masahi opened a new pull request, #13341:
URL: https://github.com/apache/tvm/pull/13341

   Fixes the issue reported in 
https://discuss.tvm.apache.org/t/model-compilation-fails-on-gpu-target/13866
   
   For certain `conv2d_transpose` workloads, we get funny allocations like
   ```
    allocate data_pad[float32 * ((floordiv(((blockIdx.y*2) + 1), 3)*4608) + 
576)], storage_scope = shared
    allocate p1.shared[float32 * ((floordiv(((blockIdx.y*2) + 1), 3)*12288) + 
1536)], storage_scope = shared
   ```
   
   This is apparently due to trying to split a small channel by a large factor. 
   
   cc @vinx13 


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