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| <div id="projectbrief">A General Distributed Deep Learning Library</div> |
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| <div class="title">Class List</div> </div> |
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| <div class="textblock">Here are the classes, structs, unions and interfaces with brief descriptions:</div><div class="directory"> |
| <div class="levels">[detail level <span onclick="javascript:toggleLevel(1);">1</span><span onclick="javascript:toggleLevel(2);">2</span><span onclick="javascript:toggleLevel(3);">3</span>]</div><table class="directory"> |
| <tr id="row_0_" class="even"><td class="entry"><span style="width:0px;display:inline-block;"> </span><span id="arr_0_" class="arrow" onclick="toggleFolder('0_')">▼</span><span class="icona"><span class="icon">N</span></span><a class="el" href="namespacesinga.html" target="_self">singa</a></td><td class="desc">Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements </td></tr> |
| <tr id="row_0_0_"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_0_0_" class="arrow" onclick="toggleFolder('0_0_')">▼</span><span class="icona"><span class="icon">N</span></span><b>init</b></td><td class="desc"></td></tr> |
| <tr id="row_0_0_0_" class="even"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1init_1_1Constant.html" target="_self">Constant</a></td><td class="desc"></td></tr> |
| <tr id="row_0_0_1_"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1init_1_1Gaussian.html" target="_self">Gaussian</a></td><td class="desc"></td></tr> |
| <tr id="row_0_0_2_" class="even"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1init_1_1MSRA.html" target="_self">MSRA</a></td><td class="desc">Ref: [He, Zhang, Ren and Sun 2015]: Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification </td></tr> |
| <tr id="row_0_0_3_"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1init_1_1Uniform.html" target="_self">Uniform</a></td><td class="desc"></td></tr> |
| <tr id="row_0_0_4_" class="even"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1init_1_1Xavier.html" target="_self">Xavier</a></td><td class="desc">Ref: [Bengio and Glorot 2010] Understanding the difficulty of training deep feedforward neural networks </td></tr> |
| <tr id="row_0_1_"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_0_1_" class="arrow" onclick="toggleFolder('0_1_')">▼</span><span class="icona"><span class="icon">N</span></span><b>io</b></td><td class="desc"></td></tr> |
| <tr id="row_0_1_0_" class="even"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1io_1_1BinFileReader.html" target="_self">BinFileReader</a></td><td class="desc">Binfilereader reads tuples from binary file with key-value pairs </td></tr> |
| <tr id="row_0_1_1_"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1io_1_1BinFileWriter.html" target="_self">BinFileWriter</a></td><td class="desc">BinFile stores training/validation/test tuples </td></tr> |
| <tr id="row_0_1_2_" class="even"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1io_1_1Reader.html" target="_self">Reader</a></td><td class="desc">General <a class="el" href="classsinga_1_1io_1_1Reader.html" title="General Reader that provides functions for reading tuples. ">Reader</a> that provides functions for reading tuples </td></tr> |
| <tr id="row_0_1_3_"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1io_1_1TextFileReader.html" target="_self">TextFileReader</a></td><td class="desc"><a class="el" href="classsinga_1_1io_1_1TextFileReader.html" title="TextFileReader reads tuples from CSV file. ">TextFileReader</a> reads tuples from CSV file </td></tr> |
| <tr id="row_0_1_4_" class="even"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1io_1_1TextFileWriter.html" target="_self">TextFileWriter</a></td><td class="desc"><a class="el" href="classsinga_1_1io_1_1TextFileWriter.html" title="TextFileWriter write training/validation/test tuples in CSV file. ">TextFileWriter</a> write training/validation/test tuples in CSV file </td></tr> |
| <tr id="row_0_1_5_"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1io_1_1Writer.html" target="_self">Writer</a></td><td class="desc">General <a class="el" href="classsinga_1_1io_1_1Writer.html" title="General Writer that provides functions for writing tuples. ">Writer</a> that provides functions for writing tuples </td></tr> |
| <tr id="row_0_2_" class="even"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_0_2_" class="arrow" onclick="toggleFolder('0_2_')">▼</span><span class="icona"><span class="icon">N</span></span><b>lang</b></td><td class="desc"></td></tr> |
| <tr id="row_0_2_0_"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structsinga_1_1lang_1_1__Cpp.html" target="_self">_Cpp</a></td><td class="desc">To implemente functions using cpp libraries </td></tr> |
| <tr id="row_0_2_1_" class="even"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structsinga_1_1lang_1_1__Cuda.html" target="_self">_Cuda</a></td><td class="desc">To implemente functions using cuda libraries </td></tr> |
| <tr id="row_0_2_2_"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structsinga_1_1lang_1_1__Opencl.html" target="_self">_Opencl</a></td><td class="desc">To implement function using opencl libraries </td></tr> |
| <tr id="row_0_3_" class="even"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span id="arr_0_3_" class="arrow" onclick="toggleFolder('0_3_')">▼</span><span class="icona"><span class="icon">N</span></span><b>logging</b></td><td class="desc"></td></tr> |
| <tr id="row_0_3_0_"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1logging_1_1CheckOpMessageBuilder.html" target="_self">CheckOpMessageBuilder</a></td><td class="desc"></td></tr> |
