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/*
* Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
* Copyright 2017 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_TENSOR_UTILS_H__
#define __NNFW_CKER_TENSOR_UTILS_H__
#include "cker/Types.h"
#include "cker/PortableTensorUtils.h"
#include "cker/NeonTensorUtils.h"
#include "cker/neon/neon_check.h"
#include <cstring>
#include <cmath>
namespace nnfw
{
namespace cker
{
void VectorBatchVectorAssign(const float *vector, int v_size, int n_batch, float *batch_vector)
{
PortableVectorBatchVectorAssign(vector, v_size, n_batch, batch_vector);
}
bool IsZeroVector(const float *vector, int v_size)
{
return NEON_OR_PORTABLE(IsZeroVector, vector, v_size);
}
void ApplyActivationToVector(const float *vector, int v_size,
FusedActivationFunctionType activation, float *result)
{
PortableApplyActivationToVector(vector, v_size, activation, result);
}
void SymmetricQuantizeFloats(const float *values, const int size, int8_t *quantized_values,
float *min, float *max, float *scaling_factor)
{
return NEON_OR_PORTABLE(SymmetricQuantizeFloats, values, size, quantized_values, min, max,
scaling_factor);
}
void MatrixBatchVectorMultiplyAccumulate(const int8_t *matrix, const int m_rows, const int m_cols,
const int8_t *vector, const float *scaling_factors,
int n_batch, float *result, int result_stride)
{
NEON_OR_PORTABLE(MatrixBatchVectorMultiplyAccumulate, matrix, m_rows, m_cols, vector,
scaling_factors, n_batch, result, result_stride);
}
void MatrixBatchVectorMultiplyAccumulate(const float *matrix, int m_rows, int m_cols,
const float *vector, int n_batch, float *result,
int result_stride)
{
NEON_OR_PORTABLE(MatrixBatchVectorMultiplyAccumulate, matrix, m_rows, m_cols, vector, n_batch,
result, result_stride);
}
void MatrixBatchVectorMultiplyAccumulate(const int8_t *matrix, const int m_rows, const int m_cols,
const int8_t *vectors, const float *scaling_factors,
int n_batch, int32_t *scratch, float *result,
int result_stride, ruy::Context *ruy_context)
{
NEON_OR_PORTABLE(MatrixBatchVectorMultiplyAccumulate, matrix, m_rows, m_cols, vectors,
scaling_factors, n_batch, scratch, result, result_stride, ruy_context);
}
void ZeroVector(float *vector, int v_size) { PortableZeroVector(vector, v_size); }
} // namespace cker
} // namespace nnfw
#endif // __NNFW_CKER_TENSOR_UTILS_H__
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