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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:
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
if i want to add the FusedBatchNorm support ,what should i do
is the any other solution for me to fused the fusedbatchnorm into the cluster
The text was updated successfully, but these errors were encountered:
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:
The text was updated successfully, but these errors were encountered: