-
Quick start
-
API
-
-
- Resume
- Add
- AdditiveAttention
- AlphaDropout
- Attention
- Average
- AvgPool1D
- AvgPool2D
- AvgPool3D
- BatchNormalization
- Bidirectional
- Concatenate
- Conv1D
- Conv1DTranspose
- Conv2D
- Conv2DTranspose
- Conv3D
- Conv3DTranspose
- ConvLSTM1D
- ConvLSTM2D
- ConvLSTM3D
- Cropping1D
- Cropping2D
- Cropping3D
- Dense
- DepthwiseConv2D
- Dropout
- ELU
- Embedding
- Exponential
- Flatten
- GaussianDropout
- GaussianNoise
- GELU
- GlobalAvgPool1D
- GlobalAvgPool2D
- GlobalAvgPool3D
- GlobalMaxPool1D
- GlobalMaxPool2D
- GlobalMaxPool3D
- GRU
- HardSigmoid
- Input
- LayerNormalization
- LeakyReLU
- Linear
- LSTM
- MaxPool1D
- MaxPool2D
- MaxPool3D
- MultiHeadAttention
- Multiply
- Output Predict
- Output Train
- Permute3D
- PReLU
- ReLU
- Reshape
- RNN
- SELU
- SeparableConv1D
- SeparableConv2D
- Sigmoid
- SimpleRNN
- SoftMax
- SoftPlus
- SoftSign
- SpatialDropout
- Split
- Substract
- Swish
- TanH
- ThresholdedReLU
- UpSampling1D
- UpSampling2D
- UpSampling3D
- ZeroPadding1D
- ZeroPadding2D
- ZeroPadding3D
- Show All Articles ( 64 ) Collapse Articles
-
-
- Abs
- Acos
- Acosh
- Add
- AffineGrid
- And
- ArgMax
- ArgMin
- Asin
- Asinh
- Atan
- Atanh
- Attention
- AttnLSTM
- AveragePool
- BatchNormalization
- Bernouilli
- BiasAdd
- BiasDropout
- BiasGelu
- BiasSoftmax
- BiasSplitGelu
- BifurcationDetector
- BitmaskBiasDropout
- BitmaskDropout
- BitShift
- BitwiseAnd
- BitwiseNot
- BitwiseOr
- BitwiseXor
- BlackmanWindow
- Cast
- CastLike
- CDist
- Ceil
- Celu
- CenterCropPad
- Clip
- Col2lm
- ComplexMul
- ComplexMulConj
- Compress
- Concat
- ConcatFromSequence
- Conv
- ConvInteger
- ConvTranspose
- ConvTransposeWithDynamicPads
- Cos
- Cosh
- CropAndResize
- CumSum
- DecoderAttention
- DecoderMaskedMultiHeadAttention
- DecoderMaskedSelfAttention
- DeformConv
- DepthToSpace
- DequantizeBFP
- DequantizeLinear
- DequantizeWithOrder
- Det
- DFT
- Div
- Dropout
- DynamicQuantizeLinear
- DynamicQuantizeLSTM
- DynamicQuantizeMatMul
- DynamicTimeWarping
- Einsum
- EmbedLayerNormalization
- EPContext
- Equal
- Erf
- Exp
- Expand
- ExpandDims
- EyeLike
- FastGelu
- Flatten
- Floor
- FusedConv
- FusedGemm
- FusedMatMul
- FusedMatMulActivation
- GatedRelativePositionBias
- Gather
- GatherElements
- GatherND
- Gemm
- GemmaRotaryEmbedding
- GemmFastGelu
- GemmFloat8
- GlobalAveragePool
- GlobalLpPool
- GlobalMaxPool
- Greater
- GreaterOrEqual
- GreedySearch
- GridSample
- GroupNorm
- GroupQueryAttention
- GRU
- HammingWindow
- HannWindow
- HardMax
- HardSwish
- Identity
- If
- ImageDecoder
- InstanceNormalization
- Inverse
- lrfft
- lslnf
- lsNaN
- LayerNormalization
- Less
- LessOrEqual
- Log
- LogSoftmax
- LongformerAttention
- Loop
- LpNormalization
- LpPool
- LRN
- LSTM
- MatMul
- MatMulBnb4
- MatMulFpQ4
- MatMulInteger
- MatMulInteger16
- MatMulIntergerToFloat
- MatMulNBits
- Max
- MaxPool
- MaxPoolWithMask
- MaxRoiPool
- MaxUnPool
- Mean
- MeanVarianceNormalization
- MelWeightMatrix
- MicrosoftDequantizeLinear
- MicrosoftGatherND
- MicrosoftGelu
- MicrosoftGridSample
- MicrosoftMultiHeadAttention
- MicrosoftPad
- MicrosoftQLinearConv
- MicrosoftQuantizeLinear
- MicrosoftRange
- MicrosoftTrilu
- MicrosoftUnique
- Min
- Mish
- Mod
- MoE
- Mul
- MulInteger
- Multinomial
- MurmurHash3
- Neg
- NegativeLogLikelihoodLoss
- NGramRepeatBlock
