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76 lines
2.6 KiB
76 lines
2.6 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/cross_entropy_op.h"
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namespace paddle {
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namespace operators {
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class OnehotCrossEntropyOp : public framework::OperatorWithKernel {
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public:
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using framework::OperatorWithKernel::OperatorWithKernel;
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protected:
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void InferShape(const framework::InferShapeContext &ctx) const override {
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auto *X = ctx.Input<Tensor>("X");
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auto *label = ctx.Input<Tensor>("label");
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PADDLE_ENFORCE_EQ(X->dims().size(), 2, "X's dimension must be 2.");
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PADDLE_ENFORCE_EQ(label->dims().size(), 1, "label's dimension must be 1.");
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PADDLE_ENFORCE_EQ(X->dims()[0], label->dims()[0]);
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ctx.Output<Tensor>("Y")->Resize({X->dims()[0]});
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}
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};
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class OnehotCrossEntropyGradientOp : public framework::OperatorWithKernel {
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public:
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using framework::OperatorWithKernel::OperatorWithKernel;
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protected:
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void InferShape(const framework::InferShapeContext &ctx) const override {
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auto dX = ctx.Output<Tensor>(framework::GradVarName("X"));
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auto X = ctx.Input<Tensor>("X");
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dX->Resize(X->dims());
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}
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};
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class OnehotCrossEntropyOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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OnehotCrossEntropyOpMaker(framework::OpProto *proto,
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framework::OpAttrChecker *op_checker)
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: OpProtoAndCheckerMaker(proto, op_checker) {
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AddInput("X", "The first input of OnehotCrossEntropyOp");
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AddInput("label", "The second input of OnehotCrossEntropyOp");
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AddOutput("Y", "The output of OnehotCrossEntropyOp");
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AddComment(R"DOC(
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OnehotCrossEntropy Operator.
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Y[i] = -log(X[i][j])
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)DOC");
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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(onehot_cross_entropy, ops::OnehotCrossEntropyOp,
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ops::OnehotCrossEntropyOpMaker, onehot_cross_entropy_grad,
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ops::OnehotCrossEntropyGradientOp);
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REGISTER_OP_CPU_KERNEL(onehot_cross_entropy,
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ops::OnehotCrossEntropyOpKernel<float>);
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REGISTER_OP_CPU_KERNEL(onehot_cross_entropy_grad,
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ops::OnehotCrossEntropyGradientOpKernel<float>);
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