class tf.contrib.bayesflow.stochastic_tensor.BaseStochasticTensor
Defined in tensorflow/contrib/bayesflow/python/ops/stochastic_tensor_impl.py.
See the guide: BayesFlow Stochastic Tensors (contrib) > Stochastic Tensor Classes
Base Class for Tensor-like objects that emit stochastic values.
Properties
dtype
graph
name
Methods
__init__
__init__()
loss
loss(sample_loss)
Returns the term to add to the surrogate loss.
This method is called by surrogate_loss. The input sample_loss should
have already had stop_gradient applied to it. This is because the
surrogate_loss usually provides a Monte Carlo sample term of the form
differentiable_surrogate * sample_loss where sample_loss is considered
constant with respect to the input for purposes of the gradient.
Args:
sample_loss:Tensor, sample loss downstream of thisStochasticTensor.
Returns:
Either None or a Tensor.
value
value(name=None)