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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#if defined(ARMCOMPUTECL_ENABLED)
#include <cl/ClBackend.hpp>
#endif
#if defined(ARMCOMPUTENEON_ENABLED)
#include <neon/NeonBackend.hpp>
#endif
#include <reference/RefBackend.hpp>
#include <armnn/BackendHelper.hpp>
#include <Network.hpp>
#include <doctest/doctest.h>
#include <vector>
#include <string>
using namespace armnn;
#if defined(ARMCOMPUTENEON_ENABLED) && defined(ARMCOMPUTECL_ENABLED)
TEST_SUITE("BackendsCompatibility")
{
// Partially disabled Test Suite
TEST_CASE("Neon_Cl_DirectCompatibility_Test")
{
auto neonBackend = std::make_unique<NeonBackend>();
auto clBackend = std::make_unique<ClBackend>();
TensorHandleFactoryRegistry registry;
neonBackend->RegisterTensorHandleFactories(registry);
clBackend->RegisterTensorHandleFactories(registry);
const BackendId& neonBackendId = neonBackend->GetId();
const BackendId& clBackendId = clBackend->GetId();
BackendsMap backends;
backends[neonBackendId] = std::move(neonBackend);
backends[clBackendId] = std::move(clBackend);
armnn::Graph graph;
armnn::InputLayer* const inputLayer = graph.AddLayer<armnn::InputLayer>(0, "input");
inputLayer->SetBackendId(neonBackendId);
armnn::SoftmaxDescriptor smDesc;
armnn::SoftmaxLayer* const softmaxLayer1 = graph.AddLayer<armnn::SoftmaxLayer>(smDesc, "softmax1");
softmaxLayer1->SetBackendId(clBackendId);
armnn::SoftmaxLayer* const softmaxLayer2 = graph.AddLayer<armnn::SoftmaxLayer>(smDesc, "softmax2");
softmaxLayer2->SetBackendId(neonBackendId);
armnn::SoftmaxLayer* const softmaxLayer3 = graph.AddLayer<armnn::SoftmaxLayer>(smDesc, "softmax3");
softmaxLayer3->SetBackendId(clBackendId);
armnn::SoftmaxLayer* const softmaxLayer4 = graph.AddLayer<armnn::SoftmaxLayer>(smDesc, "softmax4");
softmaxLayer4->SetBackendId(neonBackendId);
armnn::OutputLayer* const outputLayer = graph.AddLayer<armnn::OutputLayer>(0, "output");
outputLayer->SetBackendId(clBackendId);
inputLayer->GetOutputSlot(0).Connect(softmaxLayer1->GetInputSlot(0));
softmaxLayer1->GetOutputSlot(0).Connect(softmaxLayer2->GetInputSlot(0));
softmaxLayer2->GetOutputSlot(0).Connect(softmaxLayer3->GetInputSlot(0));
softmaxLayer3->GetOutputSlot(0).Connect(softmaxLayer4->GetInputSlot(0));
softmaxLayer4->GetOutputSlot(0).Connect(outputLayer->GetInputSlot(0));
graph.TopologicalSort();
std::vector<std::string> errors;
auto result = SelectTensorHandleStrategy(graph, backends, registry, true, errors);
CHECK(result.m_Error == false);
CHECK(result.m_Warning == false);
// OutputSlot& inputLayerOut = inputLayer->GetOutputSlot(0);
// OutputSlot& softmaxLayer1Out = softmaxLayer1->GetOutputSlot(0);
// OutputSlot& softmaxLayer2Out = softmaxLayer2->GetOutputSlot(0);
// OutputSlot& softmaxLayer3Out = softmaxLayer3->GetOutputSlot(0);
// OutputSlot& softmaxLayer4Out = softmaxLayer4->GetOutputSlot(0);
// // Check that the correct factory was selected
// CHECK(inputLayerOut.GetTensorHandleFactoryId() == "Arm/Cl/TensorHandleFactory");
// CHECK(softmaxLayer1Out.GetTensorHandleFactoryId() == "Arm/Cl/TensorHandleFactory");
// CHECK(softmaxLayer2Out.GetTensorHandleFactoryId() == "Arm/Cl/TensorHandleFactory");
// CHECK(softmaxLayer3Out.GetTensorHandleFactoryId() == "Arm/Cl/TensorHandleFactory");
// CHECK(softmaxLayer4Out.GetTensorHandleFactoryId() == "Arm/Cl/TensorHandleFactory");
// // Check that the correct strategy was selected
// CHECK((inputLayerOut.GetEdgeStrategyForConnection(0) == EdgeStrategy::DirectCompatibility));
// CHECK((softmaxLayer1Out.GetEdgeStrategyForConnection(0) == EdgeStrategy::DirectCompatibility));
// CHECK((softmaxLayer2Out.GetEdgeStrategyForConnection(0) == EdgeStrategy::DirectCompatibility));
