# dirac_comb_like

### deepinv.utils.dirac_comb_like(x, step)

Returns a [`deepinv.utils.TensorList`](https://deepinv.org/api/stubs/deepinv.utils.TensorList.html.md#deepinv.utils.TensorList) or [`torch.Tensor`](https://docs.pytorch.org/docs/stable/tensors.html#torch.Tensor)
with the same type as x, filled with a Dirac comb at the given step.

## Examples using `dirac_comb_like`:

<div class="sphx-glr-thumbnails">
<!-- thumbnail-parent-div-open --><div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates blind image deblurring using the pretrained kernel estimation network from the paper carbajal2023blind. The network estimates spatially-varying blur kernels from a blurred image, which are then used in a space-varying blur physics model to reconstruct the sharp image using a non-blind deblurring algorithm.">![](auto_examples/blind-inverse-problems/images/thumb/sphx_glr_demo_blind_deblurring_thumb.png)

[Blind deblurring with kernel estimation network](https://deepinv.org/auto_examples/blind-inverse-problems/demo_blind_deblurring.html.md)

  <div class="sphx-glr-thumbnail-title">Blind deblurring with kernel estimation network</div>
</div>
<!-- thumbnail-parent-div-close --></div>