Hi all!
I'm using TVM for post training quantization and noticed that as of now, **conv2d_transpose** operations **can not be quantized** and fall back to float32. * Is there a limitation behind this or is it simply a missing feature? * If it's a missing feature, which parts of the code would I need to modify to add such support? Maybe the community experts could help to clarify these questions? @vinx13 @janimesh or @ziheng @shoubhik I would highly appreciate your response. Thank you & Best regards, Robert --- [Visit Topic](https://discuss.tvm.ai/t/quantization-add-support-for-conv2d-transpose/6413/1) to respond. You are receiving this because you enabled mailing list mode. To unsubscribe from these emails, [click here](https://discuss.tvm.ai/email/unsubscribe/f565151ccc039d62adc0bd0f54a50390285df0d7e369e3533365afc6e0ab83d7).
