feat: add bench method

android/src/main/java/com/rnllama/LlamaContext.java

@@ -216,6 +216,10 @@ public WritableMap embedding(String text) {
     return result;
   }
 
+  public String bench(int pp, int tg, int pl, int nr) {
+    return bench(this.context, pp, tg, pl, nr);
+  }
+
   public void release() {
     freeContext(context);
   }
@@ -329,5 +333,6 @@ protected static native WritableMap doCompletion(
   protected static native String detokenize(long contextPtr, int[] tokens);
   protected static native boolean isEmbeddingEnabled(long contextPtr);
   protected static native WritableArray embedding(long contextPtr, String text);
+  protected static native String bench(long contextPtr, int pp, int tg, int pl, int nr);
   protected static native void freeContext(long contextPtr);
 }

android/src/main/java/com/rnllama/RNLlama.java

@@ -316,6 +316,38 @@ protected void onPostExecute(WritableMap result) {
     tasks.put(task, "embedding-" + contextId);
   }
 
+  public void bench(double id, final double pp, final double tg, final double pl, final double nr, final Promise promise) {
+    final int contextId = (int) id;
+    AsyncTask task = new AsyncTask<Void, Void, String>() {
+      private Exception exception;
+
+      @Override
+      protected String doInBackground(Void... voids) {
+        try {
+          LlamaContext context = contexts.get(contextId);
+          if (context == null) {
+            throw new Exception("Context not found");
+          }
+          return context.bench((int) pp, (int) tg, (int) pl, (int) nr);
+        } catch (Exception e) {
+          exception = e;
+        }
+        return null;
+      }
+
+      @Override
+      protected void onPostExecute(String result) {
+        if (exception != null) {
+          promise.reject(exception);
+          return;
+        }
+        promise.resolve(result);
+        tasks.remove(this);
+      }
+    }.execute();
+    tasks.put(task, "bench-" + contextId);
+  }
+
   public void releaseContext(double id, Promise promise) {
     final int contextId = (int) id;
     AsyncTask task = new AsyncTask<Void, Void, Void>() {

android/src/main/jni.cpp

@@ -561,6 +561,22 @@ Java_com_rnllama_LlamaContext_embedding(
     return result;
 }
 
+JNIEXPORT jstring JNICALL
+Java_com_rnllama_LlamaContext_bench(
+    JNIEnv *env,
+    jobject thiz,
+    jlong context_ptr,
+    jint pp,
+    jint tg,
+    jint pl,
+    jint nr
+) {
+    UNUSED(thiz);
+    auto llama = context_map[(long) context_ptr];
+    std::string result = llama->bench(pp, tg, pl, nr);
+    return env->NewStringUTF(result.c_str());
+}
+
 JNIEXPORT void JNICALL
 Java_com_rnllama_LlamaContext_freeContext(
         JNIEnv *env, jobject thiz, jlong context_ptr) {

android/src/newarch/java/com/rnllama/RNLlamaModule.java

@@ -77,6 +77,11 @@ public void embedding(double id, final String text, final Promise promise) {
     rnllama.embedding(id, text, promise);
   }
 
+  @ReactMethod
+  public void bench(double id, final double pp, final double tg, final double pl, final double nr, final Promise promise) {
+    rnllama.bench(id, pp, tg, pl, nr, promise);
+  }
+
   @ReactMethod
   public void releaseContext(double id, Promise promise) {
     rnllama.releaseContext(id, promise);

android/src/oldarch/java/com/rnllama/RNLlamaModule.java

@@ -78,6 +78,11 @@ public void embedding(double id, final String text, final Promise promise) {
     rnllama.embedding(id, text, promise);
   }
 
