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author | David Beck <david.beck@arm.com> | 2018-09-11 15:21:14 +0100 |
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committer | Matthew Bentham <matthew.bentham@arm.com> | 2018-10-01 14:56:47 +0100 |
commit | 0a710c4c44be908a93a318e1fbd5c3535e849293 (patch) | |
tree | 3b0f3f1abaa46e404303a5d0b36f14c2af090503 /src/armnn/backends/ClWorkloads/ClAdditionBaseWorkload.cpp | |
parent | 1952622c4b9f2cecdc93dedf2d6a9a8a94eac312 (diff) | |
download | armnn-0a710c4c44be908a93a318e1fbd5c3535e849293.tar.gz |
IVGCVSW-1843 : refactor ClAdditionWorkload and ClSubtractionWorkload
Change-Id: I0ca9f16217f8e32bb57a49b841611f10dabf021a
Diffstat (limited to 'src/armnn/backends/ClWorkloads/ClAdditionBaseWorkload.cpp')
-rw-r--r-- | src/armnn/backends/ClWorkloads/ClAdditionBaseWorkload.cpp | 64 |
1 files changed, 0 insertions, 64 deletions
diff --git a/src/armnn/backends/ClWorkloads/ClAdditionBaseWorkload.cpp b/src/armnn/backends/ClWorkloads/ClAdditionBaseWorkload.cpp deleted file mode 100644 index eb14aa3891..0000000000 --- a/src/armnn/backends/ClWorkloads/ClAdditionBaseWorkload.cpp +++ /dev/null @@ -1,64 +0,0 @@ -// -// Copyright © 2017 Arm Ltd. All rights reserved. -// SPDX-License-Identifier: MIT -// - -#include "ClAdditionBaseWorkload.hpp" - -#include "backends/ClTensorHandle.hpp" -#include "backends/CpuTensorHandle.hpp" -#include "backends/ArmComputeTensorUtils.hpp" - -namespace armnn -{ -using namespace armcomputetensorutils; - -static constexpr arm_compute::ConvertPolicy g_AclConvertPolicy = arm_compute::ConvertPolicy::SATURATE; - -template <armnn::DataType... T> -ClAdditionBaseWorkload<T...>::ClAdditionBaseWorkload(const AdditionQueueDescriptor& descriptor, - const WorkloadInfo& info) - : TypedWorkload<AdditionQueueDescriptor, T...>(descriptor, info) -{ - this->m_Data.ValidateInputsOutputs("ClAdditionBaseWorkload", 2, 1); - - arm_compute::ICLTensor& input0 = static_cast<IClTensorHandle*>(this->m_Data.m_Inputs[0])->GetTensor(); - arm_compute::ICLTensor& input1 = static_cast<IClTensorHandle*>(this->m_Data.m_Inputs[1])->GetTensor(); - arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(this->m_Data.m_Outputs[0])->GetTensor(); - m_Layer.configure(&input0, &input1, &output, g_AclConvertPolicy); -} - -template <armnn::DataType... T> -void ClAdditionBaseWorkload<T...>::Execute() const -{ - ARMNN_SCOPED_PROFILING_EVENT_CL("ClAdditionBaseWorkload_Execute"); - m_Layer.run(); -} - -bool ClAdditionValidate(const TensorInfo& input0, - const TensorInfo& input1, - const TensorInfo& output, - std::string* reasonIfUnsupported) -{ - const arm_compute::TensorInfo aclInput0Info = BuildArmComputeTensorInfo(input0); - const arm_compute::TensorInfo aclInput1Info = BuildArmComputeTensorInfo(input1); - const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output); - - const arm_compute::Status aclStatus = arm_compute::CLArithmeticAddition::validate(&aclInput0Info, - &aclInput1Info, - &aclOutputInfo, - g_AclConvertPolicy); - - const bool supported = (aclStatus.error_code() == arm_compute::ErrorCode::OK); - if (!supported && reasonIfUnsupported) - { - *reasonIfUnsupported = aclStatus.error_description(); - } - - return supported; -} - -} //namespace armnn - -template class armnn::ClAdditionBaseWorkload<armnn::DataType::Float16, armnn::DataType::Float32>; -template class armnn::ClAdditionBaseWorkload<armnn::DataType::QuantisedAsymm8>; |