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com.aliyun.openservices.eas.predict.request.BladeRequest Maven / Gradle / Ivy
package com.aliyun.openservices.eas.predict.request;
import com.aliyun.openservices.eas.predict.proto.BladeProtos.DataType;
import com.aliyun.openservices.eas.predict.proto.BladeProtos.Shape;
import com.aliyun.openservices.eas.predict.proto.BladeProtos.Array;
import com.aliyun.openservices.eas.predict.proto.BladeProtos.OutputInfo;
import com.aliyun.openservices.eas.predict.proto.BladeProtos.Request;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import shade.blade.protobuf.ByteString;
/**
* Created by evanlu.lyf on 2019/10/14.
*/
public class BladeRequest {
private Request.Builder request = Request.newBuilder();
private static Log log = LogFactory.getLog(BladeRequest.class);
public void setSignatureName(String signatureName) {
request.setTfSignatureName(signatureName);
}
private void fillFloatTypeContent(float[] content, long volume, Array.Builder requestArray) {
for (int i = 0; i < volume; ++i) {
requestArray.addFloatVal(content[i]);
}
}
private void fillInt32TypeContent(int[] content, long volume, Array.Builder requestArray) {
for (int i = 0; i < volume; ++i) {
requestArray.addIntVal(content[i]);
}
}
private void fillInt64TypeContent(long[] content, long volume, Array.Builder requestArray) {
for (int i = 0; i < volume; ++i) {
requestArray.addInt64Val(content[i]);
}
}
private void fillStringTypeContent(byte[] content, long volume, Array.Builder requestArray) {
for (int i = 0; i < volume; ++i) {
requestArray.addStringVal(ByteString.copyFromUtf8(content.toString()));
}
}
private long getVolumeAndSetArrayShape(int batchSize, long[] shape, Shape.Builder arrayShape) {
if (batchSize <= 0) {
log.error("call addFeed Error: got invalid batch size " + batchSize);
throw new RuntimeException("call addFeed Error: got invalid batch size " + batchSize);
}
long volume = 1;
for (int i = 0; i < shape.length; ++i) {
volume *= shape[i];
arrayShape.addDim(shape[i]);
}
return volume;
}
private long makeArrayBuilderAndReturnVolume(Array.Builder requestArray, long contentLen, int batchSize,
long [] shape, String nameInDlModel) {
Shape.Builder arrayShape = Shape.newBuilder();
long volume = getVolumeAndSetArrayShape(batchSize, shape, arrayShape);
if (contentLen < volume) {
log.error("call addFeed Error: array length should be larger than flattern size of shape");
throw new RuntimeException("call addFeed Error: array length should be larger than flattern size of shape");
}
requestArray.mergeShape(arrayShape.build());
requestArray.setNameInDlModel(nameInDlModel);
requestArray.setBatchsize(batchSize);
return volume;
}
private long makeArrayBuilderAndReturnVolume(Array.Builder requestArray, long contentLen, int batchSize,
long [] shape, String bladeBlobName, String nameInDlModel) {
Shape.Builder arrayShape = Shape.newBuilder();
long volume = getVolumeAndSetArrayShape(batchSize, shape, arrayShape);
if (contentLen < volume) {
log.error("call addFeed Error: array length should be larger than flattern size of shape");
throw new RuntimeException("call addFeed Error: array length should be larger than flattern size of shape");
}
requestArray.mergeShape(arrayShape.build());
requestArray.setBladeBlobName(bladeBlobName);
requestArray.setNameInDlModel(nameInDlModel);
requestArray.setBatchsize(batchSize);
return volume;
}
/**
* add float typed feed
*/
public void addFeed(float[] content, long[] shape, String nameInDlModel) {
Array.Builder requestArray = Array.newBuilder();
int batchSize = (int) shape[0];
long volume = makeArrayBuilderAndReturnVolume(requestArray, content.length, batchSize, shape, nameInDlModel);
fillFloatTypeContent(content, volume, requestArray);
request.addInputs(requestArray.build());
}
public void addFeed(float[] content, int batchSize, long[] shape, String nameInDlModel) {
Array.Builder requestArray = Array.newBuilder();
long volume = makeArrayBuilderAndReturnVolume(requestArray, content.length, batchSize, shape, nameInDlModel);
fillFloatTypeContent(content, volume, requestArray);
request.addInputs(requestArray.build());
}
public void addFeed(float[] content, int batchSize, long[] shape, String bladeBlobName, String nameInDlModel) {
