Converts each string in the input Tensor to the specified numeric type.
tf.strings.to_number(
input, out_type=tf.dtypes.float32, name=None
)
(Note that int32 overflow results in an error while float overflow
results in a rounded value.)
Examples:
tf.strings.to_number("1.55")
<tf.Tensor: shape=(), dtype=float32, numpy=1.55>
tf.strings.to_number("3", tf.int32)
<tf.Tensor: shape=(), dtype=int32, numpy=3>
Args |
|---|
input
|
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.
|
TensorFlow 1 version
View source on GitHub