Merge eacb0d59c2 into 11f385066a

.github/workflows/build-commit.yml

@@ -92,7 +92,7 @@ jobs:
         submodules: true
 
     - name: Install Dependencies
-      run: sudo apt-get update && sudo apt-get install -yq libboost-dev libasio-dev libboost-thread-dev
+      run: sudo apt-get update && sudo apt-get install -yq libboost-dev libasio-dev
 
     - name: Install OpenBlas
       if: ${{ matrix.build == 'avx2-openblas' }}
@@ -207,7 +207,6 @@ jobs:
           $msvc = $(join-path $vcdir $('VC\Tools\MSVC\'+$(gc -raw $(join-path $vcdir 'VC\Auxiliary\Build\Microsoft.VCToolsVersion.default.txt')).Trim()))
           $lib =  $(join-path $msvc 'bin\Hostx64\x64\lib.exe')
           & $lib /machine:x64 "/def:${env:RUNNER_TEMP}/openblas/lib/libopenblas.def" "/out:${env:RUNNER_TEMP}/openblas/lib/openblas.lib" /name:openblas.dll
-
       - name: Build
         id: cmake_build
         env:
@@ -215,7 +214,7 @@ jobs:
         run: |
           mkdir build
           cd build
-          cmake .. ${{ matrix.defines }} -DBoost_LIBRARYDIRS=${{ steps.install-boost.outputs.BOOST_ROOT }}/lib
+          cmake .. ${{ matrix.defines }}
           cmake --build . --config Release --target turbopilot
 
       # - name: Add libopenblas.dll

CMakeLists.txt

@@ -1,15 +1,5 @@
 cmake_minimum_required (VERSION 3.0)
 project(turbopilot VERSION 0.1.0)
-set(CMAKE_CXX_STANDARD 11)
-set(CMAKE_CXX_STANDARD_REQUIRED true)
-set(CMAKE_C_STANDARD 11)
-set(CMAKE_C_STANDARD_REQUIRED true)
-set(THREADS_PREFER_PTHREAD_FLAG ON)
-find_package(Threads REQUIRED)
-
-
-# option(BUILD_SHARED_LIBS "Build using shared libraries" OFF)
-
 
 set(CMAKE_EXPORT_COMPILE_COMMANDS "on")
 set(CMAKE_RUNTIME_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/bin)
@@ -37,9 +27,6 @@ if (${CMAKE_SYSTEM_PROCESSOR} MATCHES "arm" OR ${CMAKE_SYSTEM_PROCESSOR} MATCHES
 endif()
 
 
-
-
-
 add_subdirectory(extern/ggml)
 add_subdirectory(extern/argparse)
 add_subdirectory(extern/spdlog)
@@ -48,13 +35,10 @@ if (GGML_STATIC)
     SET(CMAKE_FIND_LIBRARY_SUFFIXES ".a")
     SET(BUILD_SHARED_LIBS OFF)
     SET(CMAKE_EXE_LINKER_FLAGS "-static")
-
-    # if(GGML_OPENBLAS)
-    #     set(BLA_STATIC ON)
-    # endif()
 endif()
 
 
+
 add_subdirectory(src)
 
 set(CMAKE_RUNTIME_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/bin)

Dockerfile.cuda11

@@ -7,7 +7,7 @@ RUN apt-get update && apt-get install ca-certificates gpg wget
 RUN wget -O - https://apt.kitware.com/keys/kitware-archive-latest.asc 2>/dev/null | gpg --dearmor - | tee /usr/share/keyrings/kitware-archive-keyring.gpg >/dev/null
 RUN echo 'deb [signed-by=/usr/share/keyrings/kitware-archive-keyring.gpg] https://apt.kitware.com/ubuntu/ jammy main' | tee /etc/apt/sources.list.d/kitware.list >/dev/null
 
-RUN apt-get update && apt-get install -y build-essential cmake libboost-dev libboost-thread-dev
+RUN apt-get update && apt-get install -y build-essential cmake libboost-dev
 
