wehub-resource-sync
50 lines
1.8 KiB
C++
50 lines
1.8 KiB
C++
// Copyright (c) 2023 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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#pragma once
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#include "paddle/phi/backends/xpu/enforce_xpu.h"
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#include "paddle/phi/backends/xpu/xpu_context.h"
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namespace phi {
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//////// Sum Functor ///////
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struct SumFunctor {
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template <typename Context, typename X, typename Y>
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void operator()(const Context& xpu_ctx,
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const X* x,
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Y* y,
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const std::vector<int64_t>& xdims,
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const std::vector<int64_t>& reduce_dims) {
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using XPUType = typename XPUTypeTrait<X>::Type;
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#ifndef PADDLE_WITH_XPU_PLUGIN
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int r = xpu::reduce_sum<XPUType>(xpu_ctx,
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reinterpret_cast<const XPUType*>(x),
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reinterpret_cast<XPUType*>(y),
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xdims,
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reduce_dims);
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PADDLE_ENFORCE_XDNN_SUCCESS(r, "reduce_sum");
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#else
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int r = xpu::plugin::fast_reduce_sum<XPUType>(
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xpu_ctx,
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reinterpret_cast<const XPUType*>(x),
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reinterpret_cast<XPUType*>(y),
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std::vector<int>(xdims.begin(), xdims.end()),
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std::vector<int>(reduce_dims.begin(), reduce_dims.end()));
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PADDLE_ENFORCE_XDNN_SUCCESS(r, "fast_reduce_sum");
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#endif
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}
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};
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} // namespace phi
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