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################################################################################
# Copyright (C) 2015 Jaakko Luttinen
#
# This file is licensed under the MIT License.
################################################################################
"""
Unit tests for `concatenate` module.
"""
import warnings
import numpy as np
from bayespy.nodes import (Concatenate,
GaussianARD,
Gamma)
from bayespy.utils import random
from bayespy.utils.misc import TestCase
class TestConcatenate(TestCase):
"""
Unit tests for Concatenate node.
"""
def test_init(self):
"""
Test the creation of Concatenate node
"""
# One parent only
X = GaussianARD(0, 1, plates=(3,), shape=())
Y = Concatenate(X)
self.assertEqual(Y.plates, (3,))
self.assertEqual(Y.dims, ( (), () ))
X = GaussianARD(0, 1, plates=(3,), shape=(2,4))
Y = Concatenate(X)
self.assertEqual(Y.plates, (3,))
self.assertEqual(Y.dims, ( (2,4), (2,4,2,4) ))
# Two parents
X1 = GaussianARD(0, 1, plates=(2,), shape=())
X2 = GaussianARD(0, 1, plates=(3,), shape=())
Y = Concatenate(X1, X2)
self.assertEqual(Y.plates, (5,))
self.assertEqual(Y.dims, ( (), () ))
# Two parents with shapes
X1 = GaussianARD(0, 1, plates=(2,), shape=(4,6))
X2 = GaussianARD(0, 1, plates=(3,), shape=(4,6))
Y = Concatenate(X1, X2)
self.assertEqual(Y.plates, (5,))
self.assertEqual(Y.dims, ( (4,6), (4,6,4,6) ))
# Two parents with non-default axis
X1 = GaussianARD(0, 1, plates=(2,4), shape=())
X2 = GaussianARD(0, 1, plates=(3,4), shape=())
Y = Concatenate(X1, X2, axis=-2)
self.assertEqual(Y.plates, (5,4))
self.assertEqual(Y.dims, ( (), () ))
# Three parents
X1 = GaussianARD(0, 1, plates=(2,), shape=())
X2 = GaussianARD(0, 1, plates=(3,), shape=())
X3 = GaussianARD(0, 1, plates=(4,), shape=())
Y = Concatenate(X1, X2, X3)
self.assertEqual(Y.plates, (9,))
self.assertEqual(Y.dims, ( (), () ))
# Constant parent
X1 = [7.2, 3.5]
X2 = GaussianARD(0, 1, plates=(3,), shape=())
Y = Concatenate(X1, X2)
self.assertEqual(Y.plates, (5,))
self.assertEqual(Y.dims, ( (), () ))
# Different moments
X1 = GaussianARD(0, 1, plates=(3,))
X2 = Gamma(1, 1, plates=(4,))
self.assertRaises(ValueError,
Concatenate,
X1,
X2)
# Incompatible shapes
X1 = GaussianARD(0, 1, plates=(3,), shape=(2,))
X2 = GaussianARD(0, 1, plates=(2,), shape=())
self.assertRaises(ValueError,
Concatenate,
X1,
X2)
# Incompatible plates
X1 = GaussianARD(0, 1, plates=(4,3), shape=())
X2 = GaussianARD(0, 1, plates=(5,2,), shape=())
self.assertRaises(ValueError,
Concatenate,
X1,
X2)
pass
def test_message_to_child(self):
"""
Test the message to child of Concatenate node.
"""
var = lambda plates, shape: GaussianARD(
np.random.randn(*(plates + shape)),
np.random.rand(*(plates + shape)),
plates=plates,
shape=shape
)
# Two parents without shapes
X1 = var((2,), ())
X2 = var((3,), ())
Y = Concatenate(X1, X2)
u1 = X1.get_moments()
u2 = X2.get_moments()
u = Y.get_moments()
self.assertAllClose((u[0]*np.ones((5,)))[:2],
u1[0]*np.ones((2,)))
self.assertAllClose((u[1]*np.ones((5,)))[:2],
u1[1]*np.ones((2,)))
self.assertAllClose((u[0]*np.ones((5,)))[2:],
u2[0]*np.ones((3,)))
self.assertAllClose((u[1]*np.ones((5,)))[2:],
u2[1]*np.ones((3,)))
# Two parents with shapes
X1 = var((2,), (4,))
X2 = var((3,), (4,))
Y = Concatenate(X1, X2)
u1 = X1.get_moments()
u2 = X2.get_moments()
u = Y.get_moments()
self.assertAllClose((u[0]*np.ones((5,4)))[:2],
u1[0]*np.ones((2,4)))
self.assertAllClose((u[1]*np.ones((5,4,4)))[:2],
u1[1]*np.ones((2,4,4)))
self.assertAllClose((u[0]*np.ones((5,4)))[2:],
u2[0]*np.ones((3,4)))
self.assertAllClose((u[1]*np.ones((5,4,4)))[2:],
u2[1]*np.ones((3,4,4)))
# Test with non-constant axis
X1 = GaussianARD(0, 1, plates=(2,4), shape=())
X2 = GaussianARD(0, 1, plates=(3,4), shape=())
Y = Concatenate(X1, X2, axis=-2)
u1 = X1.get_moments()
u2 = X2.get_moments()
u = Y.get_moments()
self.assertAllClose((u[0]*np.ones((5,4)))[:2],
u1[0]*np.ones((2,4)))
self.assertAllClose((u[1]*np.ones((5,4)))[:2],
u1[1]*np.ones((2,4)))
self.assertAllClose((u[0]*np.ones((5,4)))[2:],
u2[0]*np.ones((3,4)))
self.assertAllClose((u[1]*np.ones((5,4)))[2:],
u2[1]*np.ones((3,4)))
# Test with constant parent
X1 = np.random.randn(2, 4)
X2 = GaussianARD(0, 1, plates=(3,), shape=(4,))
Y = Concatenate(X1, X2)
u1 = Y.parents[0].get_moments()
u2 = X2.get_moments()
u = Y.get_moments()
self.assertAllClose((u[0]*np.ones((5,4)))[:2],
u1[0]*np.ones((2,4)))
self.assertAllClose((u[1]*np.ones((5,4,4)))[:2],
u1[1]*np.ones((2,4,4)))
self.assertAllClose((u[0]*np.ones((5,4)))[2:],
u2[0]*np.ones((3,4)))
self.assertAllClose((u[1]*np.ones((5,4,4)))[2:],
u2[1]*np.ones((3,4,4)))
pass
def test_message_to_parent(self):
"""
Test the message to parents of Concatenate node.
