Parallelized version of CpuVectorT<real>::uniform and similar functions about paddle

[reyoung]

Well, the uniform & randnorm method, will be moved from C++ part of PaddlePaddle to Python part in our plan. Because we want to support more flexible parameter initialization strategies. Only the zeroMem method will be remained later.

And currently ParallelCpuVectorT is a parallelized version and use multiple threads explicitly by paddle::SyncThreadPool. The OpenMP is cool but need an extra dependency. We may not want to use it now.

Thanks for your attention.

[byzhang]

Thank you for the information. Can you please keep existing functions?
Protobuf message has 2G limits which means sometimes we cannot init all
parameters in Python and pass to Paddle in a proto.

On Sep 17, 2016 10:57 PM, "Yu Yang" [email protected] wrote:

Well, the uniform & randnorm method, will be moved from C++ part of
PaddlePaddle to Python part in our plan. Because we want to support more
flexible parameter initialization strategies. Only the zeroMem method
will be remained later.

And currently ParallelCpuVectorT is a parallelized version and use
multiple threads explicitly by paddle::SyncThreadPool. The OpenMP is cool
but need an extra dependency. We may not want to use it now.

Thanks for your attention.

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[reyoung]

@byzhang O....Maybe we will write the parameter file into output files.

[byzhang]

My two cents, keep the python layer as simple as possible, as thin as
possible :)

Thanks,
-B

On Wed, Sep 21, 2016 at 9:48 PM, Yu Yang [email protected] wrote:

@byzhang https://github.com/byzhang O....Maybe we will write the
parameter file into output files.

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