Harshavardhana <******@****.***> 1693690838 -0700

        requires all optimizer variables to be created at the first
        `apply_gradients()` or `minimize()` call. If your workflow calls
        optimizer to update different parts of model in multiple stages,
        please call `optimizer.build(model.trainable_variables)` before the
        training loop.
    *   **Performance regression on `ParameterServerStrategy`.** This could be

t-asm/cryptogams/blob/master/ppc/aesp8-ppc.pl // Some function names were changed to be consistent with Go function // names. For instance, function aes_p8_set_{en,de}crypt_key become // set{En,De}cryptKeyAsm. I also split setEncryptKeyAsm in two parts // and a new session was created (doEncryptKeyAsm). This was necessary to // avoid arguments overwriting when setDecryptKeyAsm calls setEncryptKeyAsm. // There were other modifications as well but kept the same functionality. #include "textflag.h"...

t-asm/cryptogams/blob/master/ppc/aesp8-ppc.pl // Some function names were changed to be consistent with Go function // names. For instance, function aes_p8_set_{en,de}crypt_key become // set{En,De}cryptKeyAsm. I also split setEncryptKeyAsm in two parts // and a new session was created (doEncryptKeyAsm). This was necessary to // avoid arguments overwriting when setDecryptKeyAsm calls setEncryptKeyAsm. // There were other modifications as well but kept the same functionality. #include "textflag.h"...