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enum class | Status { Success = 0
, Failure = 1
} |
| enumeration More...
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enum class | DataType {
Float16 = 0
, Float32 = 1
, QAsymmU8 = 2
, Signed32 = 3
,
Boolean = 4
, QSymmS16 = 5
, QSymmS8 = 6
, QAsymmS8 = 7
,
BFloat16 = 8
, Signed64 = 9
} |
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enum class | DataLayout { NCHW = 1
, NHWC = 2
, NDHWC = 3
, NCDHW = 4
} |
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enum class | ProfilingDetailsMethod { Undefined = 0
, DetailsWithEvents = 1
, DetailsOnly = 2
} |
| Define the behaviour of the internal profiler when outputting network details. More...
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enum class | QosExecPriority { Low = 0
, Medium = 1
, High = 2
} |
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enum class | ActivationFunction {
Sigmoid = 0
, TanH = 1
, Linear = 2
, ReLu = 3
,
BoundedReLu = 4
, SoftReLu = 5
, LeakyReLu = 6
, Abs = 7
,
Sqrt = 8
, Square = 9
, Elu = 10
, HardSwish = 11
,
Gelu = 12
} |
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enum class | ArgMinMaxFunction { Min = 0
, Max = 1
} |
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enum class | ComparisonOperation {
Equal = 0
, Greater = 1
, GreaterOrEqual = 2
, Less = 3
,
LessOrEqual = 4
, NotEqual = 5
} |
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enum class | LogicalBinaryOperation { LogicalAnd = 0
, LogicalOr = 1
} |
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enum class | UnaryOperation {
Abs = 0
, Exp = 1
, Sqrt = 2
, Rsqrt = 3
,
Neg = 4
, LogicalNot = 5
, Log = 6
, Sin = 7
,
Ceil = 8
} |
|
enum class | BinaryOperation {
Add = 0
, Div = 1
, Maximum = 2
, Minimum = 3
,
Mul = 4
, Sub = 5
, SqDiff = 6
, Power = 7
,
FloorDiv = 8
} |
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enum class | PoolingAlgorithm { Max = 0
, Average = 1
, L2 = 2
} |
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enum class | ReduceOperation {
Sum = 0
, Max = 1
, Mean = 2
, Min = 3
,
Prod = 4
} |
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enum class | ResizeMethod { Bilinear = 0
, NearestNeighbor = 1
} |
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enum class | Dimensionality { NotSpecified = 0
, Specified = 1
, Scalar = 2
} |
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enum class | PaddingMethod { IgnoreValue = 0
, Exclude = 1
} |
| The padding method modifies the output of pooling layers. More...
|
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enum class | PaddingMode { Constant = 0
, Reflect = 1
, Symmetric = 2
} |
| The padding mode controls whether the padding should be filled with constant values (Constant), or reflect the input, either including the border values (Symmetric) or not (Reflect). More...
|
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enum class | NormalizationAlgorithmChannel { Across = 0
, Within = 1
} |
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enum class | NormalizationAlgorithmMethod { LocalBrightness = 0
, LocalContrast = 1
} |
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enum class | OutputShapeRounding { Floor = 0
, Ceiling = 1
} |
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enum class | ShapeInferenceMethod { ValidateOnly = 0
, InferAndValidate = 1
} |
| The ShapeInferenceMethod modify how the output shapes are treated. More...
|
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enum class | MemorySource : uint32_t {
Undefined = 0
, Malloc = 1
, DmaBuf = 2
, DmaBufProtected = 4
,
Gralloc = 8
} |
| Define the Memory Source to reduce copies. More...
|
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enum class | MemBlockStrategyType { SingleAxisPacking = 0
, MultiAxisPacking = 1
} |
|
enum class | FusedKernelType { AddMulAdd = 0
} |
|
enum class | BackendCapability : uint32_t { NonConstWeights
, AllOrNothing
} |
| BackendCapability class. More...
|
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enum class | LayerType {
X
, Activation
, Addition
, ArgMinMax
,
BatchNormalization
, BatchToSpaceNd
, Comparison
, Concat
,
Constant
, ConvertFp16ToFp32
, ConvertFp32ToFp16
, Convolution2d
,
Debug
, DepthToSpace
, DepthwiseConvolution2d
, Dequantize
,
DetectionPostProcess
, Division
, ElementwiseUnary
, FakeQuantization
,
Fill
, Floor
, FullyConnected
, Gather
,
Input
, InstanceNormalization
, L2Normalization
, LogicalBinary
,
LogSoftmax
, Lstm
, QLstm
, Map
,
Maximum
, Mean
, MemCopy
, MemImport
,
Merge
, Minimum
, Multiplication
, Normalization
,
Output
, Pad
, Permute
, Pooling2d
,
PreCompiled
, Prelu
, Quantize
, QuantizedLstm
,
Reshape
, Rank
, Resize
, Reduce
,
Slice
, Softmax
, SpaceToBatchNd
, SpaceToDepth
,
Splitter
, Stack
, StandIn
, StridedSlice
,
Subtraction
, Switch
, Transpose
, TransposeConvolution2d
,
Unmap
, Cast
, Shape
, UnidirectionalSequenceLstm
,
ChannelShuffle
, Convolution3d
, Pooling3d
, GatherNd
,
BatchMatMul
, ElementwiseBinary
, ReverseV2
, Tile
,
Fused
, BroadcastTo
, ScatterNd
, FirstLayer = Activation
,
LastLayer = ScatterNd
} |
| When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below. More...
|
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enum class | ScatterNdFunction {
Update = 0
, Add = 1
, Sub = 2
, Max = 3
,
Min = 4
, Mul = 5
} |
|