wehub-resource-sync
73 lines
2.5 KiB
C++
73 lines
2.5 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/mean_all_grad_kernel.h"
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#include "paddle/phi/backends/xpu/enforce_xpu.h"
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#include "paddle/phi/common/memory_utils.h"
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#include "paddle/phi/core/kernel_registry.h"
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namespace phi {
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template <typename T, typename Context>
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void MeanAllGradKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& out_grad,
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DenseTensor* x_grad) {
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if (x_grad && x_grad->numel() == 0) {
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dev_ctx.template Alloc<T>(x_grad);
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return;
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}
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using XPUType = typename XPUTypeTrait<T>::Type;
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auto IG = x_grad;
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dev_ctx.template Alloc<T>(IG);
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auto OG = &out_grad;
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PADDLE_ENFORCE_EQ(
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OG->numel(),
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1,
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common::errors::InvalidArgument("Mean Gradient should be scalar"));
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auto dev_version =
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backends::xpu::get_xpu_version(dev_ctx.GetPlace().GetDeviceId());
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if (dev_version == backends::xpu::XPUVersion::XPU3) {
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int r =
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xpu::mean_all_grad(dev_ctx.x_context(),
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reinterpret_cast<const XPUType*>(out_grad.data<T>()),
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reinterpret_cast<XPUType*>(IG->data<T>()),
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IG->numel());
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PADDLE_ENFORCE_XDNN_SUCCESS(r, "mean_all_grad");
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return;
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}
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XPUType* dx = reinterpret_cast<XPUType*>(IG->data<T>());
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const T* dy = OG->data<T>();
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T dy0_value;
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xpu_wait(dev_ctx.x_context()->xpu_stream);
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memory_utils::Copy(CPUPlace(), &dy0_value, OG->place(), dy, sizeof(T));
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float dy0_fp32 = static_cast<float>(dy0_value);
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dy0_fp32 = dy0_fp32 / static_cast<float>(IG->numel());
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int r = xpu::constant(
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dev_ctx.x_context(), dx, IG->numel(), static_cast<XPUType>(dy0_fp32));
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PADDLE_ENFORCE_XDNN_SUCCESS(r, "mean_all_grad");
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}
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} // namespace phi
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PD_REGISTER_KERNEL(mean_all_grad,
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XPU,
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ALL_LAYOUT,
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phi::MeanAllGradKernel,
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float,
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phi::float16) {}
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