Sample runtimeerror when cores>1

Questions
8

@AlexAndorra I upgraded to version 3.9.3 bu still unable to run more that 1 core. I get the following trace

Auto-assigning NUTS sampler...
Initializing NUTS using jitter+adapt_diag...
Multiprocess sampling (2 chains in 2 jobs)
NUTS: [sigma, mu]
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "F:\anaconda3\envs\envTensorFlow\lib\multiprocessing\spawn.py", line 105, in spawn_main
    exitcode = _main(fd)
  File "F:\anaconda3\envs\envTensorFlow\lib\multiprocessing\spawn.py", line 114, in _main
    prepare(preparation_data)
  File "F:\anaconda3\envs\envTensorFlow\lib\multiprocessing\spawn.py", line 225, in prepare
    _fixup_main_from_path(data['init_main_from_path'])
  File "F:\anaconda3\envs\envTensorFlow\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
    run_name="__mp_main__")
  File "F:\anaconda3\envs\envTensorFlow\lib\runpy.py", line 263, in run_path
    pkg_name=pkg_name, script_name=fname)
  File "F:\anaconda3\envs\envTensorFlow\lib\runpy.py", line 96, in _run_module_code
    mod_name, mod_spec, pkg_name, script_name)
  File "F:\anaconda3\envs\envTensorFlow\lib\runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "c:\Users\Craig\source\repos\pymc_test\pymc_test\pymc_test.py", line 22, in <module>
    samples = sample(1000, tune=1000, cores=2, random_seed=42)
  File "F:\anaconda3\envs\envTensorFlow\lib\site-packages\pymc3\sampling.py", line 545, in sample
    trace = _mp_sample(**sample_args, **parallel_args)
  File "F:\anaconda3\envs\envTensorFlow\lib\site-packages\pymc3\sampling.py", line 1481, in _mp_sample
    pickle_backend=pickle_backend,
  File "F:\anaconda3\envs\envTensorFlow\lib\site-packages\pymc3\parallel_sampling.py", line 454, in __init__
    for chain, seed, start in zip(range(chains), seeds, start_points)
  File "F:\anaconda3\envs\envTensorFlow\lib\site-packages\pymc3\parallel_sampling.py", line 454, in <listcomp>
    for chain, seed, start in zip(range(chains), seeds, start_points)
  File "F:\anaconda3\envs\envTensorFlow\lib\site-packages\pymc3\parallel_sampling.py", line 294, in __init__
    self._process.start()
  File "F:\anaconda3\envs\envTensorFlow\lib\multiprocessing\process.py", line 105, in start
    self._popen = self._Popen(self)
  File "F:\anaconda3\envs\envTensorFlow\lib\multiprocessing\context.py", line 322, in _Popen
    return Popen(process_obj)
  File "F:\anaconda3\envs\envTensorFlow\lib\multiprocessing\popen_spawn_win32.py", line 33, in __init__
    prep_data = spawn.get_preparation_data(process_obj._name)
  File "F:\anaconda3\envs\envTensorFlow\lib\multiprocessing\spawn.py", line 143, in get_preparation_data
    _check_not_importing_main()
  File "F:\anaconda3\envs\envTensorFlow\lib\multiprocessing\spawn.py", line 136, in _check_not_importing_main
    is not going to be frozen to produce an executable.''')
RuntimeError:
        An attempt has been made to start a new process before the
        current process has finished its bootstrapping phase.

        This probably means that you are not using fork to start your
        child processes and you have forgotten to use the proper idiom
        in the main module:

            if __name__ == '__main__':
                freeze_support()
                ...

        The "freeze_support()" line can be omitted if the program
        is not going to be frozen to produce an executable.
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