diff options
Diffstat (limited to 'model-integration/src/test/java')
-rw-r--r-- | model-integration/src/test/java/ai/vespa/embedding/huggingface/HuggingFaceEmbedderTest.java | 47 |
1 files changed, 47 insertions, 0 deletions
diff --git a/model-integration/src/test/java/ai/vespa/embedding/huggingface/HuggingFaceEmbedderTest.java b/model-integration/src/test/java/ai/vespa/embedding/huggingface/HuggingFaceEmbedderTest.java index d504d77cc9b..c2c37db31f6 100644 --- a/model-integration/src/test/java/ai/vespa/embedding/huggingface/HuggingFaceEmbedderTest.java +++ b/model-integration/src/test/java/ai/vespa/embedding/huggingface/HuggingFaceEmbedderTest.java @@ -143,6 +143,39 @@ public class HuggingFaceEmbedderTest { }); } + @Test + public void testEmbedderWithNormalizationAndPrefix() { + String input = "This is a test"; + var context = new Embedder.Context("schema.indexing"); + Tensor result = getNormalizePrefixdEmbedder().embed(input, context, TensorType.fromSpec(("tensor<float>(x[8])"))); + assertEquals(1.0, result.multiply(result).sum().asDouble(), 1e-3); + result = getNormalizePrefixdEmbedder().embed(input, context, TensorType.fromSpec(("tensor<float>(x[16])"))); + assertEquals(1.0, result.multiply(result).sum().asDouble(), 1e-3); + Tensor binarizedResult = getNormalizePrefixdEmbedder().embed(input, context, TensorType.fromSpec(("tensor<int8>(x[2])"))); + assertEquals("tensor<int8>(x[2]):[125, 44]", binarizedResult.toAbbreviatedString()); + + var queryContext = new Embedder.Context("query.qt"); + Tensor queryResult = getNormalizePrefixdEmbedder().embed(input, queryContext, TensorType.fromSpec(("tensor<float>(x[8])"))); + assertEquals(1.0, queryResult.multiply(queryResult).sum().asDouble(), 1e-3); + queryResult = getNormalizePrefixdEmbedder().embed(input, queryContext, TensorType.fromSpec(("tensor<float>(x[16])"))); + assertEquals(1.0, queryResult.multiply(queryResult).sum().asDouble(), 1e-3); + Tensor binarizedResultQuery = getNormalizePrefixdEmbedder().embed(input, queryContext, TensorType.fromSpec(("tensor<int8>(x[2])"))); + assertNotEquals(binarizedResult.toAbbreviatedString(), binarizedResultQuery.toAbbreviatedString()); + assertEquals("tensor<int8>(x[2]):[119, -116]", binarizedResultQuery.toAbbreviatedString()); + } + + @Test + public void testPrepend() { + var context = new Embedder.Context("schema.indexing"); + String input = "This is a test"; + var embedder = getNormalizePrefixdEmbedder(); + var result = embedder.prependInstruction(input, context); + assertEquals("This is a document: This is a test", result); + var queryContext = new Embedder.Context("query.qt"); + var queryResult = embedder.prependInstruction(input, queryContext); + assertEquals("Represent this text: This is a test", queryResult); + } + private static HuggingFaceEmbedder getEmbedder() { String vocabPath = "src/test/models/onnx/transformer/real_tokenizer.json"; String modelPath = "src/test/models/onnx/transformer/embedding_model.onnx"; @@ -165,6 +198,20 @@ public class HuggingFaceEmbedderTest { return new HuggingFaceEmbedder(new OnnxRuntime(), Embedder.Runtime.testInstance(), builder.build()); } + private static HuggingFaceEmbedder getNormalizePrefixdEmbedder() { + String vocabPath = "src/test/models/onnx/transformer/real_tokenizer.json"; + String modelPath = "src/test/models/onnx/transformer/embedding_model.onnx"; + assumeTrue(OnnxRuntime.isRuntimeAvailable(modelPath)); + HuggingFaceEmbedderConfig.Builder builder = new HuggingFaceEmbedderConfig.Builder(); + builder.tokenizerPath(ModelReference.valueOf(vocabPath)); + builder.transformerModel(ModelReference.valueOf(modelPath)); + builder.transformerGpuDevice(-1); + builder.normalize(true); + builder.prependQuery("Represent this text:"); + builder.prependDocument("This is a document:"); + return new HuggingFaceEmbedder(new OnnxRuntime(), Embedder.Runtime.testInstance(), builder.build()); + } + public static Tensor expandBitTensor(Tensor packed) { var unpacker = new UnpackBitsNode(new ReferenceNode("input"), TensorType.Value.DOUBLE, "big"); var context = new MapContext(); |