commit 37e68686a4889b6e79b035356202903647671f13
author Ellen Norris-Thompson <ellen.norris-thompson@arm.com> Mon Jul 15 14:23:30 2019 +0100
committer Narumol Prangnawarat <narumol.prangnawarat@arm.com> Wed Jul 17 16:36:30 2019 +0000
tree f248e6ba83a3dcecc0c0bef829123a4378c23e99
parent bcca1f4a7ba8364f7b5e58e8e8866ccd7d530f92

IVGCVSW-3297 Add Neon backend support for ResizeNearestNeighbour

 * Renamed NeonResizeBilinearWorkload.* to NeonResizeWorkload.* and added support for ResizeNearestNeighbour
 * Added CreateWorkload and LayerTests for Neon backend

Signed-off-by: Ellen Norris-Thompson <ellen.norris-thompson@arm.com>

Change-Id: I72f5340608a0928f8b32a41d1915ee2c35849f18

src/backends/neon/workloads/NeonResizeWorkload.cpp

diff --git a/src/backends/neon/workloads/NeonResizeWorkload.cpp b/src/backends/neon/workloads/NeonResizeWorkload.cpp
new file mode 100644
index 0000000..a4e4a4a
--- /dev/null
+++ b/src/backends/neon/workloads/NeonResizeWorkload.cpp
@@ -0,0 +1,72 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "NeonResizeWorkload.hpp"
+
+#include "NeonWorkloadUtils.hpp"
+
+#include <aclCommon/ArmComputeUtils.hpp>
+#include <aclCommon/ArmComputeTensorUtils.hpp>
+#include <backendsCommon/CpuTensorHandle.hpp>
+#include <neon/NeonTensorHandle.hpp>
+
+using namespace armnn::armcomputetensorutils;
+
+namespace armnn
+{
+
+arm_compute::Status NeonResizeWorkloadValidate(const TensorInfo& input,
+                                               const TensorInfo& output,
+                                               const ResizeDescriptor& descriptor)
+{
+    arm_compute::TensorInfo aclInputInfo  = BuildArmComputeTensorInfo(input);
+    arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);
+
+    arm_compute::DataLayout aclDataLayout = ConvertDataLayout(descriptor.m_DataLayout);
+    aclInputInfo.set_data_layout(aclDataLayout);
+    aclOutputInfo.set_data_layout(aclDataLayout);
+
+    arm_compute::InterpolationPolicy aclInterpolationPolicy =
+            ConvertResizeMethodToAclInterpolationPolicy(descriptor.m_Method);
+
+    return arm_compute::NEScale::validate(&aclInputInfo,
+                                          &aclOutputInfo,
+                                          aclInterpolationPolicy,
+                                          arm_compute::BorderMode::REPLICATE,
+                                          arm_compute::PixelValue(0.f),
+                                          arm_compute::SamplingPolicy::TOP_LEFT);
+}
+
+NeonResizeWorkload::NeonResizeWorkload(const ResizeQueueDescriptor& descriptor,
+                                                       const WorkloadInfo& info)
+    : BaseWorkload<ResizeQueueDescriptor>(descriptor, info)
+{
+    m_Data.ValidateInputsOutputs("NeonResizeWorkload", 1, 1);
+
+    arm_compute::ITensor& input = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
+    arm_compute::ITensor& output = boost::polymorphic_downcast<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);
+
+    arm_compute::InterpolationPolicy aclInterpolationPolicy =
+            ConvertResizeMethodToAclInterpolationPolicy(descriptor.m_Parameters.m_Method);
+
+    m_ResizeLayer.configure(&input,
+                            &output,
+                            aclInterpolationPolicy,
+                            arm_compute::BorderMode::REPLICATE,
+                            arm_compute::PixelValue(0.f),
+                            arm_compute::SamplingPolicy::TOP_LEFT);
+};
+
+void NeonResizeWorkload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonResizeWorkload_Execute");
+    m_ResizeLayer.run();
+}
+
+} //namespace armnn