.. _libdoc_tensor_signal_conv:

======================================================
:mod:`conv` -- Convolution
======================================================

.. note::

    Two similar implementation exists for conv2d:

        :func:`signal.conv2d <aesara.tensor.signal.conv.conv2d>` and
        :func:`nnet.conv2d <aesara.tensor.nnet.conv.conv2d>`.

    The former implements a traditional
    2D convolution, while the latter implements the convolutional layers
    present in convolutional neural networks (where filters are 3D and pool
    over several input channels).

.. module:: conv
   :platform: Unix, Windows
   :synopsis: ops for performing convolutions
.. moduleauthor:: LISA

.. autofunction:: aesara.tensor.signal.conv.conv2d

.. function:: fft(*todo)

    [James has some code for this, but hasn't gotten it into the source tree yet.]
