IVGCVSW-3306 Add Maximum support in HAL 1.2 driver

Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I94e410058ffc1ce39465498c12e10cb5669e7ed3

5 files changed, 59 insertions, 1 deletions

diff --git a/1.2/HalPolicy.cpp b/1.2/HalPolicy.cpp
index d7452c68..9ccac9b4 100644
--- a/1.2/HalPolicy.cpp
+++ b/1.2/HalPolicy.cpp
@@ -142,6 +142,8 @@ bool HalPolicy::ConvertOperation(const Operation& operation, const Model& model,
             return ConvertConv2d(operation, model, data);
         case V1_2::OperationType::DEPTHWISE_CONV_2D:
             return ConvertDepthwiseConv2d(operation, model, data);
+        case V1_2::OperationType::MAXIMUM:
+            return ConvertMaximum(operation, model, data);
         case V1_2::OperationType::PAD_V2:
             return ConvertPadV2(operation, model, data);
         case V1_2::OperationType::PRELU:
@@ -456,6 +458,51 @@ bool HalPolicy::ConvertDepthwiseConv2d(const Operation& operation, const Model&
     return SetupAndTrackLayerOutputSlot<hal_1_2::HalPolicy>(operation, 0, *endLayer, model, data);
 }
 
+bool HalPolicy::ConvertMaximum(const Operation& operation, const Model& model, ConversionData& data)
+{
+    LayerInputHandle input0 = ConvertToLayerInputHandle<hal_1_2::HalPolicy>(operation, 0, model, data);
+    LayerInputHandle input1 = ConvertToLayerInputHandle<hal_1_2::HalPolicy>(operation, 1, model, data);
+
+    if (!input0.IsValid() || !input1.IsValid())
+    {
+        return Fail("%s: Operation has invalid inputs", __func__);
+    }
+
+    const Operand* outputOperand = GetOutputOperand<hal_1_2::HalPolicy>(operation, 0, model);
+    if (!outputOperand)
+    {
+        return Fail("%s: Could not read output", __func__);
+    }
+
+    const armnn::TensorInfo& outInfo = GetTensorInfoForOperand(*outputOperand);
+    if (IsDynamicOutput(outInfo))
+    {
+        ALOGD("Output shape not set, will infer from inputs");
+        outInfo.SetShape(InferMaximumOutputShape(input0.GetTensorInfo().GetShape(), input1.GetTensorInfo().GetShape()));
+    }
+
+    if (!IsLayerSupportedForAnyBackend(__func__,
+                                       armnn::IsMaximumSupported,
+                                       data.m_Backends,
+                                       input0.GetTensorInfo(),
+                                       input1.GetTensorInfo(),
+                                       outInfo))
+    {
+        return false;
+    }
+
+    armnn::IConnectableLayer* layer = data.m_Network->AddMaximumLayer();
+    assert(layer != nullptr);
+    BroadcastTensor(input0, input1, layer, *data.m_Network);
+
+    return SetupAndTrackLayerOutputSlot<hal_1_2::HalPolicy>(operation,
+                                                            0,
+                                                            *layer,
+                                                            model,
+                                                            data,
+                                                            armnn::Optional<armnn::TensorInfo>(outInfo));
+}
+
 bool HalPolicy::ConvertPadV2(const Operation& operation, const Model& model, ConversionData& data)
 {
     LayerInputHandle input = ConvertToLayerInputHandle<hal_1_2::HalPolicy>(operation, 0, model, data);
diff --git a/1.2/HalPolicy.hpp b/1.2/HalPolicy.hpp
index 25aee820..d0d988f3 100644
--- a/1.2/HalPolicy.hpp
+++ b/1.2/HalPolicy.hpp
@@ -35,6 +35,8 @@ private:
 
     static bool ConvertDepthwiseConv2d(const Operation& operation, const Model& model, ConversionData& data);
 
+    static bool ConvertMaximum(const Operation& operation, const Model& model, ConversionData& data);
+
     static bool ConvertPadV2(const Operation& operation, const Model& model, ConversionData& data);
 
     static bool ConvertPrelu(const Operation& operation, const Model& model, ConversionData& data);
diff --git a/NnapiSupport.txt b/NnapiSupport.txt
index 462b48e6..eabc534f 100644
--- a/NnapiSupport.txt
+++ b/NnapiSupport.txt
@@ -50,6 +50,7 @@ The following AndroidNN HAL 1.2 operations are currently supported:
 
 CONV_2D                      (FLOAT32,QUANT8_ASYMM)
 DEPTHWISE_CONV_2D            (FLOAT32,QUANT8_ASYMM)
+MAXIMUM                      (FLOAT32,QUANT8_ASYMM)
 PRELU                        (FLOAT32,QUANT8_ASYMM)
 RESIZE_NEAREST_NEIGHBOR      (FLOAT32,QUANT8_ASYMM)
 
@@ -69,7 +70,6 @@ The following AndroidNN HAL 1.2 operations are currently not supported:
 CONCATENATION
 LSTM
 MINIMUM
-MAXIMUM
 PAD_V2
 QUANTIZE
 QUANTIZED_16BIT_LSTM
diff --git a/OutputShapeUtils.cpp b/OutputShapeUtils.cpp
index 739038ac..b6cdb316 100644
--- a/OutputShapeUtils.cpp
+++ b/OutputShapeUtils.cpp
@@ -54,6 +54,12 @@ bool IsDynamicOutput(const TensorInfo& outputInfo)
     return outputInfo.GetNumElements() == 0u;
 }
 
+TensorShape InferMaximumOutputShape(const armnn::TensorShape& input0Shape,
+                                    const armnn::TensorShape& input1Shape)
+{
+    return CalculateMaxShape(input0Shape, input1Shape);
+}
+
 TensorShape InferPadOutputShape(const TensorShape& inputShape,
                                 const std::vector<std::pair<unsigned int, unsigned int>>& padList)
 {
diff --git a/OutputShapeUtils.hpp b/OutputShapeUtils.hpp
index be255c28..dac4a193 100644
--- a/OutputShapeUtils.hpp
+++ b/OutputShapeUtils.hpp
@@ -12,6 +12,9 @@ namespace armnn_driver
 
 bool IsDynamicOutput(const armnn::TensorInfo& outputInfo);
 
+armnn::TensorShape InferMaximumOutputShape(const armnn::TensorShape& input0Shape,
+                                           const armnn::TensorShape& input1Shape);
+
 armnn::TensorShape InferPadOutputShape(const armnn::TensorShape& inputShape,
                                        const std::vector<std::pair<unsigned int, unsigned int>>& padList);