tf.pow(x, y, name=None) Computes the power of one value to another. Given a tensor x

class tf.contrib.learn.monitors.CaptureVariable Captures a variable's values into a collection. This

tf.contrib.distributions.NormalWithSoftplusSigma.get_event_shape() Shape of a single sample from a single batch as a TensorShape

tf.contrib.distributions.Laplace.__init__(loc, scale, validate_args=False, allow_nan_stats=True, name='Laplace') Construct Laplace

class tf.TensorArray Class wrapping dynamic-sized, per-time-step, write-once Tensor arrays. This

tf.truediv(x, y, name=None) Divides x / y elementwise, always producing floating point results. The

tf.contrib.distributions.Normal.survival_function(value, name='survival_function') Survival function. Given

tf.contrib.losses.get_losses(scope=None, loss_collection='losses') Gets the list of losses from the loss_collection.

bool tensorflow::Tensor::SharesBufferWith(const Tensor &b) const

void tensorflow::Status::operator=(const Status &s)