mirror of
https://github.com/LostRuins/koboldcpp.git
synced 2026-09-18 16:55:14 +02:00
Merge branch 'upstream' into concedo_experimental
# Conflicts: # CODEOWNERS # common/CMakeLists.txt # ggml/CMakeLists.txt # ggml/src/ggml-webgpu/ggml-webgpu-shader-lib.hpp # ggml/src/ggml-webgpu/ggml-webgpu.cpp # ggml/src/ggml-webgpu/wgsl-shaders/common_decls.tmpl # ggml/src/ggml-webgpu/wgsl-shaders/mul_mat_vec.wgsl # scripts/sync-ggml.last # tools/cli/cli.cpp # tools/llama-bench/llama-bench.cpp # tools/perplexity/perplexity.cpp
This commit is contained in:
@@ -1,14 +1,12 @@
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#include "llama.h"
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#include "../src/llama-ext.h"
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#include "arg.h"
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#include "common.h"
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#include "fit.h"
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#include "log.h"
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#include <chrono>
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#include <cinttypes>
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#include <thread>
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using namespace std::chrono_literals;
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#if defined(_MSC_VER)
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#pragma warning(disable: 4244 4267) // possible loss of data
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@@ -19,49 +17,58 @@ int main(int argc, char ** argv) {
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common_init();
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if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_COMMON)) {
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if (!common_params_parse(argc, argv, params, LLAMA_EXAMPLE_FIT_PARAMS)) {
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return 1;
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}
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llama_backend_init();
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llama_numa_init(params.numa);
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auto mparams = common_model_params_to_llama(params);
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auto cparams = common_context_params_to_llama(params);
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const llama_params_fit_status status = llama_params_fit(params.model.path.c_str(), &mparams, &cparams,
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params.tensor_split, params.tensor_buft_overrides.data(), params.fit_params_target.data(), params.fit_params_min_ctx,
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params.verbosity >= 4 ? GGML_LOG_LEVEL_DEBUG : GGML_LOG_LEVEL_ERROR);
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if (status != LLAMA_PARAMS_FIT_STATUS_SUCCESS) {
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LOG_ERR("%s: failed to fit CLI arguments to free memory, exiting...\n", __func__);
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exit(1);
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}
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LOG_INF("%s: printing fitted CLI arguments to stdout...\n", __func__);
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common_log_flush(common_log_main());
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printf("-c %" PRIu32 " -ngl %" PRIi32, cparams.n_ctx, mparams.n_gpu_layers);
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if (!params.fit_params_print) {
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const common_params_fit_status status = common_fit_params(params.model.path.c_str(), &mparams, &cparams,
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params.tensor_split, params.tensor_buft_overrides.data(), params.fit_params_target.data(), params.fit_params_min_ctx,
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params.verbosity >= 4 ? GGML_LOG_LEVEL_DEBUG : GGML_LOG_LEVEL_ERROR);
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if (status != COMMON_PARAMS_FIT_STATUS_SUCCESS) {
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LOG_ERR("%s: failed to fit CLI arguments to free memory, exiting...\n", __func__);
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exit(1);
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}
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size_t nd = llama_max_devices();
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while (nd > 1 && mparams.tensor_split[nd - 1] == 0.0f) {
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nd--;
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}
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if (nd > 1) {
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for (size_t id = 0; id < nd; id++) {
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if (id == 0) {
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printf(" -ts ");
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LOG_INF("%s: printing fitted CLI arguments to stdout...\n", __func__);
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common_log_flush(common_log_main());
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printf("-c %" PRIu32 " -ngl %" PRIi32, cparams.n_ctx, mparams.n_gpu_layers);
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size_t nd = llama_max_devices();
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while (nd > 1 && mparams.tensor_split[nd - 1] == 0.0f) {
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nd--;
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}
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if (nd > 1) {
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for (size_t id = 0; id < nd; id++) {
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if (id == 0) {
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printf(" -ts ");
