def test_ops(self):
x = K.variable(np.random.rand(8, 12))
y = K.variable(np.random.rand(12, 25))
z = K.placeholder((25, 18, 13))
w = K.placeholder((18, 18))
# ====== dot ====== #
t = K.dot(x, y)
self.assertEquals(K.get_shape(t), (8, 25))
self.assertEquals(K.get_shape(t), K.eval(t).shape)
t = K.dot(t, K.dimshuffle(z, (1, 0, 2)))
self.assertEquals(K.get_shape(t), (8, 18, 13))
# ====== transpose ====== #
self.assertEquals(K.get_shape(K.transpose(z)), (13, 18, 25))
self.assertEquals(K.get_shape(K.transpose(t, axes=(2, 0, 1))),
(13, 8, 18))
# ====== eye ====== #
self.assertEquals(K.get_shape(K.eye(5)), K.eval(K.eye(5)).shape)
# ====== diag ====== #
self.assertEquals(K.get_shape(K.diag(w)), (18, ))
# self.assertEquals(K.get_shape(K.diag(x)),
# K.eval(K.diag(y)).shape)
self.assertEquals(K.get_shape(K.square(x)), K.eval(K.square(x)).shape)
self.assertEquals(K.get_shape(K.abs(x)), K.eval(K.abs(x)).shape)
self.assertEquals(K.get_shape(K.sqrt(x)), K.eval(K.sqrt(x)).shape)
self.assertEquals(K.get_shape(K.exp(x)), K.eval(K.exp(x)).shape)
self.assertEquals(K.get_shape(K.log(x)), K.eval(K.log(x)).shape)
self.assertEquals(K.get_shape(K.round(x)), K.eval(K.round(x)).shape)
self.assertEquals(K.get_shape(K.pow(x, 2)), K.eval(K.pow(x, 2)).shape)
self.assertEquals(K.get_shape(K.clip(x, -1, 1)),
K.eval(K.clip(x, -1, 1)).shape)
self.assertEquals(K.get_shape(K.inv(x)), K.eval(K.inv(x)).shape)
def test_basic_ops_value(self):
np.random.seed(12082518)
x = K.variable(np.random.randn(8, 8))
y = K.variable(np.random.randn(8, 8))
z = K.variable(np.random.randint(0, 2, size=(8, 8)), dtype=np.bool)
w = K.variable(np.random.randint(0, 2, size=(8, 8)), dtype=np.bool)
self.assertEqual(round(np.sum(K.eval(K.relu(x, alpha=0.12))) * 10000),
276733)
self.assertEqual(round(np.sum(K.eval(K.elu(x, alpha=0.12))) * 10000),
289202)
self.assertEqual(np.sum(K.eval(K.softmax(x))), 8.0)
self.assertEqual(round(np.sum(K.eval(K.softplus(x))) * 10000), 554564)
self.assertEqual(round(np.sum(K.eval(K.softsign(x))) * 100000), 211582)
self.assertEqual(round(np.sum(K.eval(K.sigmoid(x))) * 10000), 330427)
self.assertEqual(round(np.sum(K.eval(K.hard_sigmoid(x))) * 10000),
330836)
self.assertEqual(round(np.sum(K.eval(K.tanh(x))) * 100000), 290165)
self.assertEqual(round(np.sum(K.eval(K.square(x))) * 10000), 744492)
self.assertEqual(round(np.sum(K.eval(K.sqrt(x))) * 10000), 300212)
self.assertEqual(round(np.sum(K.eval(K.abs(x))) * 10000), 559979)
self.assertEqual(np.sum(K.eval(K.sign(x))), 6.0)
self.assertEqual(round(np.sum(K.eval(K.inv(x))) * 1000), 495838)
self.assertEqual(round(np.sum(K.eval(K.exp(x))) * 1000), 122062)
self.assertEqual(round(np.sum(K.eval(K.log(K.abs(x)))) * 10000),
-344491)
self.assertEqual(np.sum(K.eval(K.round(x))), 5.0)
self.assertEqual(round(np.sum(K.eval(K.pow(x, 8))) * 100), 398153)
self.assertEqual(
round(np.sum(K.eval(K.clip(x, -0.12, 0.12))) * 1000000), 620529)
# TODO: pygpu (libgpuarray) still not support diag
# self.assertEqual(round(np.sum(K.eval(K.diag(x))) * 100000), 325289)
self.assertEqual(np.sum(K.eval(K.eye(12, 8))), 8.0)
self.assertEqual(np.sum(K.eval(K.eq(z, w))), 38)
self.assertEqual(np.sum(K.eval(K.neq(z, w))), 26)
self.assertEqual(np.sum(K.eval(K.gt(x, y))), 33)
self.assertEqual(np.sum(K.eval(K.ge(x, y))), 33)
self.assertEqual(np.sum(K.eval(K.lt(x, y))), 31)
self.assertEqual(np.sum(K.eval(K.le(x, y))), 31)
self.assertEqual(round(np.sum(K.eval(K.switch(z, x, y))) * 100000),
139884)
def doit(_, x, y, z):
z += K.sum(x + y) + K.sum(K.pow(_, 2))
return z
def doit(_, x, y, z):
z += K.sum(x + y) + K.sum(K.pow(_, 2))
return z