wehub-resource-sync
67 lines
2.1 KiB
C++
67 lines
2.1 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/selected_rows/activation_kernel.h"
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#include "paddle/phi/backends/cpu/cpu_context.h"
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#include "paddle/phi/backends/gpu/gpu_context.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/activation_kernel.h"
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namespace phi {
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namespace sr {
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template <typename T, typename Context>
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void SquareKernel(const Context& dev_ctx,
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const SelectedRows& x,
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SelectedRows* out) {
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out->set_rows(x.rows());
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out->set_height(x.height());
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phi::SquareKernel<T, Context>(dev_ctx, x.value(), out->mutable_value());
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}
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template <typename T, typename Context>
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void SqrtKernel(const Context& dev_ctx,
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const SelectedRows& x,
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SelectedRows* out) {
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out->set_rows(x.rows());
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out->set_height(x.height());
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phi::SqrtKernel<T, Context>(dev_ctx, x.value(), out->mutable_value());
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}
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} // namespace sr
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} // namespace phi
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PD_REGISTER_KERNEL(
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square_sr, CPU, ALL_LAYOUT, phi::sr::SquareKernel, float, double) {}
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PD_REGISTER_KERNEL(
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sqrt_sr, CPU, ALL_LAYOUT, phi::sr::SqrtKernel, float, double) {}
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#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
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PD_REGISTER_KERNEL(square_sr,
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GPU,
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ALL_LAYOUT,
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phi::sr::SquareKernel,
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float,
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double,
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int,
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int64_t) {}
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PD_REGISTER_KERNEL(
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sqrt_sr, GPU, ALL_LAYOUT, phi::sr::SqrtKernel, float, double) {}
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#endif
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