Use numpy Correlate2 for Convolve1d implementation

[ricardoV94]

Description

This is what numpy.convolve uses under the hood, but we can avoid the python overhead in the C-backend: https://numpy.org/devdocs/reference/c-api/array.html#c.PyArray_Correlate2

It may make sense to actually implement everything in terms of a correlate1d and have the convolve1dbe a call oncorrelate1dwith the flipped input. Since under the hood callingnp.convolve` is doing this flip anyway.

correlate1d shows up in the gradient of convolve1d (note the [::-1] inputs)

pytensor/pytensor/tensor/signal/conv.py

Lines 68 to 71 in afb7695

	if self.mode == "full":
	valid_conv = type(self)(mode="valid")
	in1_bar = valid_conv(grad, in2[::-1])
	in2_bar = valid_conv(grad, in1[::-1])