Hi, I notice that LSTM is implemented repeatedly for every front-end(Keras, ONNX, etc) and the implementations look similar to each other. I'm just wondering if we can make LSTM an Op in relay, or at least use unified implementation across different front-ends? I understand that different front-end may have slightly different schema definition for LSTM, but ONNX has managed to provide a LSTM Op, so I think it's reasonable to do so. And it's the same for other high level but popular Ops like GRU, Attension, etc. I'm relatively new to TVM, hope I don't misunderstand the codes...
Thanks --- [Visit Topic](https://discuss.tvm.ai/t/why-lstm-is-implemented-repeatedly-for-every-front-end/6737/1) 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/74f071589d21edbff5c75d2277c6409aa0dccdd11059ea9b9a0e38fb1ac8361e).
