lordgamez commented on code in PR #1903: URL: https://github.com/apache/nifi-minifi-cpp/pull/1903#discussion_r2037477712
########## extensions/llamacpp/processors/DefaultLlamaContext.cpp: ########## @@ -0,0 +1,144 @@ +/** + * 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. + */ + +#include "DefaultLlamaContext.h" +#include "Exception.h" +#include "fmt/format.h" + +namespace org::apache::nifi::minifi::extensions::llamacpp::processors { + +namespace { +std::vector<llama_token> tokenizeInput(const llama_vocab* vocab, const std::string& input) { + int32_t number_of_tokens = gsl::narrow<int32_t>(input.length()) + 2; + std::vector<llama_token> tokenized_input(number_of_tokens); + number_of_tokens = llama_tokenize(vocab, input.data(), gsl::narrow<int32_t>(input.length()), tokenized_input.data(), gsl::narrow<int32_t>(tokenized_input.size()), true, true); + if (number_of_tokens < 0) { + tokenized_input.resize(-number_of_tokens); + [[maybe_unused]] int32_t check = llama_tokenize(vocab, input.data(), gsl::narrow<int32_t>(input.length()), tokenized_input.data(), gsl::narrow<int32_t>(tokenized_input.size()), true, true); + gsl_Assert(check == -number_of_tokens); + } else { + tokenized_input.resize(number_of_tokens); + } + return tokenized_input; +} +} // namespace + + +DefaultLlamaContext::DefaultLlamaContext(const std::filesystem::path& model_path, const LlamaSamplerParams& llama_sampler_params, const LlamaContextParams& llama_ctx_params) { + llama_backend_init(); + + llama_model_ = llama_model_load_from_file(model_path.string().c_str(), llama_model_default_params()); // NOLINT(cppcoreguidelines-prefer-member-initializer) + if (!llama_model_) { + throw Exception(ExceptionType::PROCESS_SCHEDULE_EXCEPTION, fmt::format("Failed to load model from '{}'", model_path.string())); + } + + llama_context_params ctx_params = llama_context_default_params(); + ctx_params.n_ctx = llama_ctx_params.n_ctx; + ctx_params.n_batch = llama_ctx_params.n_batch; + ctx_params.n_ubatch = llama_ctx_params.n_ubatch; + ctx_params.n_seq_max = llama_ctx_params.n_seq_max; + ctx_params.n_threads = llama_ctx_params.n_threads; + ctx_params.n_threads_batch = llama_ctx_params.n_threads_batch; + ctx_params.flash_attn = false; + llama_ctx_ = llama_init_from_model(llama_model_, ctx_params); + + auto sparams = llama_sampler_chain_default_params(); + llama_sampler_ = llama_sampler_chain_init(sparams); + + if (llama_sampler_params.min_p) { + llama_sampler_chain_add(llama_sampler_, llama_sampler_init_min_p(*llama_sampler_params.min_p, llama_sampler_params.min_keep)); + } + if (llama_sampler_params.top_k) { + llama_sampler_chain_add(llama_sampler_, llama_sampler_init_top_k(*llama_sampler_params.top_k)); + } + if (llama_sampler_params.top_p) { + llama_sampler_chain_add(llama_sampler_, llama_sampler_init_top_p(*llama_sampler_params.top_p, llama_sampler_params.min_keep)); + } + if (llama_sampler_params.temperature) { + llama_sampler_chain_add(llama_sampler_, llama_sampler_init_temp(*llama_sampler_params.temperature)); + } + llama_sampler_chain_add(llama_sampler_, llama_sampler_init_dist(LLAMA_DEFAULT_SEED)); +} + +DefaultLlamaContext::~DefaultLlamaContext() { + llama_sampler_free(llama_sampler_); + llama_sampler_ = nullptr; + llama_free(llama_ctx_); + llama_ctx_ = nullptr; + llama_model_free(llama_model_); + llama_model_ = nullptr; + llama_backend_free(); +} + +std::string DefaultLlamaContext::applyTemplate(const std::vector<LlamaChatMessage>& messages) { + std::vector<llama_chat_message> llama_messages; + llama_messages.reserve(messages.size()); + for (auto& msg : messages) { + llama_messages.push_back(llama_chat_message{.role = msg.role.c_str(), .content = msg.content.c_str()}); + } + std::string text; + const char * chat_template = llama_model_chat_template(llama_model_, nullptr); + int32_t res_size = llama_chat_apply_template(chat_template, llama_messages.data(), llama_messages.size(), true, text.data(), gsl::narrow<int32_t>(text.size())); + if (res_size > gsl::narrow<int32_t>(text.size())) { + text.resize(res_size); + llama_chat_apply_template(chat_template, llama_messages.data(), llama_messages.size(), true, text.data(), gsl::narrow<int32_t>(text.size())); + } + text.resize(res_size); Review Comment: Added handling in https://github.com/apache/nifi-minifi-cpp/pull/1903/commits/86cf24d3a23204cd9d313bdf254d04bdbb9dc1f8 -- This is an automated message from the Apache Git Service. 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