Computes natural logarithm of (1 + x) element-wise.
I.e., \\(y = \log_e (1 + x)\\).
Example:
x = tf.constant([0, 0.5, 1, 5])
tf.math.log1p(x) ==> [0., 0.4054651, 0.6931472, 1.7917595]
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> Log1p<T> | |
Output<T> |
y()
|
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 Log1p<T> create (Scope scope, Operand<T> x)
Factory method to create a class wrapping a new Log1p operation.
Parameters
scope | current scope |
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Returns
- a new instance of Log1p