18400c318402676d51533676d7862fbbe0df616f,kornia/filters/filter.py,,filter2D,#Any#Any#Any#Any#,23

Before Change

    // prepare kernel
    b, c, h, w = input.shape
    tmp_kernel: torch.Tensor = kernel.unsqueeze(0).to(input.device).to(input.dtype)
    if normalized:
        tmp_kernel = normalize_kernel2d(tmp_kernel)
    // pad the input tensor
    height, width = tmp_kernel.shape[-2:]

After Change

    // prepare kernel
    b, c, h, w = input.shape
    tmp_kernel: torch.Tensor = kernel[None].type_as(input)

    if normalized:
        tmp_kernel = normalize_kernel2d(tmp_kernel)

Instances