Returns an attribute of the node by key. If no attribute for such key exists, a `nullptr` is returned.

Helper method for building tree leaves. Appends weight contributions for the given class index to a leaf node. Args: leaf: leaf node to appe

Returns a dictionary from job names to their tasks. For each job, if the task index space is dense, the corresponding value will be a list of

A copy of this Tensor with contents backed by host memory.

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

Extracts a slice from a tensor. This operation extracts a slice of size `size` from a tensor `input_` starting at the location specified by `begi

Add loss tensor(s), potentially dependent on layer inputs. Some losses (for instance, activity regularization losses) may be dependent on the

Compiles a computation. Returns an executable.

Run an op or tensor in the given session. Report the results. Args: sess: `Session` object to use for timing. op_or_tensor: `Operati

Saves variables. Args: file_prefix: Path prefix of files created for the checkpoint. global_step: If provided the global step number

Enqueues a Parameter op onto the computation. Args: value: a Numpy array, or a nested tuple thereof, from which the shape is inferr

r"""Creates a tensor filled with a scalar value. This operation creates a tensor of shape `dims` and fills it with `value`. For example: ```

Private method used to set an attribute in the node_def.

Finalizes quantile summary stream and resets it for next iteration. Args: stamp_token: Expected current token. next_stamp_token: Next

Creates a TocoConverter class from a TensorFlow Session.

Methods for accessing the layout field.

Returns the options for this dataset and its inputs. Returns: A `tf.data.Options` object representing the dataset options.

Methods for accessing and manipulating the Shape of the parameters.

Reverse a tensor along the specified axes. Arguments: x: Tensor to reverse. axes: Integer or iterable of integers. Axes to re

Solve (exact or approx) `R` (batch) systems of equations: `A X = rhs`. The returned `Tensor` will be close to an exact solution if `A` is well

Start threads for `QueueRunners`. Note that the queue runners collected in the graph key `QUEUE_RUNNERS` are already started automatically wh

Similar rationale to the zip-in_place functions, but callers only actually need the ZIP1 or ZIP2 asm instruction results.

Load training ops library and return the loaded module.

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

Gets size of the work queue. Returns: Size of the work queue.

Bind the parse member function so tensorflow::Flags can call it.

Provide default_value() to arg list

Make {@link #run()} return the output of {@code operation}. @param operation Is either the string name of the operation, in which case this method is