From 588ddeb82fb3719ee2b829ebdc7705c6db93f9ed Mon Sep 17 00:00:00 2001 From: Scott McKay Date: Tue, 2 Feb 2021 14:06:49 +1000 Subject: [PATCH] Add level 1 optimized mnist model so that the required_ops.config includes the ops in that (which are used in mnist.level1_opt.ort). NNAPI unit tests need this. (#6514) Update required_ops.config with automatically generated version. There have been some other changes to testdata which show up as diffs here. --- onnxruntime/test/testdata/mnist.level1_opt.onnx | Bin 0 -> 26288 bytes onnxruntime/test/testdata/mnist.readme.txt | 6 ++++++ onnxruntime/test/testdata/required_ops.config | 8 ++++---- 3 files changed, 10 insertions(+), 4 deletions(-) create mode 100644 onnxruntime/test/testdata/mnist.level1_opt.onnx create mode 100644 onnxruntime/test/testdata/mnist.readme.txt diff --git a/onnxruntime/test/testdata/mnist.level1_opt.onnx b/onnxruntime/test/testdata/mnist.level1_opt.onnx new file mode 100644 index 0000000000000000000000000000000000000000..53592901fb94b719a9f7f17e7f1b0464af24b2bf GIT binary patch literal 26288 zcmce-2{cyG_dgsmmzj{1sZbJ9c1>(&l5H@DIq{Ewos zs?3m8f#D&6!F~}d{MQ89iQ9>nh)5bM$Vf)44G#(kjIa~26ZuDthK!W|y0xKxYy1Or zWoA!to8~vi!(*CfiHMl-5E=31;i2o+s1Gz0HCB?54hRbN|Hobay|c^&ng1${lDuc& zj5!wO|0$ltzgFlD_6!VOC$nEf=D)U3Qt}854Gs!fK55c__LBaOI$cRO{|)~r{kJ)Z 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- mnist.level1_opt.ort is used in NNAPI unit tests. \ No newline at end of file diff --git a/onnxruntime/test/testdata/required_ops.config b/onnxruntime/test/testdata/required_ops.config index 930f7fa78b..5edbea7fd1 100644 --- a/onnxruntime/test/testdata/required_ops.config +++ b/onnxruntime/test/testdata/required_ops.config @@ -1,10 +1,10 @@ # required ops for ONNX models in testdata -ai.onnx;7;Abs,Add,And,BatchNormalization,Concat,Conv,Dropout,Flatten,Foo,Gather,Gemm,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,MatMul,MaxPool,Mul,Relu,Reshape +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;10;Add,Cast,Concat,Constant,ConstantOfShape,Div,Dropout,Equal,Erf,Expand,Gather,Gemm,Greater,Identity,If,LayerNormalization,Loop,MatMul,Min,Mul,Neg,NonZero,Not,Pow,ReduceMean,ReduceSum,Reshape,Shape,Slice,Softmax,SparseSoftmaxCrossEntropy,Sqrt,Squeeze,Sub,Tanh,TrainableDropout,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,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,Reshape,Shape,Slice,Softmax,SoftmaxCrossEntropyLoss,Split,Sqrt,Squeeze,Sub,Tanh,TrainableDropout,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;314159;Add ai.onnx.ml;1;ArrayFeatureExtractor,DictVectorizer,LabelEncoder,LinearClassifier,Normalizer,OneHotEncoder,TreeEnsembleRegressor,ZipMap com.microsoft;1;BiasGelu,Fake_FunctionOp,FastGelu,FusedGemm,FusedMatMul,Gelu,Trilu