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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/core/dense_tensor.h"
#include "paddle/phi/kernels/funcs/eigen/common.h"
#include "paddle/phi/kernels/impl/renorm_impl.h"
#include "paddle/phi/kernels/renorm_kernel.h"
namespace phi {
template <typename T, typename Context>
void RenormKernel(const Context& dev_ctx,
const DenseTensor& x,
float p,
int axis,
float max_norm,
DenseTensor* out) {
out->Resize(x.dims());
dev_ctx.template Alloc<T>(out);
if (out && out->numel() == 0) {
return;
}
auto x_ptr = x.template data<T>();
auto numel = x.numel();
int dim = axis;
auto input_dims = x.dims();
auto dimension_each = input_dims[dim];
funcs::RenormFunc(dev_ctx,
x_ptr,
out->data<T>(),
p,
axis,
max_norm,
dimension_each,
input_dims,
numel);
}
} // namespace phi