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https://github.com/ggerganov/llama.cpp.git
synced 2024-11-11 13:30:35 +00:00
llama.android : fix build (#9350)
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a5b5d9a101
@ -269,12 +269,6 @@ Java_android_llama_cpp_LLamaAndroid_bench_1model(
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return env->NewStringUTF(result.str().c_str());
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}
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extern "C"
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JNIEXPORT void JNICALL
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Java_android_llama_cpp_LLamaAndroid_free_1batch(JNIEnv *, jobject, jlong batch_pointer) {
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llama_batch_free(*reinterpret_cast<llama_batch *>(batch_pointer));
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}
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extern "C"
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JNIEXPORT jlong JNICALL
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Java_android_llama_cpp_LLamaAndroid_new_1batch(JNIEnv *, jobject, jint n_tokens, jint embd, jint n_seq_max) {
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@ -311,6 +305,29 @@ Java_android_llama_cpp_LLamaAndroid_new_1batch(JNIEnv *, jobject, jint n_tokens,
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return reinterpret_cast<jlong>(batch);
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}
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extern "C"
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JNIEXPORT void JNICALL
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Java_android_llama_cpp_LLamaAndroid_free_1batch(JNIEnv *, jobject, jlong batch_pointer) {
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llama_batch_free(*reinterpret_cast<llama_batch *>(batch_pointer));
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}
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extern "C"
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JNIEXPORT jlong JNICALL
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Java_android_llama_cpp_LLamaAndroid_new_1sampler(JNIEnv *, jobject) {
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auto sparams = llama_sampler_chain_default_params();
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sparams.no_perf = true;
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llama_sampler * smpl = llama_sampler_chain_init(sparams);
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llama_sampler_chain_add(smpl, llama_sampler_init_greedy());
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return reinterpret_cast<jlong>(smpl);
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}
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extern "C"
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JNIEXPORT void JNICALL
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Java_android_llama_cpp_LLamaAndroid_free_1sampler(JNIEnv *, jobject, jlong sampler_pointer) {
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llama_sampler_free(reinterpret_cast<llama_sampler *>(sampler_pointer));
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}
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extern "C"
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JNIEXPORT void JNICALL
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Java_android_llama_cpp_LLamaAndroid_backend_1init(JNIEnv *, jobject) {
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@ -380,14 +397,14 @@ Java_android_llama_cpp_LLamaAndroid_completion_1loop(
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JNIEnv * env,
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jobject,
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jlong context_pointer,
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jlong sampling_pointer,
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jlong batch_pointer,
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jlong sampler_pointer,
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jint n_len,
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jobject intvar_ncur
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) {
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const auto context = reinterpret_cast<llama_context *>(context_pointer);
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const auto sampling = reinterpret_cast<llama_sampler *>(sampling_pointer);
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const auto batch = reinterpret_cast<llama_batch *>(batch_pointer);
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const auto sampler = reinterpret_cast<llama_sampler *>(sampler_pointer);
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const auto model = llama_get_model(context);
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if (!la_int_var) la_int_var = env->GetObjectClass(intvar_ncur);
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@ -395,9 +412,9 @@ Java_android_llama_cpp_LLamaAndroid_completion_1loop(
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if (!la_int_var_inc) la_int_var_inc = env->GetMethodID(la_int_var, "inc", "()V");
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// sample the most likely token
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const auto new_token_id = llama_sampler_sample(sampling, context, batch->n_tokens - 1);
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const auto new_token_id = llama_sampler_sample(sampler, context, -1);
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llama_sampler_accept(sampling, new_token_id);
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llama_sampler_accept(sampler, new_token_id);
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const auto n_cur = env->CallIntMethod(intvar_ncur, la_int_var_value);
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if (llama_token_is_eog(model, new_token_id) || n_cur == n_len) {
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@ -45,8 +45,10 @@ class LLamaAndroid {
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private external fun free_context(context: Long)
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private external fun backend_init(numa: Boolean)
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private external fun backend_free()
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private external fun free_batch(batch: Long)
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private external fun new_batch(nTokens: Int, embd: Int, nSeqMax: Int): Long
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private external fun free_batch(batch: Long)
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private external fun new_sampler(): Long
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private external fun free_sampler(sampler: Long)
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private external fun bench_model(
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context: Long,
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model: Long,
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@ -69,6 +71,7 @@ class LLamaAndroid {
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private external fun completion_loop(
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context: Long,
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batch: Long,
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sampler: Long,
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nLen: Int,
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ncur: IntVar
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): String?
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@ -101,8 +104,11 @@ class LLamaAndroid {
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val batch = new_batch(512, 0, 1)
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if (batch == 0L) throw IllegalStateException("new_batch() failed")
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val sampler = new_sampler()
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if (sampler == 0L) throw IllegalStateException("new_sampler() failed")
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Log.i(tag, "Loaded model $pathToModel")
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threadLocalState.set(State.Loaded(model, context, batch))
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threadLocalState.set(State.Loaded(model, context, batch, sampler))
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}
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else -> throw IllegalStateException("Model already loaded")
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}
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@ -114,7 +120,7 @@ class LLamaAndroid {
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is State.Loaded -> {
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val ncur = IntVar(completion_init(state.context, state.batch, message, nlen))
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while (ncur.value <= nlen) {
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val str = completion_loop(state.context, state.batch, nlen, ncur)
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val str = completion_loop(state.context, state.batch, state.sampler, nlen, ncur)
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if (str == null) {
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break
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}
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@ -138,6 +144,7 @@ class LLamaAndroid {
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free_context(state.context)
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free_model(state.model)
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free_batch(state.batch)
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free_sampler(state.sampler);
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threadLocalState.set(State.Idle)
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}
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@ -161,7 +168,7 @@ class LLamaAndroid {
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private sealed interface State {
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data object Idle: State
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data class Loaded(val model: Long, val context: Long, val batch: Long): State
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data class Loaded(val model: Long, val context: Long, val batch: Long, val sampler: Long): State
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}
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// Enforce only one instance of Llm.
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