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/*
* Copyright (c) 2019 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef ARM_COMPUTE_TEST_UNIT_DYNAMIC_TENSOR
#define ARM_COMPUTE_TEST_UNIT_DYNAMIC_TENSOR
#include "arm_compute/core/TensorShape.h"
#include "arm_compute/core/Types.h"
#include "tests/AssetsLibrary.h"
#include "tests/Globals.h"
#include "tests/IAccessor.h"
#include "tests/framework/Asserts.h"
#include "tests/framework/Fixture.h"
#include "tests/validation/Helpers.h"
#include "tests/validation/reference/NormalizationLayer.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace
{
template <typename AllocatorType,
typename LifetimeMgrType,
typename PoolMgrType,
typename MemoryMgrType>
struct MemoryManagementService
{
public:
MemoryManagementService()
: allocator(), lifetime_mgr(nullptr), pool_mgr(nullptr), mm(nullptr), mg(), num_pools(0)
{
lifetime_mgr = std::make_shared<LifetimeMgrType>();
pool_mgr = std::make_shared<PoolMgrType>();
mm = std::make_shared<MemoryMgrType>(lifetime_mgr, pool_mgr);
mg = MemoryGroup(mm);
}
void populate(size_t pools)
{
mm->populate(allocator, pools);
num_pools = pools;
}
void clear()
{
mm->clear();
num_pools = 0;
}
void validate(bool validate_finalized) const
{
ARM_COMPUTE_EXPECT(mm->pool_manager() != nullptr, framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(mm->lifetime_manager() != nullptr, framework::LogLevel::ERRORS);
if(validate_finalized)
{
ARM_COMPUTE_EXPECT(mm->lifetime_manager()->are_all_finalized(), framework::LogLevel::ERRORS);
}
ARM_COMPUTE_EXPECT(mm->pool_manager()->num_pools() == num_pools, framework::LogLevel::ERRORS);
}
AllocatorType allocator;
std::shared_ptr<LifetimeMgrType> lifetime_mgr;
std::shared_ptr<PoolMgrType> pool_mgr;
std::shared_ptr<MemoryMgrType> mm;
MemoryGroup mg;
size_t num_pools;
};
} // namespace
/** Simple test case to run a single function with different shapes twice.
*
* Runs a specified function twice, where the second time the size of the input/output is different
* Internal memory of the function and input/output are managed by different services
*/
template <typename TensorType,
typename AccessorType,
typename AllocatorType,
typename LifetimeMgrType,
typename PoolMgrType,
typename MemoryManagerType,
typename NormalizationFunctionType>
class DynamicTensorType3SingleFunction : public framework::Fixture
{
using T = float;
using MemoryManagementServiceType = MemoryManagementService<AllocatorType, LifetimeMgrType, PoolMgrType, MemoryManagerType>;
public:
template <typename...>
void setup(TensorShape input_level0, TensorShape input_level1)
{
input_l0 = input_level0;
input_l1 = input_level1;
run();
}
protected:
void run()
{
MemoryManagementServiceType serv_internal;
MemoryManagementServiceType serv_cross;
const size_t num_pools = 1;
const bool validate_finalized = true;
// Create Tensor shapes.
TensorShape level_0 = TensorShape(input_l0);
TensorShape level_1 = TensorShape(input_l1);
// Level 0
// Create tensors
TensorType src = create_tensor<Tensor>(level_0, DataType::F32, 1);
TensorType dst = create_tensor<Tensor>(level_0, DataType::F32, 1);
serv_cross.mg.manage(&src);
serv_cross.mg.manage(&dst);
// Create and configure function
NormalizationFunctionType norm_layer(serv_internal.mm);
norm_layer.configure(&src, &dst, NormalizationLayerInfo(NormType::CROSS_MAP, 3));
ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
// Allocate tensors
src.allocator()->allocate();
dst.allocator()->allocate();
ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
// Populate and validate memory manager
serv_cross.populate(num_pools);
serv_internal.populate(num_pools);
serv_cross.validate(validate_finalized);
serv_internal.validate(validate_finalized);
// Extract lifetime manager meta-data information
internal_l0 = serv_internal.lifetime_mgr->info();
cross_l0 = serv_cross.lifetime_mgr->info();
// Acquire memory manager, fill tensors and compute functions
serv_cross.mg.acquire();
arm_compute::test::library->fill_tensor_value(Accessor(src), 12.f);
norm_layer.run();
serv_cross.mg.release();
// Clear manager
serv_cross.clear();
serv_internal.clear();
serv_cross.validate(validate_finalized);
serv_internal.validate(validate_finalized);
// Level 1
// Update the tensor shapes
src.info()->set_tensor_shape(level_1);
dst.info()->set_tensor_shape(level_1);
src.info()->set_is_resizable(true);
dst.info()->set_is_resizable(true);
serv_cross.mg.manage(&src);
serv_cross.mg.manage(&dst);
// Re-configure the function
norm_layer.configure(&src, &dst, NormalizationLayerInfo(NormType::CROSS_MAP, 3));
// Allocate tensors
src.allocator()->allocate();
dst.allocator()->allocate();
// Populate and validate memory manager
serv_cross.populate(num_pools);
serv_internal.populate(num_pools);
serv_cross.validate(validate_finalized);
serv_internal.validate(validate_finalized);
// Extract lifetime manager meta-data information
internal_l1 = serv_internal.lifetime_mgr->info();
cross_l1 = serv_cross.lifetime_mgr->info();
// Compute functions
serv_cross.mg.acquire();
arm_compute::test::library->fill_tensor_value(AccessorType(src), 12.f);
norm_layer.run();
serv_cross.mg.release();
// Clear manager
serv_cross.clear();
serv_internal.clear();
serv_cross.validate(validate_finalized);
serv_internal.validate(validate_finalized);
}
public:
TensorShape input_l0{}, input_l1{};
typename LifetimeMgrType::info_type internal_l0{}, internal_l1{};
typename LifetimeMgrType::info_type cross_l0{}, cross_l1{};
};
} // namespace validation
} // namespace test
} // namespace arm_compute
#endif /* ARM_COMPUTE_TEST_UNIT_DYNAMIC_TENSOR */
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