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/*
* Copyright (c) 2021 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.
*/
#ifndef LUCI_INTERPRETER_PAL_LOGSOFTMAX_H
#define LUCI_INTERPRETER_PAL_LOGSOFTMAX_H
#include <tensorflow/lite/kernels/internal/optimized/optimized_ops.h>
namespace luci_interpreter_pal
{
static inline void PopulateSoftmaxLookupTable(tflite::SoftmaxParams *data, float input_scale,
float beta)
{
tflite::optimized_ops::PopulateSoftmaxLookupTable(data, input_scale, beta);
}
static inline void InitializeParams(tflite::SoftmaxParams *params, float input_scale, float beta)
{
// Do nothing for linux
(void)params;
(void)input_scale;
(void)beta;
}
static inline void LogSoftmax(const tflite::SoftmaxParams ¶ms, float input_scale,
const tflite::RuntimeShape &input_shape, const uint8 *input_data,
const tflite::RuntimeShape &output_shape, uint8 *output_data)
{
tflite::optimized_ops::LogSoftmax(params, input_scale, input_shape, input_data, output_shape,
output_data);
}
} // namespace luci_interpreter_pal
#endif // LUCI_INTERPRETER_PAL_LOGSOFTMAX_H
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