* pnnx fuse more function to module

* rename some pass name

* fuse adjacent reshape, fuse pad conv2d

* fuse pad conv1d

Co-authored-by: LRY89757 <LRY89757@users.noreply.github.com>
Co-authored-by: nihuini <nihuini@tencent.com>
Co-authored-by: nihui <shuizhuyuanluo@126.com>

* Add DeformableConv2D
* add unittest and docs
* pnnx torchvision deformconv2d conversion

Co-authored-by: miemie2013 <miemie2013@users.noreply.github.com>
Co-authored-by: nihui <shuizhuyuanluo@126.com>

* convert inplace relu6, match more hardswish pattern
* upgrade requests

* insert reshape for nn.Linear with 4d/5d inputs

* batch index aware reshape, add test

* disable mkl avx/avx2 optimization for potential memory issue in dft

* bitwise and compare op

* masked_fill and gather test

* normalize einsum equation

* replace dot pair with alphabet word

* shorten permute equation

* convert torch.bmm

* convert torch.min torch.max

* convert torch.unbind

* torch.ones torch.ones_like

* torch.full torch.full_like

* torch.randn_like

* torch.empty torch.empty_like

* fix sigmoid returns nan with very large input

* lets accept the float div vs recp error

* pnnx Tensor index

* add test