mirror of https://github.com/google/gemma.cpp.git
move arg definitions out of gemma.h to app.h
This commit is contained in:
parent
5d323c00fe
commit
60d054e041
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@ -35,7 +35,7 @@ if (BUILD_MODE STREQUAL "local")
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else()
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else()
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FetchContent_Declare(gemma GIT_REPOSITORY https://github.com/google/gemma.cpp.git GIT_TAG 8c7b2cf61b9794b806de091685dc6739dd3db837)
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FetchContent_Declare(gemma GIT_REPOSITORY https://github.com/google/gemma.cpp.git GIT_TAG 8c7b2cf61b9794b806de091685dc6739dd3db837)
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endif()
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endif()
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FetchContent_MakeAvailabl(gemma)
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FetchContent_MakeAvailable(gemma)
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if(NOT CMAKE_BUILD_TYPE)
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if(NOT CMAKE_BUILD_TYPE)
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set(CMAKE_BUILD_TYPE "Release")
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set(CMAKE_BUILD_TYPE "Release")
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@ -21,6 +21,9 @@
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// copybara:import_next_line:gemma_cpp
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// copybara:import_next_line:gemma_cpp
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#include "util/args.h"
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#include "util/args.h"
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// copybara:end
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// copybara:end
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// copybara:import_next_line:gemma_cpp
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#include "util/app.h" // LoaderArgs
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// copybara:end
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#include "hwy/contrib/thread_pool/thread_pool.h"
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#include "hwy/contrib/thread_pool/thread_pool.h"
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std::vector<int> tokenize(
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std::vector<int> tokenize(
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118
gemma.h
118
gemma.h
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@ -71,124 +71,6 @@ struct RuntimeConfig {
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int verbosity;
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int verbosity;
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};
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};
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struct LoaderArgs : public ArgsBase<LoaderArgs> {
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LoaderArgs(int argc, char* argv[]) { InitAndParse(argc, argv); }
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static std::string ToLower(const std::string& text) {
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std::string result = text;
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std::transform(begin(result), end(result), begin(result),
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[](unsigned char c) { return std::tolower(c); });
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return result;
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}
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gcpp::Model ModelType() const {
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const std::string model_type_lc = ToLower(model_type);
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if (model_type_lc == "2b-pt" || model_type_lc == "2b-it") {
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return gcpp::Model::GEMMA_2B;
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} else {
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return gcpp::Model::GEMMA_7B;
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}
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}
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gcpp::ModelTraining ModelTraining() const {
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const std::string model_type_lc = ToLower(model_type);
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if (model_type_lc == "7b-pt" || model_type_lc == "2b-pt") {
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return gcpp::ModelTraining::GEMMA_PT;
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} else {
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return gcpp::ModelTraining::GEMMA_IT;
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}
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}
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// Returns error string or nullptr if OK.
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const char* Validate() const {
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const std::string model_type_lc = ToLower(model_type);
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if (model_type.empty()) {
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return "Missing --model flag, need to specify either 2b-pt, 7b-pt, "
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"2b-it, or 7b-it.";
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}
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if (model_type_lc != "2b-pt" && model_type_lc != "7b-pt" &&
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model_type_lc != "2b-it" && model_type_lc != "7b-it") {
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return "Model type must be 2b-pt, 7b-pt, 2b-it, or "
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"7b-it.";
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}
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if (tokenizer.path.empty()) {
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return "Missing --tokenizer flag, a file for the tokenizer is required.";
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}
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if (compressed_weights.path.empty()) {
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return "Missing --compressed_weights flag, a file for the compressed "
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"model.";
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}
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return nullptr;
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}
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Path tokenizer;
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Path weights; // uncompressed weights file location
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Path compressed_weights; // compressed weights file location
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std::string model_type;
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template <class Visitor>
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void ForEach(const Visitor& visitor) {
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visitor(tokenizer, "tokenizer", Path(),
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"Path name of tokenizer model file.\n Required argument.");
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visitor(
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compressed_weights, "compressed_weights", Path(),
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"Path name of compressed weights file, regenerated from `--weights` "
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"file if "
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"the compressed weights file does not exist.\n Required argument.");
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visitor(model_type, "model", std::string(),
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"Model type\n 2b-it = 2B parameters, instruction-tuned\n "
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"2b-pt = 2B parameters, pretrained\n 7b-it = 7B parameters "
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"instruction-tuned\n 7b-pt = 7B parameters, pretrained\n"
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" Required argument.");
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visitor(weights, "weights", Path(),
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"Path name of model weights (.sbs) file. Only required if "
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"compressed_weights file is not present and needs to be "
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"regenerated. This parameter is only required for compressing"
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"new model weight exports, otherwise it is not needed.");
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}
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};
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struct InferenceArgs : public ArgsBase<InferenceArgs> {
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InferenceArgs(int argc, char* argv[]) { InitAndParse(argc, argv); }
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size_t max_tokens;
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size_t max_generated_tokens;
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float temperature;
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bool deterministic;
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bool multiturn;
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// Returns error string or nullptr if OK.
