tf.strings.as_string

Converts each entry in the given tensor to strings.

Main aliases

tf.as_string, `tf.dtypes.as_string`

Compat aliases for migration

tf.strings.as_string(
    input, precision=-1, scientific=False, shortest=False, width=-1, fill='',
    name=None
)

Supports many numeric types and boolean.

Args
`input`	A `Tensor`. Must be one of the following types: `int8`, `int16`, `int32`, `int64`, `complex64`, `complex128`, `float32`, `float64`, `bool`.
`precision`	An optional `int`. Defaults to `-1`. The post-decimal precision to use for floating point numbers. Only used if precision > -1.
`scientific`	An optional `bool`. Defaults to `False`. Use scientific notation for floating point numbers.
`shortest`	An optional `bool`. Defaults to `False`. Use shortest representation (either scientific or standard) for floating point numbers.
`width`	An optional `int`. Defaults to `-1`. Pad pre-decimal numbers to this width. Applies to both floating point and integer numbers. Only used if width > -1.
`fill`	An optional `string`. Defaults to `""`. The value to pad if width > -1. If empty, pads with spaces. Another typical value is '0'. String cannot be longer than 1 character.
`name`	A name for the operation (optional).

Returns
A `Tensor` of type `string`.

Args