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/*
* Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
* Copyright (C) 2017 The Android Open Source Project
*
* 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 "FullyConnected.h"
#include "Assert.h"
#if 0
#include "internal/Matrix.h"
#include "internal/Fused.h"
#include "internal/GEMM.h"
#include "internal/ActivationUtils.h"
#endif
bool fullyConnectedPrepare(const Shape &input, const Shape &weights, const Shape &bias,
Shape *output)
{
// Check all the parameters of tensor match within themselves and match the
// input configuration.
ASSERT(input.type == weights.type);
if (input.type == OperandType::TENSOR_QUANT8_ASYMM)
{
ASSERT(bias.type == OperandType::TENSOR_INT32);
}
else
{
ASSERT(input.type == bias.type);
}
ASSERT(getNumberOfDimensions(input) >= 2);
uint32_t input_size = getNumberOfElements(input);
uint32_t num_units = getSizeOfDimension(weights, 0);
// modified to resolve Coverity 118949 (Apr 25, 2018) by hyunsik.yoon
// Original Code:
// uint32_t batch_size = input_size / getSizeOfDimension(weights, 1);
//
// Coverity Detection: Division by zero
//
// Code below is modified code
uint32_t shape_size = getSizeOfDimension(weights, 1);
if (shape_size == 0)
{
return false;
}
uint32_t batch_size = input_size / shape_size;
ASSERT(getSizeOfDimension(bias, 0) == num_units);
ASSERT(getSizeOfDimension(weights, 1) * batch_size == input_size);
ASSERT(getNumberOfDimensions(weights) == 2);
output->type = input.type;
output->dimensions = {batch_size, num_units};
return true;
}
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