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/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "kernels/Softmax.h"
#include "kernels/Utils.h"
#include <tensorflow/lite/kernels/internal/reference/softmax.h>
#include <stdexcept>
namespace luci_interpreter
{
namespace kernels
{
Softmax::Softmax(const Tensor *input, Tensor *output, const SoftmaxParams ¶ms)
: KernelWithParams<SoftmaxParams>({input}, {output}, params)
{
}
void Softmax::configure()
{
assert(input()->element_type() == output()->element_type());
output()->resize(input()->shape());
}
void Softmax::execute() const
{
switch (input()->element_type())
{
case DataType::FLOAT32:
evalFloat();
break;
default:
throw std::runtime_error("Unsupported type.");
}
}
void Softmax::evalFloat() const
{
tflite::SoftmaxParams params{};
params.beta = _params.beta;
tflite::reference_ops::Softmax(params, getTensorShape(input()), getTensorData<float>(input()),
getTensorShape(output()), getTensorData<float>(output()));
}
} // namespace kernels
} // namespace luci_interpreter
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