Array.Builder requestArray = Array.newBuilder();
long volume = makeArrayBuilderAndReturnVolume(requestArray, content.length, batchSize, shape, bladeBlobName, nameInDlModel);
fillFloatTypeContent(content, volume, requestArray);
request.addInputs(requestArray.build());
}
/**
* support EAS default addFeed API
*/
public void addFeed(String nameInDlModel, BladeDataType dataType, long[] shape, float[] content) {
if (dataType != BladeDataType.DT_FLOAT) {
log.error("call addFeed Error: BladeDataType and content mis-match.");
throw new RuntimeException("call addFeed Error: BladeDataType and content mis-match.");
}
Array.Builder requestArray = Array.newBuilder();
int batchSize = (int) shape[0];
long volume = makeArrayBuilderAndReturnVolume(requestArray, content.length, batchSize, shape, nameInDlModel);
fillFloatTypeContent(content, volume, requestArray);
request.addInputs(requestArray.build());
}
/**
* add int typed feed
*/
public void addFeed(int[] content, long[] shape, String nameInDlModel) {
Array.Builder requestArray = Array.newBuilder();
int batchSize = (int) shape[0];
long volume = makeArrayBuilderAndReturnVolume(requestArray, content.length, batchSize, shape, nameInDlModel);
fillInt32TypeContent(content, volume, requestArray);
request.addInputs(requestArray.build());
}
public void addFeed(int[] content, int batchSize, long[] shape, String nameInDlModel) {
Array.Builder requestArray = Array.newBuilder();
long volume = makeArrayBuilderAndReturnVolume(requestArray, content.length, batchSize, shape, nameInDlModel);
fillInt32TypeContent(content, volume, requestArray);
request.addInputs(requestArray.build());
}
public void addFeed(int[] content, int batchSize, long[] shape, String bladeBlobName, String nameInDlModel) {
Array.Builder requestArray = Array.newBuilder();
long volume = makeArrayBuilderAndReturnVolume(requestArray, content.length, batchSize, shape, bladeBlobName, nameInDlModel);
fillInt32TypeContent(content, volume, requestArray);
request.addInputs(requestArray.build());
}
/**
* support EAS default addFeed API
*/
public void addFeed(String nameInDlModel, BladeDataType dataType, long[] shape, int[] content) {
if (dataType != BladeDataType.DT_INT32) {
log.error("call addFeed Error: BladeDataType and content mis-match.");
throw new RuntimeException("call addFeed Error: BladeDataType and content mis-match.");
}
Array.Builder requestArray = Array.newBuilder();
int batchSize = (int) shape[0];
long volume = makeArrayBuilderAndReturnVolume(requestArray, content.length, batchSize, shape, nameInDlModel);
fillInt32TypeContent(content, volume, requestArray);
request.addInputs(requestArray.build());
}
/**
* add long typed feed
*/
public void addFeed(long[] content, long[] shape, String nameInDlModel) {
Array.Builder requestArray = Array.newBuilder();
int batchSize = (int) shape[0];
long volume = makeArrayBuilderAndReturnVolume(requestArray, content.length, batchSize, shape, nameInDlModel);
fillInt64TypeContent(content, volume, requestArray);
request.addInputs(requestArray.build());
}
public void addFeed(long[] content, int batchSize, long[] shape, String nameInDlModel) {
Array.Builder requestArray = Array.newBuilder();
long volume = makeArrayBuilderAndReturnVolume(requestArray, content.length, batchSize, shape, nameInDlModel);
fillInt64TypeContent(content, volume, requestArray);
request.addInputs(requestArray.build());
}
public void addFeed(long[] content, int batchSize, long[] shape, String bladeBlobName, String nameInDlModel) {
Array.Builder requestArray = Array.newBuilder();
long volume = makeArrayBuilderAndReturnVolume(requestArray, content.length, batchSize, shape, bladeBlobName, nameInDlModel);
fillInt64TypeContent(content, volume, requestArray);
request.addInputs(requestArray.build());
}
/**
* support EAS default addFeed API
*/
public void addFeed(String nameInDlModel, BladeDataType dataType, long[] shape, long[] content) {
if (dataType != BladeDataType.DT_INT64) {
log.error("call addFeed Error: BladeDataType and content mis-match.");
throw new RuntimeException("call addFeed Error: BladeDataType and content mis-match.");
}
Array.Builder requestArray = Array.newBuilder();
int batchSize = (int) shape[0];
long volume = makeArrayBuilderAndReturnVolume(requestArray, content.length, batchSize, shape, nameInDlModel);
