tensorflow::Env::Stat()

Status tensorflow::Env::Stat(const string &fname, FileStatistics *stat) Obtains statistics for the given path.

tf.contrib.bayesflow.stochastic_tensor.ObservedStochasticTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.ObservedStochasticTensor.dtype

tensorflow::TensorShape::IsSameSize()

bool tensorflow::TensorShape::IsSameSize(const TensorShape &b) const Returns true if *this and b have the same sizes. Ignores dimension names.

tf.contrib.graph_editor.filter_ts_from_regex()

tf.contrib.graph_editor.filter_ts_from_regex(ops, regex) Get all the tensors linked to ops that match the given regex. Args: ops: an object convertible to a list of tf.Operation. regex: a regular expression matching the tensors' name. For example, "^foo(/.*)?:\d+$" will match all the tensors in the "foo" scope. Returns: A list of tf.Tensor. Raises: TypeError: if ops cannot be converted to a list of tf.Operation.

tf.contrib.learn.TensorFlowEstimator.save()

tf.contrib.learn.TensorFlowEstimator.save(path) Saves checkpoints and graph to given path. Args: path: Folder to save model to.

tf.contrib.learn.TensorFlowEstimator.get_variable_value()

tf.contrib.learn.TensorFlowEstimator.get_variable_value(name) Returns value of the variable given by name. Args: name: string, name of the tensor. Returns: Numpy array - value of the tensor.

tf.contrib.distributions.Chi2.is_continuous

tf.contrib.distributions.Chi2.is_continuous

tensorflow::TensorShape::IsValidShape()

Status tensorflow::TensorShape::IsValidShape(const TensorShapeProto &proto) Returns OK iff proto is a valid tensor shape, and a descriptive error status otherwise.

tf.contrib.bayesflow.stochastic_tensor.SampleValue.n

tf.contrib.bayesflow.stochastic_tensor.SampleValue.n

tf.contrib.bayesflow.stochastic_tensor.MeanValue.pushed_above()

tf.contrib.bayesflow.stochastic_tensor.MeanValue.pushed_above(unused_value_type)