+  @ReactMethod
+  public void bench(double id, final double pp, final double tg, final double pl, final double nr, final Promise promise) {
+    rnllama.bench(id, pp, tg, pl, nr, promise);
+  }
+
   @ReactMethod
   public void releaseContext(double id, Promise promise) {
     rnllama.releaseContext(id, promise);

cpp/rn-llama.hpp

@@ -8,6 +8,21 @@
 
 namespace rnllama {
 
+static void llama_batch_clear(llama_batch *batch) {
+    batch->n_tokens = 0;
+}
+
+static void llama_batch_add(llama_batch *batch, llama_token id, llama_pos pos, std::vector<llama_seq_id> seq_ids, bool logits) {
+    batch->token   [batch->n_tokens] = id;
+    batch->pos     [batch->n_tokens] = pos;
+    batch->n_seq_id[batch->n_tokens] = seq_ids.size();
+    for (size_t i = 0; i < seq_ids.size(); i++) {
+        batch->seq_id[batch->n_tokens][i] = seq_ids[i];
+    }
+    batch->logits  [batch->n_tokens] = logits ? 1 : 0;
+    batch->n_tokens += 1;
+}
+
 // NOTE: Edit from https://github.com/ggerganov/llama.cpp/blob/master/examples/server/server.cpp
 
 static void log(const char *level, const char *function, int line,
@@ -506,6 +521,109 @@ struct llama_rn_context
         std::vector<float> embedding(data, data + n_embd);
         return embedding;
     }
+
+    std::string bench(int pp, int tg, int pl, int nr)
+    {
+        if (is_predicting) {
+            LOG_ERROR("cannot benchmark while predicting", "");
+            return std::string("[]");
+        }
+
+        is_predicting = true;
+
+        double pp_avg = 0;
+        double tg_avg = 0;
+
+        double pp_std = 0;
+        double tg_std = 0;
+
+        // TODO: move batch into llama_rn_context (related https://github.com/mybigday/llama.rn/issues/30)
+        llama_batch batch = llama_batch_init(512, 0, 1);
+
+        for (int i = 0; i < nr; i++)
+        {
+            llama_batch_clear(&batch);
+
+            const int n_tokens = pp;
+
+            for (int i = 0; i < n_tokens; i++)
+            {
+                llama_batch_add(&batch, 0, i, {0}, false);
+            }
+            batch.logits[batch.n_tokens - 1] = 1; // true
+
+            llama_kv_cache_clear(ctx);
+
+            const int64_t t_pp_start = llama_time_us();
+            if (llama_decode(ctx, batch) != 0)
+            {
+                LOG_ERROR("llama_decode() failed during prompt", "");
+            }
+            const int64_t t_pp_end = llama_time_us();
+            llama_kv_cache_clear(ctx);
+
+            if (is_interrupted) break;
+
+            const int64_t t_tg_start = llama_time_us();
+
+            for (int i = 0; i < tg; i++)
+            {
+                llama_batch_clear(&batch);
+
+                for (int j = 0; j < pl; j++)
+                {
+                    llama_batch_add(&batch, 0, i, {j}, true);
+                }
+
+                if (llama_decode(ctx, batch) != 0)
+                {
+                    LOG_ERROR("llama_decode() failed during text generation", "");
+                }
+                if (is_interrupted) break;
+            }
+
+            const int64_t t_tg_end = llama_time_us();
+
+            llama_kv_cache_clear(ctx);
+
+            const double t_pp = (t_pp_end - t_pp_start) / 1000000.0;
+            const double t_tg = (t_tg_end - t_tg_start) / 1000000.0;
+
+            const double speed_pp = pp / t_pp;
+            const double speed_tg = (pl * tg) / t_tg;
+
+            pp_avg += speed_pp;
+            tg_avg += speed_tg;
+
+            pp_std += speed_pp * speed_pp;
+            tg_std += speed_tg * speed_tg;
+        }
+
+        pp_avg /= nr;
+        tg_avg /= nr;
+
+        if (nr > 1) {
+            pp_std = sqrt(pp_std / (nr - 1) - pp_avg * pp_avg * nr / (nr - 1));
+            tg_std = sqrt(tg_std / (nr - 1) - tg_avg * tg_avg * nr / (nr - 1));
+        } else {
+            pp_std = 0;
+            tg_std = 0;
+        }
+
+        if (is_interrupted) llama_kv_cache_clear(ctx);
+        is_predicting = false;
+
+        char model_desc[128];
+        llama_model_desc(model, model_desc, sizeof(model_desc));
+        return std::string("[\"") + model_desc + std::string("\",") +
+            std::to_string(llama_model_size(model)) + std::string(",") +
+            std::to_string(llama_model_n_params(model)) + std::string(",") +
+            std::to_string(pp_avg) + std::string(",") +
+            std::to_string(pp_std) + std::string(",") +
+            std::to_string(tg_avg) + std::string(",") +
+            std::to_string(tg_std) +
+            std::string("]");
+    }
 };
 