- NhwcConv
- NhwcFusedConv
- NhwcMaxPool
- NonMaxSuppression
- NonZero
- Not
- OneHot
- OptionalGetElement
- OptionalHasElement
- Or
- PackedAttention
- PackedMultiHeadAttention
- Pad
- Pow
- PRelu
- QAttention
- QGemm
- QLinearAdd
- QLinearAveragePool
- QLinearConcat
- QLinearConv
- QLinearGlobalAveragePool
- QLinearLeakyRelu
- QLinearMatMul
- QLinearMul
- QLinearReduceMean
- QLinearSigmoid
- QLinearSoftmax
- QLinearWhere
- QMoE
- QOrderedAttention
- QOrderedGelu
- QOrderedLayerNormalization
- QOrderedLongformerAttention
- QOrderedMatMul
- QuantizeBFP
- QuantizeLinear
- QuantizeWithOrder
- QuickGelu
- RandomNormal
- RandomNormalLike
- RandomUniform
- RandomUniformLike
- Range
- Reciprocal
- ReduceL1
- ReduceL2
- ReduceLogSum
- ReduceLogSumExp
- ReduceMax
- ReduceMean
- ReduceMin
- ReduceProd
- ReduceSum
- ReduceSumInteger
- ReduceSumSquare
- RegexFullMatch
- RelativePositionBias
- RemovePadding
- Reshape
- Resize
- RestorePadding
- ReverseSequence
- Show All Articles ( 210 ) Collapse Articles
-
-
-
-
-
- Resume
- Constant
- GlorotNormal
- GlorotUniform
- HeNormal
- HeUniform
- Identity
- LecunNormal
- LecunUniform
- Ones
- Orthogonal
- RandomNormal
- RandomUnifom
- TruncatedNormal
- VarianceScaling
- Zeros
- Show All Articles ( 1 ) Collapse Articles
-
- Resume
- BinaryCrossentropy
- CategoricalCrossentropy
- CategoricalHinge
- CosineSimilarity
- Hinge
- Huber
- KLDivergence
- LogCosh
- MeanAbsoluteError
- MeanAbsolutePercentageError
- MeanSquaredError
- MeanSquaredLogarithmicError
- Poisson
- SquaredHinge
- Custom
- Show All Articles ( 1 ) Collapse Articles
-
-
-
-
-
- Dense
- PReLU 2D
- PReLU 3D
- PReLU 4D
- PReLU 5D
- AdditiveAttention
- Attention
- MutiHeadAttention
- Conv1D
- Conv2D
- Conv3D
- ConvLSTM1D
- ConvLSTM2D
- ConvLSTM3D
- Conv1DTranspose
- Conv2DTranspose
- Conv3DTranspose
- DepthwiseConv2D
- SeparableConv1D
- SeparableConv2D
- Embedding
- BatchNormalization
- LayerNormalization
- Bidirectional
- GRU
- LSTM
- SimpleRNN
- Show All Articles ( 12 ) Collapse Articles
-
- Dense
- PReLU 2D
- PReLU 3D
- PReLU 4D
- PReLU 5D
- AdditiveAttention
- Attention
- MultiHeadAttention
- Conv1D
- Conv2D
- Conv3D
- ConvLSTM1D
- ConvLSTM2D
- ConvLSTM3D
- Conv1DTranspose
- Conv2DTranspose
- Conv3DTranspose
- DepthwiseConv2D
- SeparableConv1D
- SeparableConv2D
- Embedding
- BatchNormalization
- LayerNormalization
- Bidirectional
- GRU
- LSTM
- SimpleRNN
- Show All Articles ( 12 ) Collapse Articles
-
-
- Resume
- Dense
- AdditiveAttention
- Attention
- MultiHeadAttention
- BatchNormalization
- LayerNormalization
- Bidirectional
- GRU
- LSTM
- SimpleRNN
- Conv1D
- Conv2D
- Conv3D
- Conv1DTranspose
- Conv2DTranspose
- Conv3DTranspose
- ConvLSTM1D
- ConvLSTM2D
- ConvLSTM3D
- DepthwiseConv2D
- SeparableConv1D
- SeparableConv2D
- Embedding
- PReLU 2D
- PReLU 3D
- PReLU 4D
- PReLU 5D
- Show All Articles ( 13 ) Collapse Articles
-
-
- Dense
- Embedding
- AdditiveAttention
- Attention
- MultiHeadAttention
- Conv1D
- Conv2D
- Conv3D
- ConvLSTM1D
- ConvLSTM2D
- ConvLSTM3D
- Conv1DTranspose
- Conv2DTranspose
- Conv3DTranspose
- DepthwiseConv2D
- SeparableConv1D
- SeparableConv2D
- BatchNormalization
- LayerNormalization
- PReLU 2D
- PReLU 3D
- PReLU 4D
- PReLU 5D
- Bidirectional
- GRU
- LSTM
- RNN (GRU)
- RNN (LSTM)
- RNN (SimpleRNN)
- SimpleRNN
