|
| enum | Status { Success = 0,
Failure = 1
} |
| |
| enum | DataType {
Float16 = 0,
Float32 = 1,
QAsymmU8 = 2,
Signed32 = 3,
Boolean = 4,
QSymmS16 = 5,
QSymmS8 = 6,
QAsymmS8 = 7,
BFloat16 = 8,
Signed64 = 9
} |
| |
| enum | DataLayout { NCHW = 1,
NHWC = 2,
NDHWC = 3,
NCDHW = 4
} |
| |
| enum | ProfilingDetailsMethod { Undefined = 0,
DetailsWithEvents = 1,
DetailsOnly = 2
} |
| | Define the behaviour of the internal profiler when outputting network details. More...
|
| |
| enum | QosExecPriority { Low = 0,
Medium = 1,
High = 2
} |
| |
| enum | 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
} |
| |
| enum | ArgMinMaxFunction { Min = 0,
Max = 1
} |
| |
| enum | ComparisonOperation {
Equal = 0,
Greater = 1,
GreaterOrEqual = 2,
Less = 3,
LessOrEqual = 4,
NotEqual = 5
} |
| |
| enum | LogicalBinaryOperation { LogicalAnd = 0,
LogicalOr = 1
} |
| |
| enum | UnaryOperation {
Abs = 0,
Exp = 1,
Sqrt = 2,
Rsqrt = 3,
Neg = 4,
LogicalNot = 5,
Log = 6,
Sin = 7,
Ceil = 8
} |
| |
| enum | BinaryOperation {
Add = 0,
Div = 1,
Maximum = 2,
Minimum = 3,
Mul = 4,
Sub = 5,
SqDiff = 6,
Power = 7
} |
| |
| enum | PoolingAlgorithm { Max = 0,
Average = 1,
L2 = 2
} |
| |
| enum | ReduceOperation {
Sum = 0,
Max = 1,
Mean = 2,
Min = 3,
Prod = 4
} |
| |
| enum | ResizeMethod { Bilinear = 0,
NearestNeighbor = 1
} |
| |
| enum | Dimensionality { NotSpecified = 0,
Specified = 1,
Scalar = 2
} |
| |
| enum | PaddingMethod { IgnoreValue = 0,
Exclude = 1
} |
| | The padding method modifies the output of pooling layers. More...
|
| |
| enum | 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...
|
| |
| enum | NormalizationAlgorithmChannel { Across = 0,
Within = 1
} |
| |
| enum | NormalizationAlgorithmMethod { LocalBrightness = 0,
LocalContrast = 1
} |
| |
| enum | OutputShapeRounding { Floor = 0,
Ceiling = 1
} |
| |
| enum | ShapeInferenceMethod { ValidateOnly = 0,
InferAndValidate = 1
} |
| | The ShapeInferenceMethod modify how the output shapes are treated. More...
|
| |
| enum | MemorySource : uint32_t {
Undefined = 0,
Malloc = 1,
DmaBuf = 2,
DmaBufProtected = 4,
Gralloc = 8
} |
| | Define the Memory Source to reduce copies. More...
|
| |
| enum | MemBlockStrategyType { SingleAxisPacking = 0,
MultiAxisPacking = 1
} |
| |
| enum | FusedKernelType { AddMulAdd = 0
} |
| |
| enum | BackendCapability : uint32_t { NonConstWeights,
AsyncExecution
} |
| | BackendCapability class. More...
|
| |
| enum | 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,
FirstLayer = Activation,
LastLayer = BroadcastTo
} |
| | When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below. More...
|
| |
1.8.17