forked from mindspore-Ecosystem/mindspore
!20104 fix bug of albert task in case PWEcrypt for master
Merge pull request !20104 from zhoushan33/flclient0712_om_master
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commit
9924825a70
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@ -112,7 +112,12 @@ public class FLLiteClient {
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prime[i] = (byte) cipherPublicParams.prime(i);
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}
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LOGGER.info(Common.addTag("[startFLJob] GlobalParameters <minSecretNum> from server: " + minSecretNum));
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if (minSecretNum <= 0) {
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LOGGER.info(Common.addTag("[startFLJob] GlobalParameters <minSecretNum> from server is not valid: <=0"));
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return -1;
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}
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LOGGER.info(Common.addTag("[Encrypt] the prime from server: " + BaseUtil.byte2HexString(prime)));
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break;
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case DP_ENCRYPT:
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dpEps = cipherPublicParams.dpEps();
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dpDelta = cipherPublicParams.dpDelta();
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@ -233,7 +238,7 @@ public class FLLiteClient {
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status = FLClientStatus.SUCCESS;
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retCode = ResponseCode.SUCCEED;
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if (flParameter.getFlName().equals(ALBERT)) {
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LOGGER.info(Common.addTag("[train] train in adbert"));
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LOGGER.info(Common.addTag("[train] train in albert"));
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AlTrainBert alTrainBert = AlTrainBert.getInstance();
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int tag = alTrainBert.trainModel(flParameter.getTrainModelPath(), epochs);
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if (tag == -1) {
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@ -17,6 +17,8 @@ package com.mindspore.flclient;
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import java.util.logging.Logger;
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import static com.mindspore.flclient.LocalFLParameter.ALBERT;
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public class FLParameter {
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private static final Logger LOGGER = Logger.getLogger(FLParameter.class.toString());
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@ -119,7 +121,7 @@ public class FLParameter {
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}
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public String getVocabFile() {
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if ("null".equals(vocabFile) && "adbert".equals(flName)) {
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if ("null".equals(vocabFile) && ALBERT.equals(flName)) {
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LOGGER.severe(Common.addTag("[flParameter] the parameter of <vocabFile> is null, please set it before use"));
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throw new RuntimeException();
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}
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@ -137,7 +139,7 @@ public class FLParameter {
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}
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public String getIdsFile() {
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if ("null".equals(idsFile) && "adbert".equals(flName)) {
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if ("null".equals(idsFile) && ALBERT.equals(flName)) {
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LOGGER.severe(Common.addTag("[flParameter] the parameter of <idsFile> is null, please set it before use"));
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throw new RuntimeException();
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}
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@ -96,7 +96,7 @@ public class GetModel {
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private FLClientStatus parseResponseAlbert(ResponseGetModel responseDataBuf) {
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int fmCount = responseDataBuf.featureMapLength();
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if (localFLParameter.getServerMod().equals(ServerMod.HYBRID_TRAINING.toString())) {
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LOGGER.info(Common.addTag("[getModel] into <parseResponseAdbert>"));
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LOGGER.info(Common.addTag("[getModel] into <parseResponseAlbert>"));
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ArrayList<FeatureMap> albertFeatureMaps = new ArrayList<FeatureMap>();
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ArrayList<FeatureMap> inferFeatureMaps = new ArrayList<FeatureMap>();
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for (int i = 0; i < fmCount; i++) {
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@ -28,6 +28,9 @@ import java.util.Map;
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import java.util.Random;
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import java.util.logging.Logger;
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import static com.mindspore.flclient.LocalFLParameter.ALBERT;
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import static com.mindspore.flclient.LocalFLParameter.LENET;
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public class SecureProtocol {
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private static final Logger LOGGER = Logger.getLogger(SecureProtocol.class.toString());
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private FLParameter flParameter = FLParameter.getInstance();
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@ -35,7 +38,7 @@ public class SecureProtocol {
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private int iteration;
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private CipherClient cipher;
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private FLClientStatus status;
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private float[] featureMask;
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private float[] featureMask = new float[0];
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private double dpEps;
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private double dpDelta;
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private double dpNormClip;
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@ -126,13 +129,17 @@ public class SecureProtocol {
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}
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public int[] pwMaskModel(FlatBufferBuilder builder, int trainDataSize) {
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if (featureMask == null || featureMask.length == 0) {
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LOGGER.severe("[Encrypt] feature mask is null, please check");
