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
Inherited Methods
boolean |
equals(Object arg0)
|
final Class<?> |
getClass()
|
int |
hashCode()
|
final void |
notify()
|
final void |
notifyAll()
|
String |
toString()
|
final void |
wait(long arg0, int arg1)
|
final void |
wait(long arg0)
|
final void |
wait()
|
abstract ExecutionEnvironment |
env()
Return the execution environment this op was created in.
|
abstract Operation |
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