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https://github.com/vale981/ray
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72595cca0d
* update * update examples * Wed Mar 21 15:19:56 PDT 2018 * Wed Mar 21 15:21:32 PDT 2018 * Update train_a3c.py * Update train.py * fix resources accounting
60 lines
1.7 KiB
Python
60 lines
1.7 KiB
Python
from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import ray
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from ray.tune import register_env, run_experiments
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from env import CarlaEnv, ENV_CONFIG
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from models import register_carla_model
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from scenarios import TOWN2_STRAIGHT
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env_name = "carla_env"
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env_config = ENV_CONFIG.copy()
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env_config.update({
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"verbose": False,
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"x_res": 80,
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"y_res": 80,
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"use_depth_camera": False,
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"discrete_actions": False,
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"server_map": "/Game/Maps/Town02",
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"scenarios": TOWN2_STRAIGHT,
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})
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register_env(env_name, lambda env_config: CarlaEnv(env_config))
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register_carla_model()
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ray.init(redirect_output=True)
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run_experiments({
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"carla": {
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"run": "PPO",
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"env": "carla_env",
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"trial_resources": {"cpu": 4, "gpu": 1},
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"config": {
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"env_config": env_config,
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"model": {
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"custom_model": "carla",
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"custom_options": {
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"image_shape": [
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env_config["x_res"], env_config["y_res"], 6],
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},
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"conv_filters": [
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[16, [8, 8], 4],
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[32, [4, 4], 2],
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[512, [10, 10], 1],
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],
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},
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"num_workers": 1,
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"timesteps_per_batch": 2000,
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"min_