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