tf.contrib.learn.monitors.PrintTensor.begin(max_steps=None) Called at the beginning of training. When called, the default graph is the one we are executing. Args: max_steps: int, the maximum global step this training will run until. Raises: ValueError: if we've already begun a run.

tf.ReaderBase.__init__(reader_ref, supports_serialize=False) Creates a new ReaderBase. Args: reader_ref: The operation that implements the reader. supports_serialize: True if the reader implementation can serialize its state.

tf.ReaderBase.reset(name=None) Restore a reader to its initial clean state. Args: name: A name for the operation (optional). Returns: The created Operation.

tf.contrib.learn.monitors.NanLoss.run_on_all_workers

class tf.contrib.bayesflow.stochastic_tensor.BetaTensor BetaTensor is a StochasticTensor backed by the distribution Beta.

TTypes<T>::ConstMatrix tensorflow::Tensor::matrix() const

Status tensorflow::Env::IsDirectory(const string &fname) Returns whether the given path is a directory or not. Typical return codes (not guaranteed exhaustive): OK - The path exists and is a directory. FAILED_PRECONDITION - The path exists and is not a directory. NOT_FOUND - The path entry does not exist. PERMISSION_DENIED - Insufficient permissions. UNIMPLEMENTED - The file factory doesn't support directories.

tf.contrib.distributions.LaplaceWithSoftplusScale.mean(name='mean') Mean.

tf.contrib.learn.monitors.EveryN.every_n_step_begin(step) Callback before every n'th step begins. Args: step: int, the current value of the global step. Returns: A list of tensors that will be evaluated at this step.

tf.IdentityReader.__init__(name=None) Create a IdentityReader. Args: name: A name for the operation (optional).