24 Nov
2021
24 Nov
'21
6:07 p.m.
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(a)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(a)gmail.com>
*Sent:* Monday, November 22, 2021 12:40
*To:* NEST User Mailing List <users(a)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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--
Thanks and Regards
*Maryada*