"""
# Two parents without shapes
X1 = GaussianARD(0, 1, plates=(2,), shape=())
X2 = GaussianARD(0, 1, plates=(3,), shape=())
Z = Concatenate(X1, X2)
Y = GaussianARD(Z, 1)
Y.observe(np.random.randn(*Y.get_shape(0)))
m1 = X1._message_from_children()
m2 = X2._message_from_children()
m = Z._message_from_children()
self.assertAllClose((m[0]*np.ones((5,)))[:2],
m1[0]*np.ones((2,)))
self.assertAllClose((m[1]*np.ones((5,)))[:2],
m1[1]*np.ones((2,)))
self.assertAllClose((m[0]*np.ones((5,)))[2:],
m2[0]*np.ones((3,)))
self.assertAllClose((m[1]*np.ones((5,)))[2:],
m2[1]*np.ones((3,)))
# Two parents with shapes
with warnings.catch_warnings():
warnings.simplefilter("ignore", FutureWarning)
X1 = GaussianARD(0, 1, plates=(2,), shape=(4,6))
X2 = GaussianARD(0, 1, plates=(3,), shape=(4,6))
Z = Concatenate(X1, X2)
Y = GaussianARD(Z, 1)
Y.observe(np.random.randn(*Y.get_shape(0)))
m1 = X1._message_from_children()
m2 = X2._message_from_children()
m = Z._message_from_children()
self.assertAllClose((m[0]*np.ones((5,4,6)))[:2],
m1[0]*np.ones((2,4,6)))
self.assertAllClose((m[1]*np.ones((5,4,6,4,6)))[:2],
m1[1]*np.ones((2,4,6,4,6)))
self.assertAllClose((m[0]*np.ones((5,4,6)))[2:],
m2[0]*np.ones((3,4,6)))
self.assertAllClose((m[1]*np.ones((5,4,6,4,6)))[2:],
m2[1]*np.ones((3,4,6,4,6)))
# Two parents with non-default concatenation axis
X1 = GaussianARD(0, 1, plates=(2,4), shape=())
X2 = GaussianARD(0, 1, plates=(3,4), shape=())
Z = Concatenate(X1, X2, axis=-2)
Y = GaussianARD(Z, 1)
Y.observe(np.random.randn(*Y.get_shape(0)))
m1 = X1._message_from_children()
m2 = X2._message_from_children()
m = Z._message_from_children()
self.assertAllClose((m[0]*np.ones((5,4)))[:2],
m1[0]*np.ones((2,4)))
self.assertAllClose((m[1]*np.ones((5,4)))[:2],
m1[1]*np.ones((2,4)))
self.assertAllClose((m[0]*np.ones((5,4)))[2:],
m2[0]*np.ones((3,4)))
self.assertAllClose((m[1]*np.ones((5,4)))[2:],
m2[1]*np.ones((3,4)))
# Constant parent
X1 = np.random.randn(2,4,6)
X2 = GaussianARD(0, 1, plates=(3,), shape=(4,6))
Z = Concatenate(X1, X2)
Y = GaussianARD(Z, 1)
Y.observe(np.random.randn(*Y.get_shape(0)))
m1 = Z._message_to_parent(0)
m2 = X2._message_from_children()
m = Z._message_from_children()
self.assertAllClose((m[0]*np.ones((5,4,6)))[:2],
m1[0]*np.ones((2,4,6)))
self.assertAllClose((m[1]*np.ones((5,4,6,4,6)))[:2],
m1[1]*np.ones((2,4,6,4,6)))
self.assertAllClose((m[0]*np.ones((5,4,6)))[2:],
m2[0]*np.ones((3,4,6)))
self.assertAllClose((m[1]*np.ones((5,4,6,4,6)))[2:],
m2[1]*np.ones((3,4,6,4,6)))
pass
def test_mask_to_parent(self):
"""
Test the mask handling in Concatenate node
"""
pass
|
