IVGCVSW-3586 Fix Skipped Space_To_Batch Hal 1.2 VTS Failures

Signed-off-by: Finn Williams <Finn.Williams@arm.com>
Change-Id: I9d0d0a75d54c25075d8d87c6265e350486157f5c

1 files changed, 1 insertions, 88 deletions

diff --git a/1.1/HalPolicy.cpp b/1.1/HalPolicy.cpp
index 2fab4745..e75b5c2a 100644
--- a/1.1/HalPolicy.cpp
+++ b/1.1/HalPolicy.cpp
@@ -252,94 +252,7 @@ bool HalPolicy::ConvertPad(const Operation& operation, const Model& model, Conve
 bool HalPolicy::ConvertSpaceToBatchNd(const Operation& operation, const Model& model, ConversionData& data)
 {
     ALOGV("hal_1_1::HalPolicy::ConvertSpaceToBatchNd()");
-
-    LayerInputHandle input = ConvertToLayerInputHandle<hal_1_1::HalPolicy>(operation, 0, model, data);
-    if (!input.IsValid())
-    {
-        return Fail("%s: Operation has invalid inputs", __func__);
-    }
-
-    const armnn::TensorInfo& inputInfo = input.GetTensorInfo();
-    unsigned int rank = inputInfo.GetNumDimensions();
-    unsigned int spatialDim = rank - 2;
-
-    if (rank != 4)
-    {
-        Fail("%s: Only inputs with rank 4 are supported", __func__);
-    }
-
-    const Operand* output = GetOutputOperand<hal_1_1::HalPolicy>(operation, 0, model);
-    if (!output)
-    {
-        return Fail("%s: Could not read output 0", __func__);
-    }
-
-    const armnn::TensorInfo& outputInfo = GetTensorInfoForOperand(*output);
-    if (IsDynamicTensor(outputInfo))
-    {
-        return Fail("%s: Dynamic output tensors are not supported", __func__);
-    }
-
-    const Operand* blockShapeOperand = GetInputOperand<hal_1_1::HalPolicy>(operation, 1, model);
-    const Operand* paddingsOperand   = GetInputOperand<hal_1_1::HalPolicy>(operation, 2, model);
-
-    armnn::TensorShape blockShapeOperandShape = GetTensorShapeForOperand(*blockShapeOperand);
-    if (blockShapeOperandShape.GetNumDimensions() != 1 || blockShapeOperandShape.GetNumElements() != spatialDim)
-    {
-        return Fail("%s: Operation has invalid block shape operand: expected shape [%d]", __func__, spatialDim);
-    }
-
-    std::vector<int32_t> blockShape;
-    GetTensorInt32Values<hal_1_1::HalPolicy>(*blockShapeOperand, blockShape, model, data);
-    if (std::any_of(blockShape.cbegin(), blockShape.cend(), [](int32_t i){ return i < 1; }))
-    {
-        return Fail("%s: Block shape must be at least 1 in all dimensions.", __func__);
-    }
-
-    armnn::TensorShape paddingsOperandShape = GetTensorShapeForOperand(*paddingsOperand);
-    if (paddingsOperandShape.GetNumDimensions() != 2 || paddingsOperandShape.GetNumElements() != 2 * spatialDim)
-    {
-        return Fail("%s: Operation has invalid paddings operand: expected shape [%d, 2]", __func__, spatialDim);
-    }
-
-    std::vector<std::pair<unsigned int, unsigned int>> paddingList;
-    std::vector<int32_t> paddings;
-    GetTensorInt32Values<hal_1_1::HalPolicy>(*paddingsOperand, paddings, model, data);
-    for (unsigned int i = 0; i < paddings.size() - 1; i += 2)
-    {
-        int paddingBeforeInput = paddings[i];
-        int paddingAfterInput = paddings[i + 1];
-        if (paddingBeforeInput < 0 || paddingAfterInput < 0)
-        {
-            return Fail("%s: Operation has invalid paddings operand, invalid padding values.", __func__);
-        }
-
-        paddingList.emplace_back((unsigned int) paddingBeforeInput, (unsigned int) paddingAfterInput);
-    }
-
-    armnn::SpaceToBatchNdDescriptor descriptor;
-    descriptor.m_DataLayout = armnn::DataLayout::NHWC;
-    descriptor.m_BlockShape.assign(blockShape.cbegin(), blockShape.cend());
-    descriptor.m_PadList.assign(paddingList.cbegin(), paddingList.cend());
-
-    bool isSupported = false;
-    FORWARD_LAYER_SUPPORT_FUNC(__func__,
-                               IsSpaceToBatchNdSupported,
-                               data.m_Backends,
-                               isSupported,
-                               inputInfo,
-                               outputInfo,
-                               descriptor);
-    if (!isSupported)
-    {
-        return false;
-    }
-
-    armnn::IConnectableLayer* const layer = data.m_Network->AddSpaceToBatchNdLayer(descriptor);
-    assert(layer != nullptr);
-    input.Connect(layer->GetInputSlot(0));
-
-    return SetupAndTrackLayerOutputSlot<hal_1_1::HalPolicy>(operation, 0, *layer, model, data);
+    return ::ConvertSpaceToBatchNd<hal_1_1::HalPolicy>(operation, model, data);
 }
 
 bool HalPolicy::ConvertSqueeze(const Operation& operation, const Model& model, ConversionData& data)