Returns the truth value of (x == y) element-wise.
NOTE: `math.Equal` supports broadcasting. More about broadcasting [here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
x = tf.constant([2, 4])
y = tf.constant(2)
tf.math.equal(x, y) ==> array([True, False])
x = tf.constant([2, 4])
y = tf.constant([2, 4])
tf.math.equal(x, y) ==> array([True, True])
Nested Classes
class | Equal.Options | Optional attributes for Equal
|
Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
Output<TBool> |
asOutput()
Returns the symbolic handle of the tensor.
|
static <T extends TType> Equal |
create(Scope scope, Operand<T> x, Operand<T> y, Options... options)
Factory method to create a class wrapping a new Equal operation.
|
static Equal.Options |
incompatibleShapeError(Boolean incompatibleShapeError)
|
Output<TBool> |
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<TBool> 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 Equal create (Scope scope, Operand<T> x, Operand<T> y, Options... options)
Factory method to create a class wrapping a new Equal operation.
Parameters
scope | current scope |
---|---|
options | carries optional attributes values |
Returns
- a new instance of Equal