| <tr id="row_0_3_1_" class="even"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structsinga_1_1logging_1_1CheckOpString.html" target="_self">CheckOpString</a></td><td class="desc"></td></tr> |
| <tr id="row_0_3_2_"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1logging_1_1LogMessage.html" target="_self">LogMessage</a></td><td class="desc"></td></tr> |
| <tr id="row_0_3_3_" class="even"><td class="entry"><span style="width:48px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1logging_1_1LogMessageFatal.html" target="_self">LogMessageFatal</a></td><td class="desc"></td></tr> |
| <tr id="row_0_4_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structsinga_1_1__Context.html" target="_self">_Context</a></td><td class="desc"></td></tr> |
| <tr id="row_0_5_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1Accuracy.html" target="_self">Accuracy</a></td><td class="desc">Compute the accuray of the prediction, which is matched against the ground truth labels </td></tr> |
| <tr id="row_0_6_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1AdaGrad.html" target="_self">AdaGrad</a></td><td class="desc"></td></tr> |
| <tr id="row_0_7_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1Block.html" target="_self">Block</a></td><td class="desc"><a class="el" href="classsinga_1_1Block.html" title="Block represent a chunk of memory (on device or host). ">Block</a> represent a chunk of memory (on device or host) </td></tr> |
| <tr id="row_0_8_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1Channel.html" target="_self">Channel</a></td><td class="desc"><a class="el" href="classsinga_1_1Channel.html" title="Channel for appending metrics or other information into files or screen. ">Channel</a> for appending metrics or other information into files or screen </td></tr> |
| <tr id="row_0_9_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1ChannelManager.html" target="_self">ChannelManager</a></td><td class="desc"></td></tr> |
| <tr id="row_0_10_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1Constraint.html" target="_self">Constraint</a></td><td class="desc">Apply constraints for parameters (gradient) </td></tr> |
| <tr id="row_0_11_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1CppCPU.html" target="_self">CppCPU</a></td><td class="desc">Represent a CPU device which may have multiple threads/executors </td></tr> |
| <tr id="row_0_12_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1CSVDecoder.html" target="_self">CSVDecoder</a></td><td class="desc">Decode the string of csv formated data into data tensor (dtype is kFloat32) and optionally a label tensor (dtype is kInt) </td></tr> |
| <tr id="row_0_13_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1CSVEncoder.html" target="_self">CSVEncoder</a></td><td class="desc">Convert values from tensors into a csv formated string </td></tr> |
| <tr id="row_0_14_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1Decoder.html" target="_self">Decoder</a></td><td class="desc">The base decoder that converts a string into a set of tensors </td></tr> |
| <tr id="row_0_15_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1Device.html" target="_self">Device</a></td><td class="desc">Allocate memory and execute <a class="el" href="classsinga_1_1Tensor.html" title="A Tensor instance is a multi-dimensional array resident on a Device (default device is the host CPU)...">Tensor</a> operations </td></tr> |
| <tr id="row_0_16_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1DeviceMemPool.html" target="_self">DeviceMemPool</a></td><td class="desc"></td></tr> |
| <tr id="row_0_17_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1Encoder.html" target="_self">Encoder</a></td><td class="desc">Base encoder class that convert a set of tensors into string for storage </td></tr> |
| <tr id="row_0_18_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1FeedForwardNet.html" target="_self">FeedForwardNet</a></td><td class="desc">The feed-forward neural net </td></tr> |
| <tr id="row_0_19_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1ImageTransformer.html" target="_self">ImageTransformer</a></td><td class="desc"></td></tr> |
| <tr id="row_0_20_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1Initializer.html" target="_self">Initializer</a></td><td class="desc"></td></tr> |
| <tr id="row_0_21_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1Layer.html" target="_self">Layer</a></td><td class="desc">The base layer class </td></tr> |
| <tr id="row_0_22_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1LocalUpdater.html" target="_self">LocalUpdater</a></td><td class="desc"><a class="el" href="classsinga_1_1LocalUpdater.html" title="LocalUpdater do gradient aggregation and update gradient calling the wrapped Optimizer on a specific ...">LocalUpdater</a> do gradient aggregation and update gradient calling the wrapped <a class="el" href="classsinga_1_1Optimizer.html" title="The base class for gradient descent algorithms used to update the model parameters in order to optimi...">Optimizer</a> on a specific device (i.e., CPU or GPU) </td></tr> |
| <tr id="row_0_23_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1Loss.html" target="_self">Loss</a></td><td class="desc">The base loss class, which declares the APIs for computing the objective score (loss) for a pair of prediction (from the model) and the target (i.e </td></tr> |
| <tr id="row_0_24_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1Metric.html" target="_self">Metric</a></td><td class="desc">The base metric class, which declares the APIs for computing the performance evaluation metrics given the prediction of the model and the ground truth, i.e., the target </td></tr> |
