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https://github.com/saymrwulf/onnxruntime.git
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b3cb775cf9
### Description <!-- Describe your changes. --> - allocation planner was breaking if graph had no nodes - in this particular model a branch of an If node returned an outer scope value directly. - if model used non-tensor types and sparse tensors are disabled the call to IsSpareTensor causes an exception when prematurely terminates the code. - it's perfectly fine to check if a value is a sparse tensor when support for them is disabled. we just can't do anything with that OrtValue which is what the current ifdef's after the call to IsSparseTensor handle. ### Motivation and Context <!-- - Why is this change required? What problem does it solve? - If it fixes an open issue, please link to the issue here. --> Fix model execution failure for partner with model that uses sequences in a minimal build with sparse tensors disabled.
13 lines
2.3 KiB
Text
13 lines
2.3 KiB
Text
# required ops for ONNX models in testdata
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ai.onnx;7;Abs,Add,And,BatchNormalization,Concat,Conv,Dropout,Flatten,Foo,Gather,GlobalAveragePool,Identity,LSTM,MatMul,Max,MaxPool,Min,Mul,Mul16,Multinomial,OptionalOp,RNN,Relu,Reshape,Shape,Slice,Softmax,Sub,Unsqueeze
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ai.onnx;8;Add,Conv,Flatten,Gemm,MatMul,MaxPool,Mul,Relu,Reshape
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ai.onnx;9;Abs,Add,BatchNormalization,Cast,Clip,Concat,Constant,ConstantOfShape,Conv,Div,Equal,Gather,Gemm,Identity,If,LayerNormalization,LeakyRelu,Loop,MatMul,Mul,Pow,ReduceMean,Relu,Reshape,Scan,Shape,Sigmoid,Slice,Softmax,Softsign,Sqrt,Squeeze,Sub,Tanh,Transpose,Unsqueeze
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ai.onnx;10;Add,Cast,Concat,ConstantOfShape,Div,Dropout,Erf,Expand,Gather,Greater,Identity,If,LayerNormalization,Loop,MatMul,Mul,Neg,NonZero,Pow,ReduceMean,ReduceSum,Shape,Sqrt,Squeeze,Sub,Tanh,Transpose,Unsqueeze
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ai.onnx;11;Abs,Add,ArgMax,BatchNormalization,Cast,Clip,Concat,Constant,ConstantOfShape,Conv,Div,Equal,Exp,Expand,Flatten,Gather,Gemm,Identity,If,LayerNormalization,Log,Loop,MatMul,MatMulInteger,Max,Min,Mul,Neg,Pow,RandomUniform,Range,ReduceMean,ReduceSum,ReduceSumSquare,Relu,Reshape,Scan,SequenceConstruct,SequenceErase,SequenceInsert,SequenceLength,Shape,Sigmoid,Slice,Softmax,Split,Sqrt,Squeeze,Sub,Sum,Tanh,Transpose,Unsqueeze,Where
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ai.onnx;12;Add,And,Cast,Concat,Constant,ConstantOfShape,Conv,CumSum,Div,Dropout,DynamicQuantizeLinear,Equal,Erf,Expand,Flatten,Gather,GatherND,Gemm,GlobalAveragePool,Greater,Identity,If,IsInf,LayerNormalization,Less,Loop,MatMul,MatMulInteger,Min,Mul,Not,Pad,Pow,RandomNormalLike,RandomUniform,ReduceMean,ReduceSum,Relu,Reshape,Shape,Slice,Softmax,SoftmaxCrossEntropyLoss,SparseSoftmaxCrossEntropy,Split,Sqrt,Squeeze,Sub,Tanh,Transpose,Unsqueeze,Where
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ai.onnx;13;Abs,Add,Cast,Concat,ConstantOfShape,Conv,DequantizeLinear,DynamicQuantizeLinear,Equal,Expand,FooBar,FooBar_Attr,Gather,Greater,Identity,If,LayerNormalization,MatMul,MatMulInteger,Mul,Pad,Pow,QuantizeLinear,Range,ReduceSum,Reshape,Shape,Tanh,Transpose,Unsqueeze,Where
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ai.onnx;14;Add,ArgMax,Cast,Conv,Identity,Relu,Sigmoid,Sub
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ai.onnx;314159;Add
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ai.onnx.contrib;1;StringLower
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ai.onnx.ml;1;ArrayFeatureExtractor,DictVectorizer,LabelEncoder,LinearClassifier,Normalizer,OneHotEncoder,TreeEnsembleRegressor,ZipMap
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com.microsoft;1;BiasGelu,Fake_FunctionOp,FastGelu,FusedGemm,FusedMatMul,Gelu,Trilu,SparseToDenseMatMul
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