您最多选择25个主题
主题必须以中文或者字母或数字开头，可以包含连字符 (-)，并且长度不得超过35个字符
58 行
1.9 KiB
58 行
1.9 KiB
from mlagents.trainers.tests.mock_brain import make_fake_trajectory
|
|
from mlagents.trainers.tests.dummy_config import create_observation_specs_with_shapes
|
|
from mlagents_envs.base_env import ActionSpec
|
|
from mlagents.trainers.buffer import BufferKey, ObservationKeyPrefix
|
|
|
|
VEC_OBS_SIZE = 6
|
|
ACTION_SIZE = 4
|
|
|
|
|
|
def test_trajectory_to_agentbuffer():
|
|
length = 15
|
|
# These keys should be of type np.ndarray
|
|
wanted_keys = [
|
|
(ObservationKeyPrefix.OBSERVATION, 0),
|
|
(ObservationKeyPrefix.OBSERVATION, 1),
|
|
(ObservationKeyPrefix.NEXT_OBSERVATION, 0),
|
|
(ObservationKeyPrefix.NEXT_OBSERVATION, 1),
|
|
BufferKey.MEMORY,
|
|
BufferKey.MASKS,
|
|
BufferKey.DONE,
|
|
BufferKey.CONTINUOUS_ACTION,
|
|
BufferKey.DISCRETE_ACTION,
|
|
BufferKey.CONTINUOUS_LOG_PROBS,
|
|
BufferKey.DISCRETE_LOG_PROBS,
|
|
BufferKey.ACTION_MASK,
|
|
BufferKey.PREV_ACTION,
|
|
BufferKey.ENVIRONMENT_REWARDS,
|
|
BufferKey.GROUP_REWARD,
|
|
]
|
|
# These keys should be of type List
|
|
wanted_group_keys = [
|
|
BufferKey.GROUPMATE_REWARDS,
|
|
BufferKey.GROUP_CONTINUOUS_ACTION,
|
|
BufferKey.GROUP_DISCRETE_ACTION,
|
|
BufferKey.GROUP_DONES,
|
|
BufferKey.GROUP_NEXT_CONT_ACTION,
|
|
BufferKey.GROUP_NEXT_DISC_ACTION,
|
|
]
|
|
wanted_keys = set(wanted_keys + wanted_group_keys)
|
|
trajectory = make_fake_trajectory(
|
|
length=length,
|
|
observation_specs=create_observation_specs_with_shapes(
|
|
[(VEC_OBS_SIZE,), (84, 84, 3)]
|
|
),
|
|
action_spec=ActionSpec.create_continuous(ACTION_SIZE),
|
|
num_other_agents_in_group=4,
|
|
)
|
|
agentbuffer = trajectory.to_agentbuffer()
|
|
seen_keys = set()
|
|
for key, field in agentbuffer.items():
|
|
assert len(field) == length
|
|
seen_keys.add(key)
|
|
|
|
assert seen_keys.issuperset(wanted_keys)
|
|
|
|
for _key in wanted_group_keys:
|
|
for step in agentbuffer[_key]:
|
|
assert len(step) == 4
|