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//
// Copyright © 2017 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "CommonTestUtils.hpp"
#include <armnn/backends/IBackendInternal.hpp>
using namespace armnn;
SubgraphView::InputSlots CreateInputsFrom(Layer* layer,
std::vector<unsigned int> ignoreSlots)
{
SubgraphView::InputSlots result;
for (auto&& it = layer->BeginInputSlots(); it != layer->EndInputSlots(); ++it)
{
if (std::find(ignoreSlots.begin(), ignoreSlots.end(), it->GetSlotIndex()) != ignoreSlots.end())
{
continue;
}
else
{
result.push_back(&(*it));
}
}
return result;
}
// ignoreSlots assumes you want to ignore the same slots all on layers within the vector
SubgraphView::InputSlots CreateInputsFrom(const std::vector<Layer*>& layers,
std::vector<unsigned int> ignoreSlots)
{
SubgraphView::InputSlots result;
for (auto&& layer: layers)
{
for (auto&& it = layer->BeginInputSlots(); it != layer->EndInputSlots(); ++it)
{
if (std::find(ignoreSlots.begin(), ignoreSlots.end(), it->GetSlotIndex()) != ignoreSlots.end())
{
continue;
}
else
{
result.push_back(&(*it));
}
}
}
return result;
}
SubgraphView::OutputSlots CreateOutputsFrom(const std::vector<Layer*>& layers)
{
SubgraphView::OutputSlots result;
for (auto && layer : layers)
{
for (auto&& it = layer->BeginOutputSlots(); it != layer->EndOutputSlots(); ++it)
{
result.push_back(&(*it));
}
}
return result;
}
SubgraphView::SubgraphViewPtr CreateSubgraphViewFrom(SubgraphView::InputSlots&& inputs,
SubgraphView::OutputSlots&& outputs,
SubgraphView::Layers&& layers)
{
return std::make_unique<SubgraphView>(std::move(inputs), std::move(outputs), std::move(layers));
}
armnn::IBackendInternalUniquePtr CreateBackendObject(const armnn::BackendId& backendId)
{
auto& backendRegistry = BackendRegistryInstance();
auto backendFactory = backendRegistry.GetFactory(backendId);
auto backendObjPtr = backendFactory();
return backendObjPtr;
}
armnn::TensorShape MakeTensorShape(unsigned int batches,
unsigned int channels,
unsigned int height,
unsigned int width,
armnn::DataLayout layout)
{
using namespace armnn;
switch (layout)
{
case DataLayout::NCHW:
return TensorShape{ batches, channels, height, width };
case DataLayout::NHWC:
return TensorShape{ batches, height, width, channels };
default:
throw InvalidArgumentException(std::string("Unsupported data layout: ") + GetDataLayoutName(layout));
}
}
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