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.
92 lines
3.2 KiB
92 lines
3.2 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
|
|
|
|
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/operators/prelu_op.h"
|
|
#include "paddle/operators/net_op.h"
|
|
|
|
namespace paddle {
|
|
namespace operators {
|
|
|
|
class PReluOp : public framework::OperatorWithKernel {
|
|
public:
|
|
PReluOp(const std::string &type, const framework::VariableNameMap &inputs,
|
|
const framework::VariableNameMap &outputs,
|
|
const framework::AttributeMap &attrs)
|
|
: OperatorWithKernel(type, inputs, outputs, attrs) {}
|
|
|
|
void InferShape(framework::InferShapeContext *ctx) const override {
|
|
PADDLE_ENFORCE(ctx->HasInput("X"), "Input(X) should not be null");
|
|
PADDLE_ENFORCE(ctx->HasInput("Alpha"), "Input(Alpha) should not be null");
|
|
PADDLE_ENFORCE(product(ctx->GetInputDim("Alpha")) == 1,
|
|
"Size of weight Alpha must be one.");
|
|
PADDLE_ENFORCE(ctx->HasOutput("Out"), "Output(Out) should not be null");
|
|
ctx->SetOutputDim("Out", ctx->GetInputDim("X"));
|
|
ctx->ShareLoD("X", /*->*/ "Out");
|
|
}
|
|
};
|
|
|
|
class PReluOpMaker : public framework::OpProtoAndCheckerMaker {
|
|
public:
|
|
PReluOpMaker(framework::OpProto *proto, framework::OpAttrChecker *op_checker)
|
|
: OpProtoAndCheckerMaker(proto, op_checker) {
|
|
AddInput("X", "The input tensor of prelu operator.");
|
|
AddInput("Alpha", "The alpha weight of prelu operator.");
|
|
AddOutput("Out", "The output tensor of prelu operator.");
|
|
AddComment(R"DOC(
|
|
PRelu Operator.
|
|
|
|
The equation is:
|
|
|
|
$$
|
|
f(x) =
|
|
\begin{cases}
|
|
\alpha * x, \quad \text{if} \ x < 0 \\
|
|
x, \qquad \text{if} \ x >= 0
|
|
\end{cases}
|
|
$$
|
|
|
|
The input `X` can carry the LoD (Level of Details) information,
|
|
or not. And the output shares the LoD information with input `X`.
|
|
|
|
)DOC");
|
|
}
|
|
};
|
|
|
|
// The operator to calculate gradients of a prelu operator.
|
|
class PReluGradOp : public framework::OperatorWithKernel {
|
|
public:
|
|
using framework::OperatorWithKernel::OperatorWithKernel;
|
|
|
|
void InferShape(framework::InferShapeContext *ctx) const override {
|
|
PADDLE_ENFORCE(ctx->HasInput("X"), "Input(X) must not be null.");
|
|
PADDLE_ENFORCE(ctx->HasInput(framework::GradVarName("Out")),
|
|
"Input(Out@GRAD) should not be null");
|
|
ctx->SetOutputDim(framework::GradVarName("X"), ctx->GetInputDim("X"));
|
|
ctx->SetOutputDim(framework::GradVarName("Alpha"),
|
|
ctx->GetInputDim("Alpha"));
|
|
}
|
|
};
|
|
|
|
} // namespace operators
|
|
} // namespace paddle
|
|
|
|
namespace ops = paddle::operators;
|
|
|
|
REGISTER_OP(prelu, ops::PReluOp, ops::PReluOpMaker, prelu_grad,
|
|
ops::PReluGradOp);
|
|
REGISTER_OP_CPU_KERNEL(prelu,
|
|
ops::PReluKernel<paddle::platform::CPUPlace, float>);
|
|
REGISTER_OP_CPU_KERNEL(prelu_grad,
|
|
ops::PReluGradKernel<paddle::platform::CPUPlace, float>);
|