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return new int[0];
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}
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LOGGER.info("[Encrypt] feature mask size: " + featureMask.length);
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// get feature map
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Map<String, float[]> map = new HashMap<String, float[]>();
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if (flParameter.getFlName().equals("adbert")) {
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if (flParameter.getFlName().equals(ALBERT)) {
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AlTrainBert alTrainBert = AlTrainBert.getInstance();
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map = SessionUtil.convertTensorToFeatures(SessionUtil.getFeatures(alTrainBert.getTrainSession()));
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} else if (flParameter.getFlName().equals("lenet")) {
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} else if (flParameter.getFlName().equals(LENET)) {
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TrainLenet trainLenet = TrainLenet.getInstance();
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map = SessionUtil.convertTensorToFeatures(SessionUtil.getFeatures(trainLenet.getTrainSession()));
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}
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@ -266,10 +273,10 @@ public class SecureProtocol {
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public int[] dpMaskModel(FlatBufferBuilder builder, int trainDataSize) {
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// get feature map
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Map<String, float[]> map = new HashMap<String, float[]>();
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if (flParameter.getFlName().equals("adbert")) {
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if (flParameter.getFlName().equals(ALBERT)) {
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AlTrainBert alTrainBert = AlTrainBert.getInstance();
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map = SessionUtil.convertTensorToFeatures(SessionUtil.getFeatures(alTrainBert.getTrainSession()));
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} else if (flParameter.getFlName().equals("lenet")) {
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} else if (flParameter.getFlName().equals(LENET)) {
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TrainLenet trainLenet = TrainLenet.getInstance();
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map = SessionUtil.convertTensorToFeatures(SessionUtil.getFeatures(trainLenet.getTrainSession()));
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}
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@ -365,7 +365,7 @@ public class SyncFLJob {
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SyncFLJob syncFLJob = new SyncFLJob();
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if (task.equals("train")) {
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flParameter.setUseHttps(useHttps);
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if (useHttps) {
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if (useSSL) {
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flParameter.setCertPath(certPath);
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}
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flParameter.setHostName(ip);
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@ -396,7 +396,7 @@ public class SyncFLJob {
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syncFLJob.modelInference();
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} else if (task.equals("getModel")) {
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flParameter.setUseHttps(useHttps);
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if (useHttps) {
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if (useSSL) {
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flParameter.setCertPath(certPath);
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}
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flParameter.setHostName(ip);
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@ -82,20 +82,30 @@ public class UpdateModel {
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case PW_ENCRYPT:
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try {
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int[] fmOffsetsPW = secureProtocol.pwMaskModel(builder, trainDataSize);
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if (fmOffsetsPW == null || fmOffsetsPW.length == 0) {
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LOGGER.severe("[Encrypt] the return fmOffsetsPW from <secureProtocol.pwMaskModel> is null, please check");
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throw new RuntimeException();
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}
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this.fmOffset = RequestUpdateModel.createFeatureMapVector(builder, fmOffsetsPW);
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LOGGER.info(Common.addTag("[Encrypt] pairwise mask model ok!"));
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return this;
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} catch (Exception e) {
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LOGGER.severe("[Encrypt] catch error in maskModel: catch Exception");
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LOGGER.severe("[Encrypt] catch error in maskModel: " + e.getMessage());
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throw new RuntimeException();
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}
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case DP_ENCRYPT:
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try {
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int[] fmOffsetsPW = secureProtocol.dpMaskModel(builder, trainDataSize);
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this.fmOffset = RequestUpdateModel.createFeatureMapVector(builder, fmOffsetsPW);
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int[] fmOffsetsDP = secureProtocol.dpMaskModel(builder, trainDataSize);
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if (fmOffsetsDP == null || fmOffsetsDP.length == 0) {
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LOGGER.severe("[Encrypt] the return fmOffsetsDP from <secureProtocol.dpMaskModel> is null, please check");
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throw new RuntimeException();
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}
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this.fmOffset = RequestUpdateModel.createFeatureMapVector(builder, fmOffsetsDP);
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LOGGER.info(Common.addTag("[Encrypt] DP mask model ok!"));
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return this;
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} catch (Exception e) {
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LOGGER.severe(Common.addTag("[Encrypt] catch error in maskModel: " + e.getMessage()));
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throw new RuntimeException();
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}
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case NOT_ENCRYPT:
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default:
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