chore: import upstream snapshot with attribution

paddle/phi/kernels/selected_rows/impl/clip_kernel_impl.h

@@ -0,0 +1,61 @@
+// 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/common/scalar.h"
+#include "paddle/phi/core/dense_tensor.h"
+#include "paddle/phi/core/device_context.h"
+#include "paddle/phi/core/selected_rows.h"
+#include "paddle/phi/kernels/funcs/selected_rows_functor.h"
+#include "paddle/phi/kernels/selected_rows/clip_kernel.h"
+
+namespace phi {
+namespace sr {
+
+template <typename T, typename Context>
+void ClipSparseKernel(const Context& dev_ctx,
+                      const SelectedRows& x,
+                      const Scalar& min,
+                      const Scalar& max,
+                      SelectedRows* out) {
+  auto max_ = max.to<T>();
+  auto min_ = min.to<T>();
+
+  PADDLE_ENFORCE_LE(
+      min_,
+      max_,
+      errors::InvalidArgument("max should be greater than or equal to min. "
+                              "But received min = %f, max = %f",
+                              static_cast<float>(min_),
+                              static_cast<float>(max_)));
+
+  PADDLE_ENFORCE_NE(&x,
+                    out,
+                    errors::InvalidArgument("Inplace clip is not allowed "
+                                            "when x is SelectedRows"));
+  funcs::scatter::MergeAdd<Context, T> merge_func;
+  merge_func(dev_ctx, x, out);
+  auto* out_tensor = out->mutable_value();
+  auto* out_data = out_tensor->data<T>();
+  int64_t numel = out_tensor->numel();
+  phi::Transform<Context> trans;
+  trans(dev_ctx,
+        out_data,
+        out_data + numel,
+        out_data,
+        ClipFunctor<T>(min_, max_));
+}
+}  // namespace sr
+}  // namespace phi