tf.as_string()

tf.as_string(input, precision=None, scientific=None, shortest=None, width=None, fill=None, name=None)

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

types and boolean.

Args:

• input: A Tensor. Must be one of the following types: int32, int64, complex64, float32, float64, bool, int8.
• 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.