
**hu.gcs
)
@settings(deadline=10000)
def test_glu_old(self, X_axis, gc, dc):
X, axis = X_axis
def glu_ref(X):
x1, x2 = np.split(X, [X.shape[axis] // 2], axis=axis)
Y = x1 * (1. / (1. + np.exp(-x2)))
return [Y]
op = core.CreateOperator("Glu", ["X"], ["Y"], dim=axis)
self.assertReferenceChecks(gc, op, [X], glu_ref)
if __name__ == "__main__":
unittest.main()
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