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Site Navigation

  • Installation
  • Tutorial
  • API
  • ONNX, Runtime, Backends
  • scikit-learn Converters and Benchmarks
  • Command lines
  • Examples
  • FAQ, code, …
  • Gallery of examples
  • Notebook Gallery
  • History

Section Navigation

  • ONNX operators
    • Abs
    • Acos
    • Acosh
    • Add
    • And
    • ArgMax
    • ArgMin
    • Asin
    • Asinh
    • Atan
    • Atanh
    • AveragePool
    • BatchNormalization
    • Bernoulli
    • BitShift
    • BitwiseAnd
    • BitwiseNot
    • BitwiseOr
    • BitwiseXor
    • BlackmanWindow
    • Cast
    • CastLike
    • Ceil
    • Celu
    • CenterCropPad
    • Clip
    • Col2Im
    • Compress
    • Concat
    • ConcatFromSequence
    • Constant
    • ConstantOfShape
    • Conv
    • ConvInteger
    • ConvTranspose
    • Cos
    • Cosh
    • CumSum
    • DFT
    • DepthToSpace
    • DequantizeLinear
    • Det
    • Div
    • Dropout
    • DynamicQuantizeLinear
    • Einsum
    • Elu
    • Equal
    • Erf
    • Exp
    • Expand
    • EyeLike
    • Flatten
    • Floor
    • GRU
    • Gather
    • GatherElements
    • GatherND
    • Gemm
    • GlobalAveragePool
    • GlobalLpPool
    • GlobalMaxPool
    • Greater
    • GreaterOrEqual
    • GridSample
    • GroupNormalization
    • HammingWindow
    • HannWindow
    • HardSigmoid
    • HardSwish
    • Hardmax
    • Identity
    • If
    • InstanceNormalization
    • IsInf
    • IsNaN
    • LRN
    • LSTM
    • LayerNormalization
    • LeakyRelu
    • Less
    • LessOrEqual
    • Log
    • LogSoftmax
    • Loop
    • LpNormalization
    • LpPool
    • MatMul
    • MatMulInteger
    • Max
    • MaxPool
    • MaxRoiPool
    • MaxUnpool
    • Mean
    • MeanVarianceNormalization
    • MelWeightMatrix
    • Min
    • Mish
    • Mod
    • Mul
    • Multinomial
    • Neg
    • NegativeLogLikelihoodLoss
    • NonMaxSuppression
    • NonZero
    • Not
    • OneHot
    • Optional
    • OptionalGetElement
    • OptionalHasElement
    • Or
    • PRelu
    • Pad
    • Pow
    • QLinearConv
    • QLinearMatMul
    • QuantizeLinear
    • RNN
    • RandomNormal
    • RandomNormalLike
    • RandomUniform
    • RandomUniformLike
    • Range
    • Reciprocal
    • ReduceL1
    • ReduceL2
    • ReduceLogSum
    • ReduceLogSumExp
    • ReduceMax
    • ReduceMean
    • ReduceMin
    • ReduceProd
    • ReduceSum
    • ReduceSumSquare
    • Relu
    • Reshape
    • Resize
    • ReverseSequence
    • RoiAlign
    • Round
    • STFT
    • Scan
    • Scatter
    • ScatterElements
    • ScatterND
    • Selu
    • SequenceAt
    • SequenceConstruct
    • SequenceEmpty
    • SequenceErase
    • SequenceInsert
    • SequenceLength
    • SequenceMap
    • Shape
    • Shrink
    • Sigmoid
    • Sign
    • Sin
    • Sinh
    • Size
    • Slice
    • Softmax
    • SoftmaxCrossEntropyLoss
    • Softplus
    • Softsign
    • SpaceToDepth
    • Split
    • SplitToSequence
    • Sqrt
    • Squeeze
    • StringNormalizer
    • Sub
    • Sum
    • Tan
    • Tanh
    • TfIdfVectorizer
    • ThresholdedRelu
    • Tile
    • TopK
    • Transpose
    • Trilu
    • Unique
    • Unsqueeze
    • Upsample
    • Where
    • Xor
    • ai.onnx.ml - ArrayFeatureExtractor
    • ai.onnx.ml - Binarizer
    • ai.onnx.ml - CastMap
    • ai.onnx.ml - CategoryMapper
    • ai.onnx.ml - DictVectorizer
    • ai.onnx.ml - FeatureVectorizer
    • ai.onnx.ml - Imputer
    • ai.onnx.ml - LabelEncoder
    • ai.onnx.ml - LinearClassifier
    • ai.onnx.ml - LinearRegressor
    • ai.onnx.ml - Normalizer
