ptrendx commented on issue #17164: net.Cast("float16") doesn't work: Check
failed: (*in_type)[i] == dtype_param (2 vs. 0) : This layer requires uniform
type. Expected 'float32' v.s. given 'float16' at 'gamma'
URL:
https://github.com/apache/incubator-mxnet/issues/17164#issuecomment-570295684
This error actually seems to come from the fact that the `SymbolBlock` does
not know really what symbols are inside it, and so it casts all of the
parameters in the `net.cast('float16')` call. However, BatchNorm layer is
slightly special in that it actually requires its parameters `gamma` and `beta`
to be `float32` even if input is `float16` in order to not lose precision. So
the BatchNorm layer expects `gamma` to be `float32`, but the parameter given to
it is in `float16`.
@Rainweic I would recommend looking into AMP for training:
https://mxnet.apache.org/api/python/docs/tutorials/performance/backend/amp.html
@zhreshold FYI
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
us...@infra.apache.org
With regards,
Apache Git Services
