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/*
* Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
* Copyright 2018 The TensorFlow Authors. 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 __NNFW_CKER_TYPES_H__
#define __NNFW_CKER_TYPES_H__
#include <cstdint>
namespace nnfw
{
namespace cker
{
enum class FusedActivationFunctionType
{
kNone = 0,
kRelu6 = 1,
kRelu1 = 2,
kRelu = 3,
};
enum class PaddingType
{
kNone = 0,
kSame = 1,
kValid = 2,
};
struct PaddingValues
{
int16_t width;
int16_t height;
};
struct PoolParams
{
FusedActivationFunctionType activation;
PaddingType padding_type;
PaddingValues padding_values;
int stride_height;
int stride_width;
int filter_height;
int filter_width;
// uint8, etc, activation params.
int32_t quantized_activation_min;
int32_t quantized_activation_max;
// float activation params.
float float_activation_min;
float float_activation_max;
};
struct SoftmaxParams
{
// beta is not really used (not a Tensorflow parameter) and not implemented
// for LogSoftmax.
double beta;
// uint8 inference params. Used even when beta defaults to 1.0.
int32_t input_multiplier;
int32_t input_left_shift;
// Reverse scaling is only used by LogSoftmax.
int32_t reverse_scaling_divisor;
int32_t reverse_scaling_right_shift;
int diff_min;
};
} // namespace cker
} // namespace nnfw
#endif // __NNFW_CKER_TYPES_H__
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