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author | James Conroy <james.conroy@arm.com> | 2019-07-01 17:12:40 +0100 |
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committer | James Conroy <james.conroy@arm.com> | 2019-07-05 17:02:24 +0100 |
commit | d2aa85ee2a0f574bcba50a376721f15c7e99308d (patch) | |
tree | eda7d2e9ad07cd6b90d2fbe0780d0335bbebec98 /src/backends/cl/workloads/ClSpaceToDepthWorkload.cpp | |
parent | f356905c37c9301a7680490afdf6774100c99ea1 (diff) | |
download | armnn-d2aa85ee2a0f574bcba50a376721f15c7e99308d.tar.gz |
IVGCVSW-3353 Add CL support and tests for SpaceToDepth
* Added CL backend support for SpaceToDepth.
* Enabled unit tests for SpaceToDepth on CL.
* Renamed unit tests to make them type-agnostic.
* Added QSymm16/S16 support to ClTensorHandle.
Signed-off-by: James Conroy <james.conroy@arm.com>
Change-Id: I417d82946142ed619c447428bf0b0c4a2116c004
Diffstat (limited to 'src/backends/cl/workloads/ClSpaceToDepthWorkload.cpp')
-rw-r--r-- | src/backends/cl/workloads/ClSpaceToDepthWorkload.cpp | 61 |
1 files changed, 61 insertions, 0 deletions
diff --git a/src/backends/cl/workloads/ClSpaceToDepthWorkload.cpp b/src/backends/cl/workloads/ClSpaceToDepthWorkload.cpp new file mode 100644 index 0000000000..d541e4ec52 --- /dev/null +++ b/src/backends/cl/workloads/ClSpaceToDepthWorkload.cpp @@ -0,0 +1,61 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "ClSpaceToDepthWorkload.hpp" +#include "ClWorkloadUtils.hpp" + +#include <aclCommon/ArmComputeUtils.hpp> +#include <aclCommon/ArmComputeTensorUtils.hpp> +#include <backendsCommon/CpuTensorHandle.hpp> +#include <cl/ClTensorHandle.hpp> +#include <boost/polymorphic_pointer_cast.hpp> + +namespace armnn +{ +using namespace armcomputetensorutils; + +ClSpaceToDepthWorkload::ClSpaceToDepthWorkload(const SpaceToDepthQueueDescriptor& desc, + const WorkloadInfo& info) + : BaseWorkload<SpaceToDepthQueueDescriptor>(desc, info) +{ + m_Data.ValidateInputsOutputs("ClSpaceToDepthWorkload", 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); + + int32_t blockSize = boost::numeric_cast<int32_t>(desc.m_Parameters.m_BlockSize); + + arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); + output.info()->set_data_layout(aclDataLayout); + + m_Layer.configure(&input, &output, blockSize); +} + +void ClSpaceToDepthWorkload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT_CL("ClSpaceToDepthWorkload_Execute"); + RunClFunction(m_Layer, CHECK_LOCATION()); +} + +arm_compute::Status ClSpaceToDepthWorkloadValidate(const TensorInfo& input, + const TensorInfo& output, + const SpaceToDepthDescriptor& desc) +{ + DataLayout dataLayout = desc.m_DataLayout; + const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, dataLayout); + + int32_t blockSize = boost::numeric_cast<int32_t>(desc.m_BlockSize); + + const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, dataLayout); + + const arm_compute::Status aclStatus = arm_compute::CLSpaceToDepthLayer::validate(&aclInputInfo, + &aclOutputInfo, + blockSize); + return aclStatus; +} + +} //namespace armnn |