可序列化性 java Matlab

Question

我使用用 Java javaplex [https://github.com/javaplex/javaplex.github.io][1]

编写的工具箱

输入矩阵 mat [https://drive.google.com/file/d/0B3uM9Np2kJYoTmtkRHV2WU5JeGc/view?usp=sharing][3] 的 link 第一个运行良好的循环是 for

cd C:\ProjetBCodesMatlab\Jplex
javaaddpath('./lib/javaplex.jar');
import edu.stanford.math.plex4.*;

javaaddpath('./lib/plex-viewer.jar');
import edu.stanford.math.plex_viewer.*;

cd './utility';
addpath(pwd);
cd '..';

max_dimension = 3; 
max_filtration_value = 1000; 
num_divisions = 10000;
options.max_filtration_value = max_filtration_value;
options.max_dimension = max_dimension - 1;

%------------------------------------------------------------
for i=1:10
         maColonne = mat(i,:); 
         intervals= Calcul_interval(maColonne,options,max_dimension, max_filtration_value, num_divisions)
         intervals 
         multinterval{i}= intervals;    
 end

我在执行功能feature('numCores')时使用了I7;

MATLAB detected: 4 physical cores.
MATLAB detected: 8 logical cores.
MATLAB was assigned: 8 logical cores by the OS.
MATLAB is using: 4 logical cores.
MATLAB is not using all logical cores because hyper-threading is enabled.

我运行与parfor相同的代码

cd C:\ProjetBCodesMatlab\Jplex
javaaddpath('./lib/javaplex.jar');
import edu.stanford.math.plex4.*;

javaaddpath('./lib/plex-viewer.jar');
import edu.stanford.math.plex_viewer.*;

cd './utility';
addpath(pwd);
cd '..';

max_dimension = 3; 
max_filtration_value = 1000; 
num_divisions = 10000;
options.max_filtration_value = max_filtration_value;
options.max_dimension = max_dimension - 1;

%------------------------------------------------------------
parfor i=1:10
         maColonne = mat(i,:); 
         intervals= Calcul_interval(maColonne,options,max_dimension, max_filtration_value, num_divisions)
         intervals 
         multinterval{i}= intervals;    
 end

我有这个错误：不可序列化。

Answer 1

终于转载了。它无法序列化，因为您的变量 intervals 持有一个类型为 edu.stanford.math.plex4.homology.barcodes.BarcodeCollection 的对象，该对象不可序列化。您必须使其可序列化或提取有关工人的相关数据。并行计算工具箱只能传输可以序列化的数据。

可序列化性 java Matlab

serializability java Matlab

java

parallel-processing

matlab

serialization

parfor