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[π π¨ ] set_action_for_agent expects a ActionTuple with batch size 1. (#β¦
β¦5208) * [Bug Fix] set_action_for_agent expects a ActionTuple with batch size 1. * moving a line around
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Original file line number | Diff line number | Diff line change |
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from mlagents_envs.registry import default_registry | ||
from mlagents_envs.side_channel.engine_configuration_channel import ( | ||
EngineConfigurationChannel, | ||
) | ||
from mlagents_envs.base_env import ActionTuple | ||
import numpy as np | ||
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||
BALL_ID = "3DBall" | ||
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||
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||
def test_set_action_single_agent(): | ||
engine_config_channel = EngineConfigurationChannel() | ||
env = default_registry[BALL_ID].make( | ||
base_port=6000, | ||
worker_id=0, | ||
no_graphics=True, | ||
side_channels=[engine_config_channel], | ||
) | ||
engine_config_channel.set_configuration_parameters(time_scale=100) | ||
for _ in range(3): | ||
env.reset() | ||
behavior_name = list(env.behavior_specs.keys())[0] | ||
d, t = env.get_steps(behavior_name) | ||
for _ in range(50): | ||
for agent_id in d.agent_id: | ||
action = np.ones((1, 2)) | ||
action_tuple = ActionTuple() | ||
action_tuple.add_continuous(action) | ||
env.set_action_for_agent(behavior_name, agent_id, action_tuple) | ||
env.step() | ||
d, t = env.get_steps(behavior_name) | ||
env.close() | ||
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||
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||
def test_set_action_multi_agent(): | ||
engine_config_channel = EngineConfigurationChannel() | ||
env = default_registry[BALL_ID].make( | ||
base_port=6001, | ||
worker_id=0, | ||
no_graphics=True, | ||
side_channels=[engine_config_channel], | ||
) | ||
engine_config_channel.set_configuration_parameters(time_scale=100) | ||
for _ in range(3): | ||
env.reset() | ||
behavior_name = list(env.behavior_specs.keys())[0] | ||
d, t = env.get_steps(behavior_name) | ||
for _ in range(50): | ||
action = np.ones((len(d), 2)) | ||
action_tuple = ActionTuple() | ||
action_tuple.add_continuous(action) | ||
env.set_actions(behavior_name, action_tuple) | ||
env.step() | ||
d, t = env.get_steps(behavior_name) | ||
env.close() |