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
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