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Add cross encoder support (opensearch-project#1615)
* add text similarity inputs and function name Signed-off-by: HenryL27 <hmlindeman@yahoo.com> * add text similarity cross encoder model Signed-off-by: HenryL27 <hmlindeman@yahoo.com> * add text similarity unit tests Signed-off-by: HenryL27 <hmlindeman@yahoo.com> * add text similarity input unittests Signed-off-by: HenryL27 <hmlindeman@yahoo.com> * add text similarity dataset unittests Signed-off-by: HenryL27 <hmlindeman@yahoo.com> * add function name annotation Signed-off-by: HenryL27 <hmlindeman@yahoo.com> * refactor API to use single query Signed-off-by: HenryL27 <hmlindeman@yahoo.com> * omit private from class vars Co-authored-by: Navneet Verma <vermanavneet003@gmail.com> Signed-off-by: HenryL27 <hmlindeman@yahoo.com> * change output name from logits to similarity Signed-off-by: HenryL27 <hmlindeman@yahoo.com> * hashify isDLModel Signed-off-by: HenryL27 <hmlindeman@yahoo.com> * add error message for non-torchscript cross encoders Signed-off-by: HenryL27 <hmlindeman@yahoo.com> * allow onnx, actually. Signed-off-by: HenryL27 <hmlindeman@yahoo.com> * apply spotless after rebase Signed-off-by: HenryL27 <hmlindeman@yahoo.com> * add unittest for new mlinput toXcontent clause Signed-off-by: HenryL27 <hmlindeman@yahoo.com> * static DLModels Signed-off-by: HenryL27 <hmlindeman@yahoo.com> * add tests and error message tweaks Signed-off-by: HenryL27 <hmlindeman@yahoo.com> * name test models w framework Signed-off-by: HenryL27 <hmlindeman@yahoo.com> * change pt->torch_script Signed-off-by: HenryL27 <hmlindeman@yahoo.com> --------- Signed-off-by: HenryL27 <hmlindeman@yahoo.com> Co-authored-by: Navneet Verma <vermanavneet003@gmail.com>
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@@ -9,5 +9,6 @@ public enum MLInputDataType { | |
SEARCH_QUERY, | ||
DATA_FRAME, | ||
TEXT_DOCS, | ||
TEXT_SIMILARITY, | ||
REMOTE | ||
} |
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75
common/src/main/java/org/opensearch/ml/common/dataset/TextSimilarityInputDataSet.java
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/* | ||
* Copyright 2023 Aryn | ||
* Copyright OpenSearch Contributors | ||
* SPDX-License-Identifier: Apache-2.0 | ||
* | ||
* Licensed under the Apache License, Version 2.0 (the "License"); | ||
* you may not use this file except in compliance with the License. | ||
* You may obtain a copy of the License at | ||
* | ||
* http://www.apache.org/licenses/LICENSE-2.0 | ||
* | ||
* Unless required by applicable law or agreed to in writing, software | ||
* distributed under the License is distributed on an "AS IS" BASIS, | ||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
* See the License for the specific language governing permissions and | ||
* limitations under the License. | ||
*/ | ||
package org.opensearch.ml.common.dataset; | ||
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import java.io.IOException; | ||
import java.util.ArrayList; | ||
import java.util.List; | ||
import java.util.Objects; | ||
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import org.opensearch.core.common.io.stream.StreamInput; | ||
import org.opensearch.core.common.io.stream.StreamOutput; | ||
import org.opensearch.ml.common.annotation.InputDataSet; | ||
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import lombok.AccessLevel; | ||
import lombok.Builder; | ||
import lombok.Getter; | ||
import lombok.experimental.FieldDefaults; | ||
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@Getter | ||
@FieldDefaults(makeFinal = true, level = AccessLevel.PRIVATE) | ||
@InputDataSet(MLInputDataType.TEXT_SIMILARITY) | ||
public class TextSimilarityInputDataSet extends MLInputDataset { | ||
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List<String> textDocs; | ||
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String queryText; | ||
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@Builder(toBuilder = true) | ||
public TextSimilarityInputDataSet(String queryText, List<String> textDocs) { | ||
super(MLInputDataType.TEXT_SIMILARITY); | ||
Objects.requireNonNull(textDocs); | ||
Objects.requireNonNull(queryText); | ||
if(textDocs.isEmpty()) { | ||
throw new IllegalArgumentException("No text documents were provided"); | ||
} | ||
this.textDocs = textDocs; | ||
this.queryText = queryText; | ||
} | ||
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public TextSimilarityInputDataSet(StreamInput in) throws IOException { | ||