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}
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printf("%s%" PRIu32, id > 0 ? "," : "", uint32_t(mparams.tensor_split[id]));
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}
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printf("%s%" PRIu32, id > 0 ? "," : "", uint32_t(mparams.tensor_split[id]));
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}
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}
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const size_t ntbo = llama_max_tensor_buft_overrides();
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bool any_tbo = false;
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for (size_t itbo = 0; itbo < ntbo && mparams.tensor_buft_overrides[itbo].pattern != nullptr; itbo++) {
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if (itbo == 0) {
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printf(" -ot \"");
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const size_t ntbo = llama_max_tensor_buft_overrides();
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bool any_tbo = false;
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for (size_t itbo = 0; itbo < ntbo && mparams.tensor_buft_overrides[itbo].pattern != nullptr; itbo++) {
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if (itbo == 0) {
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printf(" -ot \"");
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}
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printf("%s%s=%s", itbo > 0 ? "," : "", mparams.tensor_buft_overrides[itbo].pattern, ggml_backend_buft_name(mparams.tensor_buft_overrides[itbo].buft));
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any_tbo = true;
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}
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printf("%s%s=%s", itbo > 0 ? "," : "", mparams.tensor_buft_overrides[itbo].pattern, ggml_backend_buft_name(mparams.tensor_buft_overrides[itbo].buft));
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any_tbo = true;
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printf("%s\n", any_tbo ? "\"" : "");
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} else {
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LOG_INF("%s: printing estimated memory in MiB to stdout (device, model, context, compute) ...\n", __func__);
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common_log_flush(common_log_main());
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common_fit_print(params.model.path.c_str(), &mparams, &cparams);
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}
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printf("%s\n", any_tbo ? "\"" : "");
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return 0;
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}
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+57
-33
@@ -33,10 +33,16 @@ struct mtmd_bitmap {
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bool is_audio = false; // true if the bitmap is audio
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};
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// position indexing for decoder model
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enum mtmd_pos_type {
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MTMD_POS_TYPE_NORMAL, // number of positions equals to number of tokens
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MTMD_POS_TYPE_MROPE, // qwen-vl mrope style, each image takes max(t,h,w) position indexes
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};
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struct mtmd_image_tokens {
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uint32_t nx; // number of tokens in x direction
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uint32_t ny; // number of tokens in y direction
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bool use_mrope_pos = false; // use M-RoPE position counting (the whole image is 1 temporal position)
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mtmd_pos_type pos = MTMD_POS_TYPE_NORMAL;
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uint32_t n_tokens() const { return nx * ny; }
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clip_image_f32_batch batch_f32; // preprocessed image patches
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std::string id; // optional user-defined ID, useful for KV cache tracking
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@@ -45,7 +51,7 @@ struct mtmd_image_tokens {
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return mtmd_image_tokens{
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nx,
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ny,
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use_mrope_pos,
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pos,
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batch_f32.clone(),
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id
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};
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@@ -131,6 +137,7 @@ struct mtmd_context {
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int n_threads;
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std::string media_marker;
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const int n_embd_text;
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mtmd_pos_type pos_type;
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// these are not token, but strings used to mark the beginning and end of image/audio embeddings
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std::string img_beg;
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@@ -177,6 +184,22 @@ struct mtmd_context {
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throw std::runtime_error("media_marker must not be empty");
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}
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auto decoder_rope_type = llama_model_rope_type(text_model);
