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tensoreflusso:: ops:: ConfrontaAndBitpack
#include <math_ops.h> Confronta i valori di input con threshold e comprime i bit risultanti in un uint8 .
Riepilogo
Ogni confronto restituisce un valore booleano true (se input_value > threshold ) o false in caso contrario.
Questa operazione è utile per Locality-Sensitive-Hashing (LSH) e altri algoritmi che utilizzano approssimazioni di hashing delle distanze coseno e L2 ; i codici possono essere generati da un input tramite:
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] NOTA : Attualmente la dimensione più interna del tensore deve essere divisibile per 8.
Dato un input a forma di [s0, s1, ..., s_n] , l'output è un tensore uint8 a forma di [s0, s1, ..., s_n / 8] .
Argomenti:
- scope: un oggetto Scope
- input: valori da confrontare con
threshold e bitpack. - soglia: soglia con cui effettuare il confronto.
Resi:
-
Output : i confronti bitpacked.
Attributi pubblici
Funzioni pubbliche
nodo
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operatore::tensorflow::Output
operator::tensorflow::Output() const
Salvo quando diversamente specificato, i contenuti di questa pagina sono concessi in base alla licenza Creative Commons Attribution 4.0, mentre gli esempi di codice sono concessi in base alla licenza Apache 2.0. Per ulteriori dettagli, consulta le norme del sito di Google Developers. Java è un marchio registrato di Oracle e/o delle sue consociate.
Ultimo aggiornamento 2025-07-26 UTC.
[null,null,["Ultimo aggiornamento 2025-07-26 UTC."],[],[],null,["# tensorflow::ops::CompareAndBitpack Class Reference\n\ntensorflow::ops::CompareAndBitpack\n==================================\n\n`#include \u003cmath_ops.h\u003e`\n\nCompare values of `input` to `threshold` and pack resulting bits into a `uint8`.\n\nSummary\n-------\n\nEach comparison returns a boolean `true` (if `input_value \u003e threshold`) or and `false` otherwise.\n\nThis 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:\n\n\n```transact-sql\ncodebook_size = 50\ncodebook_bits = codebook_size * 32\ncodebook = tf.get_variable('codebook', [x.shape[-1].value, codebook_bits],\n dtype=x.dtype,\n initializer=tf.orthogonal_initializer())\ncodes = compare_and_threshold(tf.matmul(x, codebook), threshold=0.)\ncodes = tf.bitcast(codes, tf.int32) # go from uint8 to int32\n# now codes has shape x.shape[:-1] + [codebook_size]\n```\n\n\u003cbr /\u003e\n\n**NOTE**: Currently, the innermost dimension of the tensor must be divisible by 8.\n\nGiven an `input` shaped `[s0, s1, ..., s_n]`, the output is a `uint8` tensor shaped `[s0, s1, ..., s_n / 8]`.\n\nArguments:\n\n- scope: A [Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- input: Values to compare against `threshold` and bitpack.\n- threshold: Threshold to compare against.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The bitpacked comparisons.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [CompareAndBitpack](#classtensorflow_1_1ops_1_1_compare_and_bitpack_1aa00f05feb63c6001dbeb274f30d67977)`(const ::`[tensorflow::Scope](/versions/r2.2/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input, ::`[tensorflow::Input](/versions/r2.2/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` threshold)` ||\n\n| ### Public attributes ||\n|-------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_compare_and_bitpack_1a844ac2bc7be66b00b7165a65b4fd7b5c) | [Operation](/versions/r2.2/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_compare_and_bitpack_1a52739fa1033fe1e93ee013270d8adb3c) | `::`[tensorflow::Output](/versions/r2.2/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|-------------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_compare_and_bitpack_1af6f8f9c40e4b60d75a6a6eb9d0c39ae8)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_compare_and_bitpack_1a107c8a31460e12f5d2c4892c9e3c6c1e)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_compare_and_bitpack_1ade9a5b902ca0f3af8969b0157da966de)`() const ` | ` ` ` ` |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### output\n\n```text\n::tensorflow::Output output\n``` \n\nPublic functions\n----------------\n\n### CompareAndBitpack\n\n```gdscript\n CompareAndBitpack(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input,\n ::tensorflow::Input threshold\n)\n``` \n\n### node\n\n```gdscript\n::tensorflow::Node * node() const \n``` \n\n### operator::tensorflow::Input\n\n```gdscript\n operator::tensorflow::Input() const \n``` \n\n### operator::tensorflow::Output\n\n```gdscript\n operator::tensorflow::Output() const \n```"]]