// CHECK((softmaxLayer3Out.GetEdgeStrategyForConnection(0) == EdgeStrategy::DirectCompatibility));
// CHECK((softmaxLayer4Out.GetEdgeStrategyForConnection(0) == EdgeStrategy::DirectCompatibility));
graph.AddCompatibilityLayers(backends, registry);
// Test for copy layers
int copyCount= 0;
graph.ForEachLayer([©Count](Layer* layer)
{
if (layer->GetType() == LayerType::MemCopy)
{
copyCount++;
}
});
// CHECK(copyCount == 0);
// Test for import layers
int importCount= 0;
graph.ForEachLayer([&importCount](Layer *layer)
{
if (layer->GetType() == LayerType::MemImport)
{
importCount++;
}
});
// CHECK(importCount == 0);
}
}
#endif
TEST_SUITE("BackendCapability")
{
namespace
{
#if defined(ARMNNREF_ENABLED) || defined(ARMCOMPUTENEON_ENABLED) || defined(ARMCOMPUTECL_ENABLED)
void CapabilityTestHelper(BackendCapabilities &capabilities,
std::vector<std::pair<std::string, bool>> capabilityVector)
{
for (auto pair : capabilityVector)
{
CHECK_MESSAGE(armnn::HasCapability(pair.first, capabilities),
pair.first << " capability was not been found");
CHECK_MESSAGE(armnn::HasCapability(BackendOptions::BackendOption{pair.first, pair.second}, capabilities),
pair.first << " capability set incorrectly");
}
}
#endif
#if defined(ARMNNREF_ENABLED)
TEST_CASE("Ref_Backends_Unknown_Capability_Test")
{
auto refBackend = std::make_unique<RefBackend>();
auto refCapabilities = refBackend->GetCapabilities();
armnn::BackendOptions::BackendOption AsyncExecutionFalse{"AsyncExecution", false};
CHECK(!armnn::HasCapability(AsyncExecutionFalse, refCapabilities));
armnn::BackendOptions::BackendOption AsyncExecutionInt{"AsyncExecution", 50};
CHECK(!armnn::HasCapability(AsyncExecutionFalse, refCapabilities));
armnn::BackendOptions::BackendOption AsyncExecutionFloat{"AsyncExecution", 0.0f};
CHECK(!armnn::HasCapability(AsyncExecutionFloat, refCapabilities));
armnn::BackendOptions::BackendOption AsyncExecutionString{"AsyncExecution", "true"};
CHECK(!armnn::HasCapability(AsyncExecutionString, refCapabilities));
CHECK(!armnn::HasCapability("Telekinesis", refCapabilities));
armnn::BackendOptions::BackendOption unknownCapability{"Telekinesis", true};
CHECK(!armnn::HasCapability(unknownCapability, refCapabilities));
}
TEST_CASE ("Ref_Backends_Capability_Test")
{
auto refBackend = std::make_unique<RefBackend>();
auto refCapabilities = refBackend->GetCapabilities();
CapabilityTestHelper(refCapabilities,
{{"NonConstWeights", true},
{"AsyncExecution", true},
{"ProtectedContentAllocation", false},
{"ConstantTensorsAsInputs", true},
{"PreImportIOTensors", true},
{"ExternallyManagedMemory", true},
{"MultiAxisPacking", false}});
}
#endif
#if defined(ARMCOMPUTENEON_ENABLED)
TEST_CASE ("Neon_Backends_Capability_Test")
{
auto neonBackend = std::make_unique<NeonBackend>();
auto neonCapabilities = neonBackend->GetCapabilities();
CapabilityTestHelper(neonCapabilities,
{{"NonConstWeights", false},
{"AsyncExecution", false},
{"ProtectedContentAllocation", false},
{"ConstantTensorsAsInputs", true},
{"PreImportIOTensors", false},
{"ExternallyManagedMemory", true},
{"MultiAxisPacking", false}});
}
#endif
#if defined(ARMCOMPUTECL_ENABLED)
TEST_CASE ("Cl_Backends_Capability_Test")
{
auto clBackend = std::make_unique<ClBackend>();
auto clCapabilities = clBackend->GetCapabilities();
CapabilityTestHelper(clCapabilities,
{{"NonConstWeights", false},
{"AsyncExecution", false},
{"ProtectedContentAllocation", true},
{"ConstantTensorsAsInputs", true},
{"PreImportIOTensors", false},
{"ExternallyManagedMemory", true},
{"MultiAxisPacking", false}});
}
#endif
}
}
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