tf.raw_ops.UnicodeEncode

Encode a tensor of ints into unicode strings.

tf.raw_ops.UnicodeEncode(
    input_values,
    input_splits,
    output_encoding,
    errors='replace',
    replacement_char=65533,
    name=None
)

Returns a vector of strings, where output[i] is constructed by encoding the Unicode codepoints in input_values[input_splits[i]:input_splits[i+1]] using output_encoding.

Example:

input_values = [72, 101, 108, 108, 111, 87, 111, 114, 108, 100]
input_splits = [0, 5, 10]
output_encoding = 'UTF-8'

output = ['Hello', 'World']

input_valuesA Tensor of type int32. A 1D tensor containing the unicode codepoints that should be encoded.
input_splitsA Tensor. Must be one of the following types: int32, int64. A 1D tensor specifying how the unicode codepoints should be split into strings. In particular, output[i] is constructed by encoding the codepoints in the slice input_values[input_splits[i]:input_splits[i+1]].
output_encodingA string from: "UTF-8", "UTF-16-BE", "UTF-32-BE". Unicode encoding of the output strings. Valid encodings are: "UTF-8", "UTF-16-BE", and "UTF-32-BE".
errorsAn optional string from: "ignore", "replace", "strict". Defaults to "replace". Error handling policy when there is invalid formatting found in the input. The value of 'strict' will cause the operation to produce a InvalidArgument error on any invalid input formatting. A value of 'replace' (the default) will cause the operation to replace any invalid formatting in the input with the replacement_char codepoint. A value of 'ignore' will cause the operation to skip any invalid formatting in the input and produce no corresponding output character.
replacement_charAn optional int. Defaults to 65533. The replacement character codepoint to be used in place of any invalid formatting in the input when errors='replace'. Any valid unicode codepoint may be used. The default value is the default unicode replacement character is 0xFFFD (U+65533).
nameA name for the operation (optional).

A Tensor of type string.