wehub-resource-sync
67 lines
2.7 KiB
C++
67 lines
2.7 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 AddActXPUKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const optional<DenseTensor>& x_max,
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const DenseTensor& y,
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const optional<DenseTensor>& y_max,
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int act_type,
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DenseTensor* out,
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DenseTensor* out_max) {
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using XPUType = typename XPUTypeTrait<T>::Type;
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auto* x_data = reinterpret_cast<const XPUType*>(x.data<T>());
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const float* x_max_data =
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x_max.get_ptr() == nullptr ? nullptr : x_max.get_ptr()->data<float>();
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auto* y_data = reinterpret_cast<const XPUType*>(y.data<T>());
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const float* y_max_data =
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y_max.get_ptr() == nullptr ? nullptr : y_max.get_ptr()->data<float>();
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auto* out_data = reinterpret_cast<XPUType*>(dev_ctx.template Alloc<T>(out));
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std::vector<int64_t> x_shape = vectorize(x.dims());
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std::vector<int64_t> y_shape = vectorize(y.dims());
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xpu::Activation_t act(static_cast<xpu::Activation_t::act_enum>(act_type));
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int r =
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xpu::add_activation_fusion<XPUType, XPUType, XPUType>( // TX/TY/TZ/TID
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/* baidu::xpu::api::Context* ctx */ dev_ctx.x_context(),
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/* const TX* x */ x_data,
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/* const TY* y */ y_data,
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/* TZ* z */ out_data,
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/* const std::vector<int64_t>& x_shape */ x_shape,
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/* const std::vector<int64_t>& y_shape */ y_shape,
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/* const float* max_x */ x_max_data,
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/* const float* max_y */ y_max_data,
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/* float* max_z */ dev_ctx.template Alloc<float>(out_max),
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/* const baidu::xpu::api::Activation_t& act */ act);
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PADDLE_ENFORCE_XDNN_SUCCESS(r, "add_act_xpu");
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}
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} // namespace fusion
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} // namespace phi
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PD_REGISTER_KERNEL(add_act_xpu,
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XPU,
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ALL_LAYOUT,
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phi::fusion::AddActXPUKernel,
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float,
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phi::float16) {}
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