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I'm running paxml on an Intel Xeon CPU server using the paxml/main.py program. I'm trying to create a model that creates weights in bfloat16, and uses that datatype during eval. I modified the LmCloudSpmd2B configuration with the following lines:
All of the other operator datatypes are float32. When I run that model with the --eval switch all of the computation is in float32. How can I direct paxml to use bfloat16?
Tom
The text was updated successfully, but these errors were encountered:
I'm running paxml on an Intel Xeon CPU server using the paxml/main.py program. I'm trying to create a model that creates weights in bfloat16, and uses that datatype during eval. I modified the LmCloudSpmd2B configuration with the following lines:
The training status output includes the following output.
All of the other operator datatypes are float32. When I run that model with the --eval switch all of the computation is in float32. How can I direct paxml to use bfloat16?
Tom
The text was updated successfully, but these errors were encountered: