ONE - On-device Neural Engine
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mir::ops Namespace Reference

Data Structures

class  AbsOp
 
class  AddOp
 
class  AvgPool2DOp
 
class  BinaryElementwiseOp
 
class  BroadcastOp
 
class  CappedReluOp
 
class  ConcatOp
 Description of tensor concatenation operation. More...
 
class  ConstantOp
 
class  Conv2DOp
 
class  DeConv2DOp
 
class  DepthwiseConv2DOp
 
class  DequantizeOp
 
class  DivOp
 
class  EluOp
 
class  EqualOp
 
class  FullyConnectedOp
 
class  GatherOp
 Gather operation as defined by ONNX spec. https://github.com/onnx/onnx/blob/master/docs/Operators.md#Gather https://www.tensorflow.org/api_docs/python/tf/gather. More...
 
class  GreaterOp
 
class  HardSwishOp
 
class  InputOp
 
class  LeakyReluOp
 
class  LessOp
 
class  MaxOp
 
class  MaxPool2DOp
 
class  MulOp
 
class  OutputOp
 
class  PadOp
 
class  QuantizeOp
 
class  ReduceMeanOp
 
class  ReduceOp
 
class  ReluOp
 
class  ReshapeOp
 
class  ResizeOp
 Resize operation scales are such that output = input * scale for each dimension and the number of dimensions matches. More...
 
class  SigmoidOp
 
class  SliceOp
 
class  SoftmaxOp
 description of softmax operation. More...
 
class  SqrtOp
 
class  SqueezeOp
 
class  SubOp
 
class  TanhOp
 
class  TransposeOp
 Tensor transpose operation. More...
 

Enumerations

enum class  PaddingType { Explicit , Valid , SameLower , SameUpper }
 

Enumeration Type Documentation

◆ PaddingType

enum class mir::ops::PaddingType
strong
Enumerator
Explicit 
Valid 
SameLower 
SameUpper 

Definition at line 26 of file PaddingType.h.