feat: bert.cpp token embeddings (#241)

Makefile

@@ -10,7 +10,7 @@ GOGPT2_VERSION?=92421a8cf61ed6e03babd9067af292b094cb1307
 RWKV_REPO?=https://github.com/donomii/go-rwkv.cpp
 RWKV_VERSION?=07166da10cb2a9e8854395a4f210464dcea76e47
 WHISPER_CPP_VERSION?=bf2449dfae35a46b2cd92ab22661ce81a48d4993
-BERT_VERSION?=ec771ec715576ac050263bb7bb74bfd616a5ba13
+BERT_VERSION?=ac22f8f74aec5e31bc46242c17e7d511f127856b
 BLOOMZ_VERSION?=e9366e82abdfe70565644fbfae9651976714efd1
 
 
@@ -182,6 +182,7 @@ test-models/testmodel:
 	mkdir test-dir
 	wget https://huggingface.co/concedo/cerebras-111M-ggml/resolve/main/cerberas-111m-q4_0.bin -O test-models/testmodel
 	wget https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-base.en.bin -O test-models/whisper-en
+	wget https://huggingface.co/skeskinen/ggml/resolve/main/all-MiniLM-L6-v2/ggml-model-q4_0.bin -O test-models/bert
 	wget https://cdn.openai.com/whisper/draft-20220913a/micro-machines.wav -O test-dir/audio.wav
 	cp tests/fixtures/* test-models
 

api/api_test.go

@@ -47,8 +47,7 @@ var _ = Describe("API test", func() {
 		It("returns the models list", func() {
 			models, err := client.ListModels(context.TODO())
 			Expect(err).ToNot(HaveOccurred())
-			Expect(len(models.Models)).To(Equal(5))
-			Expect(models.Models[0].ID).To(Equal("testmodel"))
+			Expect(len(models.Models)).To(Equal(7))
 		})
 		It("can generate completions", func() {
 			resp, err := client.CreateCompletion(context.TODO(), openai.CompletionRequest{Model: "testmodel", Prompt: "abcdedfghikl"})
@@ -97,6 +96,33 @@ var _ = Describe("API test", func() {
 			Expect(err).ToNot(HaveOccurred())
 			Expect(resp.Text).To(ContainSubstring("This is the Micro Machine Man presenting"))
 		})
+
+		It("calculate embeddings", func() {
+			if runtime.GOOS != "linux" {
+				Skip("test supported only on linux")
+			}
+			resp, err := client.CreateEmbeddings(
+				context.Background(),
+				openai.EmbeddingRequest{
+					Model: openai.AdaEmbeddingV2,
+					Input: []string{"sun", "cat"},
+				},
+			)
+			Expect(err).ToNot(HaveOccurred())
+			Expect(len(resp.Data[0].Embedding)).To(BeNumerically("==", 384))
+			Expect(len(resp.Data[1].Embedding)).To(BeNumerically("==", 384))
+
+			sunEmbedding := resp.Data[0].Embedding
+			resp2, err := client.CreateEmbeddings(
+				context.Background(),
+				openai.EmbeddingRequest{
+					Model: openai.AdaEmbeddingV2,
+					Input: []string{"sun"},
+				},
+			)
+			Expect(err).ToNot(HaveOccurred())
+			Expect(resp2.Data[0].Embedding).To(Equal(sunEmbedding))
+		})
 	})
 
 	Context("Config file", func() {
@@ -123,8 +149,7 @@ var _ = Describe("API test", func() {
 
 			models, err := client.ListModels(context.TODO())
 			Expect(err).ToNot(HaveOccurred())
-			Expect(len(models.Models)).To(Equal(7))
-			Expect(models.Models[0].ID).To(Equal("testmodel"))
+			Expect(len(models.Models)).To(Equal(9))
 		})
 		It("can generate chat completions from config file", func() {
 			resp, err := client.CreateChatCompletion(context.TODO(), openai.ChatCompletionRequest{Model: "list1", Messages: []openai.ChatCompletionMessage{openai.ChatCompletionMessage{Role: "user", Content: "abcdedfghikl"}}})

api/prediction.go

@@ -68,7 +68,7 @@ func ModelEmbedding(s string, tokens []int, loader *model.ModelLoader, c Config)
 	case *bert.Bert:
 		fn = func() ([]float32, error) {
 			if len(tokens) > 0 {
-				return nil, fmt.Errorf("embeddings endpoint for this model supports only string")
+				return model.TokenEmbeddings(tokens, bert.SetThreads(c.Threads))
 			}
 			return model.Embeddings(s, bert.SetThreads(c.Threads))
 		}

tests/fixtures/embeddings.yaml

@@ -0,0 +1,6 @@
+name: text-embedding-ada-002
+parameters:
+  model: bert
+threads: 14
+backend: bert-embeddings
+embeddings: true