super(MLInputDataType.TEXT_SIMILARITY); | ||
this.queryText = in.readString(); | ||
int size = in.readInt(); | ||
this.textDocs = new ArrayList<String>(); | ||
for(int i = 0; i < size; i++) { | ||
String context = in.readString(); | ||
this.textDocs.add(context); | ||
} | ||
} | ||
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@Override | ||
public void writeTo(StreamOutput out) throws IOException { | ||
super.writeTo(out); | ||
out.writeString(queryText); | ||
out.writeInt(this.textDocs.size()); | ||
for (String doc : this.textDocs) { | ||
out.writeString(doc); | ||
} | ||
} | ||
} |
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116 changes: 116 additions & 0 deletions
116
common/src/main/java/org/opensearch/ml/common/input/nlp/TextSimilarityMLInput.java
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/* | ||
* Copyright 2023 Aryn | ||
* Copyright OpenSearch Contributors | ||
* SPDX-License-Identifier: Apache-2.0 | ||
* | ||
* Licensed under the Apache License, Version 2.0 (the "License"); | ||
* you may not use this file except in compliance with the License. | ||
* You may obtain a copy of the License at | ||
* | ||
* http://www.apache.org/licenses/LICENSE-2.0 | ||
* | ||
* Unless required by applicable law or agreed to in writing, software | ||
* distributed under the License is distributed on an "AS IS" BASIS, | ||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
* See the License for the specific language governing permissions and | ||
* limitations under the License. | ||
*/ | ||
package org.opensearch.ml.common.input.nlp; | ||
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import java.io.IOException; | ||
import java.util.ArrayList; | ||
import java.util.List; | ||
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import org.opensearch.core.common.io.stream.StreamInput; | ||
import org.opensearch.core.common.io.stream.StreamOutput; | ||
import org.opensearch.core.xcontent.XContentBuilder; | ||
import org.opensearch.core.xcontent.XContentParser; | ||
import org.opensearch.ml.common.FunctionName; | ||
import org.opensearch.ml.common.dataset.MLInputDataset; | ||
import org.opensearch.ml.common.dataset.TextSimilarityInputDataSet; | ||
import org.opensearch.ml.common.input.MLInput; | ||
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import static org.opensearch.core.xcontent.XContentParserUtils.ensureExpectedToken; | ||
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/** | ||
* MLInput which supports a text similarity algorithm | ||
* Inputs are a query and a list of texts. Outputs are real numbers | ||
* Use this for Cross Encoder models | ||
*/ | ||
@org.opensearch.ml.common.annotation.MLInput(functionNames = {FunctionName.TEXT_SIMILARITY}) | ||
public class TextSimilarityMLInput extends MLInput { | ||
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public TextSimilarityMLInput(FunctionName algorithm, MLInputDataset dataset) { | ||
super(algorithm, null, dataset); | ||
} | ||
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public TextSimilarityMLInput(StreamInput in) throws IOException { | ||
super(in); | ||
} | ||
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@Override | ||
public void writeTo(StreamOutput out) throws IOException { | ||
super.writeTo(out); | ||
} | ||
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@Override | ||
public XContentBuilder toXContent(XContentBuilder builder, Params params) throws IOException { | ||
builder.startObject(); | ||
builder.field(ALGORITHM_FIELD, algorithm.name()); | ||
if(parameters != null) { | ||
builder.field(ML_PARAMETERS_FIELD, parameters); | ||
} | ||
if(inputDataset != null) { | ||
TextSimilarityInputDataSet ds = (TextSimilarityInputDataSet) this.inputDataset; | ||
List<String> docs = ds.getTextDocs(); | ||
String queryText = ds.getQueryText(); | ||
builder.field(QUERY_TEXT_FIELD, queryText); | ||
if (docs != null && !docs.isEmpty()) { | ||
builder.startArray(TEXT_DOCS_FIELD); | ||
for(String d : docs) { | ||
builder.value(d); | ||
} | ||
builder.endArray(); | ||
} | ||
} | ||
builder.endObject(); | ||
return builder; | ||
} | ||
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public TextSimilarityMLInput(XContentParser parser, FunctionName functionName) throws IOException { | ||
super(); | ||
this.algorithm = functionName; | ||
List<String> docs = new ArrayList<>(); | ||
String queryText = null; | ||
