Converts each string in the input Tensor to the specified numeric type.
tf.raw_ops.StringToNumber(
string_tensor,
out_type=tf.dtypes.float32
,
name=None
)
(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)
<tf.Tensor: shape=(3,), dtype=float32, numpy=array([5., 3., 7.], dtype=float32)>
Args | |
---|---|
string_tensor
|
A Tensor of type string .
|
out_type
|
An optional tf.DType from: tf.float32, tf.float64, tf.int32, tf.int64 . Defaults to tf.float32 .
The numeric type to interpret each string in string_tensor as.
|
name
|
A name for the operation (optional). |
Returns | |
---|---|
A Tensor of type out_type .
|