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tf.compat.v1.string_to_number

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

tf.compat.v1.string_to_number(
    string_tensor=None, out_type=tf.dtypes.float32, name=None, input=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.