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paddlepaddle--paddle/paddle/phi/kernels/cpu/flip_kernel.cc
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2026-07-13 12:40:42 +08:00

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// 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/flip_kernel.h"
#include <bitset>
#include "paddle/phi/backends/cpu/cpu_context.h"
#include "paddle/phi/core/kernel_registry.h"
namespace phi {
constexpr size_t dim_bitset_size = 64;
template <typename T, typename Context>
void FlipKernel(const Context& dev_ctx,
const DenseTensor& x,
const std::vector<int>& axis,
DenseTensor* out) {
auto x_dims = x.dims();
const int total_dims = x_dims.size();
std::bitset<dim_bitset_size> dim_bitset;
for (auto& item : axis) {
auto dim = item;
if (item < 0) {
dim += total_dims;
}
dim_bitset[dim] = true;
}
auto x_strides = common::stride(x_dims);
auto numel = x.numel();
const T* x_data = x.data<T>();
T* out_data = dev_ctx.template Alloc<T>(out);
if (out->numel() == 0) {
return;
}
#ifdef PADDLE_WITH_MKLML
#pragma omp parallel for
#endif
for (int64_t i = 0; i < numel; ++i) {
int64_t cur_indices = i;
int64_t rem = 0;
int64_t dst_offset = 0;
for (int d = 0; d < total_dims; ++d) {
int64_t temp = cur_indices;
cur_indices = cur_indices / x_strides[d];
rem = temp - cur_indices * x_strides[d];
dst_offset += dim_bitset[d] ? (x_dims[d] - 1 - cur_indices) * x_strides[d]
: cur_indices * x_strides[d];
cur_indices = rem;
}
out_data[i] = x_data[dst_offset];
}
}
} // namespace phi
PD_REGISTER_KERNEL(flip,
CPU,
ALL_LAYOUT,
phi::FlipKernel,
float,
double,
int32_t,
int64_t,
bool,
phi::complex64,
phi::complex128) {}