Using multithreading from tutorial doesnt seem to work
MichaelKachanyuk opened this issue · comments
General information:
- emcee version: 3.1.6
- platform: Windows/VS code/Jupyter Notebook
- installation method (pip/conda/source/other?): pip install
Problem description:
Expected behavior:
Should run mcmc sampler and make run-time shorter
Actual behavior:
Code cell continues running and does not seem to make sampler run-time any shorter
What have you tried so far?:
changing threads/core/nwalkers
Minimal example:
with Pool() as pool:
sampler2 = mc.EnsembleSampler(nwalkers=10, ndim=4, log_prob_fn=ln_pdf2, args = [], pool = pool)
sampler2.run_mcmc(starts2, 1000, progress = True)
14m 20.3s and counting...
import emcee
# sample code goes here...
with Pool() as pool:
sampler2 = mc.EnsembleSampler(nwalkers=10, ndim=4, log_prob_fn=ln_pdf2, args = [], pool = pool)
sampler2.run_mcmc(starts2, 1000, progress = True)