IVGCVSW-2093 Add SpaceToBatchNd layer and corresponding no-op factory implementations

Change-Id: Ibd457f3a2d4342c4d6335bd3c471282a14ab6b14

1 files changed, 40 insertions, 0 deletions

diff --git a/src/backends/WorkloadData.cpp b/src/backends/WorkloadData.cpp
index ef31fbd1fb..495d4ecde9 100644
--- a/src/backends/WorkloadData.cpp
+++ b/src/backends/WorkloadData.cpp
@@ -741,6 +741,46 @@ void ReshapeQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
     }
 }
 
+void SpaceToBatchNdQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
+{
+    ValidateSingleInput(workloadInfo, "SpaceToBatchNdQueueDescriptor");
+    ValidateSingleOutput(workloadInfo, "SpaceToBatchNdQueueDescriptor");
+
+    ValidateTensorNumDimensions(workloadInfo.m_InputTensorInfos[0], "SpaceToBatchNdQueueDescriptor", 4, "input");
+    ValidateTensorNumDimensions(workloadInfo.m_OutputTensorInfos[0], "SpaceToBatchNdQueueDescriptor", 4, "output");
+
+    if (workloadInfo.m_InputTensorInfos[0].GetNumElements() != workloadInfo.m_OutputTensorInfos[0].GetNumElements())
+    {
+        throw InvalidArgumentException("SpaceToBatchNdQueueDescriptor: Input tensor has " +
+            to_string(workloadInfo.m_InputTensorInfos[0].GetNumElements()) + " but output tensor has " +
+            to_string(workloadInfo.m_OutputTensorInfos[0].GetNumElements()) + " elements.");
+    }
+
+    if (m_Parameters.m_BlockShape.size() != 2)
+    {
+        throw InvalidArgumentException("Block Shape must contains 2 spatial dimensions");
+    }
+
+    if (m_Parameters.m_BlockShape.size() != m_Parameters.m_PadList.size())
+    {
+        throw InvalidArgumentException("Pad List must contains the same number of dimensions as Block Shape.");
+    }
+
+    const TensorShape inputShape = workloadInfo.m_InputTensorInfos[0].GetShape();
+
+    std::pair<unsigned int, unsigned int> heightPad = m_Parameters.m_PadList[0];
+    std::pair<unsigned int, unsigned int> widthPad = m_Parameters.m_PadList[1];
+
+    if ((inputShape[m_Parameters.m_DataLayout.GetHeightIndex()] + heightPad.first + heightPad.second)
+            % m_Parameters.m_BlockShape[0] != 0 ||
+        (inputShape[m_Parameters.m_DataLayout.GetWidthIndex()] + widthPad.first + widthPad.second)
+            % m_Parameters.m_BlockShape[1] != 0)
+    {
+        throw InvalidArgumentException(
+            "Input shape after padding must be divisible by Block Shape in all spatial dimensions");
+    }
+}
+
 void FloorQueueDescriptor::Validate(const WorkloadInfo& workloadInfo) const
 {
     ValidateSingleInput(workloadInfo, "FloorQueueDescriptor");