When running the MLP trainer we see that it is looking for hard coded 64 layers and is not able to find those layers.
We see that the files which are being looked at are - mlp_x_43.mmap which do not exist for the smaller models.
Can this hard coding be fixed ?
It will be great if you can take a look at this.
Thank you.
Hi, We are trying to train MLP layers for reproducing results for the OPT model.
We followed the instructions provided in /sparse_predictor/Readme.md.
When running the MLP trainer we see that it is looking for hard coded 64 layers and is not able to find those layers. We see that the files which are being looked at are -
mlp_x_43.mmap
which do not exist for the smaller models. Can this hard coding be fixed ? It will be great if you can take a look at this. Thank you.