chore: import upstream snapshot with attribution

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

@@ -0,0 +1,126 @@
+// 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/unary_kernel.h"
+
+#include "paddle/common/ddim.h"
+#include "paddle/phi/kernels/sparse/sparse_utils_kernel.h"
+
+#include "paddle/phi/backends/cpu/cpu_context.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/kernels/funcs/eigen/common.h"
+#include "paddle/phi/kernels/funcs/eigen/eigen_function.h"
+#include "paddle/phi/kernels/sparse/empty_kernel.h"
+#include "paddle/phi/kernels/sparse/impl/unary_grad_kernel_impl.h"
+#include "paddle/phi/kernels/sparse/impl/unary_kernel_impl.h"
+
+namespace phi::sparse {
+
+template <typename T, typename IntT, typename Context>
+void ReshapeCooCPUKernel(const Context& dev_ctx,
+                         const SparseCooTensor& x,
+                         const phi::IntArray& shape,
+                         SparseCooTensor* out) {
+  // TODO(OccupyMars2025): Currently, reshape is only applicable to sparse dims
+  int64_t x_nnz = x.nnz();
+
+  // Use DDim::reshape to handle -1 and 0 in the argument "shape"
+  std::vector<int> new_shape(shape.GetData().begin(), shape.GetData().end());
+  DDim out_dims = x.dims().reshape(new_shape);
+  // get sparse part dimensions of x and out
+  std::vector<int64_t> x_sparse_part_dims;
+  std::vector<int64_t> out_sparse_part_dims;
+  for (int i = 0; i < x.sparse_dim(); ++i) {
+    x_sparse_part_dims.push_back(x.dims()[i]);
+  }
+  for (int i = 0; i < out_dims.size() - x.dense_dim(); ++i) {
+    out_sparse_part_dims.push_back(out_dims[i]);
+  }
+  DenseTensor out_indices = Empty<IntT, Context>(
+      dev_ctx, {static_cast<int64_t>(out_sparse_part_dims.size()), x_nnz});
+  DenseTensor out_values(x.values());
+  out->SetMember(out_indices, out_values, out_dims, x.coalesced());
+
+  // compute values of indices
+  const DenseTensor& x_indices = x.indices();
+  const auto* x_indices_data = x_indices.data<IntT>();
+  auto* out_indices_data = out_indices.data<IntT>();
+
+  const DDim& x_sparse_part_strides =
+      common::stride(make_ddim(x_sparse_part_dims));
+  const DDim& out_sparse_part_strides =
+      common::stride(make_ddim(out_sparse_part_dims));
+  int64_t location = 0;
+  for (int64_t j = 0; j < x_nnz; ++j) {
+    location = 0;
+    for (int i = 0; i < x.sparse_dim(); ++i) {
+      location += x_indices_data[i * x_nnz + j] * x_sparse_part_strides[i];
+    }
+    for (int i = 0; i < static_cast<int>(out_sparse_part_dims.size()); ++i) {
+      out_indices_data[i * x_nnz + j] = location / out_sparse_part_strides[i];
+      location %= out_sparse_part_strides[i];
+    }
+  }
+}
+
+template <typename T, typename Context>
+void ReshapeCooKernel(const Context& dev_ctx,
+                      const SparseCooTensor& x,
+                      const phi::IntArray& shape,
+                      SparseCooTensor* out) {
+  PD_VISIT_BASE_INTEGRAL_TYPES(
+      x.indices().dtype(), "ReshapeCooCPUKernel", ([&] {
+        ReshapeCooCPUKernel<T, data_t, Context>(dev_ctx, x, shape, out);
+      }));
+}
+
+template <typename T, typename Context>
+void ReshapeCsrKernel(const Context& dev_ctx,
+                      const SparseCsrTensor& x,
+                      const phi::IntArray& shape,
+                      SparseCsrTensor* out) {
+  // transform csr format to coo format, and then use coo kernel
+  const SparseCooTensor x_coo = CsrToCoo<T, Context>(dev_ctx, x);
+  SparseCooTensor out_coo;
+  ReshapeCooKernel<T, Context>(dev_ctx, x_coo, shape, &out_coo);
+  CooToCsrKernel<T, Context>(dev_ctx, out_coo, out);
+}
+
+}  // namespace phi::sparse
+
+PD_REGISTER_KERNEL(reshape_coo,
+                   CPU,
+                   ALL_LAYOUT,
+                   phi::sparse::ReshapeCooKernel,
+                   float,
+                   double,
+                   int8_t,
+                   uint8_t,
+                   int16_t,
+                   int,
+                   int64_t,
+                   bool) {}
+
+PD_REGISTER_KERNEL(reshape_csr,
+                   CPU,
+                   ALL_LAYOUT,
+                   phi::sparse::ReshapeCsrKernel,
+                   float,
+                   double,
+                   int8_t,
+                   uint8_t,
+                   int16_t,
+                   int,
+                   int64_t,
+                   bool) {}