Faster CPU prompt processing for Trellis quants and MoE models (#488)

* Also do the dequantize approach for mul_mat_id

* Also do the dequantize approach for iqk_moe_fused_up_gate

---------

Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>

ggml/src/iqk/iqk_mul_mat.cpp

@@ -322,6 +322,11 @@ struct MulMat {
     }
 };
 
+static std::vector<char> & thread_local_work_buffer() {
+    thread_local std::vector<char> f;
+    return f;
+}
+
 }
 
 extern "C" IQK_API bool iqk_mul_mat(long Nx, long Ny, long ne00,
@@ -349,8 +354,6 @@ extern "C" IQK_API bool iqk_mul_mat(long Nx, long Ny, long ne00,
 
         auto type_size = ggml_type_size(dequant_type);
 
-        thread_local std::vector<char> f;
-
         size_t row_size_qx = ne00*type_size;
         size_t row_size_qy = strideB;
 
@@ -358,6 +361,8 @@ extern "C" IQK_API bool iqk_mul_mat(long Nx, long Ny, long ne00,
 
         DataInfo info{C + first_x, (const char *)B, (size_t)stride_C, row_size_qy, 0, 1, nullptr, 0};
 
+        auto& f = thread_local_work_buffer();
+
         for (int ix = 0; ix < nrc_x; ix += k_x_step) {
             auto this_info = info;
             this_info.s += ix;
@@ -501,6 +506,47 @@ extern "C" IQK_API bool iqk_mul_mat_moe(long Nx, long Ny, long ne00, int ne11,
     assert(row_mapping != nullptr);
 
     MulMat mm;
+
+    auto etypeA = ggml_type(typeA);
+    if (auto dequant_type = MulMat::is_dequant_better(etypeA, Ny); dequant_type != etypeA) {
+        if (!MulMat::prepare(dequant_type, typeB, ne00, mm, Ny)) {
+            return false;
+        }
+
+        constexpr int k_x_step = 32;
+
+        auto num_rows = MulMat::num_rows(ggml_type(dequant_type));
+        GGML_ASSERT(Nx%num_rows == 0);
+        auto nrc_x = (Nx/num_rows + nth - 1)/nth;
+        auto first_x = ith*nrc_x;
+        if (first_x + nrc_x > Nx/num_rows) nrc_x = Nx/num_rows - first_x;
+        first_x *= num_rows;
+        nrc_x   *= num_rows;
+
+        auto type_size = ggml_type_size(dequant_type);
+
+        size_t row_size_qx = ne00*type_size;
+        size_t row_size_qy = strideB;
+
+        DataInfo info{C + first_x, (const char *)B, nb1/sizeof(float), row_size_qy, 0, ne11, row_mapping, nb2/sizeof(float)};
+
+        auto& f = thread_local_work_buffer();
+
+        for (int ix = 0; ix < nrc_x; ix += k_x_step) {
+            auto this_info = info;
+            this_info.s += ix;
+            int this_nrc_x = ix + k_x_step <= nrc_x ? k_x_step : nrc_x - ix;
+            if (f.size() < row_size_qx*this_nrc_x) f.resize(row_size_qx*this_nrc_x);
+            if (!iqk_dequantize_ktquants(typeA, ne00, (const char *)A + (first_x + ix)*strideA, strideA, f.data(), ne00, this_nrc_x)) {
+                GGML_ABORT("Fatal error");
+            }
+            mm.mul_mat_NxM(ne00, f.data(), row_size_qx, this_info, this_nrc_x, Ny);
+        }
+
+        return true;
+
+    }
+
     if (!MulMat::prepare(typeA, typeB, ne00, mm, Ny)) {
         return false;
     }
@@ -528,6 +574,52 @@ extern "C" IQK_API bool iqk_moe_fused_up_gate(long Nx, long Ny, long ne00, int n
     assert(row_mapping != nullptr);
 
     MulMat mm;
+
+    auto etypeA = ggml_type(typeA);
+    if (auto dequant_type = MulMat::is_dequant_better(etypeA, Ny); dequant_type != etypeA) {
+        if (!MulMat::prepare(dequant_type, typeB, ne00, mm, Ny)) {
+            return false;
+        }
+
+        constexpr int k_x_step = 64;
+
+        auto num_rows = MulMat::num_rows(ggml_type(dequant_type));
+        GGML_ASSERT(Nx%num_rows == 0);
+        auto nrc_x = (Nx/num_rows + nth - 1)/nth;
+        auto first_x = ith*nrc_x;
+        if (first_x + nrc_x > Nx/num_rows) nrc_x = Nx/num_rows - first_x;
+        first_x *= num_rows;
+        nrc_x   *= num_rows;
+
+        auto type_size = ggml_type_size(dequant_type);
+
+        size_t row_size_qx = ne00*type_size;
+        size_t row_size_qy = strideB;
+
+        DataInfo info{C + first_x, (const char *)B, nb1/sizeof(float), row_size_qy, 0, ne11, row_mapping, nb2/sizeof(float)};
+
+        auto& f = thread_local_work_buffer();
+
+        for (int ix = 0; ix < nrc_x; ix += k_x_step) {
+            auto this_info = info;
+            this_info.s += ix;
+            int this_nrc_x = ix + k_x_step <= nrc_x ? k_x_step : nrc_x - ix;
+            if (f.size() < 2*row_size_qx*this_nrc_x) f.resize(2*row_size_qx*this_nrc_x);
+            auto Xu = f.data();
+            auto Xg = f.data() + row_size_qx*this_nrc_x;
+            if (!iqk_dequantize_ktquants(typeA, ne00, (const char *)Aup   + (first_x + ix)*strideA, strideA, Xu, ne00, this_nrc_x)) {
+                GGML_ABORT("Fatal error");
+            }
+            if (!iqk_dequantize_ktquants(typeA, ne00, (const char *)Agate + (first_x + ix)*strideA, strideA, Xg, ne00, this_nrc_x)) {
+                GGML_ABORT("Fatal error");
+            }
+            mm.mul_mat_up_gate_NxM(ne00, Xu, Xg, row_size_qx, this_info, this_nrc_x, Ny, unary_op);
+        }
+
+        return true;
+
+    }
+
     if (!MulMat::prepare(typeA, typeB, ne00, mm, Ny)) {
         return false;
     }