chore: import upstream snapshot with attribution

paddle/phi/kernels/sparse/sparse_utils_grad_kernel.cc

@@ -0,0 +1,138 @@
+/* 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/sparse/sparse_utils_grad_kernel.h"
+
+#include "paddle/phi/core/kernel_registry.h"
+
+namespace phi::sparse {
+
+template <typename T, typename Context>
+void ValuesCooGradKernel(const Context& dev_ctx UNUSED,
+                         const SparseCooTensor& x,
+                         const DenseTensor& out_grad,
+                         SparseCooTensor* x_grad) {
+  x_grad->SetMember(x.indices(), out_grad, x.dims(), true);
+}
+
+template <typename T, typename Context>
+void CooToDenseGradKernel(const Context& dev_ctx,
+                          const SparseCooTensor& x,
+                          const DenseTensor& out_grad,
+                          SparseCooTensor* x_grad) {
+  MaskAsCooKernel<T, Context>(dev_ctx, out_grad, x, x_grad);
+}
+
+}  // namespace phi::sparse
+
+PD_REGISTER_KERNEL(values_coo_grad,
+                   CPU,
+                   ALL_LAYOUT,
+                   phi::sparse::ValuesCooGradKernel,
+                   float,
+                   double,
+                   uint8_t,
+                   int8_t,
+                   int16_t,
+                   int,
+                   int64_t,
+                   bool,
+                   phi::complex64,
+                   phi::complex128) {
+  kernel->InputAt(0).SetDataLayout(phi::DataLayout::SPARSE_COO);
+}
+
+PD_REGISTER_KERNEL(coo_to_dense_grad,
+                   CPU,
+                   ALL_LAYOUT,
+                   phi::sparse::CooToDenseGradKernel,
+                   float,
+                   double,
+                   uint8_t,
+                   int8_t,
+                   int16_t,
+                   int,
+                   int64_t,
+                   bool,
+                   phi::complex64,
+                   phi::complex128) {
+  kernel->InputAt(0).SetDataLayout(phi::DataLayout::SPARSE_COO);
+}
+
+PD_REGISTER_KERNEL(sparse_coo_tensor_grad,
+                   CPU,
+                   ALL_LAYOUT,
+                   phi::sparse::SparseCooTensorGradKernel,
+                   float,
+                   double,
+                   paddle::float16,
+                   uint8_t,
+                   int16_t,
+                   int,
+                   int64_t,
+                   phi::complex64,
+                   phi::complex128) {
+  kernel->InputAt(1).SetDataLayout(phi::DataLayout::SPARSE_COO);
+}
+
+#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
+PD_REGISTER_KERNEL(values_coo_grad,
+                   GPU,
+                   ALL_LAYOUT,
+                   phi::sparse::ValuesCooGradKernel,
+                   float,
+                   double,
+                   phi::float16,
+                   uint8_t,
+                   int8_t,
+                   int16_t,
+                   int,
+                   int64_t,
+                   bool,
+                   phi::complex64,
+                   phi::complex128) {
+  kernel->InputAt(0).SetDataLayout(phi::DataLayout::SPARSE_COO);
+}
+PD_REGISTER_KERNEL(coo_to_dense_grad,
+                   GPU,
+                   ALL_LAYOUT,
+                   phi::sparse::CooToDenseGradKernel,
+                   float,
+                   double,
+                   phi::float16,
+                   uint8_t,
+                   int8_t,
+                   int16_t,
+                   int,
+                   int64_t,
+                   bool,
+                   phi::complex64,
+                   phi::complex128) {
+  kernel->InputAt(0).SetDataLayout(phi::DataLayout::SPARSE_COO);
+}
+PD_REGISTER_KERNEL(sparse_coo_tensor_grad,
+                   GPU,
+                   ALL_LAYOUT,
+                   phi::sparse::SparseCooTensorGradKernel,
+                   float,
+                   double,
+                   uint8_t,
+                   int16_t,
+                   int,
+                   int64_t,
+                   phi::complex64,
+                   phi::complex128) {
+  kernel->InputAt(1).SetDataLayout(phi::DataLayout::SPARSE_COO);
+}
+#endif