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switch (decoder_rope_type) {
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case LLAMA_ROPE_TYPE_NORM:
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case LLAMA_ROPE_TYPE_NEOX:
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{
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pos_type = MTMD_POS_TYPE_NORMAL;
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} break;
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case LLAMA_ROPE_TYPE_MROPE:
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case LLAMA_ROPE_TYPE_IMROPE:
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{
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pos_type = MTMD_POS_TYPE_MROPE;
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} break;
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default:
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throw std::runtime_error(string_format("unsupported decoder rope type: %d\n", decoder_rope_type));
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}
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clip_context_params ctx_clip_params {
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/* use_gpu */ ctx_params.use_gpu,
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/* flash_attn_type */ mtmd_get_clip_flash_attn_type(ctx_params.flash_attn_type),
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@@ -777,12 +800,12 @@ struct mtmd_tokenizer {
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// for Qwen2VL, we need this information for M-RoPE decoding positions
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image_tokens->nx = clip_n_output_tokens_x(ctx->ctx_v, batch_f32.entries[0].get());
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image_tokens->ny = clip_n_output_tokens_y(ctx->ctx_v, batch_f32.entries[0].get());
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image_tokens->use_mrope_pos = true;
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} else {
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// other models, we only need the total number of tokens
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image_tokens->nx = n_tokens;
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image_tokens->ny = 1;
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}
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image_tokens->pos = ctx->pos_type;
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image_tokens->batch_f32 = std::move(batch_f32);
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image_tokens->id = bitmap->id; // optional
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@@ -1014,7 +1037,7 @@ float * mtmd_get_output_embd(mtmd_context * ctx) {
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return ctx->image_embd_v.data();
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}
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bool mtmd_decode_use_non_causal(mtmd_context * ctx, const mtmd_input_chunk * chunk) {
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bool mtmd_decode_use_non_causal(const mtmd_context * ctx, const mtmd_input_chunk * chunk) {
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auto proj_type = ctx->proj_type_v();
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if (chunk && chunk->type == MTMD_INPUT_CHUNK_TYPE_AUDIO) {
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proj_type = ctx->proj_type_a();
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@@ -1028,32 +1051,19 @@ bool mtmd_decode_use_non_causal(mtmd_context * ctx, const mtmd_input_chunk * chu
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}
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}
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bool mtmd_decode_use_mrope(mtmd_context * ctx) {
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if (ctx->ctx_v == nullptr && ctx->proj_type_a() == PROJECTOR_TYPE_QWEN3A) {
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// qwen3-asr
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return true;
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}
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switch (ctx->proj_type_v()) {
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case PROJECTOR_TYPE_QWEN2VL:
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case PROJECTOR_TYPE_QWEN25VL:
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case PROJECTOR_TYPE_QWEN3VL:
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case PROJECTOR_TYPE_GLM4V:
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case PROJECTOR_TYPE_PADDLEOCR:
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return true;
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default:
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return false;
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}
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bool mtmd_decode_use_mrope(const mtmd_context * ctx) {
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return ctx->pos_type == MTMD_POS_TYPE_MROPE;
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}
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bool mtmd_support_vision(mtmd_context * ctx) {
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bool mtmd_support_vision(const mtmd_context * ctx) {
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return ctx->ctx_v != nullptr;
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}
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bool mtmd_support_audio(mtmd_context * ctx) {
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bool mtmd_support_audio(const mtmd_context * ctx) {
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return ctx->ctx_a != nullptr;
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}
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int mtmd_get_audio_sample_rate(mtmd_context * ctx) {