| <tr id="row_0_25_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1MSE.html" target="_self">MSE</a></td><td class="desc"><a class="el" href="classsinga_1_1MSE.html" title="MSE is for mean squared error or squared euclidean distance. ">MSE</a> is for mean squared error or squared euclidean distance </td></tr> |
| <tr id="row_0_26_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1Nesterov.html" target="_self">Nesterov</a></td><td class="desc"></td></tr> |
| <tr id="row_0_27_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1Optimizer.html" target="_self">Optimizer</a></td><td class="desc">The base class for gradient descent algorithms used to update the model parameters in order to optimize the objective (loss) function </td></tr> |
| <tr id="row_0_28_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1Platform.html" target="_self">Platform</a></td><td class="desc">This class queries all available calculating devices on a given machine grouped according to manufacturer or device drivers </td></tr> |
| <tr id="row_0_29_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1Regularizer.html" target="_self">Regularizer</a></td><td class="desc">Apply regularization for parameters (gradient), e.g., L1 norm and L2 norm </td></tr> |
| <tr id="row_0_30_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1RMSProp.html" target="_self">RMSProp</a></td><td class="desc"></td></tr> |
| <tr id="row_0_31_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1Scheduler.html" target="_self">Scheduler</a></td><td class="desc">Scheduling <a class="el" href="classsinga_1_1Tensor.html" title="A Tensor instance is a multi-dimensional array resident on a Device (default device is the host CPU)...">Tensor</a> operations with dependency detection </td></tr> |
| <tr id="row_0_32_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1SGD.html" target="_self">SGD</a></td><td class="desc"></td></tr> |
| <tr id="row_0_33_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1Snapshot.html" target="_self">Snapshot</a></td><td class="desc">The snapshot management </td></tr> |
| <tr id="row_0_34_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1SoftmaxCrossEntropy.html" target="_self">SoftmaxCrossEntropy</a></td><td class="desc">Softmax + cross entropy for multi-category classification </td></tr> |
| <tr id="row_0_35_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1Tensor.html" target="_self">Tensor</a></td><td class="desc">A <a class="el" href="classsinga_1_1Tensor.html" title="A Tensor instance is a multi-dimensional array resident on a Device (default device is the host CPU)...">Tensor</a> instance is a multi-dimensional array resident on a <a class="el" href="classsinga_1_1Device.html" title="Allocate memory and execute Tensor operations. ">Device</a> (default device is the host CPU) </td></tr> |
| <tr id="row_0_36_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1Timer.html" target="_self">Timer</a></td><td class="desc">For benchmarking the time cost of operations </td></tr> |
| <tr id="row_0_37_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1Tokenizer.html" target="_self">Tokenizer</a></td><td class="desc">Tokenize a string </td></tr> |
| <tr id="row_0_38_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1Transformer.html" target="_self">Transformer</a></td><td class="desc">Base apply class that does data transformations in pre-processing stage </td></tr> |
| <tr id="row_0_39_" class="even"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1Updater.html" target="_self">Updater</a></td><td class="desc">Basic <a class="el" href="classsinga_1_1Updater.html" title="Basic Updater class just forward all the method function call to the wrapped Optimizer. ">Updater</a> class just forward all the method function call to the wrapped <a class="el" href="classsinga_1_1Optimizer.html" title="The base class for gradient descent algorithms used to update the model parameters in order to optimi...">Optimizer</a> </td></tr> |
| <tr id="row_0_40_"><td class="entry"><span style="width:32px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classsinga_1_1VirtualMemory.html" target="_self">VirtualMemory</a></td><td class="desc">Manage device memory pool including garbage collection, memory opt </td></tr> |
| <tr id="row_1_" class="even"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classFactory.html" target="_self">Factory</a></td><td class="desc"><a class="el" href="classFactory.html" title="Factory template to generate class (or a sub-class) object based on id. ">Factory</a> template to generate class (or a sub-class) object based on id </td></tr> |
| <tr id="row_2_"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classPriorityQueue.html" target="_self">PriorityQueue</a></td><td class="desc">Thread safe priority queue </td></tr> |
| <tr id="row_3_" class="even"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classRegistra.html" target="_self">Registra</a></td><td class="desc"></td></tr> |
| <tr id="row_4_"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classSafeQueue.html" target="_self">SafeQueue</a></td><td class="desc">Thread-safe queue </td></tr> |
| <tr id="row_5_" class="even"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="classSingleton.html" target="_self">Singleton</a></td><td class="desc">Thread-safe implementation for C++11 according to </td></tr> |
| <tr id="row_6_"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtinydir__dir.html" target="_self">tinydir_dir</a></td><td class="desc"></td></tr> |
| <tr id="row_7_" class="even"><td class="entry"><span style="width:16px;display:inline-block;"> </span><span class="icona"><span class="icon">C</span></span><a class="el" href="structtinydir__file.html" target="_self">tinydir_file</a></td><td class="desc">Defined(_TINYDIR_MALLOC) </td></tr> |
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