chore: import upstream snapshot with attribution

paddle/phi/kernels/sparse/cpu/full_kernel.cc

@@ -0,0 +1,115 @@
+/* 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/full_kernel.h"
+
+#include "paddle/phi/backends/cpu/cpu_context.h"
+#include "paddle/phi/core/dense_tensor.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/core/tensor_utils.h"
+#include "paddle/phi/kernels/funcs/eigen/common.h"
+#include "paddle/phi/kernels/funcs/eigen/eigen_function.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void FullValue(const Context& dev_ctx, DenseTensor* tensor, T val) {
+  dev_ctx.template Alloc<T>(tensor);
+  auto t = EigenVector<T>::Flatten(*tensor);
+  t.device(*dev_ctx.eigen_device()) = t.constant(val);
+}
+
+template <typename T, typename Context>
+void FullLikeCooKernel(const Context& dev_ctx,
+                       const SparseCooTensor& x,
+                       const Scalar& val,
+                       DataType dtype UNUSED,
+                       SparseCooTensor* out) {
+  phi::Copy<Context>(dev_ctx,
+                     x.non_zero_indices(),
+                     dev_ctx.GetPlace(),
+                     false,
+                     out->mutable_non_zero_indices());
+
+  DenseTensor* values = out->mutable_non_zero_elements();
+  values->Resize(x.non_zero_elements().dims());
+  dev_ctx.template Alloc<T>(values);
+  FullValue<T, Context>(dev_ctx, values, val.to<T>());
+
+  out->set_dims(x.dims());
+}
+
+template <typename T, typename Context>
+void FullLikeCsrKernel(const Context& dev_ctx,
+                       const SparseCsrTensor& x,
+                       const Scalar& val,
+                       DataType dtype UNUSED,
+                       SparseCsrTensor* out) {
+  phi::Copy<Context>(dev_ctx,
+                     x.non_zero_crows(),
+                     dev_ctx.GetPlace(),
+                     false,
+                     out->mutable_non_zero_crows());
+
+  phi::Copy<Context>(dev_ctx,
+                     x.non_zero_cols(),
+                     dev_ctx.GetPlace(),
+                     false,
+                     out->mutable_non_zero_cols());
+
+  DenseTensor* values = out->mutable_non_zero_elements();
+  values->Resize(x.non_zero_elements().dims());
+  dev_ctx.template Alloc<T>(values);
+  FullValue<T, Context>(dev_ctx, values, val.to<T>());
+
+  out->set_dims(x.dims());
+}
+
+}  // namespace phi
+
+PD_REGISTER_KERNEL(full_like_coo,
+                   CPU,
+                   ALL_LAYOUT,
+                   phi::FullLikeCooKernel,
+                   float,
+                   double,
+                   uint8_t,
+                   int16_t,
+                   int,
+                   int64_t,
+                   bool,
+                   phi::bfloat16,
+                   phi::float16,
+                   phi::complex64,
+                   phi::complex128) {
+  kernel->InputAt(0).SetDataLayout(phi::DataLayout::SPARSE_COO);
+}
+
+PD_REGISTER_KERNEL(full_like_csr,
+                   CPU,
+                   ALL_LAYOUT,
+                   phi::FullLikeCsrKernel,
+                   float,
+                   double,
+                   uint8_t,
+                   int16_t,
+                   int,
+                   int64_t,
+                   bool,
+                   phi::bfloat16,
+                   phi::float16,
+                   phi::complex64,
+                   phi::complex128) {
+  kernel->InputAt(0).SetDataLayout(phi::DataLayout::SPARSE_CSR);
+}