    • ai.onnx.ml - OneHotEncoder
    • ai.onnx.ml - SVMClassifier
    • ai.onnx.ml - SVMRegressor
    • ai.onnx.ml - Scaler
    • ai.onnx.ml - TreeEnsembleClassifier
    • ai.onnx.ml - TreeEnsembleRegressor
    • ai.onnx.ml - ZipMap
    • ai.onnx.preview.training - Adagrad
    • ai.onnx.preview.training - Adam
    • ai.onnx.preview.training - Gradient
    • ai.onnx.preview.training - Momentum
    • com.microsoft - AdamOptimizer
    • com.microsoft - AdamWOptimizer
    • com.microsoft - AdasumAllReduce
    • com.microsoft - All
    • com.microsoft - Attention
    • com.microsoft - AttnLSTM
    • com.microsoft - BatchNormInternal
    • com.microsoft - BatchNormalizationGrad
    • com.microsoft - BeamSearch
    • com.microsoft - BiasDropout
    • com.microsoft - BiasFastGeluGrad_dX
    • com.microsoft - BiasGelu
    • com.microsoft - BiasGeluGrad_dX
    • com.microsoft - BiasSoftmax
    • com.microsoft - BifurcationDetector
    • com.microsoft - BitmaskBiasDropout
    • com.microsoft - BitmaskDropout
    • com.microsoft - BitmaskDropoutGrad
    • com.microsoft - BroadcastGradientArgs
    • com.microsoft - CDist
    • com.microsoft - ComplexMul
    • com.microsoft - ComplexMulConj
    • com.microsoft - ConcatTraining
    • com.microsoft - ConvGrad
    • com.microsoft - ConvTransposeWithDynamicPads
    • com.microsoft - CropAndResize
    • com.microsoft - DecoderAttention
    • com.microsoft - DequantizeLinear
    • com.microsoft - DivGrad
    • com.microsoft - DropoutGrad
    • com.microsoft - DynamicQuantizeLSTM
    • com.microsoft - DynamicQuantizeMatMul
    • com.microsoft - EmbedLayerNormalization
    • com.microsoft - ExpandDims
    • com.microsoft - FastGelu
    • com.microsoft - FastGeluGrad
    • com.microsoft - FusedConv
    • com.microsoft - FusedGemm
    • com.microsoft - FusedMatMul
    • com.microsoft - GatherElementsGrad
    • com.microsoft - GatherGrad
    • com.microsoft - GatherND
    • com.microsoft - GatherNDGrad
    • com.microsoft - Gelu
    • com.microsoft - GeluGrad
    • com.microsoft - GistBinarizeDecoder
    • com.microsoft - GistBinarizeEncoder
    • com.microsoft - GistPack16Decoder
    • com.microsoft - GistPack16Encoder
    • com.microsoft - GistPack1Decoder
    • com.microsoft - GistPack1Encoder
    • com.microsoft - GistPack8Decoder
    • com.microsoft - GistPack8Encoder
    • com.microsoft - GistPackMsfp15Decoder
    • com.microsoft - GistPackMsfp15Encoder
    • com.microsoft - GridSample
    • com.microsoft - Group
    • com.microsoft - InPlaceAccumulator
    • com.microsoft - Inverse
    • com.microsoft - InvertibleLayerNormalizationGrad
    • com.microsoft - Irfft
    • com.microsoft - IsAllFinite
    • com.microsoft - IsFinite
    • com.microsoft - LambOptimizer
    • com.microsoft - LayerNormalizationGrad
    • com.microsoft - LogSoftmaxGrad
    • com.microsoft - LogSoftmaxGrad_13
    • com.microsoft - LongformerAttention
    • com.microsoft - MatMulInteger16
    • com.microsoft - MatMulIntegerToFloat
    • com.microsoft - MaxpoolWithMask
    • com.microsoft - MegatronF
    • com.microsoft - MegatronG
    • com.microsoft - MixedPrecisionScale
    • com.microsoft - MulInteger
    • com.microsoft - MurmurHash3
    • com.microsoft - NGramRepeatBlock
    • com.microsoft - NcclAllGather
    • com.microsoft - NcclAllReduce
    • com.microsoft - NcclReduceScatter
    • com.microsoft - NegativeLogLikelihoodLossInternal
    • com.microsoft - NegativeLogLikelihoodLossInternal2
    • com.microsoft - NhwcConv
    • com.microsoft - NhwcMaxPool
    • com.microsoft - Pad
    • com.microsoft - PassThrough