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ensureExpectedToken(XContentParser.Token.START_OBJECT, parser.currentToken(), parser); | ||
while (parser.nextToken() != XContentParser.Token.END_OBJECT) { | ||
String fieldName = parser.currentName(); | ||
parser.nextToken(); | ||
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switch (fieldName) { | ||
case TEXT_DOCS_FIELD: | ||
ensureExpectedToken(XContentParser.Token.START_ARRAY, parser.currentToken(), parser); | ||
while (parser.nextToken() != XContentParser.Token.END_ARRAY) { | ||
String context = parser.text(); | ||
docs.add(context); | ||
} | ||
break; | ||
case QUERY_TEXT_FIELD: | ||
queryText = parser.text(); | ||
default: | ||
parser.skipChildren(); | ||
break; | ||
} | ||
} | ||
if(docs.isEmpty()) { | ||
throw new IllegalArgumentException("No text documents were provided"); | ||
} | ||
if(queryText == null) { | ||
throw new IllegalArgumentException("No query text was provided"); | ||
} | ||
inputDataset = new TextSimilarityInputDataSet(queryText, docs); | ||
} | ||
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} |
65 changes: 65 additions & 0 deletions
65
common/src/test/java/org/opensearch/ml/common/dataset/TextSimilarityInputDatasetTest.java
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@@ -0,0 +1,65 @@ | ||
/* | ||
* Copyright 2023 Aryn | ||
* Copyright OpenSearch Contributors | ||
* SPDX-License-Identifier: Apache-2.0 | ||
* | ||
* Licensed under the Apache License, Version 2.0 (the "License"); | ||
* you may not use this file except in compliance with the License. | ||
* You may obtain a copy of the License at | ||
* | ||
* http://www.apache.org/licenses/LICENSE-2.0 | ||
* | ||
* Unless required by applicable law or agreed to in writing, software | ||
* distributed under the License is distributed on an "AS IS" BASIS, | ||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
* See the License for the specific language governing permissions and | ||
* limitations under the License. | ||
*/ | ||
package org.opensearch.ml.common.dataset; | ||
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import static org.junit.Assert.assertThrows; | ||
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import java.io.IOException; | ||
import java.util.List; | ||
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import org.junit.Test; | ||
import org.opensearch.common.io.stream.BytesStreamOutput; | ||
import org.opensearch.core.common.bytes.BytesReference; | ||
import org.opensearch.core.common.io.stream.BytesStreamInput; | ||
import org.opensearch.core.common.io.stream.OutputStreamStreamOutput; | ||
import org.opensearch.core.common.io.stream.StreamInput; | ||
import org.opensearch.core.common.io.stream.StreamOutput; | ||
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public class TextSimilarityInputDatasetTest { | ||
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@Test | ||
public void testStreaming() throws IOException { | ||
List<String> docs = List.of("That is a happy dog", "it's summer"); | ||
String queryText = "today is sunny"; | ||
TextSimilarityInputDataSet dataset = TextSimilarityInputDataSet.builder().queryText(queryText).textDocs(docs).build(); | ||
BytesStreamOutput outbytes = new BytesStreamOutput(); | ||
StreamOutput osso = new OutputStreamStreamOutput(outbytes); | ||
dataset.writeTo(osso); | ||
StreamInput in = new BytesStreamInput(BytesReference.toBytes(outbytes.bytes())); | ||
TextSimilarityInputDataSet newDs = (TextSimilarityInputDataSet) MLInputDataset.fromStream(in); | ||
assert (dataset.getTextDocs().equals(newDs.getTextDocs())); | ||
assert (dataset.getQueryText().equals(newDs.getQueryText())); | ||
} | ||
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@Test | ||
public void noPairs_ThenFail() { | ||
List<String> docs = List.of(); | ||
String queryText = "today is sunny"; | ||
IllegalArgumentException e = assertThrows(IllegalArgumentException.class, | ||
() -> TextSimilarityInputDataSet.builder().textDocs(docs).queryText(queryText).build()); | ||
assert (e.getMessage().equals("No text documents were provided")); | ||
} | ||
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@Test | ||
public void noQuery_ThenFail() { | ||
List<String> docs = List.of("That is a happy dog", "it's summer"); | ||
String queryText = null; | ||
assertThrows(NullPointerException.class, | ||
() -> TextSimilarityInputDataSet.builder().textDocs(docs).queryText(queryText).build()); | ||
} | ||
} |
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