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
