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author | Anthony Barbier <anthony.barbier@arm.com> | 2017-09-04 18:44:23 +0100 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-09-17 13:03:09 +0100 |
commit | 6ff3b19ee6120edf015fad8caab2991faa3070af (patch) | |
tree | a7a6dcd16dfd56d79fa1b56a313caeebcc939b68 /src/runtime/TensorAllocator.cpp | |
download | ComputeLibrary-6ff3b19ee6120edf015fad8caab2991faa3070af.tar.gz |
COMPMID-344 Updated doxygen
Change-Id: I32f7b84daa560e460b77216add529c8fa8b327ae
Diffstat (limited to 'src/runtime/TensorAllocator.cpp')
-rw-r--r-- | src/runtime/TensorAllocator.cpp | 119 |
1 files changed, 119 insertions, 0 deletions
diff --git a/src/runtime/TensorAllocator.cpp b/src/runtime/TensorAllocator.cpp new file mode 100644 index 0000000000..5c719c761a --- /dev/null +++ b/src/runtime/TensorAllocator.cpp @@ -0,0 +1,119 @@ +/* + * 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() +{ +} |