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ONNX-Tensorflow Support Status

ONNX-Tensorflow Version Master ( commit id: b080dab0d10ec3b46d5c343b90f70ca35a71e697 )
ONNX Version Master ( commit id: 96046b8ccfb8e6fa82f6b2b34b3d56add2e8849c )
Tensorflow Version v2.8.0

Notes:

  • Values that are new or updated from a previous opset version are in bold.
  • -: not defined in corresponding ONNX opset version
  • *: the operator is deprecated
  • ๐Ÿ”บ: not supported yet
  • ๐Ÿ”ธ: partially supported
  • the rest are all supported
ONNX Operator Opset 1 Opset 2 Opset 3 Opset 4 Opset 5 Opset 6 Opset 7 Opset 8 Opset 9 Opset 10 Opset 11 Opset 12 Opset 13 Opset 14 Opset 15 Opset 16 ONNX Operator
Abs 1 1 1 1 1 6 6 6 6 6 6 6 13 13 13 13 Abs
Acos - - - - - - 7 7 7 7 7 7 7 7 7 7 Acos
Acosh - - - - - - - - 9 9 9 9 9 9 9 9 Acosh
Add 1 1 1 1 1 6 7 7 7 7 7 7 13 14 14 14 Add
And 1 1 1 1 1 1 7 7 7 7 7 7 7 7 7 7 And
ArgMax 1 1 1 1 1 1 1 1 1 1 11 12 13 13 13 13 ArgMax
ArgMin 1 1 1 1 1 1 1 1 1 1 11 12 13 13 13 13 ArgMin
Asin - - - - - - 7 7 7 7 7 7 7 7 7 7 Asin
Asinh - - - - - - - - 9 9 9 9 9 9 9 9 Asinh
Atan - - - - - - 7 7 7 7 7 7 7 7 7 7 Atan
Atanh - - - - - - - - 9 9 9 9 9 9 9 9 Atanh
AveragePool 1 1 1 1 1 1 7 7 7 10 11 11 11 11 11 11 AveragePool
BatchNormalization 1๐Ÿ”ธ 1:small_orange_diamond: 1:small_orange_diamond: 1:small_orange_diamond: 1:small_orange_diamond: 6๐Ÿ”ธ 7๐Ÿ”ธ 7:small_orange_diamond: 9๐Ÿ”ธ 9:small_orange_diamond: 9:small_orange_diamond: 9:small_orange_diamond: 9:small_orange_diamond: 14๐Ÿ”ธ 15๐Ÿ”ธ 15:small_orange_diamond: BatchNormalization
Bernoulli - - - - - - - - - - - - - - 15๐Ÿ”ธ 15:small_orange_diamond: Bernoulli
BitShift - - - - - - - - - - 11 11 11 11 11 11 BitShift
Cast 1๐Ÿ”ธ 1:small_orange_diamond: 1:small_orange_diamond: 1:small_orange_diamond: 1:small_orange_diamond: 6๐Ÿ”ธ 6:small_orange_diamond: 6:small_orange_diamond: 9๐Ÿ”ธ 9:small_orange_diamond: 9:small_orange_diamond: 9:small_orange_diamond: 13๐Ÿ”ธ 13:small_orange_diamond: 13:small_orange_diamond: 13:small_orange_diamond: Cast
CastLike - - - - - - - - - - - - - - 15๐Ÿ”ธ 15:small_orange_diamond: CastLike
Ceil 1 1 1 1 1 6 6 6 6 6 6 6 13 13 13 13 Ceil
Celu - - - - - - - - - - - 12 12 12 12 12 Celu
Clip 1 1 1 1 1 6 6 6 6 6 11 12 13 13 13 13 Clip
Compress - - - - - - - - 9 9 11 11 11 11 11 11 Compress
Concat 1 1 1 4 4 4 4 4 4 4 11 11 13 13 13 13 Concat
ConcatFromSequence - - - - - - - - - - 11๐Ÿ”ธ 11:small_orange_diamond: 11:small_orange_diamond: 11:small_orange_diamond: 11:small_orange_diamond: 11:small_orange_diamond: ConcatFromSequence
Constant 1 1 1 1 1 1 1 1 9 9 11 12 13 13 13 13 Constant
ConstantOfShape - - - - - - - - 9 9 9 9 9 9 9 9 ConstantOfShape
Conv 1 1 1 1 1 1 1 1 1 1 11 11 11 11 11 11 Conv
