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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 "fdeep/recurrent_ops.hpp"
#include <algorithm>
#include <string>
namespace fdeep {
namespace internal {
class log_softmax_layer : public activation_layer {
public:
explicit log_softmax_layer(const std::string& name)
: activation_layer(name)
{
}
protected:
tensor transform_input(const tensor& in_vol) const override
{
return transform_tensor([this](float_type x) {
return std::log(x);
},
softmax(in_vol));
}
};
}
}
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