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//
// Copyright © 2020-2021,2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include <Graph.hpp>
#include <Network.hpp>
#include <neon/NeonTensorHandle.hpp>
#include <neon/NeonTensorHandleFactory.hpp>
#include <armnn/utility/NumericCast.hpp>
#include <armnn/utility/PolymorphicDowncast.hpp>
#include <GraphUtils.hpp>
#include <arm_compute/runtime/Allocator.h>
#include <CommonTestUtils.hpp>
#include <doctest/doctest.h>
#include <armnn/utility/Assert.hpp>
TEST_SUITE("NeonTensorHandleTests")
{
using namespace armnn;
TEST_CASE("NeonTensorHandleGetCapabilitiesNoPadding")
{
std::shared_ptr<NeonMemoryManager> memoryManager = std::make_shared<NeonMemoryManager>();
NeonTensorHandleFactory handleFactory(memoryManager);
INetworkPtr network(INetwork::Create());
// Add the layers
IConnectableLayer* input = network->AddInputLayer(0);
SoftmaxDescriptor descriptor;
descriptor.m_Beta = 1.0f;
IConnectableLayer* softmax = network->AddSoftmaxLayer(descriptor);
IConnectableLayer* output = network->AddOutputLayer(2);
// Establish connections
input->GetOutputSlot(0).Connect(softmax->GetInputSlot(0));
softmax->GetOutputSlot(0).Connect(output->GetInputSlot(0));
// No padding required for input
std::vector<Capability> capabilities = handleFactory.GetCapabilities(input,
softmax,
CapabilityClass::PaddingRequired);
CHECK(capabilities.empty());
// No padding required for Softmax
capabilities = handleFactory.GetCapabilities(softmax, output, CapabilityClass::PaddingRequired);
CHECK(capabilities.empty());
// No padding required for output
capabilities = handleFactory.GetCapabilities(output, nullptr, CapabilityClass::PaddingRequired);
CHECK(capabilities.empty());
}
TEST_CASE("NeonTensorHandleGetCapabilitiesPadding")
{
std::shared_ptr<NeonMemoryManager> memoryManager = std::make_shared<NeonMemoryManager>();
NeonTensorHandleFactory handleFactory(memoryManager);
INetworkPtr network(INetwork::Create());
// Add the layers
IConnectableLayer* input = network->AddInputLayer(0);
Pooling2dDescriptor descriptor;
IConnectableLayer* pooling = network->AddPooling2dLayer(descriptor);
IConnectableLayer* output = network->AddOutputLayer(2);
// Establish connections
input->GetOutputSlot(0).Connect(pooling->GetInputSlot(0));
pooling->GetOutputSlot(0).Connect(output->GetInputSlot(0));
// No padding required for input
std::vector<Capability> capabilities = handleFactory.GetCapabilities(input,
pooling,
CapabilityClass::PaddingRequired);
CHECK(capabilities.empty());
// No padding required for output
capabilities = handleFactory.GetCapabilities(output, nullptr, CapabilityClass::PaddingRequired);
CHECK(capabilities.empty());
// Padding required for Pooling2d
capabilities = handleFactory.GetCapabilities(pooling, output, CapabilityClass::PaddingRequired);
CHECK(capabilities.size() == 1);
CHECK((capabilities[0].m_CapabilityClass == CapabilityClass::PaddingRequired));
CHECK(capabilities[0].m_Value);
}
TEST_CASE("NeonTensorHandleFactoryMemoryManaged")
{
std::shared_ptr<NeonMemoryManager> memoryManager = std::make_shared<NeonMemoryManager>(
std::make_unique<arm_compute::Allocator>(),
BaseMemoryManager::MemoryAffinity::Offset);
NeonTensorHandleFactory handleFactory(memoryManager);
TensorInfo info({ 1, 1, 2, 1 }, DataType::Float32);
// create TensorHandle with memory managed
auto handle = handleFactory.CreateTensorHandle(info, true);