ConvInteger - - - - - - - - - 10 10 10 10 10 10 10 ConvInteger
ConvTranspose 1๐Ÿ”ธ 1:small_orange_diamond: 1:small_orange_diamond: 1:small_orange_diamond: 1:small_orange_diamond: 1:small_orange_diamond: 1:small_orange_diamond: 1:small_orange_diamond: 1:small_orange_diamond: 1:small_orange_diamond: 11๐Ÿ”ธ 11:small_orange_diamond: 11:small_orange_diamond: 11:small_orange_diamond: 11:small_orange_diamond: 11:small_orange_diamond: ConvTranspose
Cos - - - - - - 7 7 7 7 7 7 7 7 7 7 Cos
Cosh - - - - - - - - 9 9 9 9 9 9 9 9 Cosh
CumSum - - - - - - - - - - 11 11 11 14 14 14 CumSum
DepthToSpace 1 1 1 1 1 1 1 1 1 1 11 11 13 13 13 13 DepthToSpace
DequantizeLinear - - - - - - - - - 10 10 10 13 13 13 13 DequantizeLinear
Det - - - - - - - - - - 11 11 11 11 11 11 Det
Div 1 1 1 1 1 6 7 7 7 7 7 7 13 14 14 14 Div
Dropout 1 1 1 1 1 6 7 7 7 10 10 12 13 13 13 13 Dropout
DynamicQuantizeLinear - - - - - - - - - - 11 11 11 11 11 11 DynamicQuantizeLinear
Einsum - - - - - - - - - - - 12 12 12 12 12 Einsum
Elu 1 1 1 1 1 6 6 6 6 6 6 6 6 6 6 6 Elu
Equal 1 1 1 1 1 1 7 7 7 7 11 11 13 13 13 13 Equal
Erf - - - - - - - - 9 9 9 9 13 13 13 13 Erf
Exp 1 1 1 1 1 6 6 6 6 6 6 6 13 13 13 13 Exp
Expand - - - - - - - 8 8 8 8 8 13 13 13 13 Expand
EyeLike - - - - - - - - 9 9 9 9 9 9 9 9 EyeLike
Flatten 1 1 1 1 1 1 1 1 9 9 11 11 13 13 13 13 Flatten
Floor 1 1 1 1 1 6 6 6 6 6 6 6 13 13 13 13 Floor
GRU 1๐Ÿ”ธ 1:small_orange_diamond: 3๐Ÿ”ธ 3:small_orange_diamond: 3:small_orange_diamond: 3:small_orange_diamond: 7๐Ÿ”ธ 7:small_orange_diamond: 7:small_orange_diamond: 7:small_orange_diamond: 7:small_orange_diamond: 7:small_orange_diamond: 7:small_orange_diamond: 14๐Ÿ”ธ 14:small_orange_diamond: 14:small_orange_diamond: GRU
Gather 1 1 1 1 1 1 1 1 1 1 11 11 13 13 13 13 Gather
GatherElements - - - - - - - - - - 11 11 13 13 13 13 GatherElements
GatherND - - - - - - - - - - 11 12 13 13 13 13 GatherND
Gemm 1 1 1 1 1 6 7 7 9 9 11 11 13 13 13 13 Gemm
GlobalAveragePool 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 GlobalAveragePool
GlobalLpPool 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 GlobalLpPool
GlobalMaxPool 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 GlobalMaxPool
Greater 1 1 1 1 1 1 7 7 9 9 9 9 13 13 13 13 Greater
GreaterOrEqual - - - - - - - - - - - 12 12 12 12 16 GreaterOrEqual
GridSample - - - - - - - - - - - - - - - 16๐Ÿ”บ GridSample
HardSigmoid 1 1 1 1 1 6 6 6 6 6 6 6 6 6 6 6 HardSigmoid
HardSwish - - - - - - - - - - - - - 14 14 14 HardSwish
Hardmax 1 1 1 1 1 1 1 1 1 1 11 11 13 13 13 13 Hardmax
Identity 1 1 1 1 1 1 1 1 1 1 1 1 13 14 14 16 Identity
If 1 1 1 1 1 1 1 1 1 1 11 11 13 13 13 16๐Ÿ”บ If
InstanceNormalization 1 1 1 1 1 6 6 6 6 6 6 6 6 6 6 6 InstanceNormalization
IsInf - - - - - - - - - 10 10 10 10 10 10 10 IsInf
