diff options
Diffstat (limited to 'src/backends/cl/workloads/ClBatchToSpaceNdWorkload.cpp')
-rw-r--r-- | src/backends/cl/workloads/ClBatchToSpaceNdWorkload.cpp | 64 |
1 files changed, 64 insertions, 0 deletions
diff --git a/src/backends/cl/workloads/ClBatchToSpaceNdWorkload.cpp b/src/backends/cl/workloads/ClBatchToSpaceNdWorkload.cpp new file mode 100644 index 0000000000..a714e031e4 --- /dev/null +++ b/src/backends/cl/workloads/ClBatchToSpaceNdWorkload.cpp @@ -0,0 +1,64 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "ClBatchToSpaceNdWorkload.hpp" + +#include <cl/ClTensorHandle.hpp> +#include <backendsCommon/CpuTensorHandle.hpp> +#include <aclCommon/ArmComputeTensorUtils.hpp> + +#include "ClWorkloadUtils.hpp" + +namespace armnn +{ +using namespace armcomputetensorutils; + +ClBatchToSpaceNdWorkload::ClBatchToSpaceNdWorkload(const BatchToSpaceNdQueueDescriptor& desc, + const WorkloadInfo& info) + : BaseWorkload<BatchToSpaceNdQueueDescriptor>(desc, info) +{ + m_Data.ValidateInputsOutputs("ClBatchToSpaceNdWorkload", 1, 1); + + arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout); + + arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); + input.info()->set_data_layout(aclDataLayout); + + // ArmNN blockShape is [H, W] Cl asks for W, H + int32_t blockHeight = boost::numeric_cast<int32_t>(desc.m_Parameters.m_BlockShape[0]); + int32_t blockWidth = boost::numeric_cast<int32_t>(desc.m_Parameters.m_BlockShape[1]); + + arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); + output.info()->set_data_layout(aclDataLayout); + + m_Layer.configure(&input, blockWidth, blockHeight, &output); +} + +void ClBatchToSpaceNdWorkload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT_CL("ClBatchToSpaceNdWorkload_Execute"); + RunClFunction(m_Layer, CHECK_LOCATION()); +} + +arm_compute::Status ClBatchToSpaceNdWorkloadValidate(const TensorInfo& input, + const TensorInfo& output, + const BatchToSpaceNdDescriptor& desc) { + DataLayout dataLayout = desc.m_DataLayout; + const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, dataLayout); + + // ArmNN blockShape is [H, W] Cl asks for W, H + int32_t blockHeight = boost::numeric_cast<int32_t>(desc.m_BlockShape[0]); + int32_t blockWidth = boost::numeric_cast<int32_t>(desc.m_BlockShape[1]); + + const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, dataLayout); + + const arm_compute::Status aclStatus = arm_compute::CLBatchToSpaceLayer::validate(&aclInputInfo, + blockWidth, + blockHeight, + &aclOutputInfo); + return aclStatus; +} + +} //namespace armnn |