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author | Conor Kennedy <conor.kennedy@arm.com> | 2019-01-09 07:57:38 +0000 |
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committer | Matteo Martincigh <matteo.martincigh@arm.com> | 2019-01-09 11:50:23 +0000 |
commit | 54b2169989fa9916565fb8a2edf717c6c93923d9 (patch) | |
tree | 81c6940cd33ac268a8ff6ed29532fa102d7c9fc4 /src/backends/neon/workloads/NeonMinimumWorkload.cpp | |
parent | d80a7126b0abdd532a9f731559827a23f2e565e0 (diff) | |
download | armnn-54b2169989fa9916565fb8a2edf717c6c93923d9.tar.gz |
IVGCVSW-2441 Add Minimum operator support (NEON)
Change-Id: I0bc48f118aba419abb659657b83224401fac0715
Diffstat (limited to 'src/backends/neon/workloads/NeonMinimumWorkload.cpp')
-rw-r--r-- | src/backends/neon/workloads/NeonMinimumWorkload.cpp | 45 |
1 files changed, 45 insertions, 0 deletions
diff --git a/src/backends/neon/workloads/NeonMinimumWorkload.cpp b/src/backends/neon/workloads/NeonMinimumWorkload.cpp new file mode 100644 index 0000000000..9b97bf5863 --- /dev/null +++ b/src/backends/neon/workloads/NeonMinimumWorkload.cpp @@ -0,0 +1,45 @@ +// +// Copyright © 2017 Arm Ltd. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#include "NeonMinimumWorkload.hpp" +#include <aclCommon/ArmComputeTensorUtils.hpp> +#include <backendsCommon/CpuTensorHandle.hpp> + +namespace armnn +{ + +arm_compute::Status NeonMinimumWorkloadValidate(const TensorInfo& input0, + const TensorInfo& input1, + const TensorInfo& output) +{ + const arm_compute::TensorInfo aclInput0 = armcomputetensorutils::BuildArmComputeTensorInfo(input0); + const arm_compute::TensorInfo aclInput1 = armcomputetensorutils::BuildArmComputeTensorInfo(input1); + const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output); + + return arm_compute::NEElementwiseMin::validate(&aclInput0, + &aclInput1, + &aclOutput); +} + +NeonMinimumWorkload::NeonMinimumWorkload(const MinimumQueueDescriptor& descriptor, + const WorkloadInfo& info) + : BaseWorkload<MinimumQueueDescriptor>(descriptor, info) +{ + m_Data.ValidateInputsOutputs("NeonMinimumWorkload", 2, 1); + + arm_compute::ITensor& input0 = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Inputs[0])->GetTensor(); + arm_compute::ITensor& input1 = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Inputs[1])->GetTensor(); + arm_compute::ITensor& output = boost::polymorphic_downcast<INeonTensorHandle*>(m_Data.m_Outputs[0])->GetTensor(); + + m_MinLayer.configure(&input0, &input1, &output); +} + +void NeonMinimumWorkload::Execute() const +{ + ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonMinimumWorkload_Execute"); + m_MinLayer.run(); +} + +} //namespace armnn |