rec/fdeep/layers/softplus_layer.hpp
2020-03-18 14:42:46 +08:00

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1.2 KiB
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// Copyright 2016, Tobias Hermann.
// https://github.com/Dobiasd/frugally-deep
// Distributed under the MIT License.
// (See accompanying LICENSE file or at
// https://opensource.org/licenses/MIT)
#pragma once
#include "fdeep/layers/activation_layer.hpp"
#include <limits>
#include <string>
namespace fdeep { namespace internal
{
class softplus_layer : public activation_layer
{
public:
explicit softplus_layer(const std::string& name)
: activation_layer(name)
{
}
protected:
tensor5 transform_input(const tensor5& in_vol) const override
{
auto activation_function = [](float_type x) -> float_type
{
// https://github.com/tensorflow/tensorflow/blob/626808e4e4a83aafbb3809a30db57bb78e839040/tensorflow/core/kernels/softplus_op.h#L41
const float_type threshold =
std::log(std::numeric_limits<float_type>::epsilon()) + 2;
if (x > -threshold) // too_large
return x;
else if (x < threshold) // too_small
return std::exp(x);
else
return std::log1p(std::exp(x));
};
return transform_tensor5(activation_function, in_vol);
}
};
} } // namespace fdeep, namespace internal