tf.dtypes.as_string

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

Defined in generated file: tensorflow/python/ops/gen_string_ops.py.

Converts each entry in the given tensor to strings. Supports many numeric

types and boolean.

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).

A Tensor of type string.