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.
87 lines
2.9 KiB
87 lines
2.9 KiB
/* 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_op.h"
|
|
#include "paddle/fluid/operators/elementwise/elementwise_op_function.h"
|
|
#include "paddle/fluid/operators/math/blas.h"
|
|
|
|
namespace paddle {
|
|
namespace operators {
|
|
|
|
template <typename T>
|
|
struct ModFunctor {
|
|
inline HOSTDEVICE T operator()(T a, T b) const { return a % b; }
|
|
};
|
|
|
|
template <typename T>
|
|
struct ModFunctorFP {
|
|
inline HOSTDEVICE T operator()(T a, T b) const {
|
|
return fmod(b + fmod(a, b), b);
|
|
}
|
|
};
|
|
|
|
template <typename DeviceContext, typename T>
|
|
void elementwise_mod(const framework::ExecutionContext &ctx,
|
|
const framework::Tensor *x, const framework::Tensor *y,
|
|
framework::Tensor *z) {
|
|
int axis = ctx.Attr<int>("axis");
|
|
ElementwiseComputeEx<ModFunctor<T>, DeviceContext, T>(ctx, x, y, axis,
|
|
ModFunctor<T>(), z);
|
|
}
|
|
|
|
template <typename DeviceContext, typename T>
|
|
void elementwise_mod_fp(const framework::ExecutionContext &ctx,
|
|
const framework::Tensor *x, const framework::Tensor *y,
|
|
framework::Tensor *z) {
|
|
int axis = ctx.Attr<int>("axis");
|
|
ElementwiseComputeEx<ModFunctorFP<T>, DeviceContext, T>(ctx, x, y, axis,
|
|
ModFunctorFP<T>(), z);
|
|
}
|
|
|
|
template <typename DeviceContext, typename T>
|
|
class ElementwiseModKernel : public framework::OpKernel<T> {
|
|
public:
|
|
void Compute(const framework::ExecutionContext &ctx) const override {
|
|
auto *x = ctx.Input<framework::LoDTensor>("X");
|
|
auto *y = ctx.Input<framework::LoDTensor>("Y");
|
|
auto *z = ctx.Output<framework::LoDTensor>("Out");
|
|
|
|
z->mutable_data<T>(ctx.GetPlace());
|
|
|
|
// dtype of x and y is int64 or int32
|
|
elementwise_mod<DeviceContext, T>(ctx, x, y, z);
|
|
}
|
|
};
|
|
|
|
template <typename DeviceContext, typename T>
|
|
class ElementwiseModFPKernel : public framework::OpKernel<T> {
|
|
public:
|
|
void Compute(const framework::ExecutionContext &ctx) const override {
|
|
auto *x = ctx.Input<framework::LoDTensor>("X");
|
|
auto *y = ctx.Input<framework::LoDTensor>("Y");
|
|
auto *z = ctx.Output<framework::LoDTensor>("Out");
|
|
|
|
z->mutable_data<T>(ctx.GetPlace());
|
|
|
|
// dtype of x and y is float or double
|
|
elementwise_mod_fp<DeviceContext, T>(ctx, x, y, z);
|
|
}
|
|
};
|
|
|
|
} // namespace operators
|
|
} // namespace paddle
|