// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. #pragma once #include "paddle/fluid/operators/math/complex_functors.h" #include "paddle/fluid/platform/for_range.h" #include "paddle/pten/kernels/abs_grad_kernel.h" namespace pten { template void AbsGradKernel(const Context& ctx, const DenseTensor& x, const DenseTensor& dout, DenseTensor* dx) { auto numel = dout.numel(); auto* dout_data = dout.data>(); auto* x_data = x.data(); ctx.template Alloc(dx, static_cast(numel * sizeof(T))); auto* dx_data = dx->data(); paddle::platform::ForRange for_range(ctx, numel); paddle::operators::math::AbsGradFunctor functor( dout_data, x_data, dx_data, numel); for_range(functor); } template void AbsDoubleGradKernel(const Context& ctx, const DenseTensor& x, const DenseTensor& ddx, DenseTensor* ddout) { auto numel = ddx.numel(); auto* ddx_data = ddx.data(); auto* x_data = x.data(); ctx.template Alloc(ddout, static_cast(numel * sizeof(T))); auto* ddout_data = ddout->data(); paddle::platform::ForRange for_range(ctx, numel); paddle::operators::math::AbsGradGradFunctor functor( ddx_data, x_data, ddout_data, numel); for_range(functor); } } // namespace pten