llama : minor style

Author: ggerganov

src/llama.cpp

@@ -8715,8 +8715,7 @@ static void llm_build_kv_store(
 
     GGML_ASSERT(kv.size == n_ctx);
 
-    struct ggml_tensor * k_cache_view = ggml_view_1d(ctx, kv.k_l[il], n_tokens*n_embd_k_gqa,
-            (ggml_row_size(kv.k_l[il]->type, n_embd_k_gqa))*kv_head);
+    struct ggml_tensor * k_cache_view = ggml_view_1d(ctx, kv.k_l[il], n_tokens*n_embd_k_gqa, ggml_row_size(kv.k_l[il]->type, n_embd_k_gqa)*kv_head);
     cb(k_cache_view, "k_cache_view", il);
 
     // note: storing RoPE-ed version of K in the KV cache
@@ -8727,8 +8726,7 @@ static void llm_build_kv_store(
     struct ggml_tensor * v_cache_view = nullptr;
 
     if (cparams.flash_attn) {
-        v_cache_view = ggml_view_1d(ctx, kv.v_l[il], n_tokens*n_embd_v_gqa,
-                (kv_head)*ggml_row_size(kv.v_l[il]->type, n_embd_v_gqa));
+        v_cache_view = ggml_view_1d(ctx, kv.v_l[il], n_tokens*n_embd_v_gqa, ggml_row_size(kv.v_l[il]->type, n_embd_v_gqa)*kv_head);
     } else {
         // note: the V cache is transposed when not using flash attention
         v_cache_view = ggml_view_2d(ctx, kv.v_l[il], n_tokens, n_embd_v_gqa,
@@ -9215,8 +9213,7 @@ static struct ggml_tensor * llm_build_kv(
 
     struct ggml_tensor * cur;
 
-    cur  = llm_build_kqv(ctx, lctx, kv, graph, wo, wo_b,
-            q_cur, kq_mask, n_tokens, n_kv, kq_scale, cb, il);
+    cur  = llm_build_kqv(ctx, lctx, kv, graph, wo, wo_b, q_cur, kq_mask, n_tokens, n_kv, kq_scale, cb, il);
     cb(cur, "kqv_out", il);
 
     return cur;