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

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

Methods for accessing the primitive type.

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

See evaluable.Evaluable.

Intelligently sets any non-specific parameters.

Sum of the values in a tensor, alongside the specified axis. Arguments: x: A tensor or variable. axis: An integer, the axis to sum over

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

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

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

Returns true if no tensors have been added to this store.

Returns input/output port index.

Returns a `ConcreteFunction` specialized to inputs and execution context. Args: *args: inputs to specialize on. **kwargs: inputs to s

A deterministic random normal if seed is passed.

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

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

Polymorphic matcher to compare any two protos.

Asserts that two floats are near each other. Checks that |f1 - f2| < err and asserts a test failure if not. Args: f1: A float valu

Get common shape dim, DCHECKing that they all agree.

Outputs random values from a normal distribution. Args: shape: A 1-D integer Tensor or Python array. The shape of the output tensor

Returns the `TensorShape` that represents the shape of this tensor. The shape is computed using shape inference functions that are registered

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

r"""Computes the absolute value of a tensor. Given a tensor of integer or floating-point values, this operation returns a tensor of the same type

Returns the total number of elements in the array.

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 the index of this allocation.

Returns the maximum representable value in this data type. Raises: TypeError: if this is a non-numeric, unordered, or quantized type.

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

Copy a subgraph. Args: sgv: the source subgraph-view. This argument is converted to a subgraph using the same rules than the function sub

If this is a tuple, returns its sequence of constituent Shape objects. Returns: Tuple sub-shapes. Raises: ValueError: if this is

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

Returns the parameter instruction for the given parameter number.

Build tensor data spreading the range [min_value, max_value).

Returns a context manager to enclose code expected to raise an exception. If the exception is an OpError, the op stack is also included in the me