chore: import upstream snapshot with attribution

paddle/phi/kernels/sparse/pool_grad_kernel.h

@@ -0,0 +1,49 @@
+/* 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/core/sparse_coo_tensor.h"
+#include "paddle/phi/kernels/empty_kernel.h"
+
+namespace phi {
+namespace sparse {
+
+template <typename T, typename Context>
+void MaxPoolCooGradKernel(const Context& dev_ctx,
+                          const SparseCooTensor& x,
+                          const DenseTensor& rulebook,
+                          const DenseTensor& counter,
+                          const SparseCooTensor& out,
+                          const SparseCooTensor& out_grad,
+                          const std::vector<int>& kernel_sizes,
+                          SparseCooTensor* x_grad);
+
+template <typename T, typename Context>
+SparseCooTensor MaxPoolCooGrad(const Context& dev_ctx,
+                               const SparseCooTensor& x,
+                               const DenseTensor& rulebook,
+                               const DenseTensor& counter,
+                               const SparseCooTensor& out,
+                               const SparseCooTensor& out_grad,
+                               const std::vector<int>& kernel_sizes) {
+  SparseCooTensor x_grad;
+  MaxPoolCooGradKernel<T, Context>(
+      dev_ctx, x, rulebook, counter, out, out_grad, kernel_sizes, &x_grad);
+  return x_grad;
+}
+
+}  // namespace sparse
+}  // namespace phi