tf.zeta()

tf.zeta(x, q, name=None) Compute the Hurwitz zeta function \(\zeta(x, q)\). The Hurwitz zeta function is defined as: \zeta(x, q) = \sum_{n=0}^{\infty} (q + n)^{-x} Args: x: A Tensor. Must be one of the following types: float32, float64. q: A Tensor. Must have the same type as x. name: A name for the operation (optional). Returns: A Tensor. Has the same type as x.

tf.WholeFileReader.__init__()

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

tf.zeros()

tf.zeros(shape, dtype=tf.float32, name=None) Creates a tensor with all elements set to zero. This operation returns a tensor of type dtype with shape shape and all elements set to zero. For example: tf.zeros([3, 4], int32) ==> [[0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0]] Args: shape: Either a list of integers, or a 1-D Tensor of type int32. dtype: The type of an element in the resulting Tensor. name: A name for the operation (optional). Returns: A Tensor with all elements set to zero.

tf.WholeFileReader.supports_serialize

tf.WholeFileReader.supports_serialize Whether the Reader implementation can serialize its state.

tf.WholeFileReader.serialize_state()

tf.WholeFileReader.serialize_state(name=None) Produce a string tensor that encodes the state of a reader. Not all Readers support being serialized, so this can produce an Unimplemented error. Args: name: A name for the operation (optional). Returns: A string Tensor.

tf.WholeFileReader.read_up_to()

tf.WholeFileReader.read_up_to(queue, num_records, name=None) Returns up to num_records (key, value pairs) 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). It may return less than num_records even before the last batch. Args: queue: A Queue or a mutable string Tensor representing a handle to a Queue, with string work items. num_records: Number of records to read.

tf.WholeFileReader.restore_state()

tf.WholeFileReader.restore_state(state, name=None) Restore a reader to a previously saved state. Not all Readers support being restored, so this can produce an Unimplemented error. Args: state: A string Tensor. Result of a SerializeState of a Reader with matching type. name: A name for the operation (optional). Returns: The created Operation.

tf.WholeFileReader.reset()

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

tf.WholeFileReader.num_work_units_completed()

tf.WholeFileReader.num_work_units_completed(name=None) Returns the number of work units this reader has finished processing. Args: name: A name for the operation (optional). Returns: An int64 Tensor.

tf.WholeFileReader.reader_ref

tf.WholeFileReader.reader_ref Op that implements the reader.