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aliran tensor:: operasi:: Bandingkan dan Bitpack
#include <math_ops.h> Bandingkan nilai input dengan threshold dan kemas bit yang dihasilkan ke dalam uint8 .
Ringkasan
Setiap perbandingan mengembalikan boolean true (jika input_value > threshold ) atau dan false sebaliknya.
Operasi ini berguna untuk Locality-Sensitive-Hashing (LSH) dan algoritma lain yang menggunakan perkiraan hashing jarak kosinus dan L2 ; kode dapat dihasilkan dari input melalui:
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] CATATAN : Saat ini, dimensi tensor terdalam harus habis dibagi 8.
Diberikan input berbentuk [s0, s1, ..., s_n] , keluarannya adalah uint8 berbentuk tensor [s0, s1, ..., s_n / 8] .
Argumen:
- ruang lingkup: Objek Lingkup
- input: Nilai untuk dibandingkan dengan
threshold dan bitpack. - ambang batas: Ambang batas untuk dibandingkan.
Pengembalian:
-
Output : Perbandingan bitpacked.
Atribut publik
Fungsi publik
simpul
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Keluaran
operator::tensorflow::Output() const
Kecuali dinyatakan lain, konten di halaman ini dilisensikan berdasarkan Lisensi Creative Commons Attribution 4.0, sedangkan contoh kode dilisensikan berdasarkan Lisensi Apache 2.0. Untuk mengetahui informasi selengkapnya, lihat Kebijakan Situs Google Developers. Java adalah merek dagang terdaftar dari Oracle dan/atau afiliasinya.
Terakhir diperbarui pada 2025-07-26 UTC.
[null,null,["Terakhir diperbarui pada 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/r2.3/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/r2.3/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/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input, ::`[tensorflow::Input](/versions/r2.3/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/r2.3/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_compare_and_bitpack_1a52739fa1033fe1e93ee013270d8adb3c) | `::`[tensorflow::Output](/versions/r2.3/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```"]]
