def test_layer_output_batched2(self):
odim = 2
input_dim = 2
batch = 2
sess = K.get_session()
layer = FuzzyLayer(odim)
layer.build(input_shape=(batch, input_dim))
x = K.placeholder(shape=(batch, input_dim))
c = K.placeholder(shape=(input_dim, odim))
a = K.placeholder(shape=(input_dim, odim))
layer.c = c
layer.a = a
xc = layer.call(x)
xx = [[0.5, 0.8], [0.8, 0.5]]
cc = [[1, 0.2], [0.8, 0]]
aa = [[1 / 2, 1 / 4], [1, 1 / 8]]
vals = sess.run(xc, feed_dict={x: xx, c: cc, a: aa})
self.assertEqual(len(vals), batch)
self.assertEqual(len(vals[0]), odim)
self.assertAlmostEqual(vals[0][0], 0.7788007831, 7)
self.assertAlmostEqual(vals[0][1], 0.00002491600973, 7)
self.assertAlmostEqual(vals[1][0], 0.9394130628, 7)
self.assertAlmostEqual(vals[1][1], 0.004339483271, 7)
def test_layer_output_batched(self):
odim = 2
input_dim = 2
batch = 3
sess = K.get_session()
layer = FuzzyLayer(odim)
layer.build(input_shape=(batch, input_dim))
x = K.placeholder(shape=(batch, input_dim))
c = K.placeholder(shape=(input_dim, odim))
a = K.placeholder(shape=(input_dim, odim))
layer.c = c
layer.a = a
xc = layer.call(x)
xx = [[1, 1], [0, 0], [0.5, 0.5]]
cc = [[1, 0], [1, 0]]
aa = [[1 / 10, 1 / 10], [1 / 10, 1 / 10]]
vals = sess.run(xc, feed_dict={x: xx, c: cc, a: aa})
self.assertEqual(len(vals), batch)
self.assertEqual(len(vals[0]), odim)
self.assertAlmostEqual(vals[0][0], 1, 7)
self.assertAlmostEqual(vals[0][1], 0, 7)
self.assertAlmostEqual(vals[1][0], 0, 7)
self.assertAlmostEqual(vals[1][1], 1, 7)
self.assertAlmostEqual(vals[2][0], 0.000003726653172, 7)
self.assertAlmostEqual(vals[2][1], 0.000003726653172, 7)
def test_layer_output_batched_and_context(self):
input_dim = 1
context = 2
batch = 3
odim = 4
sess = K.get_session()
layer = FuzzyLayer(odim)
layer.build(input_shape=(batch, context, input_dim))
x = K.placeholder(shape=(batch, context, input_dim))
c = K.placeholder(shape=(input_dim, odim))
a = K.placeholder(shape=(input_dim, odim))
layer.c = c
layer.a = a
xc = layer.call(x)
xx = [[[0.5], [0.8]], [[0.8], [0.6]], [[0.6], [0.4]]]
cc = [[1, 0.8, 0.6, 0.4]]
aa = [[1, 1, 1, 1]]
vals = sess.run(xc, feed_dict={x: xx, c: cc, a: aa})
self.assertEqual(len(vals), batch)
self.assertEqual(len(vals[0]), context)
self.assertEqual(len(vals[0][0]), odim)
def test_layer_output_single2(self):
odim = 2
input_dim = 2
batch = 1
sess = K.get_session()
layer = FuzzyLayer(odim)
layer.build(input_shape=(batch, input_dim))
x = K.placeholder(shape=(batch, input_dim))
c = K.placeholder(shape=(input_dim, odim))
a = K.placeholder(shape=(input_dim, odim))
layer.c = c
layer.a = a
xc = layer.call(x)
xx = [[0.5, 0.5]]
cc = [[1, 0], [1, 0]]
aa = [[1 / 2, 1 / 2], [1 / 2, 1 / 2]]
vals = sess.run(xc, feed_dict={x: xx, c: cc, a: aa})
self.assertEqual(len(vals), batch)
self.assertEqual(len(vals[0]), odim)
self.assertAlmostEqual(vals[0][0], 0.6065306597, 7)
self.assertAlmostEqual(vals[0][1], 0.6065306597, 7)