/*
 * Copyright (c) 2016-2018 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.
 */
#include "arm_compute/runtime/TensorAllocator.h"

#include "arm_compute/core/Coordinates.h"
#include "arm_compute/core/Error.h"
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/runtime/MemoryGroup.h"
#include "arm_compute/runtime/MemoryRegion.h"
#include "support/ToolchainSupport.h"

#include <cstddef>

using namespace arm_compute;

namespace
{
bool validate_subtensor_shape(const TensorInfo &parent_info, const TensorInfo &child_info, const Coordinates &coords)
{
 bool is_valid = true;
 const TensorShape &parent_shape = parent_info.tensor_shape();
 const TensorShape &child_shape = child_info.tensor_shape();
 const size_t parent_dims = parent_info.num_dimensions();
 const size_t child_dims = child_info.num_dimensions();

 if(child_dims <= parent_dims)
 {
 for(size_t num_dimensions = child_dims; num_dimensions > 0; --num_dimensions)
 {
 const size_t child_dim_size = coords[num_dimensions - 1] + child_shape[num_dimensions - 1];

 if((coords[num_dimensions - 1] < 0) || (child_dim_size > parent_shape[num_dimensions - 1]))
 {
 is_valid = false;
 break;
 }
 }
 }
 else
 {
 is_valid = false;
 }

 return is_valid;
}
} // namespace

TensorAllocator::TensorAllocator(Tensor *owner)
 : _associated_memory_group(nullptr), _memory(), _owner(owner)
{
}

TensorAllocator::~TensorAllocator()
{
 info().set_is_resizable(true);
}

TensorAllocator::TensorAllocator(TensorAllocator &&o) noexcept
 : ITensorAllocator(std::move(o)),
 _associated_memory_group(o._associated_memory_group),
 _memory(std::move(o._memory)),
 _owner(o._owner)
{
 o._associated_memory_group = nullptr;
 o._memory = Memory();
 o._owner = nullptr;
}

TensorAllocator &TensorAllocator::operator=(TensorAllocator &&o) noexcept
{
 if(&o != this)
 {
 _associated_memory_group = o._associated_memory_group;
 o._associated_memory_group = nullptr;

 _memory = std::move(o._memory);
 o._memory = Memory();

 _owner = o._owner;
 o._owner = nullptr;

 ITensorAllocator::operator=(std::move(o));
 }
 return *this;
}

void TensorAllocator::init(const TensorAllocator &allocator, const Coordinates &coords, TensorInfo sub_info)
{
 // Get parent info
 const TensorInfo parent_info = allocator.info();

 // Check if coordinates and new shape are within the parent tensor
 ARM_COMPUTE_ERROR_ON(!validate_subtensor_shape(parent_info, sub_info, coords));
 ARM_COMPUTE_UNUSED(validate_subtensor_shape);

 // Copy pointer to buffer
 _memory = Memory(allocator._memory.region());

 // Init tensor info with new dimensions
 size_t total_size = parent_info.offset_element_in_bytes(coords) + sub_info.total_size() - sub_info.offset_first_element_in_bytes();
 sub_info.init(sub_info.tensor_shape(), sub_info.format(), parent_info.strides_in_bytes(), parent_info.offset_element_in_bytes(coords), total_size);

 // Set TensorInfo
 init(sub_info);
}

uint8_t *TensorAllocator::data() const
{
 ARM_COMPUTE_ERROR_ON(_memory.region() == nullptr);
 return reinterpret_cast<uint8_t *>(_memory.region()->buffer());
}

void TensorAllocator::allocate()
{
 ARM_COMPUTE_ERROR_ON(_memory.region() == nullptr);
 ARM_COMPUTE_ERROR_ON(_memory.region()->buffer() != nullptr);

 if(_associated_memory_group == nullptr)
 {
 _memory = Memory(std::make_shared<MemoryRegion>(info().total_size()));
 }
 else
 {
 _associated_memory_group->finalize_memory(_owner, reinterpret_cast<void **>(_memory.region()->handle()), info().total_size());
 _memory.region()->set_size(info().total_size());
 }
 info().set_is_resizable(false);
}

void TensorAllocator::free()
{
 _memory = Memory();
 info().set_is_resizable(true);
}

arm_compute::Status TensorAllocator::import_memory(Memory memory)
{
 ARM_COMPUTE_ERROR_ON(_memory.region() == nullptr);
 ARM_COMPUTE_RETURN_ERROR_ON(memory.region()->buffer() == nullptr);
 ARM_COMPUTE_RETURN_ERROR_ON(_associated_memory_group != nullptr);
 _memory = memory;
 info().set_is_resizable(false);

 return Status{};
}

void TensorAllocator::set_associated_memory_group(MemoryGroup *associated_memory_group)
{
 ARM_COMPUTE_ERROR_ON(_memory.region() == nullptr);
 ARM_COMPUTE_ERROR_ON(associated_memory_group == nullptr);
 ARM_COMPUTE_ERROR_ON(_associated_memory_group != nullptr);
 ARM_COMPUTE_ERROR_ON(_memory.region()->buffer() != nullptr);
 _associated_memory_group = associated_memory_group;
}

uint8_t *TensorAllocator::lock()
{
 ARM_COMPUTE_ERROR_ON(_memory.region() == nullptr);
 return reinterpret_cast<uint8_t *>(_memory.region()->buffer());
}

void TensorAllocator::unlock()
{
}