AnyTensor Class Reference


                    
                    
                    grad

Declaration

Swift

public var grad: AnyTensor?


                    
                    
                    graph

Declaration

Swift

public var graph: DynamicGraph { get }


                    
                    
                    requiresGrad

Declaration

Swift

public var requiresGrad: Bool { get set }


                    
                    
                    init(_:)

Declaration

Swift

public required init(_ tensor: AnyTensor)


                    
                    
                    dimensions

Declaration

Swift

public var dimensions: [Int] { get }


                    
                    
                    kind

Declaration

Swift

public var kind: DeviceKind { get }


                    
                    
                    format

Declaration

Swift

public var format: TensorFormat { get }


                    
                    
                    increments

Declaration

Swift

public var increments: [Int] { get }


                    
                    
                    isConstant

A constant tensor can only be used as input, you cannot compute gradients for a constant tensor.

Declaration

Swift

public var isConstant: Bool { get }


                    
                    
                    backward(to:streamContext:)

Compute gradients from this tensor to the source tensors.

Declaration

Swift

public func backward<S: Sequence>(to tensors: S, streamContext: StreamContext? = nil)
where S.Element: DynamicGraph.AnyTensor

Parameters

`to`	The source tensors to this tensor.
`streamContext`	The stream context to perform such operation.


                    
                    
                    backward(to:streamContext:)

Compute gradients from this tensor to the source tensor.

Declaration

Swift

public func backward(to tensor: DynamicGraph.AnyTensor, streamContext: StreamContext? = nil)

Parameters

`to`	The source tensor to this tensor.
`streamContext`	The stream context to perform such operation.


                    
                    
                    reshaped(format:dimensions:offset:increments:)

Declaration

Swift

public func reshaped(
  format: TensorFormat, dimensions: [Int], offset: [Int]? = nil, increments: [Int]? = nil
) -> Self


                    
                    
                    reshaped(_:offset:increments:)

Create a new tensor representing the same variable but with different sizes.

Declaration

Swift

public func reshaped(
  _ dimensionFormat: TensorDimensionFormat, offset: [Int]? = nil, increments: [Int]? = nil
) -> Self

Parameters

`dimensionFormat`	New format and dimensions for the tensor.
`offset`	Whether offset on each dimensions.
`increments`	The step on each dimensions.

Return Value

The new tensor with different format but the same underlying variable.


                    
                    
                    description

Declaration

Swift

public var description: String { get }


                    
                    
                    downcasting(from:)

Declaration

Swift

public static func downcasting(from: DynamicGraph_Any) -> DynamicGraph_AnyTensor


                    
                    
                    AnyTensor

Declaration

Swift

public typealias AnyTensor = DynamicGraph.AnyTensor


                    
                    
                    exec(cmd:hint:inputs:outputSize:streamContext:)

Declaration

Swift

public static func exec(
  cmd: ccv_nnc_cmd_t, hint: ccv_nnc_hint_t, inputs: [AnyTensor?], outputSize: Int32,
  streamContext: StreamContext?
) -> [AnyTensor]


                    
                    
                    exec(cmd:hint:inputs:outputs:streamContext:)

Declaration

Swift

public static func exec(
  cmd: ccv_nnc_cmd_t, hint: ccv_nnc_hint_t, inputs: [AnyTensor?], outputs: [AnyTensor],
  streamContext: StreamContext?
)


                    
                    
                    evaluate(model:isTest:dataParallel:inputs:outputSize:streamContext:)

Declaration

Swift

public static func evaluate(
  model: OpaquePointer, isTest: Bool, dataParallel: inout Int?, inputs: [AnyTensor?],
  outputSize: Int32, streamContext: StreamContext?
) -> [AnyTensor]