tf.strings.as_string

Converts each entry in the given tensor to strings.

tf.strings.as_string(
    input: _atypes.TensorFuzzingAnnotation[TV_AsString_T],
    precision: int = -1,
    scientific: bool = False,
    shortest: bool = False,
    width: int = -1,
    fill: str = '',
    name=None
) -> _atypes.TensorFuzzingAnnotation[_atypes.String]

Supports many numeric types and boolean.

For Unicode, see the https://www.tensorflow.org/tutorials/representation/unicode tutorial.

Examples:

tf.strings.as_string([3, 2])
<tf.Tensor: shape=(2,), dtype=string, numpy=array([b'3', b'2'], dtype=object)>
tf.strings.as_string([3.1415926, 2.71828], precision=2).numpy()
array([b'3.14', b'2.72'], dtype=object)

input A Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, int64, bfloat16, uint16, half, uint32, uint64, complex64, complex128, bool, variant, string.
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).

A Tensor of type string.