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tf.strings.to_number

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

Used in the notebooks

Used in the guide Used in the tutorials

(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>

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).

A Tensor of type out_type.