IsNaN - - - - - - - - 9 9 9 9 13 13 13 13 IsNaN
LRN 1 1 1 1 1 1 1 1 1 1 1 1 13 13 13 13 LRN
LSTM 1๐Ÿ”ธ 1:small_orange_diamond: 1:small_orange_diamond: 1:small_orange_diamond: 1:small_orange_diamond: 1:small_orange_diamond: 7๐Ÿ”ธ 7:small_orange_diamond: 7:small_orange_diamond: 7:small_orange_diamond: 7:small_orange_diamond: 7:small_orange_diamond: 7:small_orange_diamond: 14๐Ÿ”ธ 14:small_orange_diamond: 14:small_orange_diamond: LSTM
LeakyRelu 1 1 1 1 1 6 6 6 6 6 6 6 6 6 6 16 LeakyRelu
Less 1 1 1 1 1 1 7 7 9 9 9 9 13 13 13 13 Less
LessOrEqual - - - - - - - - - - - 12 12 12 12 16 LessOrEqual
Log 1 1 1 1 1 6 6 6 6 6 6 6 13 13 13 13 Log
LogSoftmax 1 1 1 1 1 1 1 1 1 1 11 11 13 13 13 13 LogSoftmax
Loop 1 1 1 1 1 1 1 1 1 1 11 11 13 13 13 16๐Ÿ”บ Loop
LpNormalization 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 LpNormalization
LpPool 1 2 2 2 2 2 2 2 2 2 11 11 11 11 11 11 LpPool
MatMul 1 1 1 1 1 1 1 1 9 9 9 9 13 13 13 13 MatMul
MatMulInteger - - - - - - - - - 10 10 10 10 10 10 10 MatMulInteger
Max 1 1 1 1 1 6 6 8 8 8 8 12 13 13 13 13 Max
MaxPool 1๐Ÿ”ธ 1:small_orange_diamond: 1:small_orange_diamond: 1:small_orange_diamond: 1:small_orange_diamond: 1:small_orange_diamond: 1:small_orange_diamond: 8๐Ÿ”ธ 8:small_orange_diamond: 10๐Ÿ”ธ 11๐Ÿ”ธ 12๐Ÿ”ธ 12:small_orange_diamond: 12:small_orange_diamond: 12:small_orange_diamond: 12:small_orange_diamond: MaxPool
MaxRoiPool 1๐Ÿ”บ 1:small_red_triangle: 1:small_red_triangle: 1:small_red_triangle: 1:small_red_triangle: 1:small_red_triangle: 1:small_red_triangle: 1:small_red_triangle: 1:small_red_triangle: 1:small_red_triangle: 1:small_red_triangle: 1:small_red_triangle: 1:small_red_triangle: 1:small_red_triangle: 1:small_red_triangle: 1:small_red_triangle: MaxRoiPool
MaxUnpool - - - - - - - - 9 9 11 11 11 11 11 11 MaxUnpool
Mean 1 1 1 1 1 6 6 8 8 8 8 8 13 13 13 13 Mean
MeanVarianceNormalization - - - - - - - - 9 9 9 9 13 13 13 13 MeanVarianceNormalization
Min 1 1 1 1 1 6 6 8 8 8 8 12 13 13 13 13 Min
Mod - - - - - - - - - 10 10 10 13 13 13 13 Mod
Mul 1 1 1 1 1 6 7 7 7 7 7 7 13 14 14 14 Mul
Multinomial - - - - - - 7 7 7 7 7 7 7 7 7 7 Multinomial
Neg 1 1 1 1 1 6 6 6 6 6 6 6 13 13 13 13 Neg
NegativeLogLikelihoodLoss - - - - - - - - - - - 12๐Ÿ”บ 13๐Ÿ”บ 13:small_red_triangle: 13:small_red_triangle: 13:small_red_triangle: NegativeLogLikelihoodLoss
NonMaxSuppression - - - - - - - - - 10 11 11 11 11 11 11 NonMaxSuppression
NonZero - - - - - - - - 9 9 9 9 13 13 13 13 NonZero
Not 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 Not
OneHot - - - - - - - - 9 9 11 11 11 11 11 11 OneHot
Optional - - - - - - - - - - - - - - 15 15 Optional
OptionalGetElement - - - - - - - - - - - - - - 15 15 OptionalGetElement
