From 95b1ef62568cc71b4bcdde6af02b26687d020a1e Mon Sep 17 00:00:00 2001
From: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Date: Mon, 15 Jul 2019 12:02:20 +0100
Subject: IVGCVSW-3306 Add Maximum support in HAL 1.2 driver

Signed-off-by: Narumol Prangnawarat <narumol.prangnawarat@arm.com>
Change-Id: I94e410058ffc1ce39465498c12e10cb5669e7ed3
---
 1.2/HalPolicy.cpp | 47 +++++++++++++++++++++++++++++++++++++++++++++++
 1.2/HalPolicy.hpp |  2 ++
 2 files changed, 49 insertions(+)

(limited to '1.2')

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);
-- 
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