onnx-scala/org.emergentorder.onnx/MaxPoolV12

MaxPoolV12

trait MaxPoolV12 extends Operator
trait Operator
class Object
trait Matchable
class Any

Value members

Concrete methods

def MaxPoolV12[@specialized T <: Float16 | Float | Double | Byte | UByte : Numeric, @specialized I <: Long : Numeric, Tt <: TensorTypeDenotation, Td <: TensorShapeDenotation, S <: Dimension #: Dimension #: Dimension #: Dimension #: SNil, Tt1 <: TensorTypeDenotation, Td1 <: TensorShapeDenotation, S1 <: Dimension #: Dimension #: SNil, PadsBefore <: None.type | Dimension #: Dimension #: SNil, PadsAfter <: None.type | Dimension #: Dimension #: SNil](name: String, auto_pad: String, ceil_mode: Int, dilations: Option[Array[Int]], kernel_shape: S1, padsBefore: PadsBefore, padsAfter: PadsAfter, storage_order: Int, strides: Option[Array[Int]], X: Tensor[T, (Tt, Td, S)])(implicit evidence$33: Numeric[T], evidence$34: Numeric[I], tt: ValueOf[Tt1], td: TensorShapeDenotationOf[Td1], s: ShapeOf[PaddedShape[PoolShape[S, S1], PadsBefore, PadsAfter]], s1: ShapeOf[S1]): Tensor[T, (Tt1, Td1, PaddedShape[PoolShape[S, S1], PadsBefore, PadsAfter])]

Inherited methods

def callOp[T <: Supported, Tt <: TensorTypeDenotation, Td <: TensorShapeDenotation, S <: Shape](name: String, opName: String, inputs: Tuple, attrs: Map[String, Any])(using tt: ValueOf[Tt], td: TensorShapeDenotationOf[Td], s: ShapeOf[S]): Tensor[T, (Tt, Td, S)]
Inherited from:
Operator