Generates fingerprint values.
Compat aliases for migration
See Migration guide for more details.
tf.raw_ops.Fingerprint( data, method, name=None )
Generates fingerprint values of
Fingerprint op considers the first dimension of
data as the batch dimension,
output[i] contains the fingerprint value generated from contents in
data[i, ...] for all
Fingerprint op writes fingerprint values as byte arrays. For example, the
farmhash64 generates a 64-bit fingerprint value at a time.
This 8-byte value is written out as an
uint8 array of size 8, in little-endian
For example, suppose that
data has data type
DT_INT32 and shape (2, 3, 4),
and that the fingerprint method is
farmhash64. In this case, the output shape
is (2, 8), where 2 is the batch dimension size of
data, and 8 is the size of
each fingerprint value in bytes.
output[0, :] is generated from 12 integers in
data[0, :, :] and similarly
output[1, :] is generated from other 12 integers
data[1, :, :].
Note that this op fingerprints the raw underlying buffer, and it does not fingerprint Tensor's metadata such as data type and/or shape. For example, the fingerprint values are invariant under reshapes and bitcasts as long as the batch dimension remain the same:
Fingerprint(data) == Fingerprint(Reshape(data, ...)) Fingerprint(data) == Fingerprint(Bitcast(data, ...))
For string data, one should expect
Fingerprint(ReduceJoin(data)) in general.
||A name for the operation (optional).|