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Fix warnings that cause build to fail
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parent
0b1b40077f
commit
70523a3df5
2 changed files with 5 additions and 4 deletions
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@ -437,6 +437,7 @@ public:
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template<typename Info_t, typename Shape_t>
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GemmHelper(const Info_t& info, const Shape_t& shape)
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{
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ORT_UNUSED_PARAMETER(shape);
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m_transA = info.GetOptionalAttribute<int>(AttrName::TransA, 0);
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m_transB = info.GetOptionalAttribute<int>(AttrName::TransB, 0);
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m_broadcast = info.GetOptionalAttribute<int>(AttrName::Broadcast, 0);
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@ -528,7 +529,7 @@ public:
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ends.push_back(gsl::narrow_cast<int32_t>(endsData[i]));
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}
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uint32_t inputCount = operatorInfo.GetInputCount();
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if (operatorInfo.GetInputCount() > 3)
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if (inputCount > 3)
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{
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MLOperatorTensor axesTensor = operatorInfo.GetConstantInputTensor(3);
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const std::vector<uint32_t>& axesTensorDimensions = axesTensor.GetShape();
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@ -540,7 +541,7 @@ public:
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}
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}
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if (operatorInfo.GetInputCount() > 4)
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if (inputCount > 4)
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{
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MLOperatorTensor stepsTensor = operatorInfo.GetConstantInputTensor(4);
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const std::vector<uint32_t>& stepsTensorDimensions = stepsTensor.GetShape();
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@ -323,9 +323,9 @@ winrt::Windows::AI::MachineLearning::LearningModel ProtobufHelpers::CreateModel(
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DataWriter m_dataWriter;
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};
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auto size = model.ByteSize();
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auto size = model.ByteSizeLong();
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auto raw_array = std::unique_ptr<char[]>(new char[size]);
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model.SerializeToArray(raw_array.get(), size);
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model.SerializeToArray(raw_array.get(), static_cast<int>(size));
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BufferStreamAdapter buffer;
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std::ostream os(&buffer);
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