wehub-resource-sync
48 lines
1.8 KiB
C++
48 lines
1.8 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/label_smooth_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 LabelSmoothKernel(const Context& dev_ctx,
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const DenseTensor& label,
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const optional<DenseTensor>& prior_dist,
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float epsilon,
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DenseTensor* out) {
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auto label_dim = label.dims()[label.dims().size() - 1];
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if (label.numel() == 0) {
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dev_ctx.template Alloc<T>(out);
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return;
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}
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auto ptr = dev_ctx.template Alloc<T>(out);
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if (prior_dist.is_initialized()) {
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PADDLE_THROW(
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common::errors::External("XPU doesn't support dist label smooth"));
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} else {
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int r = xpu::label_smooth<T>(dev_ctx.x_context(),
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label.data<T>(),
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ptr,
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label.numel(),
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epsilon,
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label_dim);
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PADDLE_ENFORCE_XDNN_SUCCESS(r, "label_smooth");
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}
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}
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} // namespace phi
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PD_REGISTER_KERNEL(
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label_smooth, XPU, ALL_LAYOUT, phi::LabelSmoothKernel, float) {}
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