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| Original file line number | Diff line number | Diff line change |
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| //===- llama-main.cpp -----------------------------------------------------===// | ||
| // | ||
| // Licensed 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 <buddy/Core/Container.h> | ||
| #include <buddy/LLM/TextContainer.h> | ||
| #include <chrono> | ||
| #include <cstddef> | ||
| #include <cstdint> | ||
| #include <filesystem> | ||
| #include <fstream> | ||
| #include <iostream> | ||
| #include <limits> | ||
| #include <type_traits> | ||
|
|
||
| using namespace buddy; | ||
|
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| constexpr size_t ParamsSize = 6755192832; | ||
| constexpr size_t MaxVocabSize = 32000; | ||
| constexpr size_t MaxTokenLength = 40; | ||
| constexpr size_t HiddenSize = 4096; | ||
|
|
||
| /// Declare LLaMA forward function. | ||
| extern "C" void _mlir_ciface_forward(MemRef<float, 3> *, MemRef<float, 1> *, | ||
| Text<size_t, 2> *); | ||
|
|
||
| // ----------------------------------------------------------------------------- | ||
| // Helper Functions | ||
| // ----------------------------------------------------------------------------- | ||
|
|
||
| /// Capture input message. | ||
| void getUserInput(std::string &inputStr) { | ||
| std::cout << "\nPlease send a message:" << std::endl; | ||
| std::cout << ">>> "; | ||
| getline(std::cin, inputStr); | ||
| std::cout << std::endl; | ||
| } | ||
|
|
||
| /// Print [Log] label in bold blue format. | ||
| void printLogLabel() { std::cout << "\033[34;1m[Log] \033[0m"; } | ||
|
|
||
| /// Print information for each iteration. | ||
| void printIterInfo(size_t iterIdx, std::string str, double time) { | ||
| std::cout << "\033[32;1m[Iteration " << iterIdx << "] \033[0m"; | ||
| std::cout << "Token: " << str << " | " | ||
| << "Time: " << time << "s" << std::endl; | ||
| } | ||
|
|
||
| /// Tokenize input data in the container. | ||
| void tokenizeInput(const std::string &vocabFile, | ||
| Text<size_t, 2> &inputContainer) { | ||
| printLogLabel(); | ||
| std::cout << "Vocab file: " << std::filesystem::canonical(vocabFile) | ||
| << std::endl; | ||
| const auto buddyTokenizeStart = std::chrono::high_resolution_clock::now(); | ||
| inputContainer.tokenizeLlama(vocabFile, MaxTokenLength); | ||
| const auto buddyTokenizeEnd = std::chrono::high_resolution_clock::now(); | ||
| const std::chrono::duration<double, std::milli> buddyTokenizeTime = | ||
| buddyTokenizeEnd - buddyTokenizeStart; | ||
| printLogLabel(); | ||
| std::cout << "Tokenize time: " << buddyTokenizeTime.count() << "ms" | ||
| << std::endl; | ||
| } | ||
|
|
||
| /// Load parameters into data container. | ||
| void loadParameters(const std::string ¶mFilePath, | ||
| MemRef<float, 1> ¶ms) { | ||
| const auto loadStart = std::chrono::high_resolution_clock::now(); | ||
| std::ifstream paramFile(paramFilePath, std::ios::in | std::ios::binary); | ||
| if (!paramFile.is_open()) { | ||
| throw std::runtime_error("[Error] Failed to open params file!"); | ||
| } | ||
| printLogLabel(); | ||
| std::cout << "Loading params..." << std::endl; | ||
| printLogLabel(); | ||
| std::cout << "Params file: " << std::filesystem::canonical(paramFilePath) | ||
| << std::endl; | ||
| paramFile.read(reinterpret_cast<char *>(params.getData()), | ||
| sizeof(float) * (params.getSize())); | ||
| if (paramFile.fail()) { | ||
| throw std::runtime_error("Error occurred while reading params file!"); | ||
| } | ||
| paramFile.close(); | ||
| const auto loadEnd = std::chrono::high_resolution_clock::now(); | ||
| const std::chrono::duration<double, std::milli> loadTime = | ||
| loadEnd - loadStart; | ||
| printLogLabel(); | ||
| std::cout << "Params load time: " << (double)(loadTime.count()) / 1000 | ||