OptionalHasElement - - - - - - - - - - - - - - 15 15 OptionalHasElement
Or 1 1 1 1 1 1 7 7 7 7 7 7 7 7 7 7 Or
PRelu 1 1 1 1 1 6 7 7 9 9 9 9 9 9 9 16 PRelu
Pad 1 2 2 2 2 2 2 2 2 2 11 11 13 13 13 13 Pad
Pow 1 1 1 1 1 1 7 7 7 7 7 12 13 13 15 15 Pow
QLinearConv - - - - - - - - - 10 10 10 10 10 10 10 QLinearConv
QLinearMatMul - - - - - - - - - 10 10 10 10 10 10 10 QLinearMatMul
QuantizeLinear - - - - - - - - - 10 10 10 13 13 13 13 QuantizeLinear
RNN 1๐Ÿ”ธ 1:small_orange_diamond: 1:small_orange_diamond: 1:small_orange_diamond: 1:small_orange_diamond: 1:small_orange_diamond: 7๐Ÿ”ธ 7:small_orange_diamond: 7:small_orange_diamond: 7:small_orange_diamond: 7:small_orange_diamond: 7:small_orange_diamond: 7:small_orange_diamond: 14๐Ÿ”ธ 14:small_orange_diamond: 14:small_orange_diamond: RNN
RandomNormal 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 RandomNormal
RandomNormalLike 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 RandomNormalLike
RandomUniform 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 RandomUniform
RandomUniformLike 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 RandomUniformLike
Range - - - - - - - - - - 11 11 11 11 11 11 Range
Reciprocal 1 1 1 1 1 6 6 6 6 6 6 6 13 13 13 13 Reciprocal
ReduceL1 1 1 1 1 1 1 1 1 1 1 11 11 13 13 13 13 ReduceL1
ReduceL2 1 1 1 1 1 1 1 1 1 1 11 11 13 13 13 13 ReduceL2
ReduceLogSum 1 1 1 1 1 1 1 1 1 1 11 11 13 13 13 13 ReduceLogSum
ReduceLogSumExp 1 1 1 1 1 1 1 1 1 1 11 11 13 13 13 13 ReduceLogSumExp
ReduceMax 1 1 1 1 1 1 1 1 1 1 11 12 13 13 13 13 ReduceMax
ReduceMean 1 1 1 1 1 1 1 1 1 1 11 11 13 13 13 13 ReduceMean
ReduceMin 1 1 1 1 1 1 1 1 1 1 11 12 13 13 13 13 ReduceMin
ReduceProd 1 1 1 1 1 1 1 1 1 1 11 11 13 13 13 13 ReduceProd
ReduceSum 1 1 1 1 1 1 1 1 1 1 11 11 13 13 13 13 ReduceSum
ReduceSumSquare 1 1 1 1 1 1 1 1 1 1 11 11 13 13 13 13 ReduceSumSquare
Relu 1 1 1 1 1 6 6 6 6 6 6 6 13 14 14 14 Relu
Reshape 1 1 1 1 5 5 5 5 5 5 5 5 13 14 14 14 Reshape
Resize - - - - - - - - - 10๐Ÿ”ธ 11๐Ÿ”ธ 11:small_orange_diamond: 13๐Ÿ”ธ 13:small_orange_diamond: 13:small_orange_diamond: 13:small_orange_diamond: Resize
ReverseSequence - - - - - - - - - 10 10 10 10 10 10 10 ReverseSequence
RoiAlign - - - - - - - - - 10๐Ÿ”ธ 10:small_orange_diamond: 10:small_orange_diamond: 10:small_orange_diamond: 10:small_orange_diamond: 10:small_orange_diamond: 16๐Ÿ”บ RoiAlign
Round - - - - - - - - - - 11 11 11 11 11 11 Round
Scan - - - - - - - 8 9 9 11 11 11 11 11 16 Scan
Scatter - - - - - - - - 9 9 11* 11* 11* 11* 11* 11* Scatter
ScatterElements - - - - - - - - - - 11 11 13 13 13 16๐Ÿ”บ ScatterElements
ScatterND - - - - - - - - - - 11 11 13 13 13 16๐Ÿ”บ ScatterND
Selu 1 1 1 1 1 6 6 6 6 6 6 6 6 6 6 6 Selu
SequenceAt - - - - - - - - - - 11 11 11 11 11 11 SequenceAt
