def _message_to_parent(self, index):
# Compute the message, check plates, apply mask and sum over some plates
if index >= len(self.parents):
raise ValueError("Parent index larger than the number of parents")
# Compute the message and mask
(m, mask) = self._get_message_and_mask_to_parent(index)
mask = misc.squeeze(mask)
# Plates in the mask
plates_mask = np.shape(mask)
# The parent we're sending the message to
parent = self.parents[index]
# Plates with respect to the parent
plates_self = self._plates_to_parent(index)
# Plate multiplier of the parent
multiplier_parent = self._plates_multiplier_from_parent(index)
# Check if m is a logpdf function (for black-box variational inference)
if callable(m):
def m_function(*args):
lpdf = m(*args)
# Log pdf only contains plate axes!
plates_m = np.shape(lpdf)
r = (self.broadcasting_multiplier(plates_self,
plates_m,
plates_mask,
parent.plates) *
self.broadcasting_multiplier(self.plates_multiplier,
multiplier_parent))
axes_msg = misc.axes_to_collapse(plates_m, parent.plates)
m[i] = misc.sum_multiply(mask_i, m[i], r,
axis=axes_msg,
keepdims=True)
# Remove leading singular plates if the parent does not have
# those plate axes.
m[i] = misc.squeeze_to_dim(m[i], len(shape_parent))
return m_function
raise NotImplementedError()
# Compact the message to a proper shape
for i in range(len(m)):
# Empty messages are given as None. We can ignore those.
if m[i] is not None:
try:
r = self.broadcasting_multiplier(self.plates_multiplier,
multiplier_parent)
except:
raise ValueError("The plate multipliers are incompatible. "
"This node (%s) has %s and parent[%d] "
"(%s) has %s"
% (self.name,
self.plates_multiplier,
index,
parent.name,
multiplier_parent))
ndim = len(parent.dims[i])
# Source and target shapes
if ndim > 0:
dims = misc.broadcasted_shape(np.shape(m[i])[-ndim:],
parent.dims[i])
from_shape = plates_self + dims
else:
from_shape = plates_self
to_shape = parent.get_shape(i)
# Add variable axes to the mask
mask_i = misc.add_trailing_axes(mask, ndim)
# Apply mask and sum plate axes as necessary (and apply plate
# multiplier)
m[i] = r * misc.sum_multiply_to_plates(m[i], mask_i,
to_plates=to_shape,
from_plates=from_shape,
ndim=0)
return m
def _message_to_parent(self, index):
# Compute the message, check plates, apply mask and sum over some plates
if index >= len(self.parents):
raise ValueError("Parent index larger than the number of parents")
# Compute the message and mask
(m, mask) = self._get_message_and_mask_to_parent(index)
mask = misc.squeeze(mask)
# Plates in the mask
plates_mask = np.shape(mask)
# The parent we're sending the message to
parent = self.parents[index]
# Plates with respect to the parent
plates_self = self._plates_to_parent(index)
# Plate multiplier of the parent
multiplier_parent = self._plates_multiplier_from_parent(index)
# Check if m is a logpdf function (for black-box variational inference)
if callable(m):
def m_function(*args):
lpdf = m(*args)
# Log pdf only contains plate axes!
plates_m = np.shape(lpdf)
r = (self.broadcasting_multiplier(plates_self, plates_m,
plates_mask, parent.plates) *
self.broadcasting_multiplier(self.plates_multiplier,
multiplier_parent))
axes_msg = misc.axes_to_collapse(plates_m, parent.plates)
m[i] = misc.sum_multiply(mask_i,
m[i],
r,
axis=axes_msg,
keepdims=True)
# Remove leading singular plates if the parent does not have
# those plate axes.
m[i] = misc.squeeze_to_dim(m[i], len(shape_parent))
return m_function
raise NotImplementedError()
# Compact the message to a proper shape
for i in range(len(m)):
# Empty messages are given as None. We can ignore those.
if m[i] is not None:
try:
r = self.broadcasting_multiplier(self.plates_multiplier,
multiplier_parent)
except:
raise ValueError("The plate multipliers are incompatible. "
"This node (%s) has %s and parent[%d] "
"(%s) has %s" %
(self.name, self.plates_multiplier, index,
parent.name, multiplier_parent))
ndim = len(parent.dims[i])
# Source and target shapes
if ndim > 0:
dims = misc.broadcasted_shape(
np.shape(m[i])[-ndim:], parent.dims[i])
from_shape = plates_self + dims
else:
from_shape = plates_self
to_shape = parent.get_shape(i)
# Add variable axes to the mask
mask_i = misc.add_trailing_axes(mask, ndim)
# Apply mask and sum plate axes as necessary (and apply plate
# multiplier)
m[i] = r * misc.sum_multiply_to_plates(m[i],
mask_i,
to_plates=to_shape,
from_plates=from_shape,
ndim=0)
return m