chore: import upstream snapshot with attribution

paddle/phi/kernels/impl/renorm_kernel_impl.h

@@ -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.
+#pragma once
+
+#include "paddle/phi/core/dense_tensor.h"
+#include "paddle/phi/kernels/funcs/eigen/common.h"
+#include "paddle/phi/kernels/impl/renorm_impl.h"
+#include "paddle/phi/kernels/renorm_kernel.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void RenormKernel(const Context& dev_ctx,
+                  const DenseTensor& x,
+                  float p,
+                  int axis,
+                  float max_norm,
+                  DenseTensor* out) {
+  out->Resize(x.dims());
+  dev_ctx.template Alloc<T>(out);
+  if (out && out->numel() == 0) {
+    return;
+  }
+  auto x_ptr = x.template data<T>();
+  auto numel = x.numel();
+  int dim = axis;
+  auto input_dims = x.dims();
+  auto dimension_each = input_dims[dim];
+
+  funcs::RenormFunc(dev_ctx,
+                    x_ptr,
+                    out->data<T>(),
+                    p,
+                    axis,
+                    max_norm,
+                    dimension_each,
+                    input_dims,
+                    numel);
+}
+}  // namespace phi