SequenceConstruct - - - - - - - - - - 11 11 11 11 11 11 SequenceConstruct
SequenceEmpty - - - - - - - - - - 11 11 11 11 11 11 SequenceEmpty
SequenceErase - - - - - - - - - - 11 11 11 11 11 11 SequenceErase
SequenceInsert - - - - - - - - - - 11 11 11 11 11 11 SequenceInsert
SequenceLength - - - - - - - - - - 11 11 11 11 11 11 SequenceLength
Shape 1 1 1 1 1 1 1 1 1 1 1 1 13 13 15 15 Shape
Shrink - - - - - - - - 9 9 9 9 9 9 9 9 Shrink
Sigmoid 1 1 1 1 1 6 6 6 6 6 6 6 13 13 13 13 Sigmoid
Sign - - - - - - - - 9 9 9 9 13 13 13 13 Sign
Sin - - - - - - 7 7 7 7 7 7 7 7 7 7 Sin
Sinh - - - - - - - - 9 9 9 9 9 9 9 9 Sinh
Size 1 1 1 1 1 1 1 1 1 1 1 1 13 13 13 13 Size
Slice 1 1 1 1 1 1 1 1 1 10 11 11 13 13 13 13 Slice
Softmax 1 1 1 1 1 1 1 1 1 1 11 11 13 13 13 13 Softmax
SoftmaxCrossEntropyLoss - - - - - - - - - - - 12๐Ÿ”บ 13๐Ÿ”บ 13:small_red_triangle: 13:small_red_triangle: 13:small_red_triangle: SoftmaxCrossEntropyLoss
Softplus 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 Softplus
Softsign 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 Softsign
SpaceToDepth 1 1 1 1 1 1 1 1 1 1 1 1 13 13 13 13 SpaceToDepth
Split 1 2 2 2 2 2 2 2 2 2 11 11 13 13 13 13 Split
SplitToSequence - - - - - - - - - - 11๐Ÿ”ธ 11:small_orange_diamond: 11:small_orange_diamond: 11:small_orange_diamond: 11:small_orange_diamond: 11:small_orange_diamond: SplitToSequence
Sqrt 1 1 1 1 1 6 6 6 6 6 6 6 13 13 13 13 Sqrt
Squeeze 1 1 1 1 1 1 1 1 1 1 11 11 13 13 13 13 Squeeze
StringNormalizer - - - - - - - - - 10๐Ÿ”บ 10:small_red_triangle: 10:small_red_triangle: 10:small_red_triangle: 10:small_red_triangle: 10:small_red_triangle: 10:small_red_triangle: StringNormalizer
Sub 1 1 1 1 1 6 7 7 7 7 7 7 13 14 14 14 Sub
Sum 1 1 1 1 1 6 6 8 8 8 8 8 13 13 13 13 Sum
Tan - - - - - - 7 7 7 7 7 7 7 7 7 7 Tan
Tanh 1 1 1 1 1 6 6 6 6 6 6 6 13 13 13 13 Tanh
TfIdfVectorizer - - - - - - - - 9 9 9 9 9 9 9 9 TfIdfVectorizer
ThresholdedRelu - - - - - - - - - 10 10 10 10 10 10 10 ThresholdedRelu
Tile 1 1 1 1 1 6 6 6 6 6 6 6 13 13 13 13 Tile
TopK 1 1 1 1 1 1 1 1 1 10 11 11 11 11 11 11 TopK
Transpose 1 1 1 1 1 1 1 1 1 1 1 1 13 13 13 13 Transpose
Trilu - - - - - - - - - - - - - 14 14 14 Trilu
Unique - - - - - - - - - - 11๐Ÿ”บ 11:small_red_triangle: 11:small_red_triangle: 11:small_red_triangle: 11:small_red_triangle: 11:small_red_triangle: Unique
Unsqueeze 1 1 1 1 1 1 1 1 1 1 11 11 13 13 13 13 Unsqueeze
Upsample 1๐Ÿ”บ 1:small_red_triangle: 1:small_red_triangle: 1:small_red_triangle: 1:small_red_triangle: 1:small_red_triangle: 7๐Ÿ”ธ 7:small_orange_diamond: 9๐Ÿ”ธ 10* 10* 10* 10* 10* 10* 10* Upsample
Where - - - - - - - - 9 9 9 9 9 9 9 16๐Ÿ”บ Where
Xor 1 1 1 1 1 1 7 7 7 7 7 7 7 7 7 7 Xor

ONNX-TF Supported Operators / ONNX Operators: 158 / 170

Notes:

