Hi, When I convert a tf model to dlc, error occured:" ERROR - Conversion failed: Cannot resolve BatchNorm layer due to missing variance value."
I am sure that snpe support BatchNorm layer, and the tf model runs normal on android. So what the problem probably is?
Thanks!
Are you using tf.slim batchnorm? the SNPE batchnorm script expects variance to either be an "identity" or a "Const".
If you aren't properly converting your batchnorm vars to consts (either by an is_training flag or by having in-place updates of variance) this will cause this error.
have you known how to solve this problem?