本文整理了Java中org.deeplearning4j.nn.api.Layer.getInputMiniBatchSize()
方法的一些代码示例,展示了Layer.getInputMiniBatchSize()
的具体用法。这些代码示例主要来源于Github
/Stackoverflow
/Maven
等平台,是从一些精选项目中提取出来的代码,具有较强的参考意义,能在一定程度帮忙到你。Layer.getInputMiniBatchSize()
方法的具体详情如下:
包路径:org.deeplearning4j.nn.api.Layer
类名称:Layer
方法名:getInputMiniBatchSize
[英]Get current/last input mini-batch size, as set by setInputMiniBatchSize(int)
[中]获取setInputMiniBatchSize(int)设置的当前/上次输入小批量大小
代码示例来源:origin: org.deeplearning4j/deeplearning4j-nn
@Override
public int getInputMiniBatchSize() {
return insideLayer.getInputMiniBatchSize();
}
代码示例来源:origin: org.deeplearning4j/deeplearning4j-ui-model
private void updateExamplesMinibatchesCounts(Model model) {
ModelInfo modelInfo = getModelInfo(model);
int examplesThisMinibatch = 0;
if (model instanceof MultiLayerNetwork) {
examplesThisMinibatch = ((MultiLayerNetwork) model).batchSize();
} else if (model instanceof ComputationGraph) {
examplesThisMinibatch = ((ComputationGraph) model).batchSize();
} else if (model instanceof Layer) {
examplesThisMinibatch = ((Layer) model).getInputMiniBatchSize();
}
modelInfo.examplesSinceLastReport += examplesThisMinibatch;
modelInfo.totalExamples += examplesThisMinibatch;
modelInfo.minibatchesSinceLastReport++;
modelInfo.totalMinibatches++;
}
代码示例来源:origin: neo4j-contrib/neo4j-ml-procedures
Node node = node("Layer",
"type", layer.type().name(), "index", layer.getIndex(),
"pretrainLayer", layer.isPretrainLayer(), "miniBatchSize", layer.getInputMiniBatchSize(),
"numParams", layer.numParams());
if (layer instanceof DenseLayer) {
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