Thanks everyone! It's a great pleasure to join the community.
Regards,
Guobao
On Wed, Sep 5, 2018 at 7:02 AM Niketan Pansare wrote:
> Welcome, Guobao.
>
> > On Sep 4, 2018, at 4:09 PM, dusenberr...@gmail.com wrote:
> >
> > Welcome, Guobao
>
>
+1
As an initiator and user of paramserv func, I just launched several tests
on local pc with a script using paramserv func without mkl. And no bug is
observed.
Regards,
Guobao
On Sun, Aug 19, 2018 at 8:09 PM Matthias Boehm wrote:
> +1
>
> I ran the perftest suite multiple times up to 80GB
Thanks Niketan!
On Fri, Aug 10, 2018 at 4:31 PM Niketan Pansare wrote:
> Congratulations Guobao!
>
> > On Aug 9, 2018, at 11:27 PM, Krishna Kalyan
> wrote:
> >
> > Congratulations Guobao
>
>
ovide a data converter
> > (see RDDConverterUtils.libsvmToBinaryBlock) to convert this into our
> > internal binary representation.
> > * Run the basic mnist lenet example for a few epochs.
> > * Install the native BLAS libraries mkl or openblas and try using it
> > for th
o: dev@systemml.apache.org
Cc: Guobao Li <guobao1993...@gmail.com>
Hi Guobao,
that sounds very good. In general, the "model" refers to the
collection of all weights and bias matrices of a given architecture.
Similar to a classic regression model, we can view the weigh
Hi Matthias,
I'm currently reading the dml script MNIST LeNet example and got some
questions. I hope that you could help me out of them.
1) Is it possible to define a matrix containing the variables? Because I'm
wondering how to represent the model as a parameter for the "paramserv"
function.
Hi Matthias,
I'm currently reading the dml script MNIST LeNet example and got some
questions. I hope that you could help me out of them.
1) Is it possible to define a matrix containing the variables? Because I'm
wondering how to represent the model as a parameter for the "paramserv"
function.
wald
> IBM Almaden Research Center
> office: (408) 927 2208; T/L: 457 2208
> e-mail: reinw...@us.ibm.com
>
>
>
> From:Krishna Kalyan <krishnakaly...@gmail.com>
> To: dev@systemml.apache.org
> Cc:Guobao Li <guobao1993...@gmail.com>
> Date
