public final class
Log
Computes natural logarithm of x element-wise.
I.e., \\(y = \log_e x\\).
Example:
x = tf.constant([0, 0.5, 1, 5])
tf.math.log(x) ==> [-inf, -0.6931472, 0. , 1.609438]
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> Log<T> | |
Output<T> |
y()
|
Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Constant Value:
"Log"
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 Log<T> create (Scope scope, Operand<T> x)
Factory method to create a class wrapping a new Log operation.
Parameters
scope | current scope |
---|
Returns
- a new instance of Log