wehub-resource-sync
48 lines
1.7 KiB
C++
48 lines
1.7 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/huber_loss_kernel.h"
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#include "paddle/phi/backends/xpu/enforce_xpu.h"
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#include "paddle/phi/core/kernel_registry.h"
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namespace phi {
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template <typename T, typename Context>
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void HuberLossKernel(const Context& dev_ctx,
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const DenseTensor& input,
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const DenseTensor& label,
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float delta,
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DenseTensor* out,
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DenseTensor* residual) {
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auto residual_data = dev_ctx.template Alloc<T>(residual);
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auto out_data = dev_ctx.template Alloc<T>(out);
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if (input.numel() == 0) return;
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auto in0_data = input.data<T>();
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auto in1_data = label.data<T>();
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int r = xpu::huber_loss<T>(dev_ctx.x_context(),
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in0_data,
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in1_data,
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residual_data,
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out_data,
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input.numel(),
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1,
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delta);
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PADDLE_ENFORCE_XDNN_SUCCESS(r, "huber_loss");
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}
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} // namespace phi
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PD_REGISTER_KERNEL(huber_loss, XPU, ALL_LAYOUT, phi::HuberLossKernel, float) {}
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