| << "s\n" | ||
| << std::endl; | ||
| } | ||
|
|
||
| /// Find the index of the max value. | ||
| int findMaxIndex(const float *start, const float *end) { | ||
| return std::distance(start, std::max_element(start, end)); | ||
| } | ||
|
|
||
| // ----------------------------------------------------------------------------- | ||
| // LLaMA Inference Main Entry | ||
| // ----------------------------------------------------------------------------- | ||
|
|
||
| int main() { | ||
| /// Print the title of this example. | ||
| const std::string title = "LLaMA 2 Inference Powered by Buddy Compiler"; | ||
| std::cout << "\033[33;1m" << title << "\033[0m" << std::endl; | ||
|
|
||
| /// Define directories of vacabulary and parameter file. | ||
| const std::string vocabDir = "../../examples/BuddyLlama/vocab.txt"; | ||
| const std::string paramsDir = "../../examples/BuddyLlama/arg0.data"; | ||
|
|
||
| /// Get user message. | ||
| std::string inputStr; | ||
| getUserInput(inputStr); | ||
|
|
||
| /// Initialize data containers | ||
| // - Input container. | ||
| // - Result container | ||
| // - Output container. | ||
| // - Parameters container. | ||
| Text<size_t, 2> outputContainer; | ||
| MemRef<float, 3> resultContainer[2] = { | ||
| MemRef<float, 3>({1, MaxTokenLength, MaxVocabSize}, false, 0), | ||
| MemRef<float, 3>({1, MaxTokenLength, HiddenSize}, false, 0)}; | ||
| Text<size_t, 2> inputContainer(inputStr); | ||
| MemRef<float, 1> paramsContainer({ParamsSize}); | ||
|
|
||
| /// Fill data into containers | ||
| // - Input: register vocabulary and tokenize the input string. | ||
| // - Output: register vocabulary. | ||
| // - Parameters: load parameters from the `arg0` file into the container. | ||
| tokenizeInput(vocabDir, inputContainer); | ||
| outputContainer.loadVocab(vocabDir); | ||
| loadParameters(paramsDir, paramsContainer); | ||
|
|
||
| /// Run LLaMA Inference | ||
| // - Perform the forward function. | ||
| // - Find and append the generated token. | ||
| // - Continue iterating until the terminal condition is met. | ||
| int generateLen = MaxTokenLength - inputContainer.getTokenCnt(); | ||
| for (int i = 0; i < generateLen; i++) { | ||
| const auto inferenceStart = std::chrono::high_resolution_clock::now(); | ||
| // Execute the forward pass of the model. | ||
| _mlir_ciface_forward(resultContainer, ¶msContainer, &inputContainer); | ||
|
|
||
| const auto inferenceEnd = std::chrono::high_resolution_clock::now(); | ||
| const std::chrono::duration<double, std::milli> inferenceTime = | ||
| inferenceEnd - inferenceStart; | ||
|
|
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| // Determine the generated token. | ||
| int tokenIndex = inputContainer.getTokenCnt() - 1; | ||
| const float *startPtr = | ||
| resultContainer[0].getData() + tokenIndex * MaxVocabSize; | ||
| const float *endPtr = startPtr + MaxVocabSize; | ||
| int maxIndex = findMaxIndex(startPtr, endPtr); | ||
| std::string tok = inputContainer.getStr(maxIndex); | ||
| // Print the generated token and inference time. | ||
| printIterInfo(i, tok, inferenceTime.count() / 1000); | ||
|
|
||
| // Stop if a separator token (2, </s>) or line break token (13 <0x0A>) is | ||
| // generated. | ||
| if (maxIndex == 2) { | ||
| break; | ||
| } | ||
| // Append the generated token into the input and output container. | ||
| inputContainer.appendTokenIdx(maxIndex); | ||
| outputContainer.appendTokenIdx(maxIndex); | ||
| free(resultContainer[0].release()); | ||
| free(resultContainer[1].release()); | ||
| } | ||
|
|
||
| /// Print the final result | ||
| std::cout << "\n\033[33;1m[Input]\033[0m " << inputStr << std::endl; | ||
| std::cout << "\033[33;1m[Output]\033[0m " << outputContainer.revertLlama() | ||
| << std::endl; | ||
|
|
||
| return 0; | ||
| } |