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.
72 lines
2.2 KiB
72 lines
2.2 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. */
|
|
|
|
#include "paddle/fluid/operators/elementwise/elementwise_mod_op.h"
|
|
|
|
#include <string>
|
|
|
|
#include "paddle/fluid/operators/elementwise/elementwise_op.h"
|
|
|
|
namespace paddle {
|
|
namespace framework {
|
|
class OpDesc;
|
|
template <typename T>
|
|
class EmptyGradOpMaker;
|
|
} // namespace framework
|
|
namespace imperative {
|
|
class OpBase;
|
|
} // namespace imperative
|
|
namespace platform {
|
|
class CPUDeviceContext;
|
|
struct CPUPlace;
|
|
} // namespace platform
|
|
} // namespace paddle
|
|
|
|
namespace paddle {
|
|
namespace operators {
|
|
class ElementwiseModOpMaker : public ElementwiseOpMaker {
|
|
protected:
|
|
std::string GetName() const override { return "Mod"; }
|
|
std::string GetEquation() const override { return "Out = X \\\\% Y"; }
|
|
|
|
void AddInputX() override {
|
|
AddInput("X",
|
|
"(Tensor), Tensor of any dimensions. Its dtype "
|
|
"should be int32, int64, float32 or float64.");
|
|
}
|
|
|
|
void AddInputY() override {
|
|
AddInput("Y",
|
|
"(Tensor), Tensor of any dimensions. Its dtype "
|
|
"should be int32, int64, float32 or float64.");
|
|
}
|
|
|
|
std::string GetOpFuntionality() const override {
|
|
return "Mod two tensors element-wise";
|
|
}
|
|
};
|
|
} // namespace operators
|
|
} // namespace paddle
|
|
|
|
namespace ops = paddle::operators;
|
|
REGISTER_OP_WITHOUT_GRADIENT(elementwise_mod, ops::ElementwiseOp,
|
|
ops::ElementwiseModOpMaker);
|
|
|
|
REGISTER_OP_CPU_KERNEL(
|
|
elementwise_mod,
|
|
ops::ElementwiseModKernel<paddle::platform::CPUDeviceContext, int>,
|
|
ops::ElementwiseModKernel<paddle::platform::CPUDeviceContext, int64_t>,
|
|
ops::ElementwiseModFPKernel<paddle::platform::CPUDeviceContext, float>,
|
|
ops::ElementwiseModFPKernel<paddle::platform::CPUDeviceContext, double>);
|