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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.
#pragma once
#include "paddle/phi/backends/cpu/cpu_context.h"
#include "paddle/phi/backends/gpu/gpu_context.h"
#include "paddle/phi/core/dense_tensor.h"
#ifdef PADDLE_WITH_XPU
#include "paddle/phi/backends/xpu/xpu_context.h"
#endif
namespace phi {
namespace funcs {
template <typename Context, typename RepeatsT>
class RepeatsTensor2IndexTensorFunctor {
public:
void operator()(const Context &ctx,
const DenseTensor &repeats,
DenseTensor *index);
};
#if defined(__NVCC__) || defined(__HIPCC__)
template <typename RepeatsT>
class RepeatsTensor2IndexTensorFunctor<GPUContext, RepeatsT> {
public:
void operator()(const GPUContext &ctx,
const DenseTensor &repeats,
DenseTensor *index);
};
#else
template <typename RepeatsT>
class RepeatsTensor2IndexTensorFunctor<CPUContext, RepeatsT> {
public:
void operator()(const CPUContext &ctx,
const DenseTensor &repeats,
DenseTensor *index);
};
#endif
#ifdef PADDLE_WITH_XPU
template <typename RepeatsT>
class RepeatsTensor2IndexTensorFunctor<XPUContext, RepeatsT> {
public:
void operator()(const XPUContext &ctx,
const DenseTensor &repeats,
DenseTensor *index);
};
#endif
} // namespace funcs
} // namespace phi