- Show All Articles ( 15 ) Collapse Articles
-
- Dense
- Embedding
- AdditiveAttention
- Attention
- MultiHeadAttention
- Conv1D
- Conv2D
- Conv3D
- ConvLSTM1D
- ConvLSTM2D
- ConvLSTM3D
- Conv1DTranspose
- Conv2DTranspose
- Conv3DTranspose
- DepthwiseConv2D
- SeparableConv1D
- SeparableConv2D
- BatchNormalization
- LayerNormalization
- PReLU 2D
- PReLU 3D
- PReLU 4D
- PReLU 5D
- Bidirectional
- GRU
- LSTM
- RNN (GRU)
- RNN (LSTM)
- RNN (SimpleRNN)
- SimpleRNN
- Show All Articles ( 15 ) Collapse Articles
-
-
-
- Dense
- Embedding
- AdditiveAttention
- Attention
- MultiHeadAttention
- Conv1D
- Conv2D
- Conv3D
- ConvLSTM1D
- ConvLSTM2D
- ConvLSTM3D
- Conv1DTranspose
- Conv2DTranspose
- Conv3DTranspose
- DepthwiseConv2D
- SeparableConv1D
- SeparableConv2D
- BatchNormalization
- LayerNormalization
- PReLU 2D
- PReLU 3D
- PReLU 4D
- PReLU 5D
- Bidirectional
- GRU
- LSTM
- RNN (GRU)
- RNN (LSTM)
- RNN (SimpleRNN)
- SimpleRNN
- Show All Articles ( 15 ) Collapse Articles
-
- Dense
- Embedding
- AdditiveAttention
- Attention
- MultiHeadAttention
- Conv1D
- Conv2D
- Conv3D
- ConvLSTM1D
- ConvLSTM2D
- ConvLSTM3D
- Conv1DTranspose
- Conv2DTranspose
- Conv3DTranspose
- DepthwiseConv2D
- SeparableConv1D
- SeparableConv2D
- BatchNormalization
- LayerNormalization
- PReLU 2D
- PReLU 3D
- PReLU 4D
- PReLU 5D
- Bidirectional
- GRU
- LSTM
- RNN (GRU)
- RNN (LSTM)
- RNN (SimpleRNN)
- SimpleRNN
- Show All Articles ( 15 ) Collapse Articles
-
-
- Resume
- Accuracy
- BinaryAccuracy
- BinaryCrossentropy
- BinaryIoU
- CategoricalAccuracy
- CategoricalCrossentropy
- CategoricalHinge
- CosineSimilarity
- FalseNegatives
- FalsePositives
- Hinge
- Huber
- IoU
- KLDivergence
- LogCoshError
- Mean
- MeanAbsoluteError
- MeanAbsolutePercentageError
- MeanIoU
- MeanRelativeError
- MeanSquaredError
- MeanSquaredLogarithmicError
- MeanTensor
- OneHotIoU
- OneHotMeanIoU
- Poisson
- Precision
- PrecisionAtRecall
- Recall
- RecallAtPrecision
- RootMeanSquaredError
- SensitivityAtSpecificity
- SparseCategoricalAccuracy
- SparseCategoricalCrossentropy
- SparseTopKCategoricalAccuracy
- Specificity
- SpecificityAtSensitivity
- SquaredHinge
- Sum
- TopKCategoricalAccuracy
- TrueNegatives
- TruePositives
- Show All Articles ( 28 ) Collapse Articles
-
-
Convert ONNX To TF SavedModel
Description
This VI transforms a .onnx file into a TensorFlow model using the standard SavedModel directory structure. This format is compatible with TensorFlow Serving and allows easy integration into TensorFlow-based pipelines.

Input parameters
Open Netron : boolean, indicating whether to automatically open the resulting ONNX file in Netron after conversion. If true opens in Netron else conversion only.
ONNX Model Path : path, path to the ONNX model file (
.onnx
) to convert. Must contain a valid ONNX graph. TF Model Folder Path : path, destination directory where the converted TensorFlow model will be saved. A new folder will be created (if it doesn’t already exist) containing the standard
SavedModel
format (saved_model.pb
, variables, etc.).
Output parameters
standard output : string, text output from the underlying Python process. Can include logs, conversion info, or warnings.
standard error : string, text output capturing any error messages from the Python process, useful for debugging failed conversions.