Finds node by index in the graph. If no such node exists in the graph, a `nullptr` is returned.

Asserts that the two given devices are the same. Args: device1: A string device name or TensorFlow `DeviceSpec` object. device2: A st

Runs operations and evaluates tensors in `fetches`. This method runs one "step" of TensorFlow computation, by running the necessary graph fra

Shape of batch dimensions of this operator, determined at runtime. If this operator acts like the batch matrix `A` with `A.shape = [B1,...,Bb

Enqueues zero or more elements to this queue. This operation slices each component tensor along the 0th dimension to make multiple queue elem

Returns the size, in bytes, for the backing memory.

Returns a context manager that enables summary writing.

Return the sharding protobuf of type xla_data_pb2.OpSharding.

Returns a serialized `GraphDef` representation of this graph. The serialized `GraphDef` can be imported into another `Graph` (using `tf.impor

Is list empty?

Context-manager to force placement of operations and Tensors on a device. Args: name: Name of the device or None to get default placement.

Intelligently sets any non-specific parameters.

Return the index of the destination input that consumes the data carried by this edge. The special value kControlSlot is used for control dependencie

Returns MIOpen handle. To be passed directly to MIOpen APIs, don't keep a copy.

Add a node invoking a registered Op to a graph. Example usage: # input1 and input2 can be Tensors or anything ops.convert_to_tensor()

Add operations to minimize `loss` by updating `var_list`. This method simply combines calls `compute_gradients()` and `apply_gradients()`. If

Returns true if the sharding has tuple type.

Methods for accessing the primitive type.

Get this scope's variables.

Return the node name corresponding to 'name' if name is valid, or the empty string otherwise.

A deterministic random normal if seed is passed.

GetTupleElement(operand, N) matches a GTE instruction which gets the N'th tuple element of operand, while GetTupleElement(operand) matches any GTE ope

See evaluable.Evaluable.

Execute a session. <p>The author apologizes for the ugliness of the long argument list of this method. However, take solace in the fact that this is

Returns a Sharding that splits a tensor across a dimension. This creates a Tiled attribute, similar to tile(), but easier to use for the comm

Starts the handler's workers. Arguments: workers: Number of workers. max_queue_size: queue size (when full, workers c

Number of elements currently held by this TopN object. This will be no greater than 'limit' passed to the constructor.

Unstack the values of a `Tensor` in the TensorArray. If input value shapes have rank-`R`, then the output TensorArray will contain elements w

\brief Returns the number of micro-seconds since the Unix epoch.

Returns input/output port index.

PyObject -> C++ conversion.

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