IVGCVSW-3296 Add CL backend support for ResizeNearestNeighbour

Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: I7f4c722141837939fd8904c52e75704a15c8a5e3

1 files changed, 74 insertions, 0 deletions

diff --git a/src/backends/cl/workloads/ClResizeWorkload.cpp b/src/backends/cl/workloads/ClResizeWorkload.cpp
new file mode 100644
index 0000000000..3c9c3aab16
--- /dev/null
+++ b/src/backends/cl/workloads/ClResizeWorkload.cpp
@@ -0,0 +1,74 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "ClResizeWorkload.hpp"
+
+#include "ClWorkloadUtils.hpp"
+
+#include <aclCommon/ArmComputeUtils.hpp>
+#include <aclCommon/ArmComputeTensorUtils.hpp>
+
+#include <backendsCommon/CpuTensorHandle.hpp>
+
+#include <cl/ClLayerSupport.hpp>
+#include <cl/ClTensorHandle.hpp>
+
+using namespace armnn::armcomputetensorutils;
+
+namespace armnn
+{
+
+arm_compute::Status ClResizeWorkloadValidate(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::CLScale::validate(&aclInputInfo,
+                                          &aclOutputInfo,
+                                          aclInterpolationPolicy,
+                                          arm_compute::BorderMode::REPLICATE,
+                                          arm_compute::PixelValue(0.f),
+                                          arm_compute::SamplingPolicy::TOP_LEFT);
+}
+
+ClResizeWorkload::ClResizeWorkload(const ResizeQueueDescriptor& descriptor, const WorkloadInfo& info) :
+    BaseWorkload<ResizeQueueDescriptor>(descriptor, info)
+{
+    m_Data.ValidateInputsOutputs("ClResizeWorkload", 1, 1);
+
+    arm_compute::ICLTensor& input  = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
+    arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(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 ClResizeWorkload::Execute() const
+{
+    ARMNN_SCOPED_PROFILING_EVENT_CL("ClResizeWorkload_Execute");
+    RunClFunction(m_ResizeLayer, CHECK_LOCATION());
+}
+
+} //namespace armnn