IVGCVSW-3136 Run VTS tests with 1.2 Driver
* Updated android-nn-driver to run VTS tests with 1.2 Driver
Change-Id: I99a73b1e32dcf5bc655d88c2dbe0e610e245ea15
Signed-off-by: Sadik Armagan <sadik.armagan@arm.com>
diff --git a/ModelToINetworkConverter.cpp b/ModelToINetworkConverter.cpp
index 96a6560..4797ccf 100644
--- a/ModelToINetworkConverter.cpp
+++ b/ModelToINetworkConverter.cpp
@@ -36,9 +36,9 @@
template<typename HalPolicy>
void ModelToINetworkConverter<HalPolicy>::Convert()
{
- using HalModel = typename HalPolicy::Model;
- using Operand = typename HalPolicy::Operand;
- using OperandType = typename HalPolicy::OperationType;
+ using HalModel = typename HalPolicy::Model;
+ using HalOperand = typename HalPolicy::Operand;
+ using HalOperandType = typename HalPolicy::OperandType;
ALOGV("ModelToINetworkConverter::Convert(): %s", GetModelSummary<HalModel>(m_Model).c_str());
@@ -70,7 +70,7 @@
{
// inputs in android nn are represented by operands
uint32_t inputIndex = m_Model.inputIndexes[i];
- const Operand& operand = m_Model.operands[inputIndex];
+ const HalOperand& operand = m_Model.operands[inputIndex];
const armnn::TensorInfo& tensor = GetTensorInfoForOperand(operand);
armnn::IConnectableLayer* layer = m_Data.m_Network->AddInputLayer(i);
@@ -81,7 +81,7 @@
m_Data.m_OutputSlotForOperand[inputIndex] = &outputSlot;
}
}
- catch (UnsupportedOperand<OperandType>& e)
+ catch (UnsupportedOperand<HalOperandType>& e)
{
Fail("%s: Operand type %s not supported in ArmnnDriver", __func__, toString(e.m_type).c_str());
m_ConversionResult = ConversionResult::UnsupportedFeature;
@@ -109,7 +109,7 @@
{
ok = HalPolicy::ConvertOperation(operation, m_Model, m_Data);
}
- catch (UnsupportedOperand<OperandType>& e)
+ catch (UnsupportedOperand<HalOperandType>& e)
{
Fail("%s: Operand type %s not supported in ArmnnDriver", __func__, toString(e.m_type).c_str());
ok = false;
@@ -139,7 +139,7 @@
{
// outputs in android nn are represented by operands
uint32_t outputIndex = m_Model.outputIndexes[i];
- const Operand& operand = m_Model.operands[outputIndex];
+ const HalOperand& operand = m_Model.operands[outputIndex];
const armnn::TensorInfo& tensor = GetTensorInfoForOperand(operand);
armnn::IConnectableLayer* layer = m_Data.m_Network->AddOutputLayer(i);