36 lines
1.2 KiB
36 lines
1.2 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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#pragma once
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#include "paddle/operators/type_alias.h"
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namespace paddle {
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namespace operators {
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template <typename Place, typename T>
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class SigmoidKernel : public OpKernel {
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public:
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void Compute(const ExecutionContext& context) const override {
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auto input = context.Input<Tensor>(0);
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auto output = context.Output<Tensor>(0);
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output->mutable_data<T>(context.GetPlace());
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EigenVector<T>::Flatten(*output).device(context.GetEigenDevice<Place>()) =
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1.0 / (1.0 + (-1.0 * EigenVector<T>::Flatten(*input)).exp());
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}
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};
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} // namespace operators
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} // namespace paddle
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