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

Returns NodeView from `graph_view_` at `node_index_`.

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

Compute gradients of `loss` for the variables in `var_list`. This is the first part of `minimize()`. It returns a list of (gradient, variabl

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

Exits the current frame to its parent frame. Exit makes its input `data` available to the parent frame. Args: data: The tensor to be made av

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()`.

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.

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

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

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

Creates a `Dataset` that prefetches elements from this dataset. Note: Like other `Dataset` methods, prefetch operates on the elements of the

Returns a NumPy array specifying the minimum bounds (inclusive).

Convenience wrapper to create Numpy arrays with a np.float32 dtype.

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

Returns a `RaggedTensor` containing the specified sequences of numbers. Each row of the returned `RaggedTensor` contains a single sequence: ```p

`high - low`.

Releases the cleanup function instead of running it. Hint: use c.release()() to run early.

Converts a TensorFlow GraphDef based on instance variables. Returns: The converted data in serialized format. Either a TFLite Flatbuffer or

Randomly shuffles the elements of this dataset. This dataset fills a buffer with `buffer_size` elements, then randomly samples elements from

Split strings using any of the supplied delimiters. For example: Split("a,b.c,d", ".,") would return {"a", "b", "c", "d"}.

Return whether the rank is unknown

The vdotq_lane_s32 takes int8x8t for the rhs parameter, whereas the actual instruction selects from between 4 32-bit (4x8-bit packed) sub-registers, a

Probability density/mass function. Args: value: `float` or `double` `Tensor`. name: Python `str` prepended to names of ops created by

Returns the buffer defined at the given instruction and index.

Only needed by variable op to set the shape of an uninitialized Tensor. TODO: Remove this when we have a better story for detecting uninitialized tens

Returns the size of the file.

Returns the number of users of this instruction.