repeat_interleave

src/models/llm_build_qwen3next.cpp

@@ -704,8 +704,17 @@ ggml_tensor * llm_build_qwen3next::build_qwen3next_linear_attn_layer(llm_graph_i
         GGML_ASSERT(num_v_heads % num_k_heads == 0);
         int64_t repeat_factor = num_v_heads / num_k_heads;
 
-        q_conv = ggml_repeat_4d(ctx0, q_conv, head_k_dim, num_k_heads * repeat_factor, n_seq_tokens, n_seqs);
-        k_conv = ggml_repeat_4d(ctx0, k_conv, head_k_dim, num_k_heads * repeat_factor, n_seq_tokens, n_seqs);
+        // Step 1: Reshape to add a new dimension for the repeats
+        ggml_tensor * q_reshaped = ggml_reshape_4d(ctx0, q_conv, head_k_dim, num_k_heads, 1, n_seq_tokens * n_seqs);
+        ggml_tensor * k_reshaped = ggml_reshape_4d(ctx0, k_conv, head_k_dim, num_k_heads, 1, n_seq_tokens * n_seqs);
+        
+        // Step 2: Expand along the new dimension
+        ggml_tensor * q_expanded = ggml_repeat_4d(ctx0, q_reshaped, head_k_dim, num_k_heads, repeat_factor, n_seq_tokens * n_seqs);
+        ggml_tensor * k_expanded = ggml_repeat_4d(ctx0, k_reshaped, head_k_dim, num_k_heads, repeat_factor, n_seq_tokens * n_seqs);
+        
+        // Step 3: Reshape back to merge the repeated dimensions
+        q_conv = ggml_reshape_4d(ctx0, q_expanded, head_k_dim, num_k_heads * repeat_factor, n_seq_tokens, n_seqs);
+        k_conv = ggml_reshape_4d(ctx0, k_expanded, head_k_dim, num_k_heads * repeat_factor, n_seq_tokens, n_seqs);
     }
 
     cb(q_conv, "q_conv_predelta", il);