// 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/phi/core/sparse_coo_tensor.h" #include "paddle/phi/core/sparse_csr_tensor.h" namespace phi { namespace sparse { #define DECLARE_SPARSE_UNARY_GRAD_KERNEL(prefix) \ template \ void prefix##CooGradKernel(const Context& dev_ctx, \ const SparseCooTensor& x_or_out, \ const SparseCooTensor& dout, \ SparseCooTensor* dx); \ \ template \ void prefix##CsrGradKernel(const Context& dev_ctx, \ const SparseCsrTensor& x_or_out, \ const SparseCsrTensor& dout, \ SparseCsrTensor* dx); #define DECLARE_SPARSE_UNARY_GRAD_KERNEL_WITH_ONE_ATTR(prefix, attr) \ template \ void prefix##CooGradKernel(const Context& dev_ctx, \ const SparseCooTensor& x_or_out, \ const SparseCooTensor& dout, \ float attr, \ SparseCooTensor* dx); \ \ template \ void prefix##CsrGradKernel(const Context& dev_ctx, \ const SparseCsrTensor& x_or_out, \ const SparseCsrTensor& dout, \ float attr, \ SparseCsrTensor* dx); DECLARE_SPARSE_UNARY_GRAD_KERNEL(Sin) DECLARE_SPARSE_UNARY_GRAD_KERNEL(Tan) DECLARE_SPARSE_UNARY_GRAD_KERNEL(Asin) DECLARE_SPARSE_UNARY_GRAD_KERNEL(Atan) DECLARE_SPARSE_UNARY_GRAD_KERNEL(Sinh) DECLARE_SPARSE_UNARY_GRAD_KERNEL(Asinh) DECLARE_SPARSE_UNARY_GRAD_KERNEL(Atanh) DECLARE_SPARSE_UNARY_GRAD_KERNEL(Relu) DECLARE_SPARSE_UNARY_GRAD_KERNEL(Tanh) DECLARE_SPARSE_UNARY_GRAD_KERNEL(Square) DECLARE_SPARSE_UNARY_GRAD_KERNEL(Sqrt) DECLARE_SPARSE_UNARY_GRAD_KERNEL(Log1p) DECLARE_SPARSE_UNARY_GRAD_KERNEL(Abs) DECLARE_SPARSE_UNARY_GRAD_KERNEL_WITH_ONE_ATTR(Pow, factor) template void CastCooGradKernel(const Context& dev_ctx, const SparseCooTensor& x, const SparseCooTensor& dout, DataType value_dtype, SparseCooTensor* dx); template void CastCsrGradKernel(const Context& dev_ctx, const SparseCsrTensor& x, const SparseCsrTensor& dout, DataType value_dtype, SparseCsrTensor* dx); template void TransposeCooGradKernel(const Context& dev_ctx, const SparseCooTensor& dout, const std::vector& perm, SparseCooTensor* dx); template void TransposeCsrGradKernel(const Context& dev_ctx, const SparseCsrTensor& dout, const std::vector& perm, SparseCsrTensor* dx); template void ReshapeCooGradKernel(const Context& dev_ctx, const SparseCooTensor& x, const SparseCooTensor& dout, SparseCooTensor* dx); template void ReshapeCsrGradKernel(const Context& dev_ctx, const SparseCsrTensor& x, const SparseCsrTensor& dout, SparseCsrTensor* dx); } // namespace sparse } // namespace phi