Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Dont Support FusedBatchNorm OP #1250

Open
theflyfish opened this issue Sep 5, 2023 · 0 comments
Open

Dont Support FusedBatchNorm OP #1250

theflyfish opened this issue Sep 5, 2023 · 0 comments

Comments

@theflyfish
Copy link

when applying blade on tensorflow 1.15,The whole graph is divided by fusedBatchNorm while all other op has been clusted into serval cluster,so i have some question:

  1. why dont we support FusedBatchNorm op on MLIR mode, as in tf1.5 above and tf2.X,the fused batchnorm op is the default method for batchnorm; and if supported it , the whole graph will be clusted into one cluster which may be achieve better performance
  2. if i want to add the FusedBatchNorm support ,what should i do
  3. is the any other solution for me to fused the fusedbatchnorm into the cluster
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant