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86 lines
3.1 KiB
86 lines
3.1 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#include "paddle/operators/clip_op.h"
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namespace paddle {
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namespace operators {
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class ClipOp : public framework::OperatorWithKernel {
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public:
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using framework::OperatorWithKernel::OperatorWithKernel;
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void InferShape(framework::InferShapeContext* ctx) const override {
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PADDLE_ENFORCE(ctx->HasInput("X"),
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"Input(X) of ClipOp should not be null.");
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PADDLE_ENFORCE(ctx->HasOutput("Out"),
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"Output(Out) of ClipOp should not be null.");
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auto x_dims = ctx->GetInputDim("X");
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auto max = ctx->Attrs().Get<float>("max");
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auto min = ctx->Attrs().Get<float>("min");
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PADDLE_ENFORCE_LT(min, max, "max should be greater than min.");
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ctx->SetOutputDim("Out", x_dims);
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ctx->ShareLoD("X", /*->*/ "Out");
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}
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};
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template <typename AttrType>
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class ClipOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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ClipOpMaker(framework::OpProto* proto, framework::OpAttrChecker* op_checker)
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: OpProtoAndCheckerMaker(proto, op_checker) {
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AddInput("X",
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"(Tensor)The input of clip op."
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"The number of dimensions must be between [1, 9].");
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AddOutput("Out", "(Tensor)The output of clip op with shape as input(X)");
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AddAttr<AttrType>(
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"min", "(float)Minimum value, under which element is replaced by min.");
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AddAttr<AttrType>(
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"max", "(float)Maximum value, above which element is replaced by max");
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AddComment(R"DOC(
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Clip Operator.
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The clip operator limits the value of given input within an interval. The interval is
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specified with arguments 'min' and 'max'.
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)DOC");
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}
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};
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class ClipOpGrad : public framework::OperatorWithKernel {
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public:
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using framework::OperatorWithKernel::OperatorWithKernel;
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void InferShape(framework::InferShapeContext* ctx) const override {
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PADDLE_ENFORCE(ctx->HasInput("X"), "Input(X) should not be null");
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PADDLE_ENFORCE(ctx->HasInput(framework::GradVarName("Out")),
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"Input(Out@GRAD) should not be null");
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auto x_dims = ctx->GetInputDim("X");
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if (ctx->HasOutput(framework::GradVarName("X"))) {
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ctx->SetOutputDim(framework::GradVarName("X"), x_dims);
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}
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}
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};
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} // namespace operators
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} // namespace paddle
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namespace ops = paddle::operators;
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REGISTER_OP(clip, ops::ClipOp, ops::ClipOpMaker<float>, clip_grad,
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ops::ClipOpGrad);
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REGISTER_OP_CPU_KERNEL(clip,
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ops::ClipKernel<paddle::platform::CPUPlace, float>);
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REGISTER_OP_CPU_KERNEL(clip_grad,
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ops::ClipGradKernel<paddle::platform::CPUPlace, float>);
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