    • com.microsoft - PythonOp
    • com.microsoft - PythonOpGrad
    • com.microsoft - QAttention
    • com.microsoft - QEmbedLayerNormalization
    • com.microsoft - QGemm
    • com.microsoft - QLinearAdd
    • com.microsoft - QLinearAveragePool
    • com.microsoft - QLinearConcat
    • com.microsoft - QLinearConv
    • com.microsoft - QLinearGlobalAveragePool
    • com.microsoft - QLinearLeakyRelu
    • com.microsoft - QLinearMul
    • com.microsoft - QLinearReduceMean
    • com.microsoft - QLinearSigmoid
    • com.microsoft - QuantizeLinear
    • com.microsoft - Range
    • com.microsoft - RecordEvent
    • com.microsoft - Recv
    • com.microsoft - ReduceAllL2
    • com.microsoft - ReduceSumInteger
    • com.microsoft - ReduceSumTraining
    • com.microsoft - ReluGrad
    • com.microsoft - Rfft
    • com.microsoft - SGDOptimizer
    • com.microsoft - SampleOp
    • com.microsoft - Scale
    • com.microsoft - Send
    • com.microsoft - SigmoidGrad
    • com.microsoft - SimplifiedLayerNormalizationGrad
    • com.microsoft - SkipLayerNormalization
    • com.microsoft - SliceGrad
    • com.microsoft - Snpe
    • com.microsoft - SoftmaxCrossEntropy
    • com.microsoft - SoftmaxCrossEntropyGrad
    • com.microsoft - SoftmaxCrossEntropyLossGrad
    • com.microsoft - SoftmaxCrossEntropyLossInternal
    • com.microsoft - SoftmaxCrossEntropyLossInternalGrad
    • com.microsoft - SoftmaxGrad
    • com.microsoft - SoftmaxGrad_13
    • com.microsoft - SparseToDenseMatMul
    • com.microsoft - SplitTraining
    • com.microsoft - SummaryHistogram
    • com.microsoft - SummaryMerge
    • com.microsoft - SummaryScalar
    • com.microsoft - SummaryText
    • com.microsoft - TanhGrad
    • com.microsoft - Tokenizer
    • com.microsoft - TorchEmbedding
    • com.microsoft - TransposeMatMul
    • com.microsoft - Trilu
    • com.microsoft - Unique
    • com.microsoft - View
    • com.microsoft - WaitEvent
    • com.microsoft - WordConvEmbedding
    • com.microsoft - YieldOp
    • com.microsoft - ZeroGradient
    • com.microsoft.nchwc - AveragePool
    • com.microsoft.nchwc - Conv
    • com.microsoft.nchwc - GlobalAveragePool
    • com.microsoft.nchwc - GlobalMaxPool
    • com.microsoft.nchwc - MaxPool
    • com.microsoft.nchwc - ReorderInput
    • com.microsoft.nchwc - ReorderOutput
    • com.microsoft.nchwc - Upsample
    • com.ms.internal.nhwc - Conv
    • com.ms.internal.nhwc - MaxPool
    • org.pytorch.aten - ATen
    • operator table for domain main
    • operator table for domain ai.onnx.ml
    • operator table for domain ai.onnx.preview.training
    • operator table for domain com.microsoft
    • operator table for domain com.microsoft.nchwc
    • operator table for domain com.ms.internal.nhwc
    • operator table for domain org.pytorch.aten
  • Runtimes for ONNX
  • ONNX Backends

com.microsoft.nchwc - ReorderInput#

  • ReorderInput - 1 (com.microsoft.nchwc)

ReorderInput - 1 (com.microsoft.nchwc)#

Version

  • name: ReorderInput (GitHub)

  • domain: com.microsoft.nchwc

  • since_version: 1

  • function:

  • support_level:

  • shape inference:

This version of the operator has been available since version 1 of domain com.microsoft.nchwc.

Summary

For internal use.

Attributes

  • channels_last:

Default value is ?.

Inputs

  • X (heterogeneous) - T:

Outputs

  • Y (heterogeneous) - T:

Examples

previous

com.microsoft.nchwc - MaxPool

next

com.microsoft.nchwc - ReorderOutput

On this page
  • ReorderInput - 1 (com.microsoft.nchwc)

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