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synced 2024-10-01 01:06:01 -04:00
Temporary fix for stablecode and starcoder on mac
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8fd357e0a5
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@ -84,20 +84,21 @@ bool gpt_neox_eval(
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const int n_vocab = hparams.n_vocab;
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const int n_rot = hparams.n_rot;
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static size_t buf_size = 256u*1024*1024;
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static size_t buf_size = 512u*1024*1024;
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static void * buf = malloc(buf_size);
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// use 2 scratch buffers
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// TODO: very hacky solution - reimplement in a more elegant way
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static size_t scr0_size = 256u*1024*1024;
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static size_t scr0_size = 512*1024*1024;
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static void * scr0 = malloc(scr0_size);
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static size_t scr1_size = 256u*1024*1024;
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static size_t scr1_size = 512*1024*1024;
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static void * scr1 = malloc(scr1_size);
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if (mem_per_token > 0 && mem_per_token*N > buf_size) {
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if (mem_per_token > 0 && (mem_per_token*N) > buf_size) {
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const size_t buf_size_new = 1.1*(mem_per_token*N); // add 10% to account for ggml object overhead
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//printf("\n%s: reallocating buffer from %zu to %zu bytes\n", __func__, buf_size, buf_size_new);
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spdlog::debug("{}: reallocating buffer from {} to {} bytes\n", __func__, buf_size, buf_size_new);
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// reallocate
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@ -107,8 +108,6 @@ bool gpt_neox_eval(
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fprintf(stderr, "%s: failed to allocate %zu bytes\n", __func__, buf_size);
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return false;
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}
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spdlog::debug("{}: reallocating context buffer {} -> now {} bytes of tokens in prompt = {}", __func__, buf_size, buf_size_new);
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}
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struct ggml_init_params params = {
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@ -303,12 +302,14 @@ bool gpt_neox_eval(
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embd_w.resize(n_vocab);
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memcpy(embd_w.data(), (float *) ggml_get_data(inpL) + (n_vocab*(N-1)), sizeof(float)*n_vocab);
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spdlog::debug("used_mem = {}\n", ggml_used_mem(ctx0));
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if (mem_per_token == 0) {
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mem_per_token = ggml_used_mem(ctx0)/N;
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mem_per_token = ggml_used_mem(ctx0) / N; //* 4;
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spdlog::debug("Set mem_per_token={} / {} * {} = {}", ggml_used_mem(ctx0), N, 4, mem_per_token);
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}
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spdlog::debug("used_mem = {}\n", ggml_used_mem(ctx0));
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//printf("used_mem = %zu\n", ggml_used_mem(ctx0));
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ggml_free(ctx0);
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@ -685,7 +686,13 @@ std::stringstream GPTNEOXModel::predict_impl(std::string prompt, int max_length,
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std::vector<float> logits;
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gpt_neox_eval((*model), config.n_threads, 0, { 0, 1, 2, 3 }, logits, mem_per_token);
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std::vector<gpt_vocab::id> test = {};
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for(int i=0;i<64;i++){
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test.push_back(i);
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}
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gpt_neox_eval((*model), config.n_threads, 0, test, logits, mem_per_token);
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const int64_t t_start_us = ggml_time_us();
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@ -37,7 +37,7 @@ bool starcoder_eval(
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const int n_head = hparams.n_head;
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const int n_vocab = hparams.n_vocab;
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static size_t buf_size = 256u*1024*1024;
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static size_t buf_size = 512u*1024*1024;
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static void * buf = malloc(buf_size);
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// use 2 scratch buffers
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@ -48,17 +48,21 @@ bool starcoder_eval(
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static size_t scr1_size = 512u*1024*1024;
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static void * scr1 = malloc(scr1_size);
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if (mem_per_token > 0 && mem_per_token*N > buf_size) {
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const size_t buf_size_new = 1.1*(mem_per_token*N); // add 10% to account for ggml object overhead
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spdlog::debug("{}: reallocating buffer from {} to {} bytes\n", __func__, buf_size, buf_size_new);
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if (mem_per_token > 0 && 2*mem_per_token*N > buf_size) {
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const size_t buf_size_new = 2*(mem_per_token*N); // add 10% to account for ggml object overhead
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// reallocate
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buf_size = buf_size_new;
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buf = realloc(buf, buf_size);
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if (buf == nullptr) {
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spdlog::error("{}: failed to allocate {} bytes\n", __func__, buf_size);
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return false;
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if(buf_size_new > buf_size){
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spdlog::debug("{}: reallocating buffer from {} to {} bytes\n", __func__, buf_size, buf_size_new);
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// reallocate
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buf_size = buf_size_new;
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buf = realloc(buf, buf_size);
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if (buf == nullptr) {
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spdlog::error("{}: failed to allocate {} bytes\n", __func__, buf_size);
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return false;
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}
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}
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}
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struct ggml_init_params params = {
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@ -67,6 +71,7 @@ bool starcoder_eval(
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/*.no_alloc =*/ false,
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};
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struct ggml_context * ctx0 = ggml_init(params);
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struct ggml_cgraph gf = {};
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@ -338,7 +343,9 @@ bool starcoder_eval(
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if (mem_per_token == 0) {
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mem_per_token = ggml_used_mem(ctx0)/N;
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}
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//printf("used_mem = %zu MB\n", ggml_used_mem(ctx0)/(1024*1024));
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spdlog::debug("{}: used mem buf={} bytes", __func__, ggml_used_mem(ctx0));
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ggml_free(ctx0);
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@ -743,11 +750,22 @@ std::stringstream StarcoderModel::predict_impl(std::string prompt, int max_lengt
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size_t mem_per_token = 0;
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std::vector<float> logits;
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std::vector<gpt_vocab::id> test = {};
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for(int i=0;i<64;i++){
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test.push_back(i);
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}
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spdlog::debug("{}: calculate required memory per token", __func__);
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starcoder_eval((*model), config.n_threads, 0, test, logits, mem_per_token);
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spdlog::debug("{}: mem_per_token={}", __func__, mem_per_token);
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spdlog::debug("{}: total mem needed for prompt = {}*{}={}", __func__, embd_inp.size(), mem_per_token, embd_inp.size()*mem_per_token);
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starcoder_eval((*model), config.n_threads, 0, { 0, 1, 2, 3 }, logits, mem_per_token);
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for (int i = embd.size(); i < embd_inp.size() + n_predict; i++) {
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// predict
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spdlog::debug("{}: process token #{}: ", __func__, i);
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if (embd.size() > 0) {
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const int64_t t_start_us = ggml_time_us();
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