  1. BatchNormalization: BatchNormalization with training_mode=1 is not supported in Tensorflow converte.
  2. Bernoulli: Bernoulli with float type seed will be converted to int type seed
  3. Cast: Cast string to data types other than float32/float64/int32/int64 is not supported in Tensorflow
  4. CastLike: CastLike string to data types other than float32/float64/int32/int64 is not supported in Tensorflow
  5. ConcatFromSequence: new_axis=1 not supported in Tensorflow.
  6. ConvTranspose: ConvTranspose with dilations != 1, or transposed convolution for 4D or higher are not supported in Tensorflow.
  7. GRU: GRU with clip or GRU with linear_before_reset, or GRU not using sigmoid for z and r, or GRU using Elu as the activation function with alpha != 1, or GRU using HardSigmoid as the activation function with alpha != 0.2 or beta != 0.5 are not supported in TensorFlow.
  8. LSTM: LSTM not using sigmoid for f, or LSTM not using the same activation for g and h are not supported in Tensorflow.
  9. MaxPool: MaxPoolWithArgmax with pad is None or incompatible mode, or MaxPoolWithArgmax with 4D or higher input, or MaxPoolWithArgmax with column major are not supported in Tensorflow.
  10. RNN: RNN with clip is not supported in Tensorflow.
  11. Resize: Resize required 4D input in Tensorflow. For opset 11, only the following attributes and inputs conbination are supported in Tensorflow:
    1. mode=nearest, coordinate_transformation_mode=align_corners, nearest_mode=round_prefer_ceil, can use scales(*) or sizes.
    2. mode=nearest, coordinate_transformation_mode=asymmetric, nearest_mode=floor, can use scales(*) or sizes.
    3. mode=nearest, coordinate_transformation_mode=tf_half_pixel_for_nn, nearest_mode=floor, can use scales(*) or sizes.
    4. mode=linear, coordinate_transformation_mode=align_corners, can use scales(*) or sizes.
    5. mode=linear, coordinate_transformation_mode=asymmetric, can use scales(*) or sizes.
    6. mode=linear, coordinate_transformation_mode=half_pixel, can use scales(*) or sizes.
    7. mode=cubic, coordinate_transformation_mode=align_corners, cubic_coeff_a=-0.5, exclude_outside=1, can use scales(*) or sizes.
    8. mode=cubic, coordinate_transformation_mode=asymmetric, cubic_coeff_a=-0.5, exclude_outside=1, can use scales(*) or sizes.
    9. mode=cubic, coordinate_transformation_mode=half_pixel, cubic_coeff_a=-0.5, exclude_outside=1, can use scales(*) or sizes.
    10. mode=nearest, coordinate_transformation_mode=tf_crop_and_resize, extrapolation_value=any_float_value, nearest_mode=round_prefer_ceil, can use scales or sizes.
    11. mode=linear, coordinate_transformation_mode=tf_crop_and_resize, extrapolation_value=any_float_value, can use scales or sizes.
    • Note (*): The accuracy of your model will go down, if the height and the width of the new sizes(scales * origial sizes) are not in whole numbers.
  12. RoiAlign: sampling_ratio <= 0 is not fully supported.
  13. SplitToSequence: Scalar as the split input not supported.
  14. Upsample: Upsample required 4D input in Tensorflow.