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int mtmd_get_audio_sample_rate(const mtmd_context * ctx) {
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if (!ctx->ctx_a) {
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return -1;
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}
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@@ -1248,12 +1258,24 @@ size_t mtmd_image_tokens_get_ny(const mtmd_image_tokens * image_tokens) {
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mtmd_decoder_pos mtmd_image_tokens_get_decoder_pos(const mtmd_image_tokens * image_tokens, llama_pos pos_0, size_t i) {
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mtmd_decoder_pos pos;
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// M-RoPE logic
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// TODO: support other types of position encoding if needed
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pos.t = pos_0;
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pos.x = pos_0 + (i % image_tokens->nx);
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pos.y = pos_0 + (i / image_tokens->nx);
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pos.z = 0; // unused for now
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switch (image_tokens->pos) {
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case MTMD_POS_TYPE_MROPE:
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{
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pos.t = pos_0;
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pos.x = pos_0 + (i % image_tokens->nx);
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pos.y = pos_0 + (i / image_tokens->nx);
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pos.z = 0; // unused for now
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} break;
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case MTMD_POS_TYPE_NORMAL:
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{
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pos.t = pos_0 + i;
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pos.x = pos_0 + i;
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pos.y = pos_0 + i;
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pos.z = pos_0 + i;
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} break;
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default:
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GGML_ABORT("invalid position type");
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}
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return pos;
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}
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@@ -1262,12 +1284,14 @@ const char * mtmd_image_tokens_get_id(const mtmd_image_tokens * image_tokens) {
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}
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llama_pos mtmd_image_tokens_get_n_pos(const mtmd_image_tokens * image_tokens) {
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if (image_tokens->use_mrope_pos) {
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// for M-RoPE, temporal dimension = max(t,h,w)
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// t is omitted as we don't support video input
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return std::max(image_tokens->nx, image_tokens->ny);
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switch (image_tokens->pos) {
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case MTMD_POS_TYPE_MROPE:
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return std::max(image_tokens->nx, image_tokens->ny);
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case MTMD_POS_TYPE_NORMAL:
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return image_tokens->n_tokens();
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default:
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GGML_ABORT("invalid position type");
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}
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return image_tokens->n_tokens();
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}
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// test function
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+5
-5
@@ -112,20 +112,20 @@ MTMD_API void mtmd_free(mtmd_context * ctx);
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// whether we need to set non-causal mask before llama_decode
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// if chunk is nullptr, we assume the default case where chunk is an image chunk
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MTMD_API bool mtmd_decode_use_non_causal(mtmd_context * ctx, const mtmd_input_chunk * chunk);
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MTMD_API bool mtmd_decode_use_non_causal(const mtmd_context * ctx, const mtmd_input_chunk * chunk);
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|
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// whether the current model use M-RoPE for llama_decode
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MTMD_API bool mtmd_decode_use_mrope(mtmd_context * ctx);
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MTMD_API bool mtmd_decode_use_mrope(const mtmd_context * ctx);
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// whether the current model supports vision input
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MTMD_API bool mtmd_support_vision(mtmd_context * ctx);
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MTMD_API bool mtmd_support_vision(const mtmd_context * ctx);
|
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|
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// whether the current model supports audio input
|
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MTMD_API bool mtmd_support_audio(mtmd_context * ctx);
|
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MTMD_API bool mtmd_support_audio(const mtmd_context * ctx);
|
