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42 行
1.4 KiB
42 行
1.4 KiB
from mlagents.trainers.tests.mock_brain import make_fake_trajectory
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from mlagents.trainers.tests.dummy_config import create_observation_specs_with_shapes
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from mlagents_envs.base_env import ActionSpec
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from mlagents.trainers.buffer import BufferKey, ObservationKeyPrefix
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VEC_OBS_SIZE = 6
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ACTION_SIZE = 4
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def test_trajectory_to_agentbuffer():
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length = 15
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wanted_keys = [
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(ObservationKeyPrefix.OBSERVATION, 0),
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(ObservationKeyPrefix.OBSERVATION, 1),
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(ObservationKeyPrefix.NEXT_OBSERVATION, 0),
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(ObservationKeyPrefix.NEXT_OBSERVATION, 1),
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BufferKey.MEMORY,
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BufferKey.MASKS,
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BufferKey.DONE,
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BufferKey.CONTINUOUS_ACTION,
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BufferKey.DISCRETE_ACTION,
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BufferKey.CONTINUOUS_LOG_PROBS,
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BufferKey.DISCRETE_LOG_PROBS,
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BufferKey.ACTION_MASK,
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BufferKey.PREV_ACTION,
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BufferKey.ENVIRONMENT_REWARDS,
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]
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wanted_keys = set(wanted_keys)
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trajectory = make_fake_trajectory(
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length=length,
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observation_specs=create_observation_specs_with_shapes(
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[(VEC_OBS_SIZE,), (84, 84, 3)]
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),
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action_spec=ActionSpec.create_continuous(ACTION_SIZE),
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)
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agentbuffer = trajectory.to_agentbuffer()
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seen_keys = set()
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for key, field in agentbuffer.items():
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assert len(field) == length
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seen_keys.add(key)
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assert seen_keys == wanted_keys
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