#include "workloads/ClFullyConnectedWorkload.hpp"
#include "workloads/ClL2NormalizationFloatWorkload.hpp"
#include "workloads/ClLstmFloatWorkload.hpp"
+#include "workloads/ClMaximumWorkload.hpp"
#include "workloads/ClMeanWorkload.hpp"
#include "workloads/ClMergerWorkload.hpp"
#include "workloads/ClMultiplicationWorkload.hpp"
cellToOutputWeights);
}
+bool ClLayerSupport::IsMaximumSupported(const TensorInfo& input0,
+ const TensorInfo& input1,
+ const TensorInfo& output,
+ Optional<std::string&> reasonIfUnsupported) const
+{
+ FORWARD_WORKLOAD_VALIDATE_FUNC(ClMaximumWorkloadValidate,
+ reasonIfUnsupported,
+ input0,
+ input1,
+ output);
+}
+
bool ClLayerSupport::IsMeanSupported(const TensorInfo& input,
const TensorInfo& output,
const MeanDescriptor& descriptor,
const TensorInfo* cellToOutputWeights,
Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+ bool IsMaximumSupported(const TensorInfo& input0,
+ const TensorInfo& input1,
+ const TensorInfo& output,
+ Optional<std::string&> reasonIfUnsupported = EmptyOptional()) const override;
+
bool IsMeanSupported(const TensorInfo& input,
const TensorInfo& output,
const MeanDescriptor& descriptor,
std::unique_ptr<IWorkload> ClWorkloadFactory::CreateMaximum(const MaximumQueueDescriptor& descriptor,
const WorkloadInfo& info) const
{
- return MakeWorkload<NullWorkload, NullWorkload>(descriptor, info);
+ return MakeWorkload<ClMaximumWorkload>(descriptor, info);
}
std::unique_ptr<IWorkload> ClWorkloadFactory::CreateMean(const MeanQueueDescriptor& descriptor,
workloads/ClFullyConnectedWorkload.cpp \
workloads/ClL2NormalizationFloatWorkload.cpp \
workloads/ClLstmFloatWorkload.cpp \
+ workloads/ClMaximumWorkload.cpp \
workloads/ClMeanWorkload.cpp \
workloads/ClMergerWorkload.cpp \
workloads/ClMultiplicationWorkload.cpp \
ARMNN_AUTO_TEST_CASE(AdditionAfterMaxPool, AdditionAfterMaxPoolTest)
+//Max
+ARMNN_AUTO_TEST_CASE(MaximumSimple, MaximumSimpleTest)
+ARMNN_AUTO_TEST_CASE(MaximumBroadcast1Element, MaximumBroadcast1ElementTest)
+ARMNN_AUTO_TEST_CASE(MaximumBroadcast1DVector, MaximumBroadcast1DVectorTest)
+ARMNN_AUTO_TEST_CASE(MaximumUint8, MaximumUint8Test)
+ARMNN_AUTO_TEST_CASE(MaximumBroadcast1ElementUint8, MaximumBroadcast1ElementUint8Test)
+ARMNN_AUTO_TEST_CASE(MaximumBroadcast1DVectorUint8, MaximumBroadcast1DVectorUint8Test)
+
// Mean
ARMNN_AUTO_TEST_CASE(MeanUint8Simple, MeanUint8SimpleTest)
ARMNN_AUTO_TEST_CASE(MeanUint8SimpleAxis, MeanUint8SimpleAxisTest)
ClL2NormalizationFloatWorkload.hpp
ClLstmFloatWorkload.cpp
ClLstmFloatWorkload.hpp
+ ClMaximumWorkload.cpp
+ ClMaximumWorkload.hpp
ClMeanWorkload.cpp
ClMeanWorkload.hpp
ClMergerWorkload.cpp
--- /dev/null
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ClMaximumWorkload.hpp"
+
+#include "ClWorkloadUtils.hpp"
+
+#include <aclCommon/ArmComputeUtils.hpp>
+#include <aclCommon/ArmComputeTensorUtils.hpp>
+
+#include <backendsCommon/CpuTensorHandle.hpp>
+
+#include <cl/ClLayerSupport.hpp>
+#include <cl/ClTensorHandle.hpp>
+#include <cl/ClLayerSupport.hpp>
+
+namespace armnn
+{
+
+using namespace armcomputetensorutils;
+
+arm_compute::Status ClMaximumWorkloadValidate(const TensorInfo& input0,
+ const TensorInfo& input1,
+ const TensorInfo& output)
+{
+ 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::CLElementwiseMax::validate(&aclInput0Info,
+ &aclInput1Info,
+ &aclOutputInfo);
+
+ return aclStatus;
+}
+
+ClMaximumWorkload::ClMaximumWorkload(const MaximumQueueDescriptor& descriptor,
+ const WorkloadInfo& info)
+ : BaseWorkload<MaximumQueueDescriptor>(descriptor, info)
+{
+ m_Data.ValidateInputsOutputs("ClMaximumWorkload", 2, 1);
+
+ arm_compute::ICLTensor& input0 = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
+ arm_compute::ICLTensor& input1 = static_cast<IClTensorHandle*>(m_Data.m_Inputs[1])->GetTensor();
+ arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
+
+ m_MaximumLayer.configure(&input0, &input1, &output);
+}
+
+void ClMaximumWorkload::Execute() const
+{
+ ARMNN_SCOPED_PROFILING_EVENT_CL("ClMaximumWorkload_Execute");
+ RunClFunction(m_MaximumLayer, CHECK_LOCATION());
+}
+
+} //namespace armnn
--- /dev/null
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include <backendsCommon/Workload.hpp>
+
+#include <arm_compute/runtime/CL/CLFunctions.h>
+
+namespace armnn
+{
+
+arm_compute::Status ClMaximumWorkloadValidate(const TensorInfo& input0,
+ const TensorInfo& input1,
+ const TensorInfo& output);
+
+class ClMaximumWorkload : public BaseWorkload<MaximumQueueDescriptor>
+{
+public:
+ ClMaximumWorkload(const MaximumQueueDescriptor& descriptor, const WorkloadInfo& info);
+ void Execute() const override;
+
+private:
+ mutable arm_compute::CLElementwiseMax m_MaximumLayer;
+};
+
+} //namespace armnn
\ No newline at end of file
#include "ClL2NormalizationFloatWorkload.hpp"
#include "ClLstmFloatWorkload.hpp"
#include "ClMergerWorkload.hpp"
+#include "ClMaximumWorkload.hpp"
#include "ClMeanWorkload.hpp"
#include "ClMultiplicationWorkload.hpp"
#include "ClNormalizationFloatWorkload.hpp"