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author | Matthew Jackson <matthew.jackson@arm.com> | 2019-07-31 14:06:28 +0100 |
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committer | Matteo Martincigh <matteo.martincigh@arm.com> | 2019-08-01 09:42:03 +0000 |
commit | d5166106ebfc11b1db832a708892e12edeaf997e (patch) | |
tree | 8f4be789711ed50b0bddf50a813caf4b823a59e9 /src/backends/cl/workloads/ClStackWorkload.cpp | |
parent | 2208b604dea6919525a12779df9aa5e49ea6a539 (diff) | |
download | armnn-d5166106ebfc11b1db832a708892e12edeaf997e.tar.gz |
IVGCVSW-3539 Add CL support and tests for Stack
* Added CL backend support for Stack
* Added unit tests for Stack on the CL backend
* Refactored unit tests to support generic data types
Signed-off-by: Matthew Jackson <matthew.jackson@arm.com>
Change-Id: I38ee3e9d8947ea98a3104c982698001e704d7d89
Diffstat (limited to 'src/backends/cl/workloads/ClStackWorkload.cpp')
-rw-r--r-- | src/backends/cl/workloads/ClStackWorkload.cpp | 74 |
1 files changed, 74 insertions, 0 deletions
diff --git a/src/backends/cl/workloads/ClStackWorkload.cpp b/src/backends/cl/workloads/ClStackWorkload.cpp new file mode 100644 index 0000000000..3ba698ec4d --- /dev/null +++ b/src/backends/cl/workloads/ClStackWorkload.cpp @@ -0,0 +1,74 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// +#include "ClStackWorkload.hpp" +#include "ClWorkloadUtils.hpp" +#include <aclCommon/ArmComputeTensorUtils.hpp> +#include <backendsCommon/CpuTensorHandle.hpp> +#include <cl/ClTensorHandle.hpp> +#include <cl/ClLayerSupport.hpp> + +#include <arm_compute/core/Types.h> + +#include <boost/numeric/conversion/cast.hpp> +#include <boost/polymorphic_pointer_cast.hpp> + +namespace armnn +{ +using namespace armcomputetensorutils; + +namespace +{ +int CalcAxis(const unsigned int axis, const unsigned int inputDimensions) +{ + const int intAxis = boost::numeric_cast<int>(axis); + return boost::numeric_cast<int>(inputDimensions) - intAxis; +} +} //namespace + +arm_compute::Status ClStackWorkloadValidate(const std::vector<const TensorInfo*>& inputs, + const TensorInfo& output, + const StackDescriptor& descriptor) +{ + std::vector<arm_compute::ITensorInfo*> aclInputPtrs; + arm_compute::TensorInfo aclInputInfo; + for (const TensorInfo* input : inputs) + { + aclInputInfo = BuildArmComputeTensorInfo(*input); + aclInputPtrs.emplace_back(&aclInputInfo); + } + const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output); + + int aclAxis = CalcAxis(descriptor.m_Axis, descriptor.m_InputShape.GetNumDimensions()); + + return arm_compute::CLStackLayer::validate(aclInputPtrs, aclAxis, &aclOutputInfo); +} + +ClStackWorkload::ClStackWorkload(const StackQueueDescriptor& descriptor, const WorkloadInfo& info) +: BaseWorkload<StackQueueDescriptor>(descriptor, info) +{ + std::vector<arm_compute::ICLTensor*> aclInputs; + for (auto input : m_Data.m_Inputs) + { + arm_compute::ICLTensor& aclInput = boost::polymorphic_pointer_downcast<IClTensorHandle>(input)->GetTensor(); + aclInputs.emplace_back(&aclInput); + } + arm_compute::ICLTensor& output = boost::polymorphic_pointer_downcast<IClTensorHandle>( + m_Data.m_Outputs[0])->GetTensor(); + + m_Layer.reset(new arm_compute::CLStackLayer()); + int aclAxis = CalcAxis(descriptor.m_Parameters.m_Axis, descriptor.m_Parameters.m_InputShape.GetNumDimensions()); + m_Layer->configure(aclInputs, aclAxis, &output); +} + +void ClStackWorkload::Execute() const +{ + if (m_Layer) + { + ARMNN_SCOPED_PROFILING_EVENT_CL("ClStackWorkload_Execute"); + m_Layer->run(); + } +} + +} //namespace armnn
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