// Copyright (c) 2024 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 #include "paddle/phi/kernels/empty_kernel.h" #include "paddle/phi/kernels/flatten_grad_kernel.h" #include "paddle/phi/kernels/flatten_kernel.h" #include "paddle/phi/kernels/funcs/blas/blas.h" #include "paddle/phi/kernels/funcs/flatten2_utils.h" #include "paddle/phi/kernels/funcs/math_function.h" namespace phi { template void Flatten2Kernel(const Context &dev_ctx, const DenseTensor &x, int axis, DenseTensor *out, DenseTensor *x_shape) { auto &axes = axis; auto *in = &x; auto x_dims = in->dims(); auto out_dims = make_ddim(funcs::GetOutputShape(axes, x_dims)); dev_ctx.Alloc(out, x.dtype()); Copy(dev_ctx, *in, dev_ctx.GetPlace(), false, out); out->Resize(out_dims); } template void Flatten2GradKernel(const Context &dev_ctx, const DenseTensor &x, const DenseTensor &x_shape, const DenseTensor &out_grad, int axis, DenseTensor *x_grad) { auto *d_x = x_grad; auto *d_out = &out_grad; auto xshape_dims = x_shape.dims(); auto x_dims = slice_ddim(xshape_dims, 1, xshape_dims.size()); dev_ctx.Alloc(x_grad, out_grad.dtype()); Copy(dev_ctx, *d_out, dev_ctx.GetPlace(), false, d_x); d_x->Resize(x_dims); } } // namespace phi