'HalfCauchyPrior' object has no attribute 'loc'
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-79-6f8875ee8806> in <module>
     15 nuts_kernel = NUTS(pyro_model)
     16 mcmc_run = MCMC(nuts_kernel, num_samples=num_samples, warmup_steps=warmup_steps, disable_progbar=smoke_test)
---> 17 mcmc_run.run(train_X, train_Y)
/mnt/xarfuse/uid-227577/ac1f4bfb-seed-nspid4026531836_cgpid3197131-ns-4026531840/pyro/poutine/messenger.py in _context_wrap(context, fn, *args, **kwargs)
     10 def _context_wrap(context, fn, *args, **kwargs):
     11     with context:
---> 12         return fn(*args, **kwargs)
     13 
     14 
/mnt/xarfuse/uid-227577/ac1f4bfb-seed-nspid4026531836_cgpid3197131-ns-4026531840/pyro/infer/mcmc/api.py in run(self, *args, **kwargs)
    380             # requires_grad", which happens with `jit_compile` under PyTorch 1.7
    381             args = [arg.detach() if torch.is_tensor(arg) else arg for arg in args]
--> 382             for x, chain_id in self.sampler.run(*args, **kwargs):
    383                 if num_samples[chain_id] == 0:
    384                     num_samples[chain_id] += 1
/mnt/xarfuse/uid-227577/ac1f4bfb-seed-nspid4026531836_cgpid3197131-ns-4026531840/pyro/infer/mcmc/api.py in run(self, *args, **kwargs)
    162             logger = initialize_logger(logger, "", progress_bar)
    163             hook_w_logging = _add_logging_hook(logger, progress_bar, self.hook)
--> 164             for sample in _gen_samples(self.kernel, self.warmup_steps, self.num_samples, hook_w_logging,
    165                                        i if self.num_chains > 1 else None,
    166                                        *args, **kwargs):
/mnt/xarfuse/uid-227577/ac1f4bfb-seed-nspid4026531836_cgpid3197131-ns-4026531840/pyro/infer/mcmc/api.py in _gen_samples(kernel, warmup_steps, num_samples, hook, chain_id, *args, **kwargs)
    106 
    107 def _gen_samples(kernel, warmup_steps, num_samples, hook, chain_id, *args, **kwargs):
--> 108     kernel.setup(warmup_steps, *args, **kwargs)
    109     params = kernel.initial_params
    110     # yield structure (key, value.shape) of params
/mnt/xarfuse/uid-227577/ac1f4bfb-seed-nspid4026531836_cgpid3197131-ns-4026531840/pyro/infer/mcmc/hmc.py in setup(self, warmup_steps, *args, **kwargs)
    301         self._warmup_steps = warmup_steps
    302         if self.model is not None:
--> 303             self._initialize_model_properties(args, kwargs)
    304         if self.initial_params:
    305             z = {k: v.detach() for k, v in self.initial_params.items()}
/mnt/xarfuse/uid-227577/ac1f4bfb-seed-nspid4026531836_cgpid3197131-ns-4026531840/pyro/infer/mcmc/hmc.py in _initialize_model_properties(self, model_args, model_kwargs)
    243 
    244     def _initialize_model_properties(self, model_args, model_kwargs):
--> 245         init_params, potential_fn, transforms, trace = initialize_model(
    246             self.model,
    247             model_args,
/mnt/xarfuse/uid-227577/ac1f4bfb-seed-nspid4026531836_cgpid3197131-ns-4026531840/pyro/infer/mcmc/util.py in initialize_model(model, model_args, model_kwargs, transforms, max_plate_nesting, jit_compile, jit_options, skip_jit_warnings, num_chains, init_strategy, initial_params)
    380         automatic_transform_enabled = False
    381     if max_plate_nesting is None:
--> 382         max_plate_nesting = _guess_max_plate_nesting(model, model_args, model_kwargs)
    383     # Wrap model in `poutine.enum` to enumerate over discrete latent sites.
    384     # No-op if model does not have any discrete latents.
