def test_adder(self, max_sequence_length):
adder = adders.EpisodeAdder(self.client, max_sequence_length)
# Create a simple trajectory to add.
observations = range(max_sequence_length)
first, steps = test_utils.make_trajectory(observations)
expected_episode = test_utils.make_sequence(observations)
self.run_test_adder(adder=adder,
first=first,
steps=steps,
expected_items=[expected_episode])
def test_delta_encoded_and_chunk_length(self):
max_sequence_length = 5
client = test_utils.FakeClient()
adder = adders.EpisodeAdder(client,
max_sequence_length,
delta_encoded=True,
chunk_length=max_sequence_length)
# Add an episode.
first, steps = test_utils.make_trajectory(range(max_sequence_length))
adder.add_first(first)
for action, step in steps:
adder.add(action, step)
self.assertTrue(client.writers[0].delta_encoded)
self.assertEqual(max_sequence_length, client.writers[0].chunk_length)
def test_nonzero_padding(self, max_sequence_length, padding):
adder = adders.EpisodeAdder(self.client,
max_sequence_length + padding,
padding_fn=lambda s, d: np.zeros(s, d) - 1)
# Create a simple trajectory to add.
observations = range(max_sequence_length)
first, steps = test_utils.make_trajectory(observations)
expected_episode = test_utils.make_sequence(observations)
for _ in range(padding):
expected_episode.append((-1, -1, -1.0, -1.0, False, ()))
self.run_test_adder(
adder=adder,
first=first,
steps=steps,
expected_items=[expected_episode],
signature=adder.signature(*test_utils.get_specs(steps[0])))
def test_max_sequence_length(self, max_sequence_length):
adder = adders.EpisodeAdder(self.client, max_sequence_length)
first, steps = test_utils.make_trajectory(
range(max_sequence_length + 1))
adder.add_first(first)
for action, step in steps[:-1]:
adder.add(action, step)
# We should have max_sequence_length-1 timesteps that have been written,
# where the -1 is due to the dangling observation (ie we have actually
# seen max_sequence_length observations).
self.assertEqual(self.num_items(), 0)
# Adding one more step should raise an error.
with self.assertRaises(ValueError):
action, step = steps[-1]
adder.add(action, step)
# Since the last insert failed it should not affect the internal state.
self.assertEqual(self.num_items(), 0)
def test_adder(self, max_sequence_length):
client = test_utils.FakeClient()
adder = adders.EpisodeAdder(client, max_sequence_length)
# Create a simple trajectory to add.
observations = range(max_sequence_length)
first, steps = test_utils.make_trajectory(observations)
# Add everything up to the final transition.
adder.add_first(first)
for action, step in steps[:-1]:
adder.add(action, step)
if max_sequence_length == 2:
# Nothing has been written since we only have an initial step and a
# final step (corresponding to a single transition).
self.assertEmpty(client.writers)
else:
# No priorities should have been written so far but all timesteps (all
# but the last one) should have been sent to the writer.
self.assertEmpty(client.writers[0].priorities)
self.assertLen(client.writers[0].timesteps, max_sequence_length - 2)
# Adding a terminal timestep should close the writer and insert a
# prioritized sample referencing all the timesteps (including the padded
# terminating observation).
action, step = steps[-1]
adder.add(action, step)
# The writer should be closed and should have max_sequence_length timesteps.
self.assertTrue(client.writers[0].closed)
self.assertLen(client.writers[0].timesteps, max_sequence_length)
# Make the sequence of data and the priority table entry we expect.
expected_sequence = test_utils.make_sequence(observations)
expected_entry = (base.DEFAULT_PRIORITY_TABLE, expected_sequence, 1.0)
self.assertEqual(client.writers[0].priorities, [expected_entry])