 
 ADD ./ /turbopilot

Dockerfile.cuda12

@@ -7,7 +7,7 @@ RUN apt-get update && apt-get install ca-certificates gpg wget
 RUN wget -O - https://apt.kitware.com/keys/kitware-archive-latest.asc 2>/dev/null | gpg --dearmor - | tee /usr/share/keyrings/kitware-archive-keyring.gpg >/dev/null
 RUN echo 'deb [signed-by=/usr/share/keyrings/kitware-archive-keyring.gpg] https://apt.kitware.com/ubuntu/ focal main' | tee /etc/apt/sources.list.d/kitware.list >/dev/null
 
-RUN apt-get update && apt-get install -y build-essential cmake libboost-dev libboost-thread-dev
+RUN apt-get update && apt-get install -y build-essential cmake libboost-dev
 
 ADD ./ /turbopilot
 

Dockerfile.default

@@ -1,6 +1,6 @@
 FROM alpine AS build
 
-RUN apk add --update alpine-sdk boost-dev cmake asio-dev 
+RUN apk add --update alpine-sdk boost-dev cmake asio-dev
 
 ADD ./ /turbopilot/
 

MODELS.md

@@ -6,9 +6,9 @@
 
 | Model Name          | RAM Requirement | Direct Download  | HF Project Link |
 |---------------------|-----------------|-----------------|-----------------|
-| StableCode   | ~3GiB        |   [:arrow_down:](https://huggingface.co/TheBloke/stablecode-instruct-alpha-3b-GGML/blob/main/stablecode-instruct-alpha-3b.ggmlv1.q4_0.bin)           |   [:hugs:](https://huggingface.co/TheBloke/stablecode-instruct-alpha-3b-GGML/)           |
+| StarCoder   | ~3GiB        |   [:arrow_down:](https://huggingface.co/TheBloke/stablecode-instruct-alpha-3b-GGML/blob/main/stablecode-instruct-alpha-3b.ggmlv1.q4_0.bin)           |   [:hugs:](https://huggingface.co/TheBloke/stablecode-instruct-alpha-3b-GGML/)           |
+
 
-To run in Turbopilot set model type `-m stablecode`
 
 ## "Coder" family models
 
@@ -23,7 +23,7 @@ This model is primarily trained on Python, Java and Javscript.
 
 | Model Name          | RAM Requirement | Direct Download  | HF Project Link |
 |---------------------|-----------------|-----------------|-----------------|
-| SantaCoder   | ~2GiB        |   [:arrow_down:](https://huggingface.co/mike-ravkine/gpt_bigcode-santacoder-GGML/resolve/main/santacoder-q4_0.bin)           |   [:hugs:](https://huggingface.co/mike-ravkine/gpt_bigcode-santacoder-GGML/)           |
+| StarCoder   | ~2GiB        |   [:arrow_down:](https://huggingface.co/mike-ravkine/gpt_bigcode-santacoder-GGML/resolve/main/santacoder-q4_0.bin)           |   [:hugs:](https://huggingface.co/mike-ravkine/gpt_bigcode-santacoder-GGML/)           |
 
 To run in Turbopilot set model type `-m starcoder`
 
@@ -39,7 +39,7 @@ Even when quantized, WizardCoder is a large model that takes up a significant am
 |---------------------|-----------------|-----------------|-----------------|
 | WizardCoder   | ~12GiB        |   [:arrow_down:](https://huggingface.co/TheBloke/WizardCoder-15B-1.0-GGML/resolve/main/WizardCoder-15B-1.0.ggmlv3.q4_0.bin)           |   [:hugs:](https://huggingface.co/TheBloke/WizardCoder-15B-1.0-GGML/)           |
 
-To run in Turbopilot set model type `-m wizardcoder`
+To run in Turbopilot set model type `-m starcoder`
 
