ikawrakow/ik_llama.cpp
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qwen3next: keep recurrent state in 4d layout through delta path

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yurko
2026-02-07 14:00:09 -08:00
parent de5bf44e8c
commit 5a6c4e8da5
1 changed files with 3 additions and 7 deletions
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10
src/llama-build-context.cpp
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@@ -4199,7 +4199,7 @@ ggml_cgraph * llm_build_context::build_qwen3next() {
GGML_ASSERT(k->ne[2] == n_tokens);
GGML_ASSERT(g->ne[0] == H_v && g->ne[1] == n_tokens && g->ne[2] == n_seqs);
GGML_ASSERT(beta->ne[0] == H_v && beta->ne[2] == n_tokens && beta->ne[3] == n_seqs);
GGML_ASSERT(state->ne[0] == S_v && state->ne[1] == S_v * H_v && state->ne[2] == 1 && state->ne[3] == n_seqs);
GGML_ASSERT(state->ne[0] == S_v && state->ne[1] == S_v && state->ne[2] == H_v && state->ne[3] == n_seqs);
GGML_ASSERT(H_k == H_v);
const float eps_norm = hparams.f_norm_rms_eps;
@@ -4223,8 +4223,6 @@ ggml_cgraph * llm_build_context::build_qwen3next() {
g = ggml_cont_4d(ctx0, ggml_permute(ctx0, g, 2, 0, 3, 1), n_tokens, 1, H_k, n_seqs);
beta = ggml_cont(ctx0, ggml_permute(ctx0, beta, 2, 0, 1, 3));
state = ggml_reshape_4d(ctx0, state, S_v, S_v, H_v, n_seqs);
cb(q, "q_perm", il);
cb(k, "k_perm", il);
cb(v, "v_perm", il);
@@ -4400,7 +4398,7 @@ ggml_cgraph * llm_build_context::build_qwen3next() {
GGML_ASSERT(n_tokens == 1);
GGML_ASSERT(n_seqs == 1);
GGML_ASSERT(H_k == H_v);
GGML_ASSERT(state->ne[0] == S_v && state->ne[1] == S_v * H_v && state->ne[2] == 1 && state->ne[3] == n_seqs);
GGML_ASSERT(state->ne[0] == S_v && state->ne[1] == S_v && state->ne[2] == H_v && state->ne[3] == n_seqs);
const float eps_norm = hparams.f_norm_rms_eps;
q = ggml_l2_norm(ctx0, q, eps_norm);
@@ -4417,8 +4415,6 @@ ggml_cgraph * llm_build_context::build_qwen3next() {
cb(beta, "beta_in", il);
cb(g, "g_in", il);
state = ggml_reshape_4d(ctx0, state, S_v, S_v, H_v, n_seqs);
ggml_tensor * g_t = ggml_reshape_4d(ctx0, ggml_transpose(ctx0, g), 1, 1, H_k, n_seqs);
ggml_tensor * beta_t = ggml_reshape_4d(ctx0, ggml_transpose(ctx0, beta), 1, 1, H_k, n_seqs);
@@ -4697,7 +4693,7 @@ ggml_cgraph * llm_build_context::build_qwen3next() {
conv_state_dim * ggml_element_size(state_f32));
ggml_tensor * conv_states = ggml_reshape_3d(ctx0, conv_state_flat, hparams.ssm_d_conv - 1, conv_dim, 1);
ggml_tensor * state = ggml_reshape_4d(ctx0, ssm_state_flat, head_v_dim, head_v_dim * num_v_heads, 1, 1);
ggml_tensor * state = ggml_reshape_4d(ctx0, ssm_state_flat, head_v_dim, head_v_dim, num_v_heads, 1);
cb(conv_states, "conv_states", il);
cb(state, "state_predelta", il);