fix: use ggml_nn_attention in vae

leejet · leejet · commit 4570715727f3 · 2024-11-24T18:21:31.000+08:00
diff --git a/ggml_extend.hpp b/ggml_extend.hpp
@@ -661,6 +661,30 @@ __STATIC_INLINE__ std::vector<struct ggml_tensor*> split_qkv(struct ggml_context
     return {q, k, v};
 }
 
+// q: [N * n_head, n_token, d_head]
+// k: [N * n_head, n_k, d_head]
+// v: [N * n_head, d_head, n_k]
+// return: [N * n_head, n_token, d_head]
+__STATIC_INLINE__ struct ggml_tensor* ggml_nn_attention(struct ggml_context* ctx,
+                                                        struct ggml_tensor* q,
+                                                        struct ggml_tensor* k,
+                                                        struct ggml_tensor* v,
+                                                        bool mask = false) {
+#if defined(SD_USE_FLASH_ATTENTION) && !defined(SD_USE_CUBLAS) && !defined(SD_USE_METAL) && !defined(SD_USE_VULKAN) && !defined(SD_USE_SYCL)
+    struct ggml_tensor* kqv = ggml_flash_attn(ctx, q, k, v, false);  // [N * n_head, n_token, d_head]
+#else
+    float d_head = (float)q->ne[0];
+    struct ggml_tensor* kq = ggml_mul_mat(ctx, k, q);  // [N * n_head, n_token, n_k]
+    kq                     = ggml_scale_inplace(ctx, kq, 1.0f / sqrt(d_head));
+    if (mask) {
+        kq = ggml_diag_mask_inf_inplace(ctx, kq, 0);
+    }
+    kq = ggml_soft_max_inplace(ctx, kq);
+    struct ggml_tensor* kqv = ggml_mul_mat(ctx, v, kq);  // [N * n_head, n_token, d_head]
+#endif
+    return kqv;
+}
+
 // q: [N, L_q, C] or [N*n_head, L_q, d_head]
 // k: [N, L_k, C] or [N*n_head, L_k, d_head]
 // v: [N, L_k, C] or [N, L_k, n_head, d_head]
diff --git a/vae.hpp b/vae.hpp
@@ -99,12 +99,10 @@ class AttnBlock : public UnaryBlock {
         k      = ggml_cont(ctx, ggml_permute(ctx, k, 1, 2, 0, 3));  // [N, h, w, in_channels]
         k      = ggml_reshape_3d(ctx, k, c, h * w, n);              // [N, h * w, in_channels]
 
-        auto v = v_proj->forward(ctx, h_);                          // [N, in_channels, h, w]
-        v      = ggml_cont(ctx, ggml_permute(ctx, v, 1, 2, 0, 3));  // [N, h, w, in_channels]
-        v      = ggml_reshape_3d(ctx, v, c, h * w, n);              // [N, h * w, in_channels]
+        auto v = v_proj->forward(ctx, h_);              // [N, in_channels, h, w]
+        v      = ggml_reshape_3d(ctx, v, h * w, c, n);  // [N, in_channels, h * w]
 
-        // h_ = ggml_nn_attention(ctx, q, k, v, false);  // [N, h * w, in_channels]
-        h_ = ggml_nn_attention_ext(ctx, q, k, v, 1, nullptr, false, true, false);
+        h_ = ggml_nn_attention(ctx, q, k, v, false);  // [N, h * w, in_channels]
 
         h_ = ggml_cont(ctx, ggml_permute(ctx, h_, 1, 0, 2, 3));  // [N, in_channels, h * w]
         h_ = ggml_reshape_4d(ctx, h_, w, h, c, n);               // [N, in_channels, h, w]
