Closed jiespinozar closed 9 months ago
Hi,
I am pretty certain if you have tqdm installed and specify print_progress=True tqdm will be used.
Hi,
I am pretty certain if you have tqdm installed and specify print_progress=True tqdm will be used.
That's not working for me :( I'm currently using python 3.11.5 with dynesty 2.1.3 and tqdm 4.65.0. I created a simple function that works but the progress bar is still default.
def dynesty_fit(ndim=38,nlive=1000,bound="walk",sample="rwalk",nthreads=2):
print("Running dynesty ... ")
with contextlib.closing(Pool(processes= nthreads - 1)) as executor:
sampler = DynamicNestedSampler(lnlike, lnprior, ndim, bound=bound, sample=sample , nlive = nlive, pool=executor, queue_size=nthreads)
sampler.run_nested(print_progress=True)
res = sampler.results
weights = np.exp(res['logwt'] - res['logz'][-1])
postsamples = resample_equal(res.samples, weights)
return postsamples
It shows this bar while running:
Can it be a problem with parallelization?
This bar is from tqdm I believe. (there is no progress bar in a classical sense since we don't know how many iterations will be needed, so it's just an updated message which should be updated in real time)
This bar is from tqdm I believe. (there is no progress bar in a classical sense since we don't know how many iterations will be needed, so it's just an updated message which should be updated in real time)
Ohhh, I understand. Thank you!
Hello, how should I call the function to print the progress bar using tqdm? I tried "sampler.run_nested(print_func=dynesty.utils.print_fn_tqdm)" but it is not working. Can you give me an example? Thanks in advance, Best, Juan Ignacio