IVGCVSW-3320 Add reference workload support for TransposeConvolution2dLayer
Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: Icc64f8148c9d8a0d14d772e6e4e7865e70585cd9
diff --git a/src/backends/reference/workloads/RefTransposeConvolution2dWorkload.cpp b/src/backends/reference/workloads/RefTransposeConvolution2dWorkload.cpp
new file mode 100644
index 0000000..50dafca
--- /dev/null
+++ b/src/backends/reference/workloads/RefTransposeConvolution2dWorkload.cpp
@@ -0,0 +1,67 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "RefTransposeConvolution2dWorkload.hpp"
+
+#include "RefWorkloadUtils.hpp"
+#include "TransposeConvolution2d.hpp"
+
+#include <Profiling.hpp>
+
+namespace armnn
+{
+
+RefTransposeConvolution2dWorkload::RefTransposeConvolution2dWorkload(
+ const TransposeConvolution2dQueueDescriptor& descriptor, const WorkloadInfo& info) :
+ BaseWorkload<TransposeConvolution2dQueueDescriptor>(descriptor, info)
+{
+ // set up weights decoder
+ m_Weights = std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Weight));
+ const TensorInfo& weightsInfo = GetTensorInfo(m_Weights.get());
+
+ m_WeightsDecoder = MakeDecoder<float>(weightsInfo, m_Weights.get()->Map(true));
+ m_WeightsShape = weightsInfo.GetShape();
+
+ // set up biases decoder
+ if (descriptor.m_Parameters.m_BiasEnabled)
+ {
+ m_Biases = std::make_unique<ScopedCpuTensorHandle>(*(descriptor.m_Bias));
+ const TensorInfo& biasesInfo = GetTensorInfo(m_Biases.get());
+ m_BiasesDecoder = MakeDecoder<float>(biasesInfo, m_Biases.get()->Map(true));
+ }
+}
+
+void RefTransposeConvolution2dWorkload::PostAllocationConfigure()
+{
+ // set up input decoder
+ const ITensorHandle* input = m_Data.m_Inputs[0];
+ const TensorInfo& inputInfo = GetTensorInfo(input);
+
+ m_InputShape = inputInfo.GetShape();
+ m_InputDecoder = MakeDecoder<float>(inputInfo, input->Map());
+
+ // set up output encoder
+ ITensorHandle* output = m_Data.m_Outputs[0];
+ const TensorInfo& outputInfo = GetTensorInfo(output);
+
+ m_OutputShape = outputInfo.GetShape();
+ m_OutputEncoder = MakeEncoder<float>(outputInfo, output->Map());
+}
+
+void RefTransposeConvolution2dWorkload::Execute() const
+{
+ ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, "RefTransposeConvolution2dWorkload_Execute");
+
+ TransposeConvolution2dImpl(m_Data.m_Parameters,
+ m_InputShape,
+ *m_InputDecoder,
+ m_OutputShape,
+ *m_OutputEncoder,
+ m_WeightsShape,
+ *m_WeightsDecoder,
+ m_BiasesDecoder.get());
+}
+
+} // namespace armnn
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