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.
118 lines
4.1 KiB
118 lines
4.1 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. */
|
|
|
|
#include "paddle/fluid/operators/clip_op.h"
|
|
#include <memory>
|
|
|
|
namespace paddle {
|
|
namespace operators {
|
|
|
|
class ClipOp : public framework::OperatorWithKernel {
|
|
public:
|
|
using framework::OperatorWithKernel::OperatorWithKernel;
|
|
|
|
void InferShape(framework::InferShapeContext* ctx) const override {
|
|
PADDLE_ENFORCE(ctx->HasInput("X"),
|
|
"Input(X) of ClipOp should not be null.");
|
|
PADDLE_ENFORCE(ctx->HasOutput("Out"),
|
|
"Output(Out) of ClipOp should not be null.");
|
|
auto x_dims = ctx->GetInputDim("X");
|
|
auto max = ctx->Attrs().Get<float>("max");
|
|
auto min = ctx->Attrs().Get<float>("min");
|
|
PADDLE_ENFORCE_LT(min, max, "max should be greater than min.");
|
|
ctx->SetOutputDim("Out", x_dims);
|
|
ctx->ShareLoD("X", /*->*/ "Out");
|
|
}
|
|
};
|
|
|
|
template <typename AttrType>
|
|
class ClipOpMaker : public framework::OpProtoAndCheckerMaker {
|
|
public:
|
|
void Make() override {
|
|
AddInput("X",
|
|
"Tensor, the input of clip op, data type should be float32 or "
|
|
"float64.");
|
|
AddOutput(
|
|
"Out",
|
|
"Tensor, the clipped tensor, with the same shape and data type as "
|
|
"input(x)");
|
|
AddAttr<AttrType>("min", "float number, the minimum value to clip by.");
|
|
AddAttr<AttrType>("max", "float number, the maximum value to clip by.");
|
|
AddComment(R"DOC(
|
|
Clip Operator.
|
|
|
|
The clip operator limits the value of given input within an interval [min, max],
|
|
just as the following equation,
|
|
|
|
$$
|
|
Out = \MIN(\MAX(x, min), max)
|
|
$$
|
|
|
|
)DOC");
|
|
}
|
|
};
|
|
|
|
class ClipOpGrad : public framework::OperatorWithKernel {
|
|
public:
|
|
using framework::OperatorWithKernel::OperatorWithKernel;
|
|
|
|
void InferShape(framework::InferShapeContext* ctx) const override {
|
|
PADDLE_ENFORCE(ctx->HasInput("X"), "Input(X) should not be null");
|
|
PADDLE_ENFORCE(ctx->HasInput(framework::GradVarName("Out")),
|
|
"Input(Out@GRAD) should not be null");
|
|
auto x_dims = ctx->GetInputDim("X");
|
|
if (ctx->HasOutput(framework::GradVarName("X"))) {
|
|
ctx->SetOutputDim(framework::GradVarName("X"), x_dims);
|
|
}
|
|
}
|
|
};
|
|
|
|
template <typename T>
|
|
class ClipGradOpMaker : public framework::SingleGradOpMaker<T> {
|
|
public:
|
|
using framework::SingleGradOpMaker<T>::SingleGradOpMaker;
|
|
|
|
protected:
|
|
std::unique_ptr<T> Apply() const override {
|
|
std::unique_ptr<T> op(new T());
|
|
op->SetType("clip_grad");
|
|
op->SetInput("X", this->Input("X"));
|
|
op->SetInput(framework::GradVarName("Out"), this->OutputGrad("Out"));
|
|
op->SetOutput(framework::GradVarName("X"), this->InputGrad("X"));
|
|
op->SetAttrMap(this->Attrs());
|
|
return op;
|
|
}
|
|
};
|
|
|
|
DECLARE_INPLACE_OP_INFERER(ClipInplaceInferer, {"X", "Out"});
|
|
DECLARE_INPLACE_OP_INFERER(ClipGradInplaceInferer,
|
|
{framework::GradVarName("Out"),
|
|
framework::GradVarName("X")});
|
|
|
|
} // namespace operators
|
|
} // namespace paddle
|
|
|
|
namespace ops = paddle::operators;
|
|
REGISTER_OPERATOR(clip, ops::ClipOp, ops::ClipOpMaker<float>,
|
|
ops::ClipGradOpMaker<paddle::framework::OpDesc>,
|
|
ops::ClipGradOpMaker<paddle::imperative::OpBase>,
|
|
ops::ClipInplaceInferer);
|
|
REGISTER_OPERATOR(clip_grad, ops::ClipOpGrad, ops::ClipGradInplaceInferer);
|
|
REGISTER_OP_CPU_KERNEL(
|
|
clip, ops::ClipKernel<paddle::platform::CPUDeviceContext, float>,
|
|
ops::ClipKernel<paddle::platform::CPUDeviceContext, double>);
|
|
REGISTER_OP_CPU_KERNEL(
|
|
clip_grad, ops::ClipGradKernel<paddle::platform::CPUDeviceContext, float>,
|
|
ops::ClipGradKernel<paddle::platform::CPUDeviceContext, double>);
|