Hi Matthias, I have created DML and R script, and passed random matrices from java test class. All the test have passed. Link: https://github.com/apache/systemml/pull/861
Kindly, provide some comments, when you come this way?. Thank you, Janardhan On Tue, Jan 15, 2019 at 3:58 PM Matthias Boehm <mboe...@gmail.com> wrote: > yes, you're absolutely right - in this form, results would always > differ. Even if we feed a seed to both R and DML scripts, the > implementation of our rand is very different as we need to ensure that, > given a seed, we generate the same data in local and distributed > operations. Accordingly, we derive seeds for each 1K x 1K block from the > initial seed. > > For testing purposes, we usually use one of the following two > approaches: (1) use constant matrices or sequences (matrix/seq), or (2) > generate the random data outside and read it into both scripts. > Accordingly, I would recommend to create a copy of the dml script, place > it inside the test directory, and modify the script accordingly. > > Regards, > Matthias > > On 15/01/2019 05:40, Janardhan wrote: > > Hi, > > > > I have replicated AutoEncoder-2layer script in R. But, can the output > files > > (W1, b1, ...) will match the R script. (not matching in my > implementation). > > > > Because, we have used Rand functions without seed in dml script also R > > doesn't provide any Rand(.., seed=..) function. I have just used > > > > *IN DML : Rand(m, n, min=-1, max=1)* > > *IN R: runif(n, min=-1, max=1) %*% matrix(1, m, 1) * > > > > Should the results from Autoencoder-2layer.dml will match with that of R > > script. > > > > Thanks, > > Janardhan > > >
