chore: import upstream snapshot with attribution

paddle/phi/kernels/cpu/swiglu_kernel.cc

@@ -0,0 +1,47 @@
+// Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#include "paddle/phi/kernels/swiglu_kernel.h"
+#include "paddle/phi/backends/cpu/cpu_context.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/kernels/funcs/activation_functor.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void SwiGLUKernelImpl(const Context &dev_ctx,
+                      const T *x,
+                      const T *y,
+                      T *z,
+                      int64_t m,
+                      int64_t n) {
+  funcs::SwiGLUFunctor<T> functor;
+  int64_t stride;
+  if (y) {
+    stride = n;
+  } else {
+    stride = 2 * n;
+    y = x + n;
+  }
+
+  for (int64_t i = 0; i < m; ++i) {
+    for (int64_t j = 0; j < n; ++j) {
+      z[i * n + j] = functor(x[i * stride + j], y[i * stride + j]);
+    }
+  }
+}
+
+}  // namespace phi
+
+PD_REGISTER_KERNEL(swiglu, CPU, ALL_LAYOUT, phi::SwiGLUKernel, float, double) {}