You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
95 lines
3.3 KiB
95 lines
3.3 KiB
/* 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 <math.h>
|
|
#include <type_traits>
|
|
#include "paddle/fluid/framework/op_registry.h"
|
|
#include "paddle/fluid/platform/transform.h"
|
|
|
|
namespace paddle {
|
|
namespace operators {
|
|
|
|
template <typename T>
|
|
struct LogicalAndFunctor {
|
|
using ELEM_TYPE = T;
|
|
HOSTDEVICE bool operator()(const T& a, const T& b) const { return a && b; }
|
|
};
|
|
|
|
template <typename T>
|
|
struct LogicalOrFunctor {
|
|
using ELEM_TYPE = T;
|
|
HOSTDEVICE bool operator()(const T& a, const T& b) const { return a || b; }
|
|
};
|
|
|
|
template <typename T>
|
|
struct LogicalNotFunctor {
|
|
using ELEM_TYPE = T;
|
|
HOSTDEVICE bool operator()(const T& a) const { return !a; }
|
|
};
|
|
|
|
template <typename T>
|
|
struct LogicalXorFunctor {
|
|
using ELEM_TYPE = T;
|
|
HOSTDEVICE bool operator()(const T& a, const T& b) const {
|
|
return (a || b) && !(a && b);
|
|
}
|
|
};
|
|
|
|
template <typename DeviceContext, typename Functor>
|
|
class BinaryLogicalOpKernel
|
|
: public framework::OpKernel<typename Functor::ELEM_TYPE> {
|
|
public:
|
|
void Compute(const framework::ExecutionContext& context) const override {
|
|
using T = typename Functor::ELEM_TYPE;
|
|
auto* x = context.Input<framework::Tensor>("X");
|
|
auto* y = context.Input<framework::Tensor>("Y");
|
|
auto* out = context.Output<framework::Tensor>("Out");
|
|
Functor binary_func;
|
|
platform::Transform<DeviceContext> trans;
|
|
trans(context.template device_context<DeviceContext>(), x->data<T>(),
|
|
x->data<T>() + x->numel(), y->data<T>(),
|
|
out->mutable_data<bool>(context.GetPlace()), binary_func);
|
|
}
|
|
};
|
|
|
|
template <typename DeviceContext, typename Functor>
|
|
class UnaryLogicalOpKernel
|
|
: public framework::OpKernel<typename Functor::ELEM_TYPE> {
|
|
public:
|
|
void Compute(const framework::ExecutionContext& context) const override {
|
|
using T = typename Functor::ELEM_TYPE;
|
|
auto* x = context.Input<framework::Tensor>("X");
|
|
auto* out = context.Output<framework::Tensor>("Out");
|
|
Functor unary_func;
|
|
platform::Transform<DeviceContext> trans;
|
|
trans(context.template device_context<DeviceContext>(), x->data<T>(),
|
|
x->data<T>() + x->numel(),
|
|
out->mutable_data<bool>(context.GetPlace()), unary_func);
|
|
}
|
|
};
|
|
|
|
} // namespace operators
|
|
} // namespace paddle
|
|
|
|
#define REGISTER_BINARY_LOGICAL_KERNEL(op_type, dev, functor) \
|
|
REGISTER_OP_##dev##_KERNEL( \
|
|
op_type, ::paddle::operators::BinaryLogicalOpKernel< \
|
|
::paddle::platform::dev##DeviceContext, functor<bool>>);
|
|
|
|
#define REGISTER_UNARY_LOGICAL_KERNEL(op_type, dev, functor) \
|
|
REGISTER_OP_##dev##_KERNEL( \
|
|
op_type, ::paddle::operators::UnaryLogicalOpKernel< \
|
|
::paddle::platform::dev##DeviceContext, functor<bool>>);
|