/* Copyright (c) 2016 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 #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/operators/elementwise/elementwise_op_function.h" #include "paddle/fluid/platform/transform.h" namespace paddle { namespace operators { template struct LessThanFunctor { using ELEM_TYPE = T; HOSTDEVICE bool operator()(const T& a, const T& b) const { return a < b; } }; template struct LessEqualFunctor { using ELEM_TYPE = T; HOSTDEVICE bool operator()(const T& a, const T& b) const { return a <= b; } }; template struct GreaterThanFunctor { using ELEM_TYPE = T; HOSTDEVICE bool operator()(const T& a, const T& b) const { return a > b; } }; template struct GreaterEqualFunctor { using ELEM_TYPE = T; HOSTDEVICE bool operator()(const T& a, const T& b) const { return a >= b; } }; template struct EqualFunctor { using ELEM_TYPE = T; HOSTDEVICE bool operator()(const T& a, const T& b) const { if (std::is_floating_point::value) { // This branch will be optimized while compiling if T is integer. It is // safe to cast a and b to double. return fabs(static_cast(a - b)) < 1e-8; } else { return (a == b); } } }; template struct NotEqualFunctor { using ELEM_TYPE = T; HOSTDEVICE bool operator()(const T& a, const T& b) const { return !EqualFunctor()(a, b); } }; template class CompareOpKernel : public framework::OpKernel { public: void Compute(const framework::ExecutionContext& context) const override { using T = typename Functor::ELEM_TYPE; using Tensor = framework::Tensor; auto* x = context.Input("X"); auto* y = context.Input("Y"); auto* z = context.Output("Out"); int axis = context.Attr("axis"); ElementwiseComputeEx(context, x, y, axis, Functor(), z); } }; } // namespace operators } // namespace paddle #define REGISTER_COMPARE_KERNEL(op_type, dev, functor) \ REGISTER_OP_##dev##_KERNEL( \ op_type, ::paddle::operators::CompareOpKernel< \ ::paddle::platform::dev##DeviceContext, functor>, \ ::paddle::operators::CompareOpKernel< \ ::paddle::platform::dev##DeviceContext, functor>, \ ::paddle::operators::CompareOpKernel< \ ::paddle::platform::dev##DeviceContext, functor>, \ ::paddle::operators::CompareOpKernel< \ ::paddle::platform::dev##DeviceContext, functor>);