tf.contrib.bayesflow.stochastic_tensor.WishartFullTensor.dtype

tf.contrib.bayesflow.stochastic_tensor.WishartFullTensor.dtype

tf.IdentityReader.read()

tf.IdentityReader.read(queue, name=None) Returns the next record (key, value pair) produced by a reader. Will dequeue a work unit from queue if necessary (e.g. when the Reader needs to start reading from a new file since it has finished with the previous file). Args: queue: A Queue or a mutable string Tensor representing a handle to a Queue, with string work items. name: A name for the operation (optional). Returns: A tuple of Tensors (key, value). key: A string scalar Tensor. value: A s

tf.IdentityReader.__init__()

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

tf.contrib.learn.monitors.EveryN.every_n_step_begin()

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.contrib.distributions.LaplaceWithSoftplusScale.mean()

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

tensorflow::Env::IsDirectory()

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.

tensorflow::Tensor::matrix()

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

tf.contrib.bayesflow.stochastic_tensor.BetaTensor

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

tf.contrib.learn.monitors.NanLoss.run_on_all_workers

tf.contrib.learn.monitors.NanLoss.run_on_all_workers

tf.contrib.bayesflow.stochastic_tensor.Chi2WithAbsDfTensor.input_dict

tf.contrib.bayesflow.stochastic_tensor.Chi2WithAbsDfTensor.input_dict