def test_contraint_raises(self):
with self.test_session():
x = tf.constant([0.01, np.inf])
with self.assertRaisesOpError('Inf'):
softplus(x).eval()
x = tf.constant([0.01, np.nan])
with self.assertRaisesOpError('NaN'):
softplus(x).eval()
def test_contraint_raises(self):
with self.test_session():
x = tf.constant([0.01, np.inf])
with self.assertRaisesOpError('Inf'):
softplus(x).eval()
x = tf.constant([0.01, np.nan])
with self.assertRaisesOpError('NaN'):
softplus(x).eval()
def test_softplus_0d(self):
with self.test_session():
x = tf.constant(-1e32)
self.assertAllEqual(softplus(x).eval(), 0.0)
x = tf.constant(0.0)
self.assertAllClose(softplus(x).eval(), 0.69314718055994529)
x = tf.constant(1.0)
self.assertAllClose(softplus(x).eval(), 1.3132616875182228)
x = tf.constant(10.0)
self.assertAllClose(softplus(x).eval(), 10.000045398899218)
x = tf.constant(100.0)
self.assertAllEqual(softplus(x).eval(), 100.0)
def test_softplus_1d(self):
with self.test_session():
x = tf.constant([-1e32, -1e32])
self.assertAllEqual(softplus(x).eval(), [0.0, 0.0])
x = tf.constant([0.0, 0.0])
self.assertAllClose(
softplus(x).eval(), [0.69314718055994529, 0.69314718055994529])
x = tf.constant([1.0, 1.0])
self.assertAllClose(
softplus(x).eval(), [1.3132616875182228, 1.3132616875182228])
x = tf.constant([10.0, 10.0])
self.assertAllClose(
softplus(x).eval(), [10.000045398899218, 10.000045398899218])
x = tf.constant([100.0, 100.0])
self.assertAllEqual(softplus(x).eval(), [100.0, 100.0])
def test_softplus_1d(self):
with self.test_session():
x = tf.constant([-1e32, -1e32])
self.assertAllEqual(softplus(x).eval(),
[0.0, 0.0])
x = tf.constant([0.0, 0.0])
self.assertAllClose(softplus(x).eval(),
[0.69314718055994529, 0.69314718055994529])
x = tf.constant([1.0, 1.0])
self.assertAllClose(softplus(x).eval(),
[1.3132616875182228, 1.3132616875182228])
x = tf.constant([10.0, 10.0])
self.assertAllClose(softplus(x).eval(),
[10.000045398899218, 10.000045398899218])
x = tf.constant([100.0, 100.0])
self.assertAllEqual(softplus(x).eval(),
[100.0, 100.0])
def test_softplus_0d(self):
with self.test_session():
x = tf.constant(-1e32)
self.assertAllEqual(softplus(x).eval(),
0.0)
x = tf.constant(0.0)
self.assertAllClose(softplus(x).eval(),
0.69314718055994529)
x = tf.constant(1.0)
self.assertAllClose(softplus(x).eval(),
1.3132616875182228)
x = tf.constant(10.0)
self.assertAllClose(softplus(x).eval(),
10.000045398899218)
x = tf.constant(100.0)
self.assertAllEqual(softplus(x).eval(),
100.0)
