Returns a builder to create a new {@link Operation}. @param type of the Operation (i.e., identifies the computation to be performed) @param name to r

Reuse variables in this scope.

Execute the graph fragments necessary to compute all requested fetches. <p><b>WARNING:</b> The caller assumes ownership of all returned {@link Tensor

Test the model on a single batch of samples. Arguments: x: Input data. It could be: - A Numpy array (or array-like), or a list

static */

Fill entries with keys [start,limit).

Pushes one entry while maintaining approximation error invariants.

Inlined for performance.

Sets tensor to dynamic.

Verifies that HloEvaluator evaluates a HLO instruction that performs element-wise addition with 2 operands.

Creates a `Sum` instance. Args: name: (Optional) string name of the metric instance. dtype: (Optional) data type of the metric result

Get the containing `tf.distribute.Strategy`. This should not generally be needed except when creating a new `ReplicaContext` and to validate

Adds metric tensor to the layer. Args: value: Metric tensor. aggregation: Sample-wise metric reduction function. If `aggregation=None

Returns a context manager that makes this object the default session. Use with the `with` keyword to specify that calls to `tf.Operation.run`

Creates a new, uninitialized `Iterator` with the given structure. This iterator-constructing method can be used to create an iterator that is

Shortcut for `tf.group(self.experimental_local_results(value))`.

Returns the value of the initialized variable. You should use this instead of the variable itself to initialize another variable with a value

Iterates over the time dimension of a tensor. Arguments: step_function: RNN step function. Args; input; Tensor with s

Element-wise tanh. Arguments: x: A tensor or variable. Returns: A tensor.

If `must_be_true()` is true this SymbolPredicate represents the proposition "tensor_id() is live and evaluates to true". If `must_be_true()` is false

Builds a `Computation` from the contents of the builder. Args: root: if not None, the operator containing the return value of the c

Fills the array with sequentially increasing values.

This is a portable fingerprint interface for strings that will never change. However, it is not suitable for cryptography.

Creates a `Dataset` whose elements are generated by `generator`. The `generator` argument must be a callable object that returns an object th

r"""Reads the next line from the file. Leaves the '\n' at the end.

Reduces the input dataset to a single element. The transformation calls `reduce_func` successively on every element of the input dataset unti

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