Generates fingerprint values.
Generates fingerprint values of
Fingerprint op considers the first dimension of
data as the batch dimension, and
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 default method
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 order.
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 in
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(data) != Fingerprint(ReduceJoin(data)) in general.
Output: A two-dimensional
tf.uint8. The first dimension equals to
data's first dimension, and the second dimension size depends on the fingerprint algorithm.
|Constructors and Destructors|
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Fingerprint( const ::tensorflow::Scope & scope, ::tensorflow::Input data, ::tensorflow::Input method )
::tensorflow::Node * node() const
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.