/* Copyright (c) 2019 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/framework/eigen.h" #include "paddle/fluid/operators/elementwise/elementwise_functor.h" #include "paddle/fluid/operators/elementwise/elementwise_op.h" #include "paddle/fluid/operators/math/blas.h" namespace paddle { namespace operators { template void elementwise_floor_div(const framework::ExecutionContext &ctx, const framework::Tensor *x, const framework::Tensor *y, framework::Tensor *z) { int axis = ctx.Attr("axis"); auto x_dims = x->dims(); auto y_dims = y->dims(); if (x_dims.size() >= y_dims.size()) { ElementwiseComputeEx, DeviceContext, T>( ctx, x, y, axis, FloorDivFunctor(), z); } else { ElementwiseComputeEx, DeviceContext, T>( ctx, x, y, axis, InverseFloorDivFunctor(), z); } } template class ElementwiseFloorDivKernel : public framework::OpKernel { public: void Compute(const framework::ExecutionContext &ctx) const override { auto *x = ctx.Input("X"); auto *y = ctx.Input("Y"); auto *z = ctx.Output("Out"); z->mutable_data(ctx.GetPlace()); // dtype of x and y is int64 or int32 elementwise_floor_div(ctx, x, y, z); } }; } // namespace operators } // namespace paddle