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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/dist_kernel.h"
#include "paddle/phi/backends/cpu/cpu_context.h"
#include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/kernels/elementwise_subtract_kernel.h"
#include "paddle/phi/kernels/full_kernel.h"
#include "paddle/phi/kernels/p_norm_kernel.h"
namespace phi {
template <typename T, typename Context>
void DistKernel(const Context& dev_ctx,
const DenseTensor& x,
const DenseTensor& y,
float p,
DenseTensor* out) {
if (x.numel() == 0 || y.numel() == 0) {
Full<T, Context>(dev_ctx, out->dims(), 0, out);
return;
}
auto t = Subtract<T, Context>(dev_ctx, x, y);
PNormKernel<T, Context>(dev_ctx, t, p, -1, 1e-12, false, true, out);
}
} // namespace phi
PD_REGISTER_KERNEL(dist, CPU, ALL_LAYOUT, phi::DistKernel, float, double) {}