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const char* Validate() const {
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if (max_tokens > gcpp::kSeqLen) {
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return "max_tokens is larger than the maximum sequence length (see "
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"configs.h).";
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}
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if (max_generated_tokens > max_tokens) {
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return "Maximum number of generated tokens is larger than the maximum "
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"total tokens.";
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}
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return nullptr;
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}
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template <class Visitor>
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void ForEach(const Visitor& visitor) {
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visitor(max_tokens, "max_tokens", size_t{3072},
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"Maximum number of tokens in prompt + generation.");
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visitor(max_generated_tokens, "max_generated_tokens", size_t{2048},
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"Maximum number of tokens to generate.");
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visitor(temperature, "temperature", 1.0f, "Temperature for top-K", 2);
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visitor(deterministic, "deterministic", false,
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"Make top-k sampling deterministic", 2);
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visitor(multiturn, "multiturn", false,
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"Multiturn mode\n 0 = clear KV cache after every "
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"interaction\n 1 = continue KV cache after every interaction\n "
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" Default : 0 (conversation "
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"resets every turn)");
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}
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};
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struct GemmaInterface;
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struct GemmaInterface;
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struct Gemma {
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struct Gemma {
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119
util/app.h
119
util/app.h
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@ -98,6 +98,125 @@ class AppArgs : public ArgsBase<AppArgs> {
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}
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}
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};
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};
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struct LoaderArgs : public ArgsBase<LoaderArgs> {
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LoaderArgs(int argc, char* argv[]) { InitAndParse(argc, argv); }
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static std::string ToLower(const std::string& text) {
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std::string result = text;
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std::transform(begin(result), end(result), begin(result),
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[](unsigned char c) { return std::tolower(c); });
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return result;
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}
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gcpp::Model ModelType() const {
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const std::string model_type_lc = ToLower(model_type);
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if (model_type_lc == "2b-pt" || model_type_lc == "2b-it") {
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return gcpp::Model::GEMMA_2B;
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} else {
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return gcpp::Model::GEMMA_7B;
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}
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}
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gcpp::ModelTraining ModelTraining() const {
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const std::string model_type_lc = ToLower(model_type);
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if (model_type_lc == "7b-pt" || model_type_lc == "2b-pt") {
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return gcpp::ModelTraining::GEMMA_PT;
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} else {
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return gcpp::ModelTraining::GEMMA_IT;
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}
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}
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// Returns error string or nullptr if OK.
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const char* Validate() const {
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const std::string model_type_lc = ToLower(model_type);
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if (model_type.empty()) {
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return "Missing --model flag, need to specify either 2b-pt, 7b-pt, "
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"2b-it, or 7b-it.";
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}
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if (model_type_lc != "2b-pt" && model_type_lc != "7b-pt" &&
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model_type_lc != "2b-it" && model_type_lc != "7b-it") {
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return "Model type must be 2b-pt, 7b-pt, 2b-it, or "
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"7b-it.";
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}
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if (tokenizer.path.empty()) {
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return "Missing --tokenizer flag, a file for the tokenizer is required.";
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}
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if (compressed_weights.path.empty()) {
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return "Missing --compressed_weights flag, a file for the compressed "
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"model.";
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}
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return nullptr;
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}
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Path tokenizer;
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Path weights; // uncompressed weights file location
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Path compressed_weights; // compressed weights file location
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std::string model_type;
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template <class Visitor>
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void ForEach(const Visitor& visitor) {
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visitor(tokenizer, "tokenizer", Path(),
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"Path name of tokenizer model file.\n Required argument.");
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visitor(
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compressed_weights, "compressed_weights", Path(),
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"Path name of compressed weights file, regenerated from `--weights` "
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"file if "
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"the compressed weights file does not exist.\n Required argument.");
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visitor(model_type, "model", std::string(),
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"Model type\n 2b-it = 2B parameters, instruction-tuned\n "
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"2b-pt = 2B parameters, pretrained\n 7b-it = 7B parameters "
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"instruction-tuned\n 7b-pt = 7B parameters, pretrained\n"
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" Required argument.");
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visitor(weights, "weights", Path(),
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"Path name of model weights (.sbs) file. Only required if "
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"compressed_weights file is not present and needs to be "
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"regenerated. This parameter is only required for compressing"
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"new model weight exports, otherwise it is not needed.");
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}
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};
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struct InferenceArgs : public ArgsBase<InferenceArgs> {
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InferenceArgs(int argc, char* argv[]) { InitAndParse(argc, argv); }
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size_t max_tokens;
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size_t max_generated_tokens;
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float temperature;
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bool deterministic;
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bool multiturn;
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// Returns error string or nullptr if OK.
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const char* Validate() const {
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if (max_tokens > gcpp::kSeqLen) {
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return "max_tokens is larger than the maximum sequence length (see "
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"configs.h).";
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}
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if (max_generated_tokens > max_tokens) {
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return "Maximum number of generated tokens is larger than the maximum "
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"total tokens.";
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}
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return nullptr;
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}
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template <class Visitor>
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void ForEach(const Visitor& visitor) {
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visitor(max_tokens, "max_tokens", size_t{3072},
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"Maximum number of tokens in prompt + generation.");
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visitor(max_generated_tokens, "max_generated_tokens", size_t{2048},
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"Maximum number of tokens to generate.");
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visitor(temperature, "temperature", 1.0f, "Temperature for top-K", 2);
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visitor(deterministic, "deterministic", false,
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"Make top-k sampling deterministic", 2);
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visitor(multiturn, "multiturn", false,
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"Multiturn mode\n 0 = clear KV cache after every "
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"interaction\n 1 = continue KV cache after every interaction\n "
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" Default : 0 (conversation "
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"resets every turn)");
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}
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};
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} // namespace gcpp
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} // namespace gcpp
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#endif // THIRD_PARTY_GEMMA_CPP_UTIL_APP_H_
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#endif // THIRD_PARTY_GEMMA_CPP_UTIL_APP_H_
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