Open YanqingQi opened 1 year ago
Then I use parallel tempering sampler emcee_pt instead, the error content is as follows:
2023-04-09T21:58:12.454+08:00 Setting up sampler 2023-04-09T21:58:12.773+08:00 Setting max samples per chain to 1000 2023-04-09T21:58:12.774+08:00 Looking for checkpoint file 2023-04-09T21:58:12.774+08:00 Checkpoint not found or not valid 2023-04-09T21:58:12.774+08:00 Creating file GW190421_213856_inference.hdf.checkpoint 2023-04-09T21:58:36.561+08:00 Running sampler for 0 to 2000 iterations multiprocessing.pool.RemoteTraceback: """ Traceback (most recent call last): File "/home/QiYanQing/.conda/envs/pycbc/lib/python3.8/site-packages/pycbc/inference/models/base.py", line 502, in _trytoget return getattr(self._current_stats, statname) AttributeError: 'ModelStats' object has no attribute 'logprior'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/home/QiYanQing/.conda/envs/pycbc/lib/python3.8/multiprocessing/pool.py", line 125, in worker
result = (True, func(*args, kwds))
File "/home/QiYanQing/.conda/envs/pycbc/lib/python3.8/multiprocessing/pool.py", line 48, in mapstar
return list(map(args))
File "/home/QiYanQing/.conda/envs/pycbc/lib/python3.8/site-packages/emcee/ptsampler.py", line 91, in call
lp = self.logp(x, self.logpargs, self.logpkwargs)
File "/home/QiYanQing/.conda/envs/pycbc/lib/python3.8/site-packages/pycbc/inference/models/init.py", line 58, in _call_global_model_logprior
return _global_instance(*args, callstat='logprior', kwds)
File "/home/QiYanQing/.conda/envs/pycbc/lib/python3.8/site-packages/pycbc/inference/models/init.py", line 157, in call
val = getattr(self.model, callstat)
File "/home/QiYanQing/.conda/envs/pycbc/lib/python3.8/site-packages/pycbc/inference/models/base.py", line 561, in logprior
return self._trytoget('logprior', self._logprior)
File "/home/QiYanQing/.conda/envs/pycbc/lib/python3.8/site-packages/pycbc/inference/models/base.py", line 509, in _trytoget
val = fallback(kwargs)
File "/home/QiYanQing/.conda/envs/pycbc/lib/python3.8/site-packages/pycbc/inference/models/base.py", line 566, in _logprior
logp = self.prior_distribution(self.current_params) + logj
File "/home/QiYanQing/.conda/envs/pycbc/lib/python3.8/site-packages/pycbc/distributions/joint.py", line 294, in call
logps = numpy.array([d(params) for d in self.distributions])
File "/home/QiYanQing/.conda/envs/pycbc/lib/python3.8/site-packages/pycbc/distributions/joint.py", line 294, in
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/home/QiYanQing/.conda/envs/pycbc/bin/pycbc_inference", line 148, in
This error occurred during the running of a sampling program. The error message mentions both AttributeError and TypeError.
Specifically, multiple processes are running the sampling program, and within one of the processes a function called an attribute named logprior that does not exist in the ModelStats object, leading to the AttributeError. Furthermore, in another process, a function called a NoneType object that should have been a function earlier, leading to the TypeError.
@YanqingQi Can you try the latest PyCBC code?
[prior-srcmchirp] name = external_func_fromfile module = pycbc.distributions.external file_path = /home/QiYanQing/GWTC_reweight/Bayesian_inference_20230203/CE/GW190421_213856/prob_chirp_mass_source.txt column_index = 1 logpdf = _logpdf cdfinv = _cdfinv
An error occurred when I added the external file for prior distribution. The error content is as follows:
Exception while calling prior_transform function: params: [0.84038099 0.4933855 0.8026766 0.59142185 0.83061054 0.79597841 0.25080969 0.44994178 0.37936985 0.43277318 0.71048502 0.59450103 0.67310086 0.42945355 0.11565985 0.14913514 0.9938903 0.24068312 0.15047841 0.12633541 0.53773862 0.82638099 0.5791036 0.94994042 0.52760596 0.9099858 0.29087171 0.42707169 0.0184765 0.95325992 0.95652605 0.87521508 0.05293357 0.72265498 0.61398852 0.45729437 0.12369397 0.13525217 0.10249336 0.52767358 0.40559351 0.99125834 0.6069971 0.6301132 0.35665295 0.53264742 0.84110584 0.01857072 0.94779999 0.01961378 0.48009919 0.62480051 0.91169068 0.09506492 0.52875516] args: [] kwargs: {} exception: Traceback (most recent call last): File "/home/QiYanQing/.conda/envs/GWTC-3-population/lib/python3.8/site-packages/dynesty/dynesty.py", line 939, in call return self.func(x, *self.args, **self.kwargs) File "/home/QiYanQing/.conda/envs/GWTC-3-population/lib/python3.8/site-packages/pycbc/inference/sampler/base_cube.py", line 38, in call_global_logprior return models._global_instance.prior_transform(cube) File "/home/QiYanQing/.conda/envs/GWTC-3-population/lib/python3.8/site-packages/pycbc/inference/sampler/base_cube.py", line 95, in prior_transform cube[i] = inv[param] KeyError: 'srcmchirp'