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Generates fingerprint values.

tf.fingerprint( data, method='farmhash64', name=None )

Generates fingerprint values of `data`

.

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 `i`

.

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 `tf.uint8`

array of size 8, in little-endian order.

For example, suppose that `data`

has data type `tf.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:

tf.fingerprint(data) == tf.fingerprint(tf.reshape(data, ...)) tf.fingerprint(data) == tf.fingerprint(tf.bitcast(data, ...))

For string data, one should expect `tf.fingerprint(data) != tf.fingerprint(tf.string.reduce_join(data))`

in general.

Args | |
---|---|

`data` | A `Tensor` . Must have rank 1 or higher. |

`method` | A `Tensor` of type `tf.string` . Fingerprint method used by this op. Currently available method is `farmhash64` . |

`name` | A name for the operation (optional). |

Returns | |
---|---|

A two-dimensional `Tensor` of type `tf.uint8` . The first dimension equals to `data` 's first dimension, and the second dimension size depends on the fingerprint algorithm. |

© 2020 The TensorFlow Authors. All rights reserved.

Licensed under the Creative Commons Attribution License 3.0.

Code samples licensed under the Apache 2.0 License.

https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/fingerprint