parent
40dffce685
commit
86ad770f2a
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@ -651,7 +651,7 @@ struct llama_context {
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int32_t mtp_n_heads = 0;
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void reset_scheduler();
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bool can_reuse_graph(const llama_batch & u_batch, uint64_t seq_fingerprint);
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bool can_reuse_graph(const llama_batch & u_batch, uint64_t seq_fingerprint, uint64_t model_state_hash);
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struct CacheCopy {
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ggml_tensor * cpy = nullptr;
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@ -565,6 +565,7 @@ struct llama_context::Prev {
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int64_t swa_w_view;
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int64_t swa_win_off;
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uint64_t seq_fingerprint;
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uint64_t model_state_hash;
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ggml_cgraph * graph;
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};
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@ -593,20 +594,60 @@ static uint64_t llama_ubatch_seq_fingerprint(const llama_batch & b, const llm_ar
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return h;
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}
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static inline uint64_t model_state_hash(const llama_context & lctx) {
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if (lctx.model.arch != LLM_ARCH_DEEPSEEK4) {
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return 0ull;
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}
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uint64_t h = 1469598103934665603ull;
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auto mix = [&h](uint64_t v) { h ^= v; h *= 1099511628211ull; };
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auto mix_plan = [&mix] (const llama_context::dsv4_runtime::comp_plan & plan) {
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mix(plan.state_pos.size());
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mix(plan.state_persist_src_idxs.size());
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mix(plan.state_persist_dst_idxs.size());
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mix(plan.state_read_idxs.size());
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mix(plan.state_write_idxs.size());
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mix(plan.state_write_pos.size());
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mix(plan.n_kv);
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};
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mix_plan(lctx.dsv4.csa_plan);
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mix_plan(lctx.dsv4.hca_plan);
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mix_plan(lctx.dsv4.lid_plan);
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mix(lctx.dsv4.raw.write_src_idxs.size());
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mix(lctx.dsv4.raw.write_dst_idxs.size());
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mix(lctx.dsv4.raw.read_dst_idxs.size());
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//mix(lctx.dsv4.lid_plan.n_kv > lctx.model.hparams.indexer_top_k);
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//for (auto n_vis : lctx.dsv4.hca_plan.n_visible) mix(n_vis > 0);
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return h;
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}
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void llama_context::reset_scheduler() {
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ggml_backend_sched_reset(sched);
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prev.reset();
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prev_mtp.reset();
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}
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static void why_not_reuse_previous(const llama_batch & u_batch, const llama_context & ctx, const llama_context::Prev * the_prev) {
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static void why_not_reuse_previous(const llama_batch & u_batch, const llama_context & ctx, const llama_context::Prev * the_prev,
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uint64_t seq_fingerprint, uint64_t model_state_hash) {
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if (!ctx.cparams.graph_reuse) { printf(" graph_reuse is false\n"); return; }
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if (!the_prev) { printf(" previous is null\n"); return; }
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if (!the_prev->graph) { printf(" previous graph is null\n"); return; }
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if (!ctx.cparams.graph_reuse) { printf(" graph_reuse is false\n"); return; }
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if (u_batch.embd) { printf(" ubatch.embd is not null\n"); return; }
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if (seq_fingerprint != the_prev->seq_fingerprint) { printf(" fingerprint is not the same\n"); return; }
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if (model_state_hash != the_prev->model_state_hash) { printf(" model state hash is not the same\n"); return; }
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if (u_batch.all_seq_id != the_prev->all_seq_id) { printf(" all_seq_id is not the same\n"); return; }
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auto & kv_self_used = (ctx.model.arch == LLM_ARCH_GEMMA4_MTP || ctx.model.arch == LLM_ARCH_GEMMA4_ASSISTANT) &&
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ctx.mtp_target_ctx != nullptr ? ctx.mtp_target_ctx->kv_self : ctx.kv_self;
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if (the_prev->save_per_step_ssm != kv_self_used.save_per_step_ssm ||
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the_prev->per_step_max_allocated != kv_self_used.ckpt.per_step_max_allocated) { printf(" ssm not the same\n"); return; }
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if (kv_self_used.any_compacted()) {
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const auto view = llama_swa_calc_window_view_compact(
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(int64_t) kv_self_used.live_swa() + u_batch.n_tokens, kv_self_used.sink_rows,
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u_batch.n_tokens, kv_self_used.window_swa,
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llama_kv_cache::get_padding(ctx.cparams.flash_attn));
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if (view.w_view != the_prev->swa_w_view || view.win_off != the_prev->swa_win_off) {
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printf(" SWA view is not the same\n"); return;
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}
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}
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if (kv_self_used.head == 0) { printf(" kv_self.head = 0\n"); return; }
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if (kv_self_used.n != the_prev->n_kv) { printf(" kv_self.n is not the same\n"); return; }
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if (ctx.n_outputs != the_prev->n_outputs) { printf(" n_outputs is not the same\n"); return; }
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@ -617,15 +658,13 @@ static void why_not_reuse_previous(const llama_batch & u_batch, const llama_cont
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printf(" update_cache_copies() must have failed\n");
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}
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bool llama_context::can_reuse_graph(const llama_batch & u_batch, uint64_t seq_fingerprint) {
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bool llama_context::can_reuse_graph(const llama_batch & u_batch, uint64_t seq_fingerprint, uint64_t model_state_hash) {
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if (!cparams.graph_reuse) return false;
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if (model.arch == LLM_ARCH_DEEPSEEK4) return false;
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auto the_prev = cparams.mtp_op_type == MTP_OP_NONE ? prev.get() : prev_mtp.get();
