wehub-resource-sync
63 lines
2.4 KiB
C++
63 lines
2.4 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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#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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namespace fusion {
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template <typename T, typename Context>
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void AddCMulXPUKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& y,
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const DenseTensor& w,
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DenseTensor* out) {
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using XPUType = typename XPUTypeTrait<T>::Type;
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const auto* x_data = x.data<T>();
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const auto* y_data = y.data<T>();
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const auto* w_data = w.data<T>();
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auto* out_data = dev_ctx.template Alloc<T>(out);
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#ifdef PADDLE_WITH_XPU_PLUGIN
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int r = xpu::plugin::fast_addcmul(dev_ctx.x_context(),
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reinterpret_cast<const XPUType*>(w_data),
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reinterpret_cast<const XPUType*>(x_data),
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reinterpret_cast<const XPUType*>(y_data),
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reinterpret_cast<XPUType*>(out_data),
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x.numel());
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PADDLE_ENFORCE_XDNN_SUCCESS(r, "fast_addcmul");
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#else
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int r = xpu::addcmul(dev_ctx.x_context(),
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reinterpret_cast<const XPUType*>(w_data),
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reinterpret_cast<const XPUType*>(x_data),
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reinterpret_cast<const XPUType*>(y_data),
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reinterpret_cast<XPUType*>(out_data),
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1.0f,
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x.numel());
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PADDLE_ENFORCE_XDNN_SUCCESS(r, "addcmul");
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#endif
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}
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} // namespace fusion
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} // namespace phi
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PD_REGISTER_KERNEL(addcmul_xpu,
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XPU,
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ALL_LAYOUT,
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phi::fusion::AddCMulXPUKernel,
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float,
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phi::float16,
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phi::bfloat16) {}
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