tf.contrib.framework.with_shape(expected_shape, tensor) Asserts tensor has expected shape. If

tf.contrib.metrics.streaming_precision(*args, **kwargs) Computes the precision of the predictions with respect to the labels.

size_t tensorflow::Tensor::BufferHash() const

tf.contrib.bayesflow.stochastic_tensor.LaplaceTensor.clone(name=None, **dist_args)

tf.contrib.learn.TensorFlowRNNClassifier.__repr__()

tf.contrib.learn.monitors.ExportMonitor.step_end(step, output) Overrides BaseMonitor.step_end. When

tf.contrib.bayesflow.stochastic_tensor.PoissonTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.BaseStochasticTensor.name

tf.contrib.framework.assign_from_values_fn(var_names_to_values) Returns a function that assigns specific variables from the given

tf.image.per_image_whitening(image) Linearly scales image to have zero mean and unit norm. This