tf.strings.as_string | TensorFlow v2.16.1 (original) (raw)
Converts each entry in the given tensor to strings.
View aliases
Main aliases
Compat aliases for migration
SeeMigration 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: Annotated[Any, TV_AsString_T],
precision: int = -1,
scientific: bool = False,
shortest: bool = False,
width: int = -1,
fill: str = '',
name=None
) -> Annotated[Any, _atypes.String]
Used in the notebooks
Supports many numeric types and boolean.
For Unicode, see thehttps://www.tensorflow.org/tutorials/representation/unicodetutorial.
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: 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). |
Returns |
---|
A Tensor of type string. |