Returns the list of global variables created by the Template.

Looks up "name". Args: name: a string specifying the registry key for the candidate. Returns: Registered object if found Rais

Returns a shape based on `self` with at least the given rank. Args: rank: An integer. Returns: A shape that is at least as speci

Apply gradients to variables. This is the second part of `minimize()`. It returns an `Operation` that applies gradients. Args: gra

\brief Returns SQLite result code state. This will be SQLITE_OK unless an error happened. If multiple errors happened, only the first error code will

xla::int64 is not the same type as tensorflow::protobuf_int64 in open-source. Wrapper function that gives an int64 array slice view of a repeated int6

Apply a transformation function to this dataset. `apply` enables chaining of custom `Dataset` transformations, which are represented as funct

Yields predictions for given features. Args: input_fn: Input function returning features which is a dictionary of string feature na

in-place HEAPSORT in Cormen This method destroys the heap property.

Starts this server. Raises: tf.errors.OpError: Or one of its subclasses if an error occurs while starting the TensorFlow server.

Return true iff "x" is a prefix of "*this"

Updates the progress bar. Arguments: current: Index of current step. values: List of tuples (name, value_for_last_step).

Run the UI until user- or command- triggered exit. Args: init_command: (str) Optional command to run on CLI start up. title: (str) Op

Returns the size, in bytes, for the backing memory.

Default constructor creates an empty example.

Returns `EstimatorSpec` that a model_fn can return. Please note that, + All args must be passed via name. Args: features: Input `d

Removes the registered function corresponding to `token`.

Restores previously saved variables. This method runs the ops added by the constructor for restoring variables. It requires a session in whic

An op which returns the number of MPI processes. This is equivalent to running `MPI_Comm_size(MPI_COMM_WORLD, ...)` to get the size of the global

Get the tensor value from for a debug-dumped tensor. The tensor may be dumped multiple times in the dump root directory, so a list of tensors

Maps `map_func` across this datset. Args: map_func: A function mapping a nested structure of tensors (having shapes and types defin

Trains the model for a fixed number of epochs. Arguments: x: input data, as a Numpy array or list of Numpy arrays (if the mod

Return a unique operation name for `name`. Note: You rarely need to call `unique_name()` directly. Most of the time you just need to create

Return the hyperparameter values as a Python dictionary. Returns: A dictionary with hyperparameter names as keys. The values are the

static */

Returns the InferenceContext for 'node', if present.

Configures the model for training. Arguments: optimizer: String (name of optimizer) or optimizer object. See [optimizers](/op

Find dumped tensor data by a certain predicate. Args: predicate: A callable that takes two input arguments: ```python def

Creates a `Dataset` whose elements are slices of the given tensors. Args: tensors: A nested structure of tensors, each having the same size

Returns True if the `other` DType will be converted to this DType. The conversion rules are as follows: ```python DType(T) .is_com

Generate samples of the specified shape. Note that a call to `sample()` without arguments will generate a single sample. Args: sam

Updates the shape of this tensor. This method can be called multiple times, and will merge the given `shape` with the current shape of this t

Summary of the accumulated runtime stats.

Generates a SparseTensor. Args: data: Should be a list of list of strings or int64. Each item of the outer list represents a batc

Generates a SparseTensor. Args: data: Should be a list of list of strings or int64. Each item of the outer list represents a batc