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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/layer.hpp"
#include <fplus/fplus.hpp>
#include <cassert>
#include <cstddef>
#include <string>
#include <vector>
namespace fdeep {
namespace internal {
class upsampling_2d_layer : public layer {
public:
explicit upsampling_2d_layer(const std::string& name,
const shape2& scale_factor, const std::string& interpolation)
: layer(name)
, scale_factor_(scale_factor)
, interpolation_(interpolation)
{
}
protected:
tensors apply_impl(const tensors& inputs) const override final
{
const auto& input = single_tensor_from_tensors(inputs);
if (interpolation_ == "nearest") {
return { resize2d_nearest(
input, shape2(scale_factor_.height_ * input.shape().height_, scale_factor_.width_ * input.shape().width_)) };
} else if (interpolation_ == "bilinear") {
return { resize2d_bilinear(
input, shape2(scale_factor_.height_ * input.shape().height_, scale_factor_.width_ * input.shape().width_)) };
} else {
raise_error("Invalid interpolation method: " + interpolation_);
return inputs;
}
}
shape2 scale_factor_;
std::string interpolation_;
};
}
}
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