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.
|