mirror of
https://github.com/ggerganov/llama.cpp.git
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1b9ae5189c
* (wip) argparser v3 * migrated * add test * handle env * fix linux build * add export-docs example * fix build (2) * skip build test-arg-parser on windows * update server docs * bring back missing --alias * bring back --n-predict * clarify test-arg-parser * small correction * add comments * fix args with 2 values * refine example-specific args * no more lamba capture Co-authored-by: slaren@users.noreply.github.com * params.sparams * optimize more * export-docs --> gen-docs
97 lines
3.4 KiB
C++
97 lines
3.4 KiB
C++
#include <string>
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#include <vector>
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#include <sstream>
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#undef NDEBUG
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#include <cassert>
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#include "common.h"
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int main(void) {
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gpt_params params;
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printf("test-arg-parser: make sure there is no duplicated arguments in any examples\n\n");
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for (int ex = 0; ex < LLAMA_EXAMPLE_COUNT; ex++) {
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try {
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gpt_params_parser_init(params, (enum llama_example)ex);
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} catch (std::exception & e) {
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printf("%s\n", e.what());
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assert(false);
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}
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}
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auto list_str_to_char = [](std::vector<std::string> & argv) -> std::vector<char *> {
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std::vector<char *> res;
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for (auto & arg : argv) {
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res.push_back(const_cast<char *>(arg.data()));
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}
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return res;
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};
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std::vector<std::string> argv;
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auto options = gpt_params_parser_init(params, LLAMA_EXAMPLE_COMMON);
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printf("test-arg-parser: test invalid usage\n\n");
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argv = {"binary_name", "-m"};
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assert(false == gpt_params_parse(argv.size(), list_str_to_char(argv).data(), params, options));
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argv = {"binary_name", "-ngl", "hello"};
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assert(false == gpt_params_parse(argv.size(), list_str_to_char(argv).data(), params, options));
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argv = {"binary_name", "-sm", "hello"};
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assert(false == gpt_params_parse(argv.size(), list_str_to_char(argv).data(), params, options));
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printf("test-arg-parser: test valid usage\n\n");
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argv = {"binary_name", "-m", "model_file.gguf"};
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assert(true == gpt_params_parse(argv.size(), list_str_to_char(argv).data(), params, options));
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assert(params.model == "model_file.gguf");
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argv = {"binary_name", "-t", "1234"};
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assert(true == gpt_params_parse(argv.size(), list_str_to_char(argv).data(), params, options));
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assert(params.cpuparams.n_threads == 1234);
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argv = {"binary_name", "--verbose"};
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assert(true == gpt_params_parse(argv.size(), list_str_to_char(argv).data(), params, options));
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assert(params.verbosity == 1);
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argv = {"binary_name", "-m", "abc.gguf", "--predict", "6789", "--batch-size", "9090"};
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assert(true == gpt_params_parse(argv.size(), list_str_to_char(argv).data(), params, options));
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assert(params.model == "abc.gguf");
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assert(params.n_predict == 6789);
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assert(params.n_batch == 9090);
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// skip this part on windows, because setenv is not supported
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#ifdef _WIN32
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printf("test-arg-parser: skip on windows build\n");
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#else
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printf("test-arg-parser: test environment variables (valid + invalid usages)\n\n");
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setenv("LLAMA_ARG_THREADS", "blah", true);
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argv = {"binary_name"};
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assert(false == gpt_params_parse(argv.size(), list_str_to_char(argv).data(), params, options));
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setenv("LLAMA_ARG_MODEL", "blah.gguf", true);
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setenv("LLAMA_ARG_THREADS", "1010", true);
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argv = {"binary_name"};
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assert(true == gpt_params_parse(argv.size(), list_str_to_char(argv).data(), params, options));
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assert(params.model == "blah.gguf");
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assert(params.cpuparams.n_threads == 1010);
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printf("test-arg-parser: test environment variables being overwritten\n\n");
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setenv("LLAMA_ARG_MODEL", "blah.gguf", true);
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setenv("LLAMA_ARG_THREADS", "1010", true);
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argv = {"binary_name", "-m", "overwritten.gguf"};
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assert(true == gpt_params_parse(argv.size(), list_str_to_char(argv).data(), params, options));
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assert(params.model == "overwritten.gguf");
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assert(params.cpuparams.n_threads == 1010);
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#endif // _WIN32
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printf("test-arg-parser: all tests OK\n\n");
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}
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