@sourceacademy/torch
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    Class Conv2d

    Hierarchy

    • _ConvNd
      • Conv2d
    Index

    Constructors

    • Parameters

      • in_channels: number
      • out_channels: number
      • kernel_size: number | number[]
      • stride: number | number[] = 1
      • padding: number | number[] = 0
      • dilation: number | number[] = 1
      • groups: number = 1
      • bias: boolean = true

      Returns Conv2d

    Properties

    dilation: number | number[]
    groups: number
    in_channels: number
    kernel_size: number | number[]
    out_channels: number
    padding: number | number[]
    stride: number | number[]
    training: boolean = true

    Methods

    • Entry point for running the module. Equivalent to model(x) in Python. In the future, this is where forward hooks will be triggered. Call forward() directly to bypass hooks.

      Parameters

      Returns Tensor

    • Returns this

    • Parameters

      • mode: boolean = true

      Returns this