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/*
* Copyright (c) 2016, 2017 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 <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()
: _buffer(nullptr)
{
}
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
_buffer = allocator._buffer;
// 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
{
return (_buffer != nullptr) ? _buffer.get()->data() : nullptr;
}
void TensorAllocator::allocate()
{
ARM_COMPUTE_ERROR_ON(_buffer != nullptr);
_buffer = std::make_shared<std::vector<uint8_t>>(info().total_size());
info().set_is_resizable(false);
}
void TensorAllocator::free()
{
ARM_COMPUTE_ERROR_ON(_buffer == nullptr);
_buffer.reset();
info().set_is_resizable(true);
}
uint8_t *TensorAllocator::lock()
{
return (_buffer != nullptr) ? _buffer.get()->data() : nullptr;
}
void TensorAllocator::unlock()
{
}
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