def test_seed_reproducibility(self):
first_fake_kernel = test_fixtures.RandomTransitionKernel()
second_fake_kernel = test_fixtures.RandomTransitionKernel()
seed = samplers.sanitize_seed(test_util.test_seed())
last_state_t = step_kernel(
num_steps=1,
current_state=0,
kernel=test_fixtures.RandomTransitionKernel(),
seed=seed,
)
for num_steps in range(2, 5):
first_final_state_t = step_kernel(
num_steps=num_steps,
current_state=0.,
kernel=first_fake_kernel,
seed=seed,
)
second_final_state_t = step_kernel(
num_steps=num_steps,
current_state=1., # difference should be irrelevant
kernel=second_fake_kernel,
seed=seed,
)
last_state, first_final_state, second_final_state = self.evaluate(
[last_state_t, first_final_state_t, second_final_state_t])
self.assertEqual(first_final_state, second_final_state)
self.assertNotEqual(first_final_state, last_state)
last_state_t = first_final_state_t
def test_seed_reproducibility(self):
first_fake_kernel = test_fixtures.RandomTransitionKernel()
second_fake_kernel = test_fixtures.RandomTransitionKernel()
seed = test_util.test_seed(sampler_type='stateless')
first_trace = tfp.experimental.mcmc.sample_chain_with_burnin(
num_results=5,
current_state=0.,
kernel=first_fake_kernel,
seed=seed).trace
second_trace = tfp.experimental.mcmc.sample_chain_with_burnin(
num_results=5,
current_state=1., # difference should be irrelevant
kernel=second_fake_kernel,
seed=seed).trace
first_trace, second_trace = self.evaluate([first_trace, second_trace])
self.assertAllCloseNested(first_trace, second_trace, rtol=1e-6)
def test_seed_reproducibility(self):
first_fake_kernel = test_fixtures.RandomTransitionKernel()
second_fake_kernel = test_fixtures.RandomTransitionKernel()
seed = samplers.sanitize_seed(test_util.test_seed())
first_final_state = tfp.experimental.mcmc.sample_chain(
num_results=5,
current_state=0.,
kernel=first_fake_kernel,
seed=seed,
)
second_final_state = tfp.experimental.mcmc.sample_chain(
num_results=5,
current_state=1., # difference should be irrelevant
kernel=second_fake_kernel,
seed=seed,
)
first_final_state, second_final_state = self.evaluate(
[first_final_state, second_final_state])
self.assertAllCloseNested(first_final_state,
second_final_state,
rtol=1e-6)
def test_seed_reproducibility(self):
seed = samplers.sanitize_seed(test_util.test_seed())
fake_kernel = test_fixtures.RandomTransitionKernel()
fake_reducer = test_fixtures.NaiveMeanReducer()
first_reduction_rslt, _, _ = tfp.experimental.mcmc.sample_fold(
num_steps=3,
current_state=0.,
kernel=fake_kernel,
reducer=fake_reducer,
seed=seed)
second_reduction_rslt, _, _ = tfp.experimental.mcmc.sample_fold(
num_steps=3,
current_state=0.,
kernel=fake_kernel,
reducer=fake_reducer,
seed=seed)
first_reduction_rslt, second_reduction_rslt = self.evaluate(
[first_reduction_rslt, second_reduction_rslt])
self.assertEqual(first_reduction_rslt, second_reduction_rslt)