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| /** | ||
| * Licensed to the Apache Software Foundation (ASF) under one or more | ||
| * contributor license agreements. See the NOTICE file distributed with | ||
| * this work for additional information regarding copyright ownership. | ||
| * The ASF licenses this file to You 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. | ||
| */ | ||
|
|
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| #include "LlamaContext.h" | ||
| #include "Exception.h" | ||
| #include "fmt/format.h" | ||
| #pragma push_macro("DEPRECATED") | ||
| #include "llama.h" | ||
| #pragma pop_macro("DEPRECATED") | ||
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| namespace org::apache::nifi::minifi::processors::llamacpp { | ||
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| static std::function<std::unique_ptr<LlamaContext>(const std::filesystem::path&, float)> test_provider; | ||
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| void LlamaContext::testSetProvider(std::function<std::unique_ptr<LlamaContext>(const std::filesystem::path&, float)> provider) { | ||
| test_provider = provider; | ||
| } | ||
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| class DefaultLlamaContext : public LlamaContext { | ||
| public: | ||
| DefaultLlamaContext(const std::filesystem::path& model_path, float temperature) { | ||
| llama_backend_init(); | ||
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| llama_model_params model_params = llama_model_default_params(); | ||
| llama_model_ = llama_load_model_from_file(model_path.c_str(), model_params); | ||
| if (!llama_model_) { | ||
| throw Exception(ExceptionType::PROCESS_SCHEDULE_EXCEPTION, fmt::format("Failed to load model from '{}'", model_path.c_str())); | ||
| } | ||
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| llama_context_params ctx_params = llama_context_default_params(); | ||
| ctx_params.n_ctx = 0; | ||
| llama_ctx_ = llama_new_context_with_model(llama_model_, ctx_params); | ||
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| auto sparams = llama_sampler_chain_default_params(); | ||
| llama_sampler_ = llama_sampler_chain_init(sparams); | ||
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| llama_sampler_chain_add(llama_sampler_, llama_sampler_init_top_k(50)); | ||
| llama_sampler_chain_add(llama_sampler_, llama_sampler_init_top_p(0.9, 1)); | ||
| llama_sampler_chain_add(llama_sampler_, llama_sampler_init_temp(temperature)); | ||
| llama_sampler_chain_add(llama_sampler_, llama_sampler_init_dist(1234)); | ||
| } | ||
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| std::string applyTemplate(const std::vector<LlamaChatMessage>& messages) override { | ||
| std::vector<llama_chat_message> msgs; | ||
| for (auto& msg : messages) { | ||
| msgs.push_back(llama_chat_message{.role = msg.role.c_str(), .content = msg.content.c_str()}); | ||
| } | ||
| std::string text; | ||
| int32_t res_size = llama_chat_apply_template(llama_model_, nullptr, msgs.data(), msgs.size(), true, text.data(), text.size()); | ||
| if (res_size > gsl::narrow<int32_t>(text.size())) { | ||
| text.resize(res_size); | ||
| llama_chat_apply_template(llama_model_, nullptr, msgs.data(), msgs.size(), true, text.data(), text.size()); | ||
| } | ||
| text.resize(res_size); | ||
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| // utils::string::replaceAll(text, "<NEWLINE_CHAR>", "\n"); | ||
|
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| return text; | ||
| } | ||
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| void generate(const std::string& input, std::function<bool(std::string_view/*token*/)> cb) override { | ||
| std::vector<llama_token> enc_input = [&] { | ||
| int32_t n_tokens = input.length() + 2; | ||
| std::vector<llama_token> enc_input(n_tokens); | ||
| n_tokens = llama_tokenize(llama_model_, input.data(), input.length(), enc_input.data(), enc_input.size(), true, true); | ||
| if (n_tokens < 0) { | ||
| enc_input.resize(-n_tokens); | ||
| int check = llama_tokenize(llama_model_, input.data(), input.length(), enc_input.data(), enc_input.size(), true, true); | ||
| gsl_Assert(check == -n_tokens); | ||
| } else { | ||
| enc_input.resize(n_tokens); | ||
| } | ||
| return enc_input; | ||
| }(); | ||