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if (!the_prev || !the_prev->graph) return false;
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if (u_batch.embd) return false;
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if (seq_fingerprint != the_prev->seq_fingerprint) {
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return false;
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}
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if (seq_fingerprint != the_prev->seq_fingerprint) return false;
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if (model_state_hash != the_prev->model_state_hash) return false;
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auto & kv_self_used = (model.arch == LLM_ARCH_GEMMA4_MTP || model.arch == LLM_ARCH_GEMMA4_ASSISTANT) &&
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mtp_target_ctx != nullptr ? mtp_target_ctx->kv_self : kv_self;
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if (the_prev->save_per_step_ssm != kv_self_used.save_per_step_ssm ||
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@ -650,13 +689,14 @@ bool llama_context::can_reuse_graph(const llama_batch & u_batch, uint64_t seq_fi
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update_cache_copies();
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if (false && !result) {
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printf("%s(%d):", __func__, cparams.mtp_op_type);
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why_not_reuse_previous(u_batch, *this, the_prev);
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why_not_reuse_previous(u_batch, *this, the_prev, seq_fingerprint, model_state_hash);
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}
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return result;
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}
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bool llama_context::update_cache_copies() {
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if (model.arch == LLM_ARCH_GEMMA4_MTP || model.arch == LLM_ARCH_GEMMA4_ASSISTANT) return true;
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if (model.arch == LLM_ARCH_DEEPSEEK4) return true;
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auto patch_dsa_cache_copies = [&]() -> bool {
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// DSA indexer-key cache: patch the kr_l write offset for reused graphs. Each
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// registered cpy writes this ubatch's index keys into kr_l at the kv_head slot;
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@ -709,9 +749,11 @@ bool llama_context::update_cache_copies() {
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};
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if ((int)kv_self.k_l.size() < n_layer) {
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printf("%s: kv_self.k_l.size() < n_layer\n", __func__);
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return false;
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}
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if (!kv_self.v_l.empty() && (int)kv_self.v_l.size() < n_layer) {
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printf("%s: !kv_self.v_l.empty() && (int)kv_self.v_l.size() < n_layer\n", __func__);
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return false;
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}
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for (int il = 0; il < n_layer; ++il) {
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@ -752,6 +794,7 @@ bool llama_context::update_cache_copies() {
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} else {
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auto& c = cache_copies[2*il+0];
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if (!c.cpy || c.cpy->op != GGML_OP_CPY || c.cpy->view_src != kv_self.k_l[il]) {
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printf("%s: K has no copy or is not a copy in layer %d\n", __func__, il);
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return false;
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}
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c.cpy->view_offs = kv_self.head*c.step;
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@ -760,6 +803,7 @@ bool llama_context::update_cache_copies() {
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if (!kv_self.v_l.empty() && kv_self.v_l[il]) {
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auto& c = cache_copies[2*il+1];
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if (!c.cpy || c.cpy->op != GGML_OP_CPY || c.cpy->view_src != kv_self.v_l[il]) {
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printf("%s: V has no copy or is not a copy in layer %d\n", __func__, il);
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return false;
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}
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c.cpy->view_offs = kv_self.head*c.step;
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@ -6323,6 +6367,9 @@ static int llama_decode_internal(
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// must run before can_reuse_graph()
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llama_kv_cache_compact_swa(lctx, u_batch.n_tokens);
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if (lctx.model.arch == LLM_ARCH_DEEPSEEK4 && !llama_prepare_dsv4_graph_inputs(lctx, u_batch, false, false)) {
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return GGML_STATUS_FAILED;
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}
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}
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#if IK_PRINT_TIMING
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@ -6335,7 +6382,8 @@ static int llama_decode_internal(
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auto & prev = cparams.mtp_op_type == MTP_OP_NONE ? lctx.prev : lctx.prev_mtp;
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ggml_cgraph * gf = nullptr;
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const uint64_t seq_fingerprint = llama_ubatch_seq_fingerprint(u_batch, lctx.model.arch);
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if (!lctx.can_reuse_graph(u_batch, seq_fingerprint)) {
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const uint64_t state_hash = model_state_hash(lctx);
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if (!lctx.can_reuse_graph(u_batch, seq_fingerprint, state_hash)) {
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lctx.reset_scheduler();
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ggml_backend_sched_set_eval_callback(lctx.sched, lctx.cparams.cb_eval, lctx.cparams.cb_eval_user_data);
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#if IK_PRINT_TIMING
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@ -6346,9 +6394,6 @@ static int llama_decode_internal(
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#if IK_PRINT_TIMING
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tim1 = ggml_time_us();
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#endif
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if (lctx.model.arch == LLM_ARCH_DEEPSEEK4 && !llama_prepare_dsv4_graph_inputs(lctx, u_batch, false, false)) {
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return GGML_STATUS_FAILED;
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}
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gf = llm_build_context::llama_build_graph(lctx, u_batch, false);
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#if IK_PRINT_TIMING
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@ -6374,7 +6419,7 @@ static int llama_decode_internal(
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cparams.mtp_op_type, lctx.mtp_step_idx, lctx.mtp_n_heads,
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lctx.swa_window_view.w_view,
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lctx.swa_window_view.win_off,
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seq_fingerprint, gf});
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seq_fingerprint, state_hash, gf});
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}
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} else {
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//printf("Reusing graph with type = %d, n_kv = %d, n_tokens = %d\n", cparams.mtp_op_type, (int)prev->n_kv, (int)prev->n_tokens);
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