tf.strings.to_number

Converts each string in the input Tensor to the specified numeric type.

tf.strings.to_number(
    input,
    out_type=tf.dtypes.float32,
    name=None
)

Used in the notebooks

Used in the guide	Used in the tutorials
Introduction to Tensors Migrating Keras 2 code to multi-backend Keras 3 Signatures in TensorFlow Lite	Robust machine learning on streaming data using Kafka and Tensorflow-IO TensorFlow 2 TPUEmbeddingLayer: Quick Start Sending Different Data To Particular Clients With tff.federated_select

(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.