tf.strings.to_number

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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.