Returns x + y element-wise.
NOTE: `math.Add` supports broadcasting. `AddN` does not. More about broadcasting [here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
Given two input tensors, the tf.add
operation computes the sum for every element in the tensor.
Both input and output have a range `(-inf, inf)`.
Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
Output<T> |
asOutput()
Returns the symbolic handle of the tensor.
|
static <T extends TType> Add<T> | |
Output<T> |
z()
|
Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public Output<T> asOutput ()
Returns the symbolic handle of the tensor.
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
public static Add<T> create (Scope scope, Operand<T> x, Operand<T> y)
Factory method to create a class wrapping a new Add operation.
Parameters
scope | current scope |
---|
Returns
- a new instance of Add