 
 ### StarCoder (Released 4/5/2023)

include/turbopilot/gptj.hpp

@@ -71,7 +71,7 @@ public:
     }
     virtual ~GPTJModel();
     bool load_model(std::string path);
-    virtual std::stringstream predict_impl(std::string prompt, int max_length, bool include_prompt);
+    virtual std::stringstream predict(std::string prompt, int max_length, bool include_prompt);
 
 private:
     gptj_model *model = NULL;

include/turbopilot/gptneox.hpp

@@ -75,7 +75,7 @@ public:
     }
     virtual ~GPTNEOXModel();
     bool load_model(std::string path);
-    virtual std::stringstream predict_impl(std::string prompt, int max_length, bool include_prompt);
+    virtual std::stringstream predict(std::string prompt, int max_length, bool include_prompt);
 
 private:
     gpt_neox_model *model = NULL;

include/turbopilot/model.hpp

@@ -7,7 +7,6 @@
 #include <map>
 #include <vector>
 #include <random>
-#include <mutex>
 
 typedef void (*offload_func_t)(struct ggml_tensor * tensor);
 void ggml_nop(struct ggml_tensor * tensor);
@@ -55,16 +54,11 @@ public:
         rng(rng) 
     {}
     virtual bool load_model(std::string model_path) = 0;
-    std::stringstream predict(std::string prompt, int max_length, bool include_prompt);
+    virtual std::stringstream predict(std::string prompt, int max_length, bool include_prompt) = 0;
-    void lock();
-    void unlock();
-
 
 protected:
-    virtual std::stringstream predict_impl(std::string prompt, int max_length, bool include_prompt) = 0;
     ModelConfig config;
     std::mt19937 &rng;
-    std::mutex model_lock;
 };
 
 #endif //__TURBOPILOT_MODEL_H

include/turbopilot/server.hpp

@@ -2,8 +2,6 @@
 #define __TURBOPILOT_SERVER_H
 
 
-#include <spdlog/spdlog.h>
-
 #include "turbopilot/model.hpp"
 
 #include "crow_all.h"
@@ -12,46 +10,6 @@ crow::response handle_openai_request(TurbopilotModel *model, const crow::request
 
 crow::response handle_hf_request(TurbopilotModel *model, const crow::request& req);
 
-class TBPLogger : public crow::ILogHandler {
- public:
-  TBPLogger() {}
-  void log(std::string message, crow::LogLevel crow_level) {
-    // "message" doesn't contain the timestamp and loglevel
-    // prefix the default logger does and it doesn't end
-    // in a newline.
-
-    spdlog::level::level_enum level = spdlog::level::info;
-
-    switch(crow_level){
-        case crow::LogLevel::Critical:
-            level = spdlog::level::critical;
-            break;
-
-        case crow::LogLevel::Error:
-            level = spdlog::level::err;
-            break;
-
-        case crow::LogLevel::Warning:
-            level = spdlog::level::warn;
-            break;
-
-        case crow::LogLevel::Info:
-            level = spdlog::level::info;
-            break;
-
-        case crow::LogLevel::Debug:
-            level = spdlog::level::debug;
-            break;
-
-        default:
-            // if case is not a known value, assume the worst
-            level = spdlog::level::critical;
-    }
-
-    spdlog::log(level, message);
-  }
-};
-
 
 #endif // __TURBOPILOT_SERVER_H
 

include/turbopilot/starcoder.hpp

@@ -68,7 +68,7 @@ public:
     }
     virtual ~StarcoderModel();
     bool load_model(std::string path);
-    virtual std::stringstream predict_impl(std::string prompt, int max_length, bool include_prompt);
+    virtual std::stringstream predict(std::string prompt, int max_length, bool include_prompt);
 
 private:
     starcoder_model *model = NULL;

src/CMakeLists.txt

@@ -1,7 +1,6 @@
 set(TURBOPILOT_TARGET turbopilot)
 
