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author | Anthony Barbier <anthony.barbier@arm.com> | 2017-08-04 18:20:27 +0100 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:35:24 +0000 |
commit | 2a07e184f7b359d13aa6cacfdc6431f9b191ef0c (patch) | |
tree | 9faddf43b82aa6abd7a65920ca60f21cc7b9032c /src/graph/Tensor.cpp | |
parent | cdf51455df8835e9e3bfd3e31ed389146af9a573 (diff) | |
download | ComputeLibrary-2a07e184f7b359d13aa6cacfdc6431f9b191ef0c.tar.gz |
COMPMID-363 Add Graph library support
Change-Id: Ie841419bf65d0e06bdfe0bdd2d8d4e0bb3631e54
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/87931
Reviewed-by: Pablo Tello <pablo.tello@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Diffstat (limited to 'src/graph/Tensor.cpp')
-rw-r--r-- | src/graph/Tensor.cpp | 151 |
1 files changed, 151 insertions, 0 deletions
diff --git a/src/graph/Tensor.cpp b/src/graph/Tensor.cpp new file mode 100644 index 0000000000..c534ae0296 --- /dev/null +++ b/src/graph/Tensor.cpp @@ -0,0 +1,151 @@ +/* + * Copyright (c) 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/graph/Tensor.h" + +#include "arm_compute/core/Error.h" +#include "arm_compute/core/Helpers.h" +#include "arm_compute/core/Validate.h" +#include "arm_compute/runtime/CL/CLTensor.h" +#include "arm_compute/runtime/Tensor.h" +#include "utils/TypePrinter.h" + +using namespace arm_compute::graph; + +namespace +{ +template <typename TensorType> +std::unique_ptr<ITensor> initialise_tensor(TensorInfo &info) +{ + auto tensor = arm_compute::support::cpp14::make_unique<TensorType>(); + tensor->allocator()->init(info); + return std::move(tensor); +} + +template <typename TensorType> +void tensor_allocate(ITensor &tensor) +{ + auto itensor = dynamic_cast<TensorType *>(&tensor); + ARM_COMPUTE_ERROR_ON_NULLPTR(itensor); + itensor->allocator()->allocate(); +} +} // namespace + +Tensor::Tensor(TensorInfo &&info) + : _target(Hint::DONT_CARE), _info(info), _accessor(nullptr), _tensor(nullptr) +{ +} + +Tensor::Tensor(Tensor &&src) noexcept + : _target(src._target), + _info(std::move(src._info)), + _accessor(std::move(src._accessor)), + _tensor(std::move(src._tensor)) +{ +} + +void Tensor::set_info(TensorInfo &&info) +{ + _info = info; +} + +bool Tensor::call_accessor() +{ + ARM_COMPUTE_ERROR_ON_NULLPTR(_accessor.get()); + auto cl_tensor = dynamic_cast<arm_compute::CLTensor *>(_tensor.get()); + if(cl_tensor != nullptr && cl_tensor->buffer() == nullptr) + { + cl_tensor->map(); + } + bool retval = _accessor->access_tensor(*_tensor); + if(cl_tensor != nullptr) + { + cl_tensor->unmap(); + } + return retval; +} + +ITensor *Tensor::tensor() +{ + return _tensor.get(); +} + +const TensorInfo &Tensor::info() const +{ + return _info; +} + +ITensor *Tensor::set_target(Hint target) +{ + if(_tensor != nullptr) + { + ARM_COMPUTE_ERROR_ON(target != _target); + } + else + { + switch(target) + { + case Hint::OPENCL: + _tensor = initialise_tensor<arm_compute::CLTensor>(_info); + break; + case Hint::NEON: + _tensor = initialise_tensor<arm_compute::Tensor>(_info); + break; + default: + ARM_COMPUTE_ERROR("Invalid Hint"); + } + _target = target; + } + return _tensor.get(); +} + +void Tensor::allocate() +{ + ARM_COMPUTE_ERROR_ON_NULLPTR(_tensor.get()); + switch(_target) + { + case Hint::OPENCL: + tensor_allocate<arm_compute::CLTensor>(*_tensor); + break; + case Hint::NEON: + tensor_allocate<arm_compute::Tensor>(*_tensor); + break; + default: + ARM_COMPUTE_ERROR("Invalid Hint"); + } +} + +void Tensor::allocate_and_fill_if_needed() +{ + allocate(); + if(_accessor != nullptr) + { + call_accessor(); + } +} + +Hint Tensor::target() const +{ + return _target; +} |