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src/main/webapp/js/admin/plugins/form-validator/sepa.js
,"U04A16"],["PL",28,"F08F16"],["PS",29,"U04A21"],["PT",25,"F04F04F11F02"],["RO",24,"U04A16"],["RS",22,"F03F13F02"],["SA",24,"F02A18"],["SE",24,"F03F16F01"],["SI",19,"F05F08F02"],["SK",24,"F04F06F10"],["SM",27,"U01F05F05A12"],["ST",25,"F08F11F02"],["TL",23,"F03F14F02"],["TN",24,"F02F03F13F02"],["TR",26,"F05F01A16"],["VG",24,"U04F16"],["XK",20,"F04F10F02"],["AO",25,"F21"],["BF",27,"F23"],["BI",16,"F12"],["BJ",28,"F24"],["CI",28,"U01F23"],["CM",27,"F23"],["CV",25,"F21"],["DZ",24,"F20"],["IR",26,"F2...
Registered: Wed Jun 12 13:08:18 UTC 2024 - Last Modified: Mon Jan 01 05:12:47 UTC 2018 - 3.4K bytes - Viewed (0) -
docs/language_names.yml
so: Soomaaliga sq: shqip sr: српски језик ss: SiSwati st: Sesotho su: Basa Sunda sv: svenska sw: Kiswahili ta: தமிழ் te: తెలుగు tg: тоҷикӣ th: ไทย ti: ትግርኛ tk: Türkmen tl: Wikang Tagalog tn: Setswana to: faka Tonga tr: Türkçe ts: Xitsonga tt: татар теле tw: Twi ty: Reo Tahiti ug: ئۇيغۇرچە uk: українська мова ur: اردو uz: Ўзбек ve: Tshivenḓa
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Mon Jan 22 19:42:53 UTC 2024 - 3.1K bytes - Viewed (0) -
platforms/software/dependency-management/src/main/java/org/gradle/api/internal/artifacts/ivyservice/resolveengine/excludes/ModuleExclusions.java
private final ExcludeFactory factory = new OptimizingExcludeFactory(// optimizes for nulls, 2-params, ... mandatory new CachingExcludeFactory(// caches the result of TL operations LoggingExcludeFactory.maybeLog(new NormalizingExcludeFactory(// performs algebra new CachingExcludeFactory(// caches the result of optimization operations
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Mon Dec 11 13:37:56 UTC 2023 - 5.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/g3doc/space_to_depth.md
# Automatic Space to Depth Transform in MLIR Bridge Author: wangtao@, yuanzx@, hinsu@, lyandy@, chiachenc@, aminim@, jpienaar@, dehao@ ## TL;DR _This document describes an automatic space to depth transform for the first convolution in the new MLIR bridge to improve MXU efficiency of low batch size convolutions._ ## Background For image models, the first layer is usually not MXU friendly as it has a
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Oct 24 02:51:43 UTC 2020 - 8.3K bytes - Viewed (0)