-find_package(Boost COMPONENTS thread system REQUIRED)
+find_package(Boost REQUIRED)
-
 include_directories(${Boost_INCLUDE_DIRS})
 
 add_executable(${TURBOPILOT_TARGET} 
@@ -17,9 +16,6 @@ add_executable(${TURBOPILOT_TARGET}
   ../include/turbopilot/starcoder.hpp
   )
 
-#set(THREADS_PREFER_PTHREAD_FLAG TRUE)
-#find_package(Threads REQUIRED)
-
 
 target_include_directories(${TURBOPILOT_TARGET} PRIVATE
   ../include
@@ -27,6 +23,8 @@ target_include_directories(${TURBOPILOT_TARGET} PRIVATE
   ../extern/crow/include
 )
 
-#target_compile_features(${TURBOPILOT_TARGET} PRIVATE cxx_std_11)
 
-target_link_libraries(${TURBOPILOT_TARGET} PRIVATE ggml argparse)
+target_link_libraries(${TURBOPILOT_TARGET} PRIVATE ggml argparse)
+
+
+#target_link_libraries(${TURBOPILOT_TARGET} PRIVATE spdlog::spdlog_header_only)

src/common.cpp

@@ -4,22 +4,6 @@
 #include <cmath>
 #include <random>
 
-
-void TurbopilotModel::lock(){
-    this->model_lock.lock();
-}
-
-void TurbopilotModel::unlock(){
-    this->model_lock.unlock();
-}
-
-std::stringstream TurbopilotModel::predict(std::string prompt, int max_length, bool include_prompt){
-    lock();
-    auto result = predict_impl(prompt, max_length, include_prompt);
-    unlock();
-    return result;
-}
-
 void llama_nop(struct ggml_tensor * tensor) { // don't offload by default
     (void) tensor;
 }
@@ -179,6 +163,4 @@ gpt_vocab::id gpt_sample_top_k_top_p(
     int idx = dist(rng);
 
     return logits_id[idx].second;
-}
+}
-
-

src/gptj.cpp

@@ -556,7 +556,7 @@ bool GPTJModel::load_model(std::string fname) {
     return true;
 }
 
-std::stringstream GPTJModel::predict_impl(std::string prompt, int max_length, bool include_prompt) {
+std::stringstream GPTJModel::predict(std::string prompt, int max_length, bool include_prompt) {
 
     std::stringstream result;
     // tokenize the prompt

src/gptneox.cpp

@@ -91,7 +91,6 @@ bool gpt_neox_eval(
         const size_t buf_size_new = 1.1*(mem_per_token*N); // add 10% to account for ggml object overhead
         //printf("\n%s: reallocating buffer from %zu to %zu bytes\n", __func__, buf_size, buf_size_new);
 
-        
         // reallocate
         buf_size = buf_size_new;
         buf = realloc(buf, buf_size);
@@ -99,8 +98,6 @@ bool gpt_neox_eval(
             fprintf(stderr, "%s: failed to allocate %zu bytes\n", __func__, buf_size);
             return false;
         }
-
-        spdlog::debug("{}: reallocating context buffer {} -> now {} bytes of tokens in prompt = {}", __func__, buf_size, buf_size_new);
     }
 
     struct ggml_init_params params = {
@@ -286,7 +283,6 @@ bool gpt_neox_eval(
     //    ggml_graph_print   (&gf);
     //    ggml_graph_dump_dot(&gf, NULL, "gpt-2.dot");
     //}
-    
 
     //embd_w.resize(n_vocab*N);
     //memcpy(embd_w.data(), ggml_get_data(inpL), sizeof(float)*n_vocab*N);
@@ -297,9 +293,7 @@ bool gpt_neox_eval(
 
     if (mem_per_token == 0) {
         mem_per_token = ggml_used_mem(ctx0)/N;
-        
     }
-    spdlog::debug("used_mem = {}\n", ggml_used_mem(ctx0));
     //printf("used_mem = %zu\n", ggml_used_mem(ctx0));
 
     ggml_free(ctx0);
@@ -618,7 +612,7 @@ bool GPTNEOXModel::load_model(std::string fname) {
     return true;
 }
 
