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authorkevmay01 <kevin.may@arm.com>2019-01-28 08:37:25 +0000
committerKevin May <kevin.may@arm.com>2019-01-29 08:28:32 +0000
commiteed85925f893256f8e813423de0f3c5fc79179ae (patch)
tree69d7421e542c13266e17985165760b9d831095be /src/backends/neon/workloads
parentcd7544e4ea0dc9fdee80447688bf4b8d64cc2ec8 (diff)
downloadarmnn-eed85925f893256f8e813423de0f3c5fc79179ae.tar.gz
IVGCVSW-2447 Add Greater Workload to Neon
Change-Id: Ic165061cc61534e7e391a398ea7c2918240e2d3b
Diffstat (limited to 'src/backends/neon/workloads')
-rw-r--r--src/backends/neon/workloads/CMakeLists.txt2
-rw-r--r--src/backends/neon/workloads/NeonGreaterWorkload.cpp49
-rw-r--r--src/backends/neon/workloads/NeonGreaterWorkload.hpp36
-rw-r--r--src/backends/neon/workloads/NeonWorkloads.hpp1
4 files changed, 88 insertions, 0 deletions
diff --git a/src/backends/neon/workloads/CMakeLists.txt b/src/backends/neon/workloads/CMakeLists.txt
index 1a1ed74840..31b0866e23 100644
--- a/src/backends/neon/workloads/CMakeLists.txt
+++ b/src/backends/neon/workloads/CMakeLists.txt
@@ -24,6 +24,8 @@ list(APPEND armnnNeonBackendWorkloads_sources
NeonFloorFloatWorkload.hpp
NeonFullyConnectedWorkload.cpp
NeonFullyConnectedWorkload.hpp
+ NeonGreaterWorkload.cpp
+ NeonGreaterWorkload.hpp
NeonL2NormalizationFloatWorkload.cpp
NeonL2NormalizationFloatWorkload.hpp
NeonLstmFloatWorkload.cpp
diff --git a/src/backends/neon/workloads/NeonGreaterWorkload.cpp b/src/backends/neon/workloads/NeonGreaterWorkload.cpp
new file mode 100644
index 0000000000..ece52d6465
--- /dev/null
+++ b/src/backends/neon/workloads/NeonGreaterWorkload.cpp
@@ -0,0 +1,49 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "NeonGreaterWorkload.hpp"
+#include <aclCommon/ArmComputeTensorUtils.hpp>
+#include <backendsCommon/CpuTensorHandle.hpp>
+
+namespace armnn
+{
+
+arm_compute::Status NeonGreaterWorkloadValidate(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::NEGreater::validate(&aclInput0,
+ &aclInput1,
+ &aclOutput);
+}
+
+template <DataType T>
+NeonGreaterWorkload<T>::NeonGreaterWorkload(const GreaterQueueDescriptor& descriptor, const WorkloadInfo& info)
+ : MultiTypedWorkload<GreaterQueueDescriptor, T, DataType::Boolean>(descriptor, info)
+{
+ m_Data.ValidateInputsOutputs("NeonGreaterWorkload", 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_GreaterLayer.configure(&input0, &input1, &output);
+}
+
+template <DataType T>
+void NeonGreaterWorkload<T>::Execute() const
+{
+ ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonGreaterWorkload_Execute");
+ m_GreaterLayer.run();
+}
+
+template class NeonGreaterWorkload<DataType::Float32>;
+template class NeonGreaterWorkload<DataType::QuantisedAsymm8>;
+
+} //namespace armnn \ No newline at end of file
diff --git a/src/backends/neon/workloads/NeonGreaterWorkload.hpp b/src/backends/neon/workloads/NeonGreaterWorkload.hpp
new file mode 100644
index 0000000000..df1e07e07b
--- /dev/null
+++ b/src/backends/neon/workloads/NeonGreaterWorkload.hpp
@@ -0,0 +1,36 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include <neon/workloads/NeonWorkloadUtils.hpp>
+
+#include <arm_compute/runtime/NEON/functions/NEElementwiseOperations.h>
+
+namespace armnn
+{
+
+arm_compute::Status NeonGreaterWorkloadValidate(const TensorInfo& input0,
+ const TensorInfo& input1,
+ const TensorInfo& output);
+
+template <DataType T>
+class NeonGreaterWorkload : public MultiTypedWorkload<GreaterQueueDescriptor, T, DataType::Boolean>
+{
+public:
+ using MultiTypedWorkload<GreaterQueueDescriptor, T, DataType::Boolean>::m_Data;
+
+ NeonGreaterWorkload(const GreaterQueueDescriptor& descriptor, const WorkloadInfo& info);
+
+ virtual void Execute() const override;
+
+private:
+ mutable arm_compute::NEGreater m_GreaterLayer;
+};
+
+using NeonGreaterFloat32Workload = NeonGreaterWorkload<DataType::Float32>;
+using NeonGreaterUint8Workload = NeonGreaterWorkload<DataType::QuantisedAsymm8>;
+
+} //namespace armnn \ No newline at end of file
diff --git a/src/backends/neon/workloads/NeonWorkloads.hpp b/src/backends/neon/workloads/NeonWorkloads.hpp
index e4f4fcfc53..af85eb2f50 100644
--- a/src/backends/neon/workloads/NeonWorkloads.hpp
+++ b/src/backends/neon/workloads/NeonWorkloads.hpp
@@ -14,6 +14,7 @@
#include "NeonDepthwiseConvolutionWorkload.hpp"
#include "NeonFloorFloatWorkload.hpp"
#include "NeonFullyConnectedWorkload.hpp"
+#include "NeonGreaterWorkload.hpp"
#include "NeonL2NormalizationFloatWorkload.hpp"
#include "NeonLstmFloatWorkload.hpp"
#include "NeonMaximumWorkload.hpp"