mirror of
https://github.com/ggml-org/llama.cpp.git
synced 2026-09-10 23:09:17 +02:00
cont : init child samplers + modify child logic
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@@ -201,6 +201,26 @@ struct server_slot {
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alora_invocation_start = -1;
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}
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void init_sampler() const {
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const int64_t t_start = ggml_time_us();
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common_sampler_reset(smpl.get());
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int n_text = 0;
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for (int i = 0; i < (int) prompt.tokens.size(); i++) {
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const llama_token id = prompt.tokens[i];
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if (id != LLAMA_TOKEN_NULL) {
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common_sampler_accept(smpl.get(), id, false);
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n_text++;
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}
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}
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SLT_INF(*this, "init sampler, took %0.2f ms, tokens: text = %d, total = %d\n",
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(ggml_time_us() - t_start) / 1000.0, n_text, (int) prompt.tokens.size());
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}
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bool need_embd() const {
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GGML_ASSERT(task);
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@@ -425,14 +445,21 @@ struct server_slot {
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}
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void copy_state_to(server_slot & other) const {
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llama_memory_seq_rm(llama_get_memory(ctx), other.id, 0, -1);
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GGML_ASSERT(state == SLOT_STATE_DONE_PROMPT);
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llama_memory_seq_rm(llama_get_memory(ctx), other.id, 0, -1);
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llama_memory_seq_cp(llama_get_memory(ctx), id, other.id, 0, -1);
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other.n_decoded = n_decoded;
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other.n_remaining = n_remaining;
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other.i_batch = i_batch;
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other.t_prompt_processing = t_prompt_processing;
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other.n_prompt_tokens_cache = n_prompt_tokens_cache;
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other.n_prompt_tokens_processed = n_prompt_tokens_processed;
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other.prompt = prompt.clone();
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other.init_sampler();
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}
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};
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@@ -1182,7 +1209,7 @@ private:
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? SLOT_STATE_WAIT_OTHER // wait for the parent to process prompt
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: SLOT_STATE_STARTED;
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SLT_INF(slot, "%s", "processing task\n");
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SLT_INF(slot, "processing task, is_child = %d\n", slot.is_child());
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return true;
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}
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@@ -2461,16 +2488,6 @@ private:
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GGML_ASSERT(batch.n_tokens > 0);
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common_sampler_reset(slot.smpl.get());
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// Process all prompt tokens through sampler system
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for (int i = 0; i < slot.task->n_tokens(); ++i) {
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llama_token id = input_tokens[i];
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if (id != LLAMA_TOKEN_NULL) {
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common_sampler_accept(slot.smpl.get(), id, false);
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}
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}
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// extract the logits only for the last token
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batch.logits[batch.n_tokens - 1] = true;
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@@ -2479,6 +2496,8 @@ private:
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SLT_INF(slot, "prompt done, n_tokens = %d, batch.n_tokens = %d\n", slot.prompt.n_tokens(), batch.n_tokens);
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slot.init_sampler();
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const auto pos_min = llama_memory_seq_pos_min(llama_get_memory(ctx), slot.id);
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const auto pos_max = llama_memory_seq_pos_max(llama_get_memory(ctx), slot.id);
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@@ -2525,42 +2544,6 @@ private:
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}
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}
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// to be called after decoding (or skipped decoding) a batch
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auto update_child_slots = [&]() {
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for (auto & slot : slots) {
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// may need to copy state to other slots
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if (slot.state == SLOT_STATE_DONE_PROMPT && slot.is_parent()) {
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std::vector<server_slot *> child_slots;
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for (auto & other : slots) {
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if (other.state == SLOT_STATE_WAIT_OTHER && slot.task->id == other.task->id_parent) {
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child_slots.push_back(&other);
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}
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}
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// we can only proceed if all child slots are having the correct tasks
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if (child_slots.size() == slot.task->n_children) {
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// copy state to the child slots
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for (auto & child : child_slots) {
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SLT_INF(slot, "copying state to child %d\n", child->id);
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slot.copy_state_to(*child);
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child->state = SLOT_STATE_DONE_PROMPT;
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}
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}
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}
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}
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};
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if (batch.n_tokens == 0) {
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SRV_WRN("%s", "no tokens to decode\n");
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// parent slot may have 0 tokens to process,
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// we need to make sure all child slots are updated before continuing
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SRV_DBG("%s", "input batch is empty, updating child slots\n");
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update_child_slots();
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return;
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}
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SRV_DBG("decoding batch, n_tokens = %d\n", batch.n_tokens);
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if (slot_batched) {
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@@ -2577,6 +2560,10 @@ private:
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llama_set_embeddings(ctx, slot_batched->need_embd());
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}
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if (batch.n_tokens == 0) {
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SRV_WRN("%s", "no tokens to decode\n");
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}
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int32_t i_next = 0;
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// process the created batch of tokens
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@@ -2658,8 +2645,27 @@ private:
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for (auto & slot : slots) {
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// may need to copy state to other slots
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update_child_slots();
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if (slot.state == SLOT_STATE_DONE_PROMPT && slot.is_parent()) {
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std::vector<server_slot *> child_slots;
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for (auto & other : slots) {
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if (other.state == SLOT_STATE_WAIT_OTHER && slot.task->id == other.task->id_parent) {
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child_slots.push_back(&other);
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}
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}
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// we can only proceed if all child slots are having the correct tasks
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if (child_slots.size() == slot.task->n_children) {
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// copy state to the child slots
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for (auto & child : child_slots) {
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SLT_INF(slot, "copying state to child %d\n", child->id);
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slot.copy_state_to(*child);
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child->state = SLOT_STATE_DONE_PROMPT;
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}
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}
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}
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}
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for (auto & slot : slots) {
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// optionally send prompt processing progress
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if (slot.state == SLOT_STATE_PROCESSING_PROMPT || slot.state == SLOT_STATE_DONE_PROMPT) {
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if (slot.task->params.stream && slot.task->params.return_progress) {
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@@ -2741,7 +2747,7 @@ private:
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continue;
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}
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size_t n_draft = slot.drafted.size();
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const size_t n_draft = slot.drafted.size();
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// the accepted tokens from the speculation
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const auto ids = common_sampler_sample_and_accept_n(slot.smpl.get(), ctx, slot.i_batch_dft, slot.drafted);
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