tff.analytics.heavy_hitters.iblt.decode_iblt_tensor_tf

Decode a IBLT sketch.

This function wraps IbltDecoder to decode iblt and returns frequencies of decoded strings.

iblt Tensor representing the IBLT computed by the IbltEncoder.
iblt_values Tensor representing the IBLT values computed by the IbltEncoder.
capacity Number of distinct strings that we expect to be inserted.
string_max_length Maximum length of a string that can be inserted.
value_shape Shape of the values tensor.
encoding The character encoding of the string data to decode. For non-character binary data or strings with unknown encoding, specify CharacterEncoding.UNKNOWN.
seed Integer seed for hash functions. Defaults to 0.
repetitions Number of repetitions in IBLT data structure (must be >= 3). Defaults to 3.
hash_family A str specifying the hash family to use to construct IBLT. Options include coupled or random, default is chosen based on capacity.
hash_family_params An optional dict of parameters that the hash family hasher expects. Defaults are chosen based on capacity.
field_size The field size for all values in IBLT. Defaults to 2**31 - 1.

(out_strings, out_counts, out_tensor_counts num_not_decoded) where out_strings is a tf.Tensor containing all the decoded strings, out_counts is a tf.Tensor containing the counts of each string, out_tensor_counts is a tf.Tensor containing tensor counts for each decoded string and num_not_decoded is a tf.Tensor with the number of items not decoded in the IBLT.