/mnt/xarfuse/uid-227577/ac1f4bfb-seed-nspid4026531836_cgpid3197131-ns-4026531840/pyro/infer/mcmc/util.py in _guess_max_plate_nesting(model, args, kwargs)
    234     """
    235     with poutine.block():
--> 236         model_trace = poutine.trace(model).get_trace(*args, **kwargs)
    237     sites = [site for site in model_trace.nodes.values()
    238              if site["type"] == "sample"]
/mnt/xarfuse/uid-227577/ac1f4bfb-seed-nspid4026531836_cgpid3197131-ns-4026531840/pyro/poutine/trace_messenger.py in get_trace(self, *args, **kwargs)
    185         Calls this poutine and returns its trace instead of the function's return value.
    186         """
--> 187         self(*args, **kwargs)
    188         return self.msngr.get_trace()
/mnt/xarfuse/uid-227577/ac1f4bfb-seed-nspid4026531836_cgpid3197131-ns-4026531840/pyro/poutine/trace_messenger.py in __call__(self, *args, **kwargs)
    163                                       args=args, kwargs=kwargs)
    164             try:
--> 165                 ret = self.fn(*args, **kwargs)
    166             except (ValueError, RuntimeError) as e:
    167                 exc_type, exc_value, traceback = sys.exc_info()
<ipython-input-79-6f8875ee8806> in pyro_model(x, y)
      8 def pyro_model(x, y):
      9     with gpytorch.settings.fast_computations(False, False, False):
---> 10         sampled_model = model.pyro_sample_from_prior()
     11         output = sampled_model.likelihood(sampled_model(x))
     12         pyro.sample("obs", output, obs=y)
/mnt/xarfuse/uid-227577/ac1f4bfb-seed-nspid4026531836_cgpid3197131-ns-4026531840/gpytorch/module.py in pyro_sample_from_prior(self)
    381         """
    382         new_module = self.to_pyro_random_module()
--> 383         return _pyro_sample_from_prior(module=new_module, memo=None, prefix="")
    384 
    385     def local_load_samples(self, samples_dict, memo, prefix):
/mnt/xarfuse/uid-227577/ac1f4bfb-seed-nspid4026531836_cgpid3197131-ns-4026531840/gpytorch/module.py in _pyro_sample_from_prior(module, memo, prefix)
    491     for mname, module_ in module.named_children():
    492         submodule_prefix = prefix + ("." if prefix else "") + mname
--> 493         _pyro_sample_from_prior(module=module_, memo=memo, prefix=submodule_prefix)
    494 
    495     return module
/mnt/xarfuse/uid-227577/ac1f4bfb-seed-nspid4026531836_cgpid3197131-ns-4026531840/gpytorch/module.py in _pyro_sample_from_prior(module, memo, prefix)
    491     for mname, module_ in module.named_children():
    492         submodule_prefix = prefix + ("." if prefix else "") + mname
--> 493         _pyro_sample_from_prior(module=module_, memo=memo, prefix=submodule_prefix)
    494 
    495     return module
/mnt/xarfuse/uid-227577/ac1f4bfb-seed-nspid4026531836_cgpid3197131-ns-4026531840/gpytorch/module.py in _pyro_sample_from_prior(module, memo, prefix)
    485                     )
    486                 memo.add(prior)
--> 487                 prior = prior.expand(closure(module).shape)
    488                 value = pyro.sample(prefix + ("." if prefix else "") + prior_name, prior)
    489                 setting_closure(module, value)
/mnt/xarfuse/uid-227577/ac1f4bfb-seed-nspid4026531836_cgpid3197131-ns-4026531840/gpytorch/priors/torch_priors.py in expand(self, batch_shape)
     72 
     73     def expand(self, batch_shape):
---> 74         return HalfCauchy(self.loc.expand(batch_shape), self.scale.expand(batch_shape))
     75 
     76 
/mnt/xarfuse/uid-227577/ac1f4bfb-seed-nspid4026531836_cgpid3197131-ns-4026531840/torch/nn/modules/module.py in __getattr__(self, name)
   1263             if name in modules:
   1264                 return modules[name]
-> 1265         raise AttributeError("'{}' object has no attribute '{}'".format(
   1266             type(self).__name__, name))
   1267 
AttributeError: 'HalfCauchyPrior' object has no attribute 'loc'