Converts each string in the input Tensor to the specified numeric type.
(Note that int32 overflow results in an error while float overflow results in a rounded value.)
Example:
 >>> strings = ["5.0", "3.0", "7.0"]
 >>> tf.strings.to_number(strings)
 
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 TNumber> ToNumber<T> | |
| static ToNumber<TFloat32> | |
| Output<T> | 
output()
                
                   A Tensor of the same shape as the input `string_tensor`. | 
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 ToNumber<T> create (Scope scope, Operand<TString> stringTensor, Class<T> outType)
Factory method to create a class wrapping a new ToNumber operation.
Parameters
| scope | current scope | 
|---|---|
| outType | The numeric type to interpret each string in `string_tensor` as. | 
Returns
- a new instance of ToNumber
public static ToNumber<TFloat32> create (Scope scope, Operand<TString> stringTensor)
Factory method to create a class wrapping a new ToNumber operation using default output types.
Parameters
| scope | current scope | 
|---|
Returns
- a new instance of ToNumber