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/*
* Copyright (c) 2021 Samsung Electronics Co., Ltd. All Rights Reserved
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef __ONERT_BACKEND_GPU_CL_MEMORY_MANAGER_H__
#define __ONERT_BACKEND_GPU_CL_MEMORY_MANAGER_H__
#include "operand/CLTensor.h"
#include "ir/OperandIndexMap.h"
#include "ir/OperandInfo.h"
#include "util/logging.h"
#include "tensorflow/lite/delegates/gpu/spi.h"
#include "tensorflow/lite/delegates/gpu/cl/cl_context.h"
#include "tensorflow/lite/delegates/gpu/cl/inference_context.h"
#include "tensorflow/lite/delegates/gpu/cl/tensor_type_util.h"
#include "tensorflow/lite/delegates/gpu/common/status.h"
#include "tensorflow/lite/delegates/gpu/common/task/storage_type_util.h"
#include <cassert>
namespace onert
{
namespace backend
{
namespace gpu_cl
{
class MemoryManager
{
public:
MemoryManager(tflite::gpu::cl::CLContext *context, tflite::gpu::CreateGpuModelInfo create_info,
const std::shared_ptr<tflite::gpu::cl::Environment> &environment)
: _context{context}, _create_info{create_info}, _environment{environment}
{
}
~MemoryManager() = default;
void allocate(void)
{
std::unique_ptr<tflite::gpu::TensorObjectConverterBuilder> converter_builder =
NewConverterBuilder(_environment.get());
for (const auto &tensor_entry : _tensors)
{
auto tensor = tensor_entry.second;
auto type = tensor->get_type();
if (type == TensorType::TENSOR_TYPE_DELETE)
{
continue;
}
const auto &shape = tensor->get_info()._shape;
const auto &descriptor = tensor->get_info()._desc;
if (!CreateTensor(*_context, shape, descriptor, tensor->handle()).ok())
{
std::runtime_error("Failed to CreateTensor");
}
switch (type)
{
case TensorType::TENSOR_TYPE_INPUT:
tensor->writeConvertInit(converter_builder.get(), _environment);
break;
case TensorType::TENSOR_TYPE_OUTPUT:
tensor->readConvertInit(converter_builder.get(), _environment);
break;
default:
break;
}
}
}
void deallocate(void)
{
// NYI
}
void startLifetime(const ir::OperandIndex &)
{ /* DO NOTHING */
}
void finishLifetime(const ir::OperandIndex &)
{ /* DO NOTHING */
}
void buildTensor(const ir::OperandIndex &ind, const ir::OperandInfo &info, TensorType type)
{
auto data_type = DeduceDataTypeFromPrecision(_create_info.precision);
tflite::gpu::BHWC BHWC_shape = ToBHWC(info.shape());
tflite::gpu::TensorStorageType storage_type = _create_info.storage_type;
tflite::gpu::Layout layout =
BHWC_shape.b == 1 ? tflite::gpu::Layout::HWC : tflite::gpu::Layout::BHWC;
if (!SelectBestStorageType(_environment->device().GetInfo(), BHWC_shape, storage_type,
data_type, layout, &storage_type)
.ok())
{
throw std::runtime_error("Failed to SelectBestStorageType");
}
auto tensor = std::make_shared<operand::CLTensor>(
info.shape().rank(), type, BHWC_shape,
tflite::gpu::TensorDescriptor{data_type, storage_type, layout});
_tensors[ind] = tensor;
}
ir::OperandIndex addTensor(const ir::Shape &shape)
{
auto data_type = DeduceDataTypeFromPrecision(_create_info.precision);
tflite::gpu::BHWC BHWC_shape = ToBHWC(shape);
tflite::gpu::TensorStorageType storage_type = _create_info.storage_type;
tflite::gpu::Layout layout =
BHWC_shape.b == 1 ? tflite::gpu::Layout::HWC : tflite::gpu::Layout::BHWC;
if (!SelectBestStorageType(_environment->device().GetInfo(), BHWC_shape, storage_type,
data_type, layout, &storage_type)
.ok())
{
throw std::runtime_error("Failed to SelectBestStorageType");
}
auto ind = ir::OperandIndex(_new_id--);
auto tensor = std::make_shared<operand::CLTensor>(
shape.rank(), TensorType::TENSOR_TYPE_VALID, BHWC_shape,
tflite::gpu::TensorDescriptor{data_type, storage_type, layout});
_tensors[ind] = tensor;
return ind;
}
ir::OperandIndexMap<std::shared_ptr<operand::CLTensor>> &tensors(void) { return _tensors; }
private:
ir::OperandIndexMap<std::shared_ptr<operand::CLTensor>> _tensors;
tflite::gpu::cl::CLContext *_context;
tflite::gpu::CreateGpuModelInfo _create_info;
std::shared_ptr<tflite::gpu::cl::Environment> _environment;
uint32_t _new_id = UINT32_MAX;
};
} // namespace gpu_cl
} // namespace backend
} // namespace onert
#endif // __ONERT_BACKEND_GPU_CL_MEMORY_MANAGER_H__
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