chore: import upstream snapshot with attribution

paddle/phi/kernels/share_buffer_kernel.cc

@@ -0,0 +1,51 @@
+// Copyright (c) 2022 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/share_buffer_kernel.h"
+
+#include "glog/logging.h"
+
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/core/visit_type.h"
+
+namespace phi {
+
+template <typename Context>
+void ShareBufferKernel(const Context &dev_ctx UNUSED,
+                       const std::vector<const DenseTensor *> &x,
+                       const std::vector<bool> &share_dims_and_dtype UNUSED,
+                       std::vector<DenseTensor *> out,
+                       std::vector<DenseTensor *> xout UNUSED) {
+  PADDLE_ENFORCE_EQ(
+      x.size(),
+      out.size(),
+      common::errors::PermissionDenied(
+          "The input(X) and Output(out) should have the same size, but got "
+          "size of Input(X) is %d and size of Output(out) is %d.",
+          x.size(),
+          out.size()));
+  for (size_t i = 0; i < x.size(); ++i) {
+    if (x[i] == nullptr || out[i] == nullptr) {
+      continue;
+    }
+    out[i]->ShareBufferWith(*x[i]);
+    VLOG(10) << "Share tensor buffer ";
+  }
+}
+
+}  // namespace phi
+
+PD_REGISTER_KERNEL_FOR_ALL_BACKEND_DTYPE(share_buffer,
+                                         ALL_LAYOUT,
+                                         phi::ShareBufferKernel) {}