41 lines
1.3 KiB
C++
41 lines
1.3 KiB
C++
/* Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#pragma once
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#include "paddle/phi/kernels/funcs/eigen/common.h"
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#include "paddle/phi/kernels/funcs/eigen/eigen_function.h"
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#include "paddle/phi/kernels/increment_kernel.h"
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namespace phi {
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template <typename T, typename Context>
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void IncrementKernel(const Context& dev_ctx,
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const DenseTensor& x,
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float value,
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DenseTensor* out) {
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dev_ctx.template Alloc<T>(out);
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if (x.numel() == 0) {
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return;
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}
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auto& dev = *dev_ctx.eigen_device();
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funcs::EigenAdd<std::decay_t<decltype(dev)>, T>::Eval(
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dev,
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EigenScalar<T>::From(*out),
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EigenScalar<T>::From(x),
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static_cast<T>(value));
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}
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} // namespace phi
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