IVGCVSW-3890 Add NEON INSTANCE_NORMALIZATION Workload
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
Change-Id: Ia3e55da6e6a7b9d46544466897e3b1635c90c297
diff --git a/src/backends/neon/workloads/NeonInstanceNormalizationWorkload.cpp b/src/backends/neon/workloads/NeonInstanceNormalizationWorkload.cpp
new file mode 100644
index 0000000..d6c3081
--- /dev/null
+++ b/src/backends/neon/workloads/NeonInstanceNormalizationWorkload.cpp
@@ -0,0 +1,60 @@
+//
+// Copyright © 2019 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "NeonInstanceNormalizationWorkload.hpp"
+
+#include "NeonWorkloadUtils.hpp"
+
+#include <aclCommon/ArmComputeTensorUtils.hpp>
+#include <backendsCommon/CpuTensorHandle.hpp>
+#include <neon/NeonTensorHandle.hpp>
+
+using namespace armnn::armcomputetensorutils;
+
+namespace armnn
+{
+
+arm_compute::Status NeonInstanceNormalizationWorkloadValidate(const TensorInfo& input,
+ const TensorInfo& output,
+ const InstanceNormalizationDescriptor& descriptor)
+{
+ const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout);
+ const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout);
+
+ return arm_compute::NEInstanceNormalizationLayer::validate(&aclInputInfo,
+ &aclOutputInfo,
+ descriptor.m_Gamma,
+ descriptor.m_Beta,
+ descriptor.m_Eps);
+}
+
+NeonInstanceNormalizationWorkload::NeonInstanceNormalizationWorkload(
+ const InstanceNormalizationQueueDescriptor& descriptor,
+ const WorkloadInfo& info)
+ : BaseWorkload<InstanceNormalizationQueueDescriptor>(descriptor, info)
+{
+ m_Data.ValidateInputsOutputs("NeonInstanceNormalizationWorkload", 1, 1);
+
+ arm_compute::ITensor& input = static_cast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
+ arm_compute::ITensor& output = static_cast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
+
+ arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
+ input.info()->set_data_layout(aclDataLayout);
+ output.info()->set_data_layout(aclDataLayout);
+
+ m_Layer.configure(&input,
+ &output,
+ descriptor.m_Parameters.m_Gamma,
+ descriptor.m_Parameters.m_Beta,
+ descriptor.m_Parameters.m_Eps);
+};
+
+void NeonInstanceNormalizationWorkload::Execute() const
+{
+ ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonInstanceNormalizationWorkload_Execute");
+ m_Layer.run();
+}
+
+} // namespace armnn
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