tf.raw_ops.UnicodeDecode

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Decodes each string in input into a sequence of Unicode code points.

The character codepoints for all strings are returned using a single vector char_values, with strings expanded to characters in row-major order.

The row_splits tensor indicates where the codepoints for each input string begin and end within the char_values tensor. In particular, the values for the ith string (in row-major order) are stored in the slice [row_splits[i]:row_splits[i+1]]. Thus:

  • char_values[row_splits[i]+j] is the Unicode codepoint for the jth character in the ith string (in row-major order).
  • row_splits[i+1] - row_splits[i] is the number of characters in the ith string (in row-major order).

input A Tensor of type string. The text to be decoded. Can have any shape. Note that the output is flattened to a vector of char values.
input_encoding A string. Text encoding of the input strings. This is any of the encodings supported by ICU ucnv algorithmic converters. Examples: "UTF-16", "US ASCII", "UTF-8".
errors An optional string from: "strict", "replace", "ignore". 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_char An 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 or U+65533.)
replace_control_characters An optional bool. Defaults to False. Whether to replace the C0 control characters (00-1F) with the replacement_char. Default is false.
Tsplits An optional tf.DType from: tf.int32, tf.int64. Defaults to tf.int64.
name A name for the operation (optional).

A tuple of Tensor objects (row_splits, char_values).
row_splits A Tensor of type Tsplits.
char_values A Tensor of type int32.