tf.raw_ops.AsString

Converts each entry in the given tensor to strings.

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

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)

inputA 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.
precisionAn optional int. Defaults to -1. The post-decimal precision to use for floating point numbers. Only used if precision > -1.
scientificAn optional bool. Defaults to False. Use scientific notation for floating point numbers.
shortestAn optional bool. Defaults to False. Use shortest representation (either scientific or standard) for floating point numbers.
widthAn 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.
fillAn 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.
nameA name for the operation (optional).

A Tensor of type string.