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//
// Copyright © 2021 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "StaticRangeStrategy.hpp"
#include <armnn/utility/IgnoreUnused.hpp>
#include <armnn/Descriptors.hpp>
#include <armnn/Types.hpp>
#include <limits>
namespace armnn
{
StaticRangeStrategy::StaticRangeStrategy(RangeTracker& rangeTracker)
: m_RangeTracker(rangeTracker)
{}
void StaticRangeStrategy::SetRange(const IConnectableLayer* layer, unsigned int outputIdx, float min, float max)
{
m_RangeTracker.SetRange(layer, outputIdx, min, max);
}
void StaticRangeStrategy::ForwardParentParameters(const IConnectableLayer* layer)
{
const auto parentRange = m_RangeTracker.GetRange(layer->GetInputSlot(0).GetConnection()->GetOwningLayerGuid(), 0);
SetRange(layer, 0, parentRange.first, parentRange.second);
}
void StaticRangeStrategy::ExecuteStrategy(const armnn::IConnectableLayer *layer,
const BaseDescriptor &descriptor,
const std::vector<armnn::ConstTensor> &constants,
const char *name,
const armnn::LayerBindingId id)
{
IgnoreUnused(id, name);
switch (layer->GetType())
{
case armnn::LayerType::Activation :
{
const ActivationDescriptor& activationDescriptor = static_cast<const ActivationDescriptor&>(descriptor);
switch (activationDescriptor.m_Function)
{
// Range is 0, 15 for Abs, Linear, ReLu and Soft ReLu
case ActivationFunction::Abs:
case ActivationFunction::Linear:
case ActivationFunction::ReLu:
case ActivationFunction::SoftReLu:
SetRange(layer, 0, 0.f, 15.f);
break;
case ActivationFunction::BoundedReLu:
SetRange(layer, 0, 0.f, activationDescriptor.m_A);
break;
case ActivationFunction::TanH:
SetRange(layer, 0, -1.f, 1.f);
break;
case ActivationFunction::LeakyReLu:
SetRange(layer, 0, -5.f, 15.f);
break;
default:
SetRange(layer, 0, -15.f, 15.f);
break;
}
break;
}
case armnn::LayerType::Addition :
{
SetRange(layer, 0, -20.f, 20.f);
break;
}
case armnn::LayerType::ArgMinMax :
{
ForwardParentParameters(layer);
break;
}
case armnn::LayerType::BatchToSpaceNd :
{
ForwardParentParameters(layer);
break;
}
case armnn::LayerType::BatchNormalization :
{
SetRange(layer, 0, -15.0f, 15.0f);
break;
}
case armnn::LayerType::Concat :
{
float min = std::numeric_limits<float>::max();
float max = std::numeric_limits<float>::lowest();
for (unsigned int i = 0; i < layer->GetNumInputSlots(); ++i)
{
const IOutputSlot* outputSlot = layer->GetInputSlot(i).GetConnection();
LayerGuid layerId = outputSlot->GetOwningLayerGuid();
unsigned int slotIndex = outputSlot->CalculateIndexOnOwner();
RangeTracker::MinMaxRange range = m_RangeTracker.GetRange(layerId, slotIndex);
min = std::min(min, range.first);
max = std::max(max, range.second);
}
SetRange(layer, 0, min, max);
break;
}
case armnn::LayerType::Constant :
{
if (constants[0].GetDataType() != DataType::Float32)
{
throw InvalidArgumentException("Quantization is supported only for FP32 tensors");
}
// Work out the range based on the input constants
unsigned int inputNumElements = constants[0].GetNumElements();
const float* inputData = reinterpret_cast<const float*>(constants[0].GetMemoryArea());
float min = std::numeric_limits<float>::max();
float max = std::numeric_limits<float>::lowest();
for (unsigned int i = 0; i < inputNumElements; i++)
{
const float inputValue = inputData[i];
min = std::min(min, inputValue);
max = std::max(max, inputValue);
}
SetRange(layer, 0, min, max);
break;
}
case armnn::LayerType::Convolution2d :
{
SetRange(layer, 0, -15.0f, 15.0f);
break;
}
case armnn::LayerType::DepthwiseConvolution2d :
{
SetRange(layer, 0, -15.0f, 15.0f);
break;
}
case armnn::LayerType::FullyConnected :
{
SetRange(layer, 0, -15.0f, 15.0f);
break;
}
case armnn::LayerType::Permute :
{
ForwardParentParameters(layer);
break;
}
case armnn::LayerType::Pooling2d :
{
ForwardParentParameters(layer);
break;
}
case armnn::LayerType::Reshape :
{
ForwardParentParameters(layer);
break;
}
case armnn::LayerType::Resize :
{
ForwardParentParameters(layer);
break;
}
case armnn::LayerType::Splitter :
{
ForwardParentParameters(layer);
break;
}
case armnn::LayerType::SpaceToBatchNd :
{
ForwardParentParameters(layer);
break;
}
case armnn::LayerType::Softmax :
{
SetRange(layer, 0, 0.f, 1.f);
break;
}
case armnn::LayerType::StridedSlice :
{
ForwardParentParameters(layer);
break;
}
default:
{
}
}
}
} //namespace armnn
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