Hi Stine, I got the answer from your follow-up questions, So rng_type was default but it's interesting that NEST 3.0 does not really have any effect on randomization when I set rng_seed using nest.rng_seed but only if I use nest.SetKernalStatus..... if you run the following code import nest nest.ResetKernel() nest.rng_seed = 307 # nest.SetKernelStatus({'rng_seed': 33}) for _ in range(10): v_m = nest.random.normal(mean=-51., std=10.) print(v_m.GetValue()) print(nest.rng_seed) # print(nest.GetKernelStatus('rng_seed'))
No matter what value you set for seed the out is always the same set of 10 values. and nest.rng_seed value is updated for different set values. However, It works if I use the old syntax. I am assuming it's not a bug but is what 3.1 offers and was added partially in 3.0 version already.
On Wed, Nov 24, 2021 at 3:22 PM Stine Brekke Vennemo < stine.brekke.vennemo@nmbu.no> wrote:
Dear Maryada,
Am I understanding you correctly that every time you call v_m.GetValue() you get the same results? I am not able to reproduce your results, I get a new value for V_m every time I switch rng_seed, and also if I call v_m.GetValue() a second time with the same seed without doing a ResetKernel.
To test that you are actually setting a new rng seed, maybe do a print(nest.rng_seed) to make sure? What is your output if you type print(nest.rng_type)?
Best wishes, Stine
*From:* Maryada Maryada er.maryada@gmail.com *Sent:* Monday, November 22, 2021 12:40 *To:* NEST User Mailing List users@nest-simulator.org *Subject:* [NEST Users] Random seed in NEST 3.0
Dear NEST users,
As I understood from the documentation unless you set the seed using nest.rng_seed, nest.random.normal (for instance) should return the same value
nest.ResetKernel() nest.rng_seed = 21#69696 v_m = nest.random.normal(mean=-51., std=10.) v_m.GetValue()
In this code, I always receive the same v_m value for both cases, if the seed is set as 21 or 69696. The only time it changes is if I remove ResetKernel() call, which then is expected to return different values irrespective of rng_seed. With this code below, I also got the same results irrespective of rng_seed value
nest.ResetKernel() nest.rng_seed = 3333#69696 for _ in range(10): v_m = nest.random.normal(mean=-51., std=10.) print(v_m.GetValue())
So, maybe rng_seed doesn't reflect on nest.random.normal distribution. However, then how can I make sure it draws a different set of values?
-- Thanks and Regards
*Maryada*
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