mirtorch.linear.basics.Convolve2d

class mirtorch.linear.basics.Convolve2d(size_in: Sequence[int], weight: torch.Tensor, bias=None, stride: int = 1, padding: int = 0, dilation: int = 1)

2D cross-correlation linear map. The attributes follow the definition of torch.nn.Functional.conv2d

__init__(size_in: Sequence[int], weight: torch.Tensor, bias=None, stride: int = 1, padding: int = 0, dilation: int = 1)

Initiate the linear operator.

Methods

__init__(size_in, weight[, bias, stride, ...])	Initiate the linear operator.
adjoint(x)	Apply the adjoint operator
apply(x)	Apply the forward operator
to(*args, **kwargs)	Copy to different devices

Attributes

H	Apply the (Hermitian) transpose