tf.contrib.distributions.MultivariateNormalDiagWithSoftplusStDev.get_event_shape() Shape of a single sample from a single batch as a TensorShape. Same meaning as event_shape. May be only partially defined. Returns: event_shape: TensorShape, possibly unknown.

tf.contrib.learn.monitors.LoggingTrainable.set_estimator(estimator) A setter called automatically by the target estimator. If the estimator is locked, this method does nothing. Args: estimator: the estimator that this monitor monitors. Raises: ValueError: if the estimator is None.

tf.TensorArray.write(index, value, name=None) Write value into index index of the TensorArray. Args: index: 0-D. int32 scalar with the index to write to. value: N-D. Tensor of type dtype. The Tensor to write to this index. name: A name for the operation (optional). Returns: A new TensorArray object with flow that ensures the write occurs. Use this object all for subsequent operations. Raises: ValueError: if there are more writers than specified.

void tensorflow::EnvWrapper::SchedClosure(std::function< void()> closure) override

tf.contrib.bayesflow.stochastic_tensor.MultivariateNormalDiagPlusVDVTTensor.value_type

Status tensorflow::Env::GetChildren(const string &dir, std::vector< string > *result) Stores in *result the names of the children of the specified directory. The names are relative to "dir". Original contents of *results are dropped.

tf.contrib.distributions.InverseGamma.pdf(value, name='pdf') Probability density function. Args: value: float or double Tensor. name: The name to give this op. Returns: prob: a Tensor of shape sample_shape(x) + self.batch_shape with values of type self.dtype. Raises: TypeError: if not is_continuous.

tf.contrib.distributions.InverseGammaWithSoftplusAlphaBeta.variance(name='variance') Variance. Additional documentation from InverseGamma: Variance for inverse gamma is defined only for alpha > 2. If self.allow_nan_stats is False, an exception will be raised rather than returning NaN.

tf.contrib.distributions.Bernoulli.pdf(value, name='pdf') Probability density function. Args: value: float or double Tensor. name: The name to give this op. Returns: prob: a Tensor of shape sample_shape(x) + self.batch_shape with values of type self.dtype. Raises: TypeError: if not is_continuous.

tf.contrib.distributions.Bernoulli.entropy(name='entropy') Shanon entropy in nats.