tf.strings.to_number

TensorFlow 1 version View source on GitHub

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

(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.