小编Ann*_*nna的帖子

我有简单的seq2seq模型：

import seq2seq
import numpy as np
import keras.backend as K

from seq2seq.models import Seq2Seq
from keras.models import Model
from keras.models import Sequential
from keras.layers import Embedding, Input, TimeDistributed, Activation

BLOCK_LEN = 60
EVENTS_CNT = 462

input = Input((BLOCK_LEN,))
embedded = Embedding(input_dim=EVENTS_CNT+1, output_dim=200)(input)
emb_model = Model(input, embedded)

seq_model = Seq2Seq(batch_input_shape=(None, BLOCK_LEN, 200), hidden_dim=200, output_length=BLOCK_LEN, output_dim=EVENTS_CNT)
model = Sequential()
model.add(emb_model)
model.add(seq_model)
model.add(TimeDistributed(Activation('softmax')))

model.summary()
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
model_1 (Model)              (None, 60, 200)           92600     
_________________________________________________________________
model_12 (Model)             (None, …

我开始学习Spring Boot，但遇到了问题。我有以下代码：

@RestController
public class UserController {

    @RequestMapping("/")
    public String getMessageInfo(Message message) {
        return "Id is " + message.getId() + ", message is " + message.getMessage() + ", parameter good is " + message.isGood();
    }
}

类消息：

public class Message {
    private String message;
    private int id;
    private boolean good;

    public Message() {}

    public Message(int id) {this.id = id;}

    public Message(String message) {this.message = message;}

    public Message(boolean good) {this.good = good;}

    public Message(String message, boolean good, int id) {
        this.message …

你能解释一下我之间的区别吗？

i.compareAndSet(i.get(), i.get() + 1)

和

int s = i.get();
int nextS = s + 1;
i.compareAndSet(s, nextS);

这里i是一个AtomicInteger.我是对的,如果我想获得增量值,第一种方式是错误的i吗？但我无法解释原因.