Lyken17 opened a new pull request #8799:
URL: https://github.com/apache/tvm/pull/8799


   As mentioned in https://github.com/apache/tvm/issues/8182, `TranposedConv2d` 
is an important operator in GAN related applications and `groups` should also 
be supported for this operator.  This PR was set to implement this missing 
feature. 
   
   However, there are parts I am still confusing
   
   * Which names should be used for the topi function? 
     In topi.nn.conv2d, there are `data, kernel, strides, padding, out_dtype, 
output_padding` as well as `Input, Filter, strides, padding, out_dtype, 
output_padding`, which one should be used for newly added function?
   * Should we add a new function, or extend existing ones? 
     In most DL frameoworks (e.g., PyTorch), `conv2d` is a unified function 
with support of various arguments such as padding, dilation, groups. But in 
`topi`, `conv2d` (w/o groups) and `group_conv2d` are two differnet function. 
While I understand this might be important to backward compability, I would 
recommend to merge these functions for simplicty.


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