# Custom Conv2d Operation

**URL:** <https://discuss.pytorch.org/t/custom-conv2d-operation/90003>\
**Category:** vision\
**Created:** [July 21, 2020, 8:53am UTC](https://discuss.pytorch.org/t/custom-conv2d-operation/90003 "2020-07-21T08:53:45Z")\
**Posts on this page:** 1\
**Showing post:** 2

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**Author:** ![ptrblck](https://discuss.pytorch.org/user_avatar/discuss.pytorch.org/ptrblck/32/1823_2.png) [@ptrblck](https://discuss.pytorch.org/u/ptrblck)\
**Post date:** [July 23, 2020, 6:17am UTC](https://discuss.pytorch.org/t/custom-conv2d-operation/90003/2 "2020-07-23T06:17:10Z")

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You could use `unfold` for your custom convolution (which might be slow) as described [here](https://discuss.pytorch.org/t/custom-nn-conv2d/62068/2).

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