About Cache Loaders A CacheLoader is an interface that specifies load() and loadAll() methods with a variety of parameters. CacheLoaders are incorporated into the core Ehcache classes and can be configured in ehcache.xml. CacheLoaders are invoked in…

About the Key Classes Ehcache consists of a CacheManager, which manages logical data sets represented as Caches. A Cache object contains Elements, which are essentially name-value pairs. You can use Cache objects to hold any kind of data that you wan…

There are several common access patterns when using a cache. Ehcache supports the following patterns: Cache-aside (or direct manipulation) Cache-as-sor (a combination of read-through and write-through or write-behind patterns) Read-through Write-thro…

About Searching The Search API allows you to execute arbitrarily complex queries against caches. The development of alternative indexes on values provides the ability for data to be looked up based on multiple criteria instead of just keys. Note: Ter…

About Write-Through and Write-Behind Caches Write-through caching is a caching pattern where writes to the cache cause writes to an underlying resource. The cache acts as a facade to the underlying resource. With this pattern, it often makes sense to…

About CacheManager Event Listeners CacheManager event listeners allow implementers to register callback methods that will be executed when a CacheManager event occurs. CacheManager listeners implement the CacheManagerEventListener interface. The even…

About Cache Extensions Cache extensions are a general-purpose mechanism to allow generic extensions to a cache. Cache extensions are tied into the cache lifecycle. For that reason, this interface has the lifecycle methods. Cache extensions are create…

About Cache Eviction Algorithms A cache eviction algorithm is a way of deciding which element to evict when the cache is full. In Ehcache , the memory store and the off-heap store might be limited in size. When these stores get full, elements are evi…

TF Lite开发人员指南 目录: 1 选择一个模型 使用一个预训练模型 使用自己的数据集重新训练inception-V3,MovileNet 训练自己的模型 2 转换模型格式 转换tf.GraphDef 完整转换器参考 计算节点兼容性 Graph 可视化工具 3 在移动端app,使用TensorFlow Lite模型推理 android IOS Raspberry PI 使用一个TensorFlow Lite 模型在你的移动端app需要受到需要约束:首先,你必须有训练好的模型(预训练/自己训练…

https://www.threadingbuildingblocks.org/docs/help/index.htm Parallelizing Data Flow and Dependency Graphs In addition to loop parallelism, the Intel® Threading Building Blocks (Intel® TBB) library also supports graph parallelism. It's possible to cre…