def test___init__(self):
sys.stdout.write(
'StackOfBipartiteGraphs -> Performing initialzation and property test ...'
)
sys.stdout.flush()
# Check init scalar
number_visibles1 = 2
number_hiddens1 = 4
number_visibles2 = 4
number_hiddens2 = 3
number_visibles3 = 3
number_hiddens3 = 2
numx.random.seed(42)
model1 = BipartiteGraph(number_visibles=number_visibles1,
number_hiddens=number_hiddens1,
data=None,
initial_weights=1,
initial_visible_bias=1,
initial_hidden_bias=1,
initial_visible_offsets=0,
initial_hidden_offsets=0,
dtype=numx.float64)
model2 = BipartiteGraph(number_visibles=number_visibles2,
number_hiddens=number_hiddens2,
data=None,
initial_weights=2,
initial_visible_bias=2,
initial_hidden_bias=2,
initial_visible_offsets=0,
initial_hidden_offsets=0,
dtype=numx.float64)
model3 = BipartiteGraph(number_visibles=number_visibles3,
number_hiddens=number_hiddens3,
data=None,
initial_weights=3,
initial_visible_bias=3,
initial_hidden_bias=3,
initial_visible_offsets=0,
initial_hidden_offsets=0,
dtype=numx.float64)
stack = StackOfBipartiteGraphs([model1, model2, model3])
assert numx.all(stack.input_dim == number_visibles1)
assert numx.all(stack.output_dim == number_hiddens3)
assert numx.all(stack.num_layers == 3)
assert numx.all(stack.depth == 4)
assert numx.all(stack[1].dtype == numx.float64)
print(' successfully passed!')
sys.stdout.flush()
def test_forward_backward_reconstruct(self):
sys.stdout.write(
'StackOfBipartiteGraphs -> Performing forward, backward, and reconstruct test ...'
)
sys.stdout.flush()
# Check init scalar
number_visibles1 = 2
number_hiddens1 = 4
number_visibles2 = 4
number_hiddens2 = 3
number_visibles3 = 3
number_hiddens3 = 2
numx.random.seed(42)
model1 = BipartiteGraph(number_visibles=number_visibles1,
number_hiddens=number_hiddens1,
data=None,
initial_weights=1,
initial_visible_bias=1,
initial_hidden_bias=1,
initial_visible_offsets=0,
initial_hidden_offsets=0,
dtype=numx.float64)
model2 = BipartiteGraph(number_visibles=number_visibles2,
number_hiddens=number_hiddens2,
data=None,
initial_weights=2,
initial_visible_bias=2,
initial_hidden_bias=2,
initial_visible_offsets=0,
initial_hidden_offsets=0,
dtype=numx.float64)
model3 = BipartiteGraph(number_visibles=number_visibles3,
number_hiddens=number_hiddens3,
data=None,
initial_weights=3,
initial_visible_bias=3,
initial_hidden_bias=3,
initial_visible_offsets=0,
initial_hidden_offsets=0,
dtype=numx.float64)
stack = StackOfBipartiteGraphs([model1, model2, model3])
forward_target = numx.array([[0.97356463, 0.64265444],
[0.974248, 0.64951497]])
backward_target = numx.array([[0.89076868, 0.78815199],
[0.93154994, 0.82386556]])
rec_target = numx.array([[0.85960142, 0.74341554],
[0.86000094, 0.74392953]])
assert numx.sum(
numx.abs(
stack.forward_propagate(numx.array([[1, 2], [3, 4]])) -
forward_target) < 0.000001)
assert numx.sum(
numx.abs(
stack.backward_propagate(numx.array([[1, 2], [3, 4]])) -
backward_target) < 0.000001)
assert numx.sum(
numx.abs(
stack.backward_propagate(
stack.forward_propagate(numx.array([[1, 2], [3, 4]]))) -
rec_target) < 0.000001)
assert numx.sum(
numx.abs(
stack.reconstruct(numx.array([[1, 2], [3, 4]])) -
rec_target) < 0.000001)
print(' successfully passed!')
sys.stdout.flush()
def test_append_pop(self):
sys.stdout.write(
'StackOfBipartiteGraphs -> Performing pop and append test ...')
sys.stdout.flush()
# Check init scalar
number_visibles1 = 2
number_hiddens1 = 4
number_visibles2 = 4
number_hiddens2 = 3
number_visibles3 = 3
number_hiddens3 = 2
numx.random.seed(42)
model1 = BipartiteGraph(number_visibles=number_visibles1,
number_hiddens=number_hiddens1,
data=None,
initial_weights=1,
initial_visible_bias=1,
initial_hidden_bias=1,
initial_visible_offsets=0,
initial_hidden_offsets=0,
dtype=numx.float64)
model2 = BipartiteGraph(number_visibles=number_visibles2,
number_hiddens=number_hiddens2,
data=None,
initial_weights=2,
initial_visible_bias=2,
initial_hidden_bias=2,
initial_visible_offsets=0,
initial_hidden_offsets=0,
dtype=numx.float64)
model3 = BipartiteGraph(number_visibles=number_visibles3,
number_hiddens=number_hiddens3,
data=None,
initial_weights=3,
initial_visible_bias=3,
initial_hidden_bias=3,
initial_visible_offsets=0,
initial_hidden_offsets=0,
dtype=numx.float64)
stack = StackOfBipartiteGraphs([model1, model2])
assert numx.all(stack.input_dim == number_visibles1)
assert numx.all(stack.output_dim == number_hiddens2)
assert numx.all(stack.num_layers == 2)
assert numx.all(stack.depth == 3)
stack.append_layer(model3)
assert numx.all(stack.input_dim == number_visibles1)
assert numx.all(stack.output_dim == number_hiddens3)
assert numx.all(stack.num_layers == 3)
assert numx.all(stack.depth == 4)
assert numx.all(stack[1].dtype == numx.float64)
model2_new = BipartiteGraph(number_visibles=number_visibles2,
number_hiddens=number_hiddens2,
data=None,
initial_weights=2,
initial_visible_bias=2,
initial_hidden_bias=2,
initial_visible_offsets=0,
initial_hidden_offsets=0,
dtype=numx.int32)
stack[1] = model2_new
assert numx.all(stack[1].dtype == numx.int32)
stack.pop_last_layer()
assert numx.all(stack.input_dim == number_visibles1)
assert numx.all(stack.output_dim == number_hiddens2)
assert numx.all(stack.num_layers == 2)
assert numx.all(stack.depth == 3)
stack.append_layer(model3)
assert numx.all(stack.depth == 4)
assert numx.all(stack.output_dim == number_hiddens3)
stack.pop_last_layer()
assert numx.all(stack.input_dim == number_visibles1)
assert numx.all(stack.output_dim == number_hiddens2)
assert numx.all(stack.num_layers == 2)
assert numx.all(stack.depth == 3)
stack.pop_last_layer()
assert numx.all(stack.input_dim == number_visibles1)
assert numx.all(stack.output_dim == number_hiddens1)
assert numx.all(stack.num_layers == 1)
assert numx.all(stack.depth == 2)
stack.pop_last_layer()
assert numx.all(stack.input_dim == None)
assert numx.all(stack.output_dim == None)
assert numx.all(stack.num_layers == 0)
assert numx.all(stack.depth == 1)
stack.pop_last_layer()
assert numx.all(stack.input_dim == None)
assert numx.all(stack.output_dim == None)
assert numx.all(stack.num_layers == 0)
assert numx.all(stack.depth == 1)
print(' successfully passed!')
sys.stdout.flush()