Returns the object referred to by `obj`, as an `Operation` or `Tensor`. This function validates that `obj` represents an element of this grap

Publicly accessible method for determining the current backend. Only exists for API compatibility with multi-backend Keras. Returns: The s

Handles a command by dispatching it to a registered command handler. Args: prefix: Command prefix, as a str, e.g., "print". argv: Com

An op which initializes MPI on the device on which it is run. All future MPI ops must be run on the same device that the `init` op was run on.

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

Returns whether the shape is of the specified type (array, tuple, etc).

Stores `value` in the collections given by `names`. Note that collections are not sets, so it is possible to add a value to a collection seve

Deprecated, do NOT use! Alias for `add_weight`.

Decoder using LSTM. Args: x: tensor of size [num_children, num_groups, embedding_size]. last_c: tensor of size [num_children, hidden_

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

Return a copy of itself. Note that this class is a "view", copying it only create another view and does not copy the underlying part of the t

Returns a list of values in the collection with the given `name`. If the collection exists, this returns the list itself, which can be modifi

The input tensors of this subgraph view.

Returns true if the indicated dimension is ragged.

Transform [batch] matrix `x` with left multiplication: `x --> Ax`. ```python # Make an operator acting like batch matrix A. Assume A.shape

Returns the number of input tensors.

Returns the values captured so far. Returns: `dict` mapping `int` step numbers to that values of the variable at the respective s

Variance. Variance is defined as, ```none Var = E[(X - E[X])**2] ``` where `X` is the random variable associated with this dist

Creates a new single-process cluster running on the local host. This method is a convenience wrapper for creating a `tf.distribute.Server` wi

Returns the `name` hyper parameter, optionally cast to `dtype`.

Invoke the interpreter. Be sure to set the input sizes, allocate tensors and fill values before calling this. Also, note that this function r

PyObject -> C++ conversion.

In graph mode returns the result Tensor while in eager the callable.

Returns this->status().ok()

Returns the value of this variable, read in the current context. Can be different from value() if it's on another device, with control depend

Default constructor creates an empty example.

Returns the adjoint of the current `LinearOperator`. Given `A` representing this `LinearOperator`, return `A*`. Note that calling `self.adjoi

Computes the given reduction across the given axes of a LabeledTensor. See `tf.{op_name}` for full details. Args: labeled_tensor: The

Returns the current control flow context. Returns: A context object.