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|
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// get audio sample rate in Hz, for example 16000 for Whisper
|
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// return -1 if audio is not supported
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MTMD_API int mtmd_get_audio_sample_rate(mtmd_context * ctx);
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MTMD_API int mtmd_get_audio_sample_rate(const mtmd_context * ctx);
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|
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// mtmd_bitmap
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//
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@@ -3653,34 +3653,6 @@ void server_routes::init_routes() {
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return res;
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};
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this->get_api_show = [this](const server_http_req &) {
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auto res = create_response();
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std::string tmpl_default = common_chat_templates_source(meta->chat_params.tmpls.get(), "");
|
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json data = {
|
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{
|
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"model_info", {
|
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{ "llama.context_length", meta->slot_n_ctx },
|
||||
}
|
||||
},
|
||||
{"modelfile", ""},
|
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{"parameters", ""},
|
||||
{"template", tmpl_default},
|
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{"details", {
|
||||
{"parent_model", ""},
|
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{"format", "gguf"},
|
||||
{"family", ""},
|
||||
{"families", {""}},
|
||||
{"parameter_size", ""},
|
||||
{"quantization_level", ""}
|
||||
}},
|
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{"model_info", ""},
|
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{"capabilities", meta->has_mtmd ? json({"completion","multimodal"}) : json({"completion"})}
|
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};
|
||||
|
||||
res->ok(data);
|
||||
return res;
|
||||
};
|
||||
|
||||
this->post_infill = [this](const server_http_req & req) {
|
||||
auto res = create_response();
|
||||
// check model compatibility
|
||||
|
||||
@@ -105,7 +105,6 @@ struct server_routes {
|
||||
server_http_context::handler_t post_slots;
|
||||
server_http_context::handler_t get_props;
|
||||
server_http_context::handler_t post_props;
|
||||
server_http_context::handler_t get_api_show;
|
||||
server_http_context::handler_t post_infill;
|
||||
server_http_context::handler_t post_completions;
|
||||
server_http_context::handler_t post_completions_oai;
|
||||
|
||||
@@ -143,7 +143,6 @@ bool server_http_context::init(const common_params & params) {
|
||||
"/v1/health",
|
||||
"/models",
|
||||
"/v1/models",
|
||||
"/api/tags",
|
||||
"/",
|
||||
"/index.html",
|
||||
"/bundle.js",
|
||||
|
||||
@@ -1147,7 +1147,7 @@ server_http_proxy::server_http_proxy(
|
||||
|
||||
// setup Client
|
||||
cli->set_follow_location(true);
|
||||
cli->set_connection_timeout(5, 0); // 5 seconds
|
||||
cli->set_connection_timeout(timeout_read, 0); // use --timeout value instead of hardcoded 5 s
|
||||
cli->set_write_timeout(timeout_read, 0); // reversed for cli (client) vs srv (server)
|
||||
cli->set_read_timeout(timeout_write, 0);
|
||||
this->status = 500; // to be overwritten upon response
|
||||
|
||||
@@ -7,6 +7,7 @@
|
||||
#include "arg.h"
|
||||
#include "build-info.h"
|
||||
#include "common.h"
|
||||
#include "fit.h"
|
||||
#include "llama.h"
|
||||
#include "log.h"
|
||||
|
||||
@@ -141,7 +142,6 @@ int main(int argc, char ** argv) {
|
||||
// note: routes.get_health stays the same
|
||||
routes.get_metrics = models_routes->proxy_get;
|
||||
routes.post_props = models_routes->proxy_post;
|
||||
routes.get_api_show = models_routes->proxy_get;
|
||||
routes.post_completions = models_routes->proxy_post;
|
||||
routes.post_completions_oai = models_routes->proxy_post;
|
||||
routes.post_chat_completions = models_routes->proxy_post;
|
||||
@@ -174,16 +174,13 @@ int main(int argc, char ** argv) {
|
||||
ctx_http.get ("/metrics", ex_wrapper(routes.get_metrics));
|
||||
ctx_http.get ("/props", ex_wrapper(routes.get_props));
|
||||
ctx_http.post("/props", ex_wrapper(routes.post_props));
|
||||
ctx_http.post("/api/show", ex_wrapper(routes.get_api_show));
|
||||
ctx_http.get ("/models", ex_wrapper(routes.get_models)); // public endpoint (no API key check)
|
||||
ctx_http.get ("/v1/models", ex_wrapper(routes.get_models)); // public endpoint (no API key check)
|
||||
ctx_http.get ("/api/tags", ex_wrapper(routes.get_models)); // ollama specific endpoint. public endpoint (no API key check)
|
||||
ctx_http.post("/completion", ex_wrapper(routes.post_completions)); // legacy
|
||||
ctx_http.post("/completions", ex_wrapper(routes.post_completions));
|
||||
ctx_http.post("/v1/completions", ex_wrapper(routes.post_completions_oai));
|
||||
ctx_http.post("/chat/completions", ex_wrapper(routes.post_chat_completions));
|
||||
ctx_http.post("/v1/chat/completions", ex_wrapper(routes.post_chat_completions));
|
||||
ctx_http.post("/api/chat", ex_wrapper(routes.post_chat_completions)); // ollama specific endpoint
|
||||
ctx_http.post("/v1/responses", ex_wrapper(routes.post_responses_oai));
|
||||
ctx_http.post("/responses", ex_wrapper(routes.post_responses_oai));
|
||||
ctx_http.post("/v1/audio/transcriptions", ex_wrapper(routes.post_transcriptions_oai));
|
||||
@@ -348,7 +345,7 @@ int main(int argc, char ** argv) {
|
||||
|
||||
auto * ll_ctx = ctx_server.get_llama_context();
|
||||
if (ll_ctx != nullptr) {
|
||||
llama_memory_breakdown_print(ll_ctx);
|
||||
common_memory_breakdown_print(ll_ctx);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
Reference in New Issue
Block a user