handle->Manage();
handle->Allocate();
memoryManager->Acquire();
{
float* buffer = reinterpret_cast<float*>(handle->Map());
CHECK(buffer != nullptr); // Yields a valid pointer
buffer[0] = 1.5f;
buffer[1] = 2.5f;
CHECK(buffer[0] == 1.5f); // Memory is writable and readable
CHECK(buffer[1] == 2.5f); // Memory is writable and readable
}
memoryManager->Release();
memoryManager->Acquire();
{
float* buffer = reinterpret_cast<float*>(handle->Map());
CHECK(buffer != nullptr); // Yields a valid pointer
buffer[0] = 3.5f;
buffer[1] = 4.5f;
CHECK(buffer[0] == 3.5f); // Memory is writable and readable
CHECK(buffer[1] == 4.5f); // Memory is writable and readable
}
memoryManager->Release();
float testPtr[2] = { 2.5f, 5.5f };
// Cannot import as import is disabled
CHECK_THROWS_AS(handle->Import(static_cast<void*>(testPtr), MemorySource::Malloc), MemoryImportException);
}
TEST_CASE("NeonTensorHandleFactoryImport")
{
std::shared_ptr<NeonMemoryManager> memoryManager = std::make_shared<NeonMemoryManager>(
std::make_unique<arm_compute::Allocator>(),
BaseMemoryManager::MemoryAffinity::Offset);
NeonTensorHandleFactory handleFactory(memoryManager);
TensorInfo info({ 1, 1, 2, 1 }, DataType::Float32);
// create TensorHandle without memory managed
auto handle = handleFactory.CreateTensorHandle(info, false);
handle->Manage();
handle->Allocate();
memoryManager->Acquire();
// No buffer allocated when import is enabled
CHECK((PolymorphicDowncast<NeonTensorHandle*>(handle.get()))->GetTensor().buffer() == nullptr);
float testPtr[2] = { 2.5f, 5.5f };
// Correctly import
CHECK(handle->Import(static_cast<void*>(testPtr), MemorySource::Malloc));
float* buffer = reinterpret_cast<float*>(handle->Map());
CHECK(buffer != nullptr); // Yields a valid pointer after import
CHECK(buffer == testPtr); // buffer is pointing to testPtr
// Memory is writable and readable with correct value
CHECK(buffer[0] == 2.5f);
CHECK(buffer[1] == 5.5f);
buffer[0] = 3.5f;
buffer[1] = 10.0f;
CHECK(buffer[0] == 3.5f);
CHECK(buffer[1] == 10.0f);
memoryManager->Release();
}
TEST_CASE("NeonTensorHandleCanBeImported")
{
std::shared_ptr<NeonMemoryManager> memoryManager = std::make_shared<NeonMemoryManager>(
std::make_unique<arm_compute::Allocator>(),
BaseMemoryManager::MemoryAffinity::Offset);
NeonTensorHandleFactory handleFactory(memoryManager);
TensorInfo info({ 1, 1, 2, 1 }, DataType::Float32);
// create TensorHandle (Memory Managed status is irrelevant)
auto handle = handleFactory.CreateTensorHandle(info, false);
// Create an aligned buffer
float alignedBuffer[2] = { 2.5f, 5.5f };
// Check aligned buffers return true
CHECK(handle->CanBeImported(&alignedBuffer, MemorySource::Malloc) == true);
// Create a misaligned buffer from the aligned one
float* misalignedBuffer = reinterpret_cast<float*>(reinterpret_cast<char*>(alignedBuffer) + 1);
// Check misaligned buffers return false
CHECK(handle->CanBeImported(static_cast<void*>(misalignedBuffer), MemorySource::Malloc) == false);
}
TEST_CASE("NeonTensorHandleSupportsInPlaceComputation")
{
std::shared_ptr<NeonMemoryManager> memoryManager = std::make_shared<NeonMemoryManager>();
NeonTensorHandleFactory handleFactory(memoryManager);
// NeonTensorHandleFactory supports InPlaceComputation
ARMNN_ASSERT(handleFactory.SupportsInPlaceComputation());
}
}
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