`pool_2d` and `conv` from `pytensor.tensor.nnet` deprecated no documentation.

Description

Hi I knew using pytensor I had a code that was implemented using the old version of pytensor but now pytensor.tensor.nnet and pytensor.tensor.signal does not exits anymore I checked the documentation but it very old and it is based on a on Theano and I can't make this code to work could you please tell me that are the new submodules for pool_2d and conv

from pytensor.tensor.nnet import conv
from pytensor.tensor.signal.pool import pool_2d

#### Define layer types

class ConvPoolLayer(object):
    """Used to create a combination of a convolutional and a max-pooling
    layer.  A more sophisticated implementation would separate the
    two, but for our purposes we'll always use them together, and it
    simplifies the code, so it makes sense to combine them.

    """
# ... rest of the class

    def set_inpt(self, inpt, inpt_dropout, mini_batch_size):
        self.inpt = inpt.reshape(self.image_shape)
        conv_out = conv.conv2d(input=self.inpt, filters=self.w, filter_shape=self.filter_shape, image_shape=self.image_shape)
        pooled_out = pool_2d(input=conv_out, ws=self.poolsize, ignore_border=True)
        self.output = self.activation_fn(
            pooled_out + self.b.dimshuffle('x', 0, 'x', 'x'))
        self.output_dropout = self.output # no dropout in the convolutional layers

This are the two calls the code does to the deprecated and old submodules:

conv_out = conv.conv2d(input=self.inpt, filters=self.w, filter_shape=self.filter_shape, image_shape=self.image_shape)
pooled_out = pool_2d(input=conv_out, ws=self.poolsize, ignore_border=True)

Start with the issue's pytensor.tensor.nnet and pytensor.tensor.signal entry points and verify which current APIs replace conv and pool_2d. Update the relevant documentation with migration guidance for the two shown calls; done when users can identify supported imports and adapt this example without relying on the old Theano-based documentation.