-std::stringstream GPTNEOXModel::predict_impl(std::string prompt, int max_length, bool include_prompt) {
+std::stringstream GPTNEOXModel::predict(std::string prompt, int max_length, bool include_prompt) {
 
     std::stringstream result;
     // tokenize the prompt
@@ -637,8 +631,6 @@ std::stringstream GPTNEOXModel::predict_impl(std::string prompt, int max_length,
 
     std::vector<gpt_vocab::id> embd;
 
-
-
     // determine the required inference memory per token:
     size_t mem_per_token = 0;
 
@@ -725,4 +717,3 @@ std::stringstream GPTNEOXModel::predict_impl(std::string prompt, int max_length,
 
     return result;
 }
-

src/main.cpp

@@ -60,11 +60,6 @@ int main(int argc, char **argv)
         .default_value(0.1f)
         .scan<'g', float>();
 
-    program.add_argument("-b", "--batch-size")
-        .help("set batch size for model completion")
-        .default_value(512)
-        .scan<'i',int>();
-
 
     program.add_argument("prompt").remaining();
 
@@ -101,7 +96,6 @@ int main(int argc, char **argv)
     config.n_threads = program.get<int>("--threads");
     config.temp = program.get<float>("--temperature");
     config.top_p = program.get<float>("--top-p");
-    config.n_batch = program.get<int>("--batch-size");
 
     if(model_type.compare("codegen") == 0) {
         spdlog::info("Initializing GPT-J type model for '{}' model", model_type);
@@ -127,22 +121,16 @@ int main(int argc, char **argv)
     }
 
     t_load_us = ggml_time_us() - t_start_us;
-    
 
     spdlog::info("Loaded model in {:0.2f}ms", t_load_us/1000.0f);
 
 
     crow::SimpleApp app;
 
-    TBPLogger logger;
-
-    crow::logger::setHandler(&logger);
-
     CROW_ROUTE(app, "/")([](){
         return "Hello world";
     });
 
-
     CROW_ROUTE(app, "/copilot_internal/v2/token")([](){
         //return "Hello world";
 
@@ -180,7 +168,5 @@ int main(int argc, char **argv)
 
     app.port(program.get<int>("--port")).multithreaded().run();
 
-    
-
     free(model);
 }

src/server.cpp

@@ -37,6 +37,7 @@ crow::response handle_hf_request(TurbopilotModel *model, const crow::request& re
         crow::json::wvalue response = {
             {"generated_text", result.str()},
         };
+        
 
         
         crow::response res;

src/starcoder.cpp

@@ -44,13 +44,13 @@ bool starcoder_eval(
 
     if (mem_per_token > 0 && mem_per_token*N > buf_size) {
         const size_t buf_size_new = 1.1*(mem_per_token*N); // add 10% to account for ggml object overhead
-        spdlog::debug("{}: reallocating buffer from {} to {} bytes\n", __func__, buf_size, buf_size_new);
+        //printf("\n%s: reallocating buffer from %zu to %zu bytes\n", __func__, buf_size, buf_size_new);
 
         // reallocate
         buf_size = buf_size_new;
         buf = realloc(buf, buf_size);
         if (buf == nullptr) {
-            spdlog::error("{}: failed to allocate {} bytes\n", __func__, buf_size);
+            fprintf(stderr, "%s: failed to allocate %zu bytes\n", __func__, buf_size);
             return false;
         }
     }
@@ -681,7 +681,7 @@ bool StarcoderModel::load_model(std::string fname) {
 }
 
 
-std::stringstream StarcoderModel::predict_impl(std::string prompt, int max_length, bool include_prompt) {
+std::stringstream StarcoderModel::predict(std::string prompt, int max_length, bool include_prompt) {
 
     std::stringstream result;
     // tokenize the prompt