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