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Fix reduced ops CI failure (#8377)

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Guoyu Wang 2021-07-13 20:53:57 -07:00 committed by GitHub
parent e340a59993
commit 68c5eb5414
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2 changed files with 8 additions and 5 deletions
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9
onnxruntime/test/testdata/required_ops.config vendored
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@ -1,10 +1,13 @@
# required ops for ONNX models in testdata
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
ai.onnx;8;Add,Conv,Flatten,Gemm,MatMul,MaxPool,Mul,Relu,Reshape
ai.onnx;9;Abs,Add,BatchNormalization,Cast,Clip,Concat,Constant,ConstantOfShape,Conv,Div,Equal,Gather,Gemm,Identity,If,LayerNormalization,LeakyRelu,MatMul,Mul,Pow,ReduceMean,Relu,Reshape,Scan,Shape,Sigmoid,Slice,Softmax,Softsign,Sqrt,Sub,Tanh,Transpose,Unsqueeze
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
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
ai.onnx;11;Abs,Add,ArgMax,BatchNormalization,Cast,Clip,Concat,Constant,ConstantOfShape,Conv,Div,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,SequenceInsert,SequenceLength,Shape,Sigmoid,Slice,Softmax,Split,Sqrt,Squeeze,Sub,Sum,Tanh,Transpose,Unsqueeze,Where
ai.onnx;12;Add,And,Cast,Concat,Constant,ConstantOfShape,Conv,CumSum,Div,Dropout,DynamicQuantizeLinear,Equal,Erf,Expand,Flatten,Gather,GatherND,Gemm,GlobalAveragePool,Identity,If,LayerNormalization,Less,Loop,MatMul,MatMulInteger,Min,Mul,NonZero,Not,Pad,Pow,RandomNormalLike,Range,ReduceMean,ReduceSum,Relu,Reshape,Shape,Slice,Softmax,SoftmaxCrossEntropyLoss,SparseSoftmaxCrossEntropy,Split,Sqrt,Squeeze,Sub,Tanh,Transpose,Unsqueeze,Where
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,SequenceInsert,SequenceLength,Shape,Sigmoid,Slice,Softmax,Split,Sqrt,Squeeze,Sub,Sum,Tanh,Transpose,Unsqueeze,Where
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
ai.onnx;13;Abs,Add,Cast,Concat,ConstantOfShape,Conv,DequantizeLinear,DynamicQuantizeLinear,Equal,Expand,FooBar,FooBar_Attr,Gather,Identity,LayerNormalization,MatMul,MatMulInteger,Mul,Pad,Pow,QuantizeLinear,Range,ReduceSum,Reshape,Shape,Tanh,Transpose,Unsqueeze,Where
ai.onnx;14;Add,ArgMax,Cast,Conv,Identity,Relu,Sigmoid,Sub
ai.onnx;314159;Add
ai.onnx.contrib;1;StringLower
ai.onnx.ml;1;ArrayFeatureExtractor,DictVectorizer,LabelEncoder,LinearClassifier,Normalizer,OneHotEncoder,TreeEnsembleRegressor,ZipMap
com.microsoft;1;BiasGelu,Fake_FunctionOp,FastGelu,FusedGemm,FusedMatMul,Gelu,Trilu

4
onnxruntime/test/testdata/required_ops_and_types.config vendored
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@ -3,7 +3,7 @@ ai.onnx;1;Conv{"inputs": {"0": ["float"]}},Foo,Identity
ai.onnx;5;Reshape
ai.onnx;6;Relu{"inputs": {"0": ["float"]}}
ai.onnx;7;Add{"inputs": {"0": ["float"]}},Gemm{"inputs": {"0": ["float"]}},Mul{"inputs": {"0": ["float"]}}
ai.onnx;8;MaxPool,Sum
ai.onnx;8;MaxPool{"inputs": {"0": ["float"]}},Sum{"inputs": {"0": ["float"]}}
ai.onnx;9;Cast{"inputs": {"0": ["float"]}, "outputs": {"0": ["bool"]}}
ai.onnx;11;ArgMax,If,Loop
ai.onnx;11;ArgMax{"inputs": {"0": ["float"]}},If,Loop
ai.onnx.ml;1;ArrayFeatureExtractor,LinearClassifier,Normalizer,ZipMap