transformer | 易学教程

How to read and write XML files and treat the comment nodes as text nodes in Java when saving

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问题 I'm reading an XML file in Java retrieved from an external system, then processing it and eventually save it locally and deploy it back. The external system gives me an XML file that contains this node: <customApplications> <label></label> <name>GDPR_Management</name> </customApplications> The problem is the comment node. When I read the file and then just save it, the result looks like this: <customApplications> <label>  </label> <name>GDPR

How to train the self-attention model?

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问题 I understand the whole structure of transformer as in the figure below, but one thing confused me is the bottom of the decoder part which has the input of right-shifting outputs. For example, when training the model with a pair of two language sentences, let's say the input is the sentence "I love you", and the corresponding French is the "je t'aime". How does the model train? So the input of encoder is "I love you", for the decoder, there are two things, one is "je t'aime" which should be

Transformer model not able to be saved

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问题 I'm trying to follow this tutrial https://colab.research.google.com/github/tensorflow/examples/blob/master/community/en/transformer_chatbot.ipynb, However, when I tried to save the model in order to load it again without training I got an error mentioned here NotImplementedError: Layers with arguments in `__init__` must override `get_config` I understood from the answer that I need to make the encoder and decoder as classes and customise it(instead of leaving it as functions like the colab

Ember JS, Error while parsing Data in Transformer handeling event `didCommit` in state root.loaded.updated.uncommitted."

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问题 I am getting an error in an Ember Transformer trying a parse a date in the serialize function. Error message: "Attempted to handle event didCommit on <(subclass of DS.Model):ember1597:8260357> while in state root.loaded.updated.uncommitted." Strangely enough, the data is transmitted correctly parsed to the server. Code: DS.Transform.extend({ deserialize : function(serialized) { var array = []; if (Ember.isArray(serialized)) { serialized.forEach(function(item) { if (item.feldTyp === "DATE

java.lang.NoSuchMethodException: <Class>.<init>(java.lang.String) when copying custom Transformer

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问题 Currently playing with custom tranformers in my spark-shell using both spark 2.0.1 and 2.2.1. While writing a custom ml transformer, in order to add it to a pipeline, I noticed that there is an issue with the override of the copy method. The copy method is called by the fit method of the TrainValidationSplit in my case. The error I get : java.lang.NoSuchMethodException: Custom.<init>(java.lang.String) at java.lang.Class.getConstructor0(Class.java:3082) at java.lang.Class.getConstructor(Class

Indent XML made with Transformer [duplicate]

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问题 This question already has answers here : Pretty-printing output from javax.xml.transform.Transformer with only standard java api (Indentation and Doctype positioning) (4 answers) Closed 2 years ago . I am trying to create XML from Java and am having problems with indenting. In the following code you can see OutputKeys.INDENT set to yes ... //set up a transformer TransformerFactory transfac = TransformerFactory.newInstance(); Transformer trans = transfac.newTransformer(); trans

transformer整理

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介绍 Transformer 是一种基于 encoder-decoder 结构的模型,模型结构如下图所示，在encoder中主要有Multi-Headed Attention和前馈神经网络层组成，decoder 中主要有Multi-Headed Attention、前馈神经网络层和Masked Multi-Headed Attention组成。在 Encoder 中， Input 经过 embedding 后，要做 positional encodings 经过Multi-head attention 再经过 position-wise Feed Forward 每个子层之间有残差连接在 Decoder 中，如上图所示，也有 positional encodings，Multi-head attention 和 FFN，子层之间也要做残差连接，但比 encoder 多了一个 Masked Multi-head attention，最后要经过 Linear 和 softmax 输出概率。 Positional Encoding Positional Encoding 是一种考虑输入序列中单词顺序的方法。 encoder 为每个输入 embedding 添加了一个向量，这些向量符合一种特定模式，可以确定每个单词的位置，或者序列中不同单词之间的距离。计算方式如下：其中 p o s

Save custom transformers in pyspark

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问题 When I implement this part of this python code in Azure Databricks: class clustomTransformations(Transformer): <code> custom_transformer = customTransformations() .... pipeline = Pipeline(stages=[custom_transformer, assembler, scaler, rf]) pipeline_model = pipeline.fit(sample_data) pipeline_model.save(<your path>) When I attempt to save the pipeline, I get this: AttributeError: 'customTransformations' object has no attribute '_to_java' Any work arounds? 回答1: It seems like there is no easy

Java Hibernate Transformer AliasToBeanNestedResultTransformer

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问题 i have a query like this. i pass the student ID i need some fields from Student as well as their parent as well some fields from the parent->Address[here is the main problem i am facing] i am using AliasToBeanNestedResultTransformer transformer by Sami Andoni here is the implementation of it CODE here is my code. public List<Student>searchForStudent(Integer studentId) { Projection p=Projections.projectionList().create() .add(Projections.property("name"),"name")//the student name it works O.K

gcc ON arm/android

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问题 I just got a EEE pad transformer. Like any hardware I own I'd like to have a C compiler on it. I know I can cross compile, but I'd like to do development ON the device itself. I've searched google and all I can seem to find are pages on how to build an arm toolchain for x86/64 Linux. Thoughts? 回答1: The process of building gcc (et al.) to run on your target should be similar to building a cross-compiler, excepting that you will: need to have an ARM cross compiler that runs on your, for example