fillInt64TypeContent(content, volume, requestArray);
request.addInputs(requestArray.build());
}
/**
* add string typed feed
*/
public void addFeed(byte[] content, long[] shape, String nameInDlModel) {
Array.Builder requestArray = Array.newBuilder();
int batchSize = (int) shape[0];
long volume = makeArrayBuilderAndReturnVolume(requestArray, content.length, batchSize, shape, nameInDlModel);
fillStringTypeContent(content, volume, requestArray);
request.addInputs(requestArray.build());
}
public void addFeed(byte[] content, int batchSize, long[] shape, String nameInDlModel) {
Array.Builder requestArray = Array.newBuilder();
long volume = makeArrayBuilderAndReturnVolume(requestArray, content.length, batchSize, shape, nameInDlModel);
fillStringTypeContent(content, volume, requestArray);
request.addInputs(requestArray.build());
}
public void addFeed(byte[] content, int batchSize, long[] shape, String bladeBlobName, String nameInDlModel) {
Array.Builder requestArray = Array.newBuilder();
long volume = makeArrayBuilderAndReturnVolume(requestArray, content.length, batchSize, shape, bladeBlobName, nameInDlModel);
fillStringTypeContent(content, volume, requestArray);
request.addInputs(requestArray.build());
}
/**
* support EAS default addFeed API
*/
public void addFeed(String nameInDlModel, BladeDataType dataType, long[] shape, byte[] content) {
if (dataType != BladeDataType.DT_STRING) {
log.error("call addFeed Error: BladeDataType and content mis-match.");
throw new RuntimeException("call addFeed Error: BladeDataType and content mis-match.");
}
Array.Builder requestArray = Array.newBuilder();
int batchSize = (int) shape[0];
long volume = makeArrayBuilderAndReturnVolume(requestArray, content.length, batchSize, shape, nameInDlModel);
fillStringTypeContent(content, volume, requestArray);
request.addInputs(requestArray.build());
}
/**
* add Fetch by name
*/
public void addFetch(String nameInDlmodel) {
OutputInfo.Builder outputInfo = OutputInfo.newBuilder();
outputInfo.setNameInDlModel(nameInDlmodel);
outputInfo.setDataType(DataType.DT_UNKNOWN);
request.addOutputInfo(outputInfo.build());
}
public void addFetch(String bladeBlobName, String nameInDlmodel) {
OutputInfo.Builder outputInfo = OutputInfo.newBuilder();
outputInfo.setBladeBlobName(bladeBlobName);
outputInfo.setNameInDlModel(nameInDlmodel);
outputInfo.setDataType(DataType.DT_UNKNOWN);
request.addOutputInfo(outputInfo.build());
}
public void addFetch(String nameInDlmodel, BladeDataType dataType) {
OutputInfo.Builder outputInfo = OutputInfo.newBuilder();
outputInfo.setNameInDlModel(nameInDlmodel);
if (dataType == BladeDataType.DT_UNKNOWN) {
outputInfo.setDataType(DataType.DT_UNKNOWN);
}
else if (dataType == BladeDataType.DT_FLOAT) {
outputInfo.setDataType(DataType.DT_FLOAT);
}
else if (dataType == BladeDataType.DT_INT32) {
outputInfo.setDataType(DataType.DT_INT32);
}
else if (dataType == BladeDataType.DT_INT64) {
outputInfo.setDataType(DataType.DT_INT64);
}
else if (dataType == BladeDataType.DT_STRING) {
outputInfo.setDataType(DataType.DT_STRING);
}
else {
log.error("call addFeed Error: got invalid output DataType");
throw new RuntimeException("call addFeed Error: got invalid output DataType");
}
request.addOutputInfo(outputInfo.build());
}
public void addFetch(String bladeBlobName, String nameInDlmodel, BladeDataType dataType) {
OutputInfo.Builder outputInfo = OutputInfo.newBuilder();
outputInfo.setBladeBlobName(bladeBlobName);
outputInfo.setNameInDlModel(nameInDlmodel);
if (dataType == BladeDataType.DT_UNKNOWN) {
outputInfo.setDataType(DataType.DT_UNKNOWN);
}
else if (dataType == BladeDataType.DT_FLOAT) {
outputInfo.setDataType(DataType.DT_FLOAT);
}
else if (dataType == BladeDataType.DT_INT32) {
outputInfo.setDataType(DataType.DT_INT32);
}
else if (dataType == BladeDataType.DT_INT64) {
outputInfo.setDataType(DataType.DT_INT64);
}
else if (dataType == BladeDataType.DT_STRING) {
outputInfo.setDataType(DataType.DT_STRING);
}
else {
log.error("call addFeed Error: got invalid output DataType");
throw new RuntimeException("call addFeed Error: got invalid output DataType");
}
request.addOutputInfo(outputInfo.build());
}
public Request getRequest() {
return request.build();
}
}
