def test_rng_seed(backend):
def model():
return pyro.sample("x", dist.Normal(0, 1))
with pyro_backend(backend):
with handlers.seed(rng_seed=0):
expected = model()
with handlers.seed(rng_seed=0):
actual = model()
assert ops.allclose(actual, expected)
def test_model_sample(model, backend):
pytest.importorskip(PACKAGE_NAME[backend])
with pyro_backend(backend), handlers.seed(rng_seed=2):
f = MODELS[model]()
model, model_args, model_kwargs = f['model'], f.get(
'model_args', ()), f.get('model_kwargs', {})
model(*model_args, **model_kwargs)
def test_trace_handler(model, backend):
pytest.importorskip(PACKAGE_NAME[backend])
with pyro_backend(backend), handlers.seed(rng_seed=2):
f = MODELS[model]()
model, model_args, model_kwargs = f['model'], f.get('model_args', ()), f.get('model_kwargs', {})
# should be implemented
handlers.trace(model).get_trace(*model_args, **model_kwargs)
def test_mcmc_interface(model, backend):
pytest.importorskip(PACKAGE_NAME[backend])
with pyro_backend(backend), handlers.seed(rng_seed=20):
f = MODELS[model]()
model, args, kwargs = f['model'], f.get('model_args', ()), f.get('model_kwargs', {})
nuts_kernel = infer.NUTS(model=model)
mcmc = infer.MCMC(nuts_kernel, num_samples=10, warmup_steps=10)
mcmc.run(*args, **kwargs)
mcmc.summary()