 }

docs/API/README.md

@@ -11,6 +11,7 @@ llama.rn
 
 ### Type Aliases
 
+- [BenchResult](README.md#benchresult)
 - [CompletionParams](README.md#completionparams)
 - [ContextParams](README.md#contextparams)
 - [TokenData](README.md#tokendata)
@@ -24,13 +25,35 @@ llama.rn
 
 ## Type Aliases
 
+### BenchResult
+
+Ƭ **BenchResult**: `Object`
+
+#### Type declaration
+
+| Name | Type |
+| :------ | :------ |
+| `modelDesc` | `string` |
+| `modelNParams` | `number` |
+| `modelSize` | `number` |
+| `ppAvg` | `number` |
+| `ppStd` | `number` |
+| `tgAvg` | `number` |
+| `tgStd` | `number` |
+
+#### Defined in
+
+[index.ts:43](https://github.com/mybigday/llama.rn/blob/427a856/src/index.ts#L43)
+
+___
+
 ### CompletionParams
 
 Ƭ **CompletionParams**: `Omit`<`NativeCompletionParams`, ``"emit_partial_completion"``\>
 
 #### Defined in
 
-[index.ts:40](https://github.com/mybigday/llama.rn/blob/8738c99/src/index.ts#L40)
+[index.ts:41](https://github.com/mybigday/llama.rn/blob/427a856/src/index.ts#L41)
 
 ___
 
@@ -40,7 +63,7 @@ ___
 
 #### Defined in
 
-[index.ts:38](https://github.com/mybigday/llama.rn/blob/8738c99/src/index.ts#L38)
+[index.ts:39](https://github.com/mybigday/llama.rn/blob/427a856/src/index.ts#L39)
 
 ___
 
@@ -57,7 +80,7 @@ ___
 
 #### Defined in
 
-[index.ts:28](https://github.com/mybigday/llama.rn/blob/8738c99/src/index.ts#L28)
+[index.ts:29](https://github.com/mybigday/llama.rn/blob/427a856/src/index.ts#L29)
 
 ## Functions
 
@@ -79,7 +102,7 @@ ___
 
 #### Defined in
 
-[grammar.ts:134](https://github.com/mybigday/llama.rn/blob/8738c99/src/grammar.ts#L134)
+[grammar.ts:134](https://github.com/mybigday/llama.rn/blob/427a856/src/grammar.ts#L134)
 
 ___
 
@@ -99,7 +122,7 @@ ___
 
 #### Defined in
 
-[index.ts:127](https://github.com/mybigday/llama.rn/blob/8738c99/src/index.ts#L127)
+[index.ts:160](https://github.com/mybigday/llama.rn/blob/427a856/src/index.ts#L160)
 
 ___
 
@@ -113,7 +136,7 @@ ___
 
 #### Defined in
 
-[index.ts:143](https://github.com/mybigday/llama.rn/blob/8738c99/src/index.ts#L143)
+[index.ts:176](https://github.com/mybigday/llama.rn/blob/427a856/src/index.ts#L176)
 
 ___
 
@@ -133,4 +156,4 @@ ___
 
 #### Defined in
 
-[index.ts:123](https://github.com/mybigday/llama.rn/blob/8738c99/src/index.ts#L123)
+[index.ts:156](https://github.com/mybigday/llama.rn/blob/427a856/src/index.ts#L156)