Returns true if the sharding has tuple type.

Restore a training checkpoint. Restores this `Checkpoint` and any objects it depends on. Either assigns values immediately if variables to r

The number of GPUs available to execute operations.

Saves a training checkpoint and provides basic checkpoint management. The saved checkpoint includes variables created by this object and any

Attr returns the value of an attribute on op. It returns an error if the attribute does not exist.

Verifies that 'op' produces 'expected' when fed input 'inp' . Args: op: operator to test inp: numpy input array to use as input to 'o

Adds a value to this variable. This is essentially a shortcut for `assign_add(self, delta)`. Args: delta: A `Tensor`. The value to ad

Return a dense (batch) matrix representing this operator.

The statically known shape of this ragged tensor. Returns: A `TensorShape` containing the statically known shape of this ragged tenso

Return pointer to variable length section.

Write `value` into index `index` of the TensorArray. Args: index: 0-D. int32 scalar with the index to write to. value: N-D. Tensor

Returns the `Operation` with the given `name`. This method may be called concurrently from multiple threads. Args: name: The name of t

Check if the coordinator was told to stop. See `Coordinator.should_stop()`. Returns: True if the coordinator was told to stop, False o

A TensorFlow session object which will execute the `run`.

Overrides the shape for this variable. Args: shape: the `TensorShape` representing the overridden shape.

Gets a numpy-style shape tuple giving the dataset dimensions. Returns: A numpy-style shape tuple.

Accumulate a new instance of ProfileDatum. Args: profile_datum: (`ProfileDatum`) an instance of `ProfileDatum` to accumulate to thi

Run `fn` once per replica. `fn` may call `tf.get_replica_context()` to access methods such as `replica_id_in_sync_group` and `merge_call()`.

Prints a list of tensors. Passes `input` through to `output` and prints `data` when evaluating. Arguments: input: The tensor passed to `output` da

Report a benchmark. Args: iters: (optional) How many iterations were run cpu_time: (optional) Median or mean cpu time in seconds.

Parses a serialized DataColumn produced from the SerializeToString() function of a python data_ops.DataColumn object. It should look like a proto ASCI

Create an op that places a value into the staging area. This operation will block if the `StagingArea` has reached its capacity. Args:

Returns the value wrapped by this optional. If this optional does not have a value (i.e. `self.has_value()` evaluates to `False`), this opera

Raises an exception if `other` is not compatible with this Dimension. Args: other: Another Dimension. Raises: ValueError: If `se

Extend this instance of RichTextLines with another instance. The extension takes effect on the text lines, the font attribute segments, as we

Stores the default arguments for the given set of list_ops. For usage, please see examples at top of the file. Args: list_ops_or_scope: List

Load new value into this variable. Writes new value to variable's memory. Doesn't add ops to the graph. This convenience method requires a s