41 lines
1.4 KiB
C++
41 lines
1.4 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include "paddle/phi/kernels/dist_kernel.h"
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#include "paddle/phi/backends/cpu/cpu_context.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/elementwise_subtract_kernel.h"
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#include "paddle/phi/kernels/full_kernel.h"
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#include "paddle/phi/kernels/p_norm_kernel.h"
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namespace phi {
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template <typename T, typename Context>
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void DistKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& y,
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float p,
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DenseTensor* out) {
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if (x.numel() == 0 || y.numel() == 0) {
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Full<T, Context>(dev_ctx, out->dims(), 0, out);
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return;
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}
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auto t = Subtract<T, Context>(dev_ctx, x, y);
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PNormKernel<T, Context>(dev_ctx, t, p, -1, 1e-12, false, true, out);
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}
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} // namespace phi
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PD_REGISTER_KERNEL(dist, CPU, ALL_LAYOUT, phi::DistKernel, float, double) {}
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