ApplyAdagrad
ApplyAdamWQuant
ApplyCamePart1
InplaceApplyRMSProp
ArgMaxGrad
BatchNorm3D
BatchNorm3DGrad
BatchNormExt2
BatchNormGradExt2
Bias
BN3DTrainingReduce
BN3DTrainingUpdate
BNInfer
BNTrainingUpdateV2
BNTrainingUpdateV3
ChamferDistance
CosineEmbeddingLoss
CumulativeLogsumexp
DeepNorm
DeepNormGrad
DynamicQuantUpdateScatter
DynamicQuantUpdateScatterV2
ExpSegsumGrad
FfnWorkerBatching
FusedCrossEntropyLossWithMaxSum
FusedMulAdd
FusedMulAddAdd
FusedMulAddNL2loss
GemmaRmsNorm
GridUnnormal
GroupNormSiluQuant
HardSigmoid
HardSwishGradV2
INInferV2
InplaceSub
InstanceNormGrad
INTrainingReduceV2
INTrainingUpdateGrad
L2NormalizeGrad
MoeTokenPermute
MoeTokenPermuteGrad
MSELossV2
MulNoNan
MultiAddRmsNormDynamicQuant
MultilabelMarginLoss
NonZeroWithValue
NormalizeBBox
PoissonNllLoss
RaggedBinCount
Relu6Grad
Segsum
SGD
SoftmaxFocalLoss
SoftmaxFocalLossGrad
SquareSumAll
TensorRedirect
AddV2
InplaceAdd
InplaceSub
ClippedSwiglu