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| llama_batch batch = llama_batch_get_one(enc_input.data(), enc_input.size()); | ||
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| llama_token new_token_id; | ||
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| bool terminate = false; | ||
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| while (!terminate) { | ||
| if (int32_t res = llama_decode(llama_ctx_, batch); res < 0) { | ||
| throw std::logic_error("failed to execute decode"); | ||
| } | ||
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| new_token_id = llama_sampler_sample(llama_sampler_, llama_ctx_, -1); | ||
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| if (llama_token_is_eog(llama_model_, new_token_id)) { | ||
| break; | ||
| } | ||
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| llama_sampler_accept(llama_sampler_, new_token_id); | ||
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| std::array<char, 128> buf; | ||
| int32_t len = llama_token_to_piece(llama_model_, new_token_id, buf.data(), buf.size(), 0, true); | ||
| if (len < 0) { | ||
| throw std::logic_error("failed to convert to text"); | ||
| } | ||
| gsl_Assert(len < 128); | ||
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| std::string_view token_str{buf.data(), gsl::narrow<std::string_view::size_type>(len)}; | ||
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| batch = llama_batch_get_one(&new_token_id, 1); | ||
|
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| terminate = cb(token_str); | ||
| } | ||
| } | ||
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| ~DefaultLlamaContext() override { | ||
| llama_sampler_free(llama_sampler_); | ||
| llama_sampler_ = nullptr; | ||
| llama_free(llama_ctx_); | ||
| llama_ctx_ = nullptr; | ||
| llama_free_model(llama_model_); | ||
| llama_model_ = nullptr; | ||
| llama_backend_free(); | ||
| } | ||
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| private: | ||
| llama_model* llama_model_{nullptr}; | ||
| llama_context* llama_ctx_{nullptr}; | ||
| llama_sampler* llama_sampler_{nullptr}; | ||
| }; | ||
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| std::unique_ptr<LlamaContext> LlamaContext::create(const std::filesystem::path& model_path, float temperature) { | ||
| if (test_provider) { | ||
| return test_provider(model_path, temperature); | ||
| } | ||
| return std::make_unique<DefaultLlamaContext>(model_path, temperature); | ||
| } | ||
|
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| } // namespace org::apache::nifi::minifi::processors::llamacpp |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,42 @@ | ||
| /** | ||
| * Licensed to the Apache Software Foundation (ASF) under one or more | ||
| * contributor license agreements. See the NOTICE file distributed with | ||
| * this work for additional information regarding copyright ownership. | ||
| * The ASF licenses this file to You 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. | ||
| */ | ||
| #pragma once | ||
|
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| #include <memory> | ||
| #include <filesystem> | ||
| #include <vector> | ||
| #include <string_view> | ||
| #include <string> | ||
| #include <functional> | ||
|
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| namespace org::apache::nifi::minifi::processors::llamacpp { | ||
|
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| struct LlamaChatMessage { | ||
| std::string role; | ||
| std::string content; | ||
| }; | ||
|
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| class LlamaContext { | ||
| public: | ||
| static void testSetProvider(std::function<std::unique_ptr<LlamaContext>(const std::filesystem::path&, float)> provider); | ||
| static std::unique_ptr<LlamaContext> create(const std::filesystem::path& model_path, float temperature); | ||
| virtual std::string applyTemplate(const std::vector<LlamaChatMessage>& messages) = 0; | ||
| virtual void generate(const std::string& input, std::function<bool(std::string_view/*token*/)> cb) = 0; | ||
| virtual ~LlamaContext() = default; | ||
| }; | ||
|
|
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| } // namespace org::apache::nifi::minifi::processors::llamacpp |
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