tf.strings.as_string

Converts each entry in the given tensor to strings.

View aliases

Main aliases

tf.as_string

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.as_string, tf.compat.v1.dtypes.as_string, tf.compat.v1.strings.as_string

tf.strings.as_string(
    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)

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.