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92 lines
3.2 KiB
92 lines
3.2 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#pragma once
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#include <math.h>
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#include <type_traits>
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#include "paddle/framework/op_registry.h"
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#include "paddle/platform/transform.h"
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namespace paddle {
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namespace operators {
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template <typename T>
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struct LessThanFunctor {
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using ELEM_TYPE = T;
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HOSTDEVICE bool operator()(const T& a, const T& b) const { return a < b; }
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};
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template <typename T>
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struct LessEqualFunctor {
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using ELEM_TYPE = T;
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HOSTDEVICE bool operator()(const T& a, const T& b) const { return a <= b; }
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};
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template <typename T>
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struct GreaterThanFunctor {
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using ELEM_TYPE = T;
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HOSTDEVICE bool operator()(const T& a, const T& b) const { return a > b; }
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};
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template <typename T>
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struct GreaterEqualFunctor {
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using ELEM_TYPE = T;
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HOSTDEVICE bool operator()(const T& a, const T& b) const { return a >= b; }
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};
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template <typename T>
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struct EqualFunctor {
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using ELEM_TYPE = T;
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HOSTDEVICE bool operator()(const T& a, const T& b) const {
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if (std::is_floating_point<T>::value) {
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// This branch will be optimized while compiling if T is integer. It is
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// safe to cast a and b to double.
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return fabs(static_cast<double>(a - b)) < 1e-8;
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} else {
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return (a == b);
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}
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}
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};
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template <typename DeviceContext, typename Functor>
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class CompareOpKernel
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: public framework::OpKernel<typename Functor::ELEM_TYPE> {
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public:
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void Compute(const framework::ExecutionContext& context) const override {
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using T = typename Functor::ELEM_TYPE;
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auto* x = context.Input<framework::Tensor>("X");
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auto* y = context.Input<framework::Tensor>("Y");
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auto* out = context.Output<framework::Tensor>("Out");
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Functor binary_func;
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platform::Transform<DeviceContext> trans;
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trans(context.template device_context<DeviceContext>(), x->data<T>(),
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x->data<T>() + x->numel(), y->data<T>(),
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out->mutable_data<bool>(context.GetPlace()), binary_func);
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}
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};
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} // namespace operators
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} // namespace paddle
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#define REGISTER_LOGICAL_KERNEL(op_type, dev, functor) \
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REGISTER_OP_##dev##_KERNEL( \
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op_type, ::paddle::operators::CompareOpKernel< \
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::paddle::platform::dev##DeviceContext, functor<int>>, \
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::paddle::operators::CompareOpKernel< \
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::paddle::platform::dev##DeviceContext, functor<int64_t>>, \
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::paddle::operators::CompareOpKernel< \
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::paddle::platform::dev##DeviceContext, functor<float>>, \
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::paddle::operators::CompareOpKernel< \
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::paddle::platform::dev##DeviceContext, functor<double>>);
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