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[rllib] Remove legacy multiagent support #2975

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Merged
merged 2 commits into from
Oct 1, 2018
Merged

[rllib] Remove legacy multiagent support #2975

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4f26e12
remove legacy
ericl Sep 27, 2018
12b4dff
remove reshaper
ericl Sep 27, 2018
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Empty file removed python/ray/rllib/examples/legacy_multiagent/__init__.py
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59 changes: 0 additions & 59 deletions python/ray/rllib/examples/legacy_multiagent/multiagent_mountaincar.py
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51 changes: 0 additions & 51 deletions python/ray/rllib/examples/legacy_multiagent/multiagent_mountaincar_env.py
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60 changes: 0 additions & 60 deletions python/ray/rllib/examples/legacy_multiagent/multiagent_pendulum.py
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74 changes: 0 additions & 74 deletions python/ray/rllib/examples/legacy_multiagent/multiagent_pendulum_env.py
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8 changes: 0 additions & 8 deletions python/ray/rllib/models/catalog.py
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Original file line number Diff line number Diff line change
Expand Up @@ -17,7 +17,6 @@
from ray.rllib.models.fcnet import FullyConnectedNetwork
from ray.rllib.models.visionnet import VisionNetwork
from ray.rllib.models.lstm import LSTM
from ray.rllib.models.multiagentfcnet import MultiAgentFullyConnectedNetwork

MODEL_CONFIGS = [
# === Built-in options ===
Expand Down Expand Up @@ -181,13 +180,6 @@ def _get_model(inputs, num_outputs, options, state_in, seq_lens):

obs_rank = len(inputs.shape) - 1

# num_outputs > 1 used to avoid hitting this with the value function
if isinstance(
options.get("custom_options", {}).get(
"multiagent_fcnet_hiddens", 1), list) and num_outputs > 1:
return MultiAgentFullyConnectedNetwork(inputs, num_outputs,
options)

if obs_rank > 1:
return VisionNetwork(inputs, num_outputs, options)

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43 changes: 0 additions & 43 deletions python/ray/rllib/models/multiagentfcnet.py
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49 changes: 0 additions & 49 deletions python/ray/rllib/utils/reshaper.py
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6 changes: 0 additions & 6 deletions test/jenkins_tests/run_multi_node_tests.sh
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Expand Up @@ -288,12 +288,6 @@ docker run -e "RAY_USE_XRAY=1" --rm --shm-size=10G --memory=10G $DOCKER_SHA \
python /ray/python/ray/tune/examples/genetic_example.py \
--smoke-test

docker run -e "RAY_USE_XRAY=1" --rm --shm-size=10G --memory=10G $DOCKER_SHA \
python /ray/python/ray/rllib/examples/legacy_multiagent/multiagent_mountaincar.py

docker run -e "RAY_USE_XRAY=1" --rm --shm-size=10G --memory=10G $DOCKER_SHA \
python /ray/python/ray/rllib/examples/legacy_multiagent/multiagent_pendulum.py

docker run -e "RAY_USE_XRAY=1" --rm --shm-size=10G --memory=10G $DOCKER_SHA \
python /ray/python/ray/rllib/examples/multiagent_cartpole.py --num-iters=2

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