Compare values of `input` to `threshold` and pack resulting bits into a `uint8`.
Each comparison returns a boolean `true` (if `input_value > threshold`) or and `false` otherwise.
This operation is useful for Locality-Sensitive-Hashing (LSH) and other algorithms that use hashing approximations of cosine and `L2` distances; codes can be generated from an input via:
codebook_size = 50
codebook_bits = codebook_size * 32
codebook = tf.get_variable('codebook', [x.shape[-1].value, codebook_bits],
dtype=x.dtype,
initializer=tf.orthogonal_initializer())
codes = compare_and_threshold(tf.matmul(x, codebook), threshold=0.)
codes = tf.bitcast(codes, tf.int32) # go from uint8 to int32
# now codes has shape x.shape[:-1] + [codebook_size]
Given an `input` shaped `[s0, s1, ..., s_n]`, the output is a `uint8` tensor shaped `[s0, s1, ..., s_n / 8]`.
Constants
String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
Output<TUint8> |
asOutput()
Returns the symbolic handle of the tensor.
|
static <T extends TType> CompareAndBitpack | |
Output<TUint8> |
output()
The bitpacked comparisons.
|
Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Public Methods
public Output<TUint8> asOutput ()
Returns the symbolic handle of the tensor.
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
public static CompareAndBitpack create (Scope scope, Operand<T> input, Operand<T> threshold)
Factory method to create a class wrapping a new CompareAndBitpack operation.
Parameters
scope | current scope |
---|---|
input | Values to compare against `threshold` and bitpack. |
threshold | Threshold to compare against. |
Returns
- a new instance of CompareAndBitpack