wehub-resource-sync
127 lines
4.7 KiB
C++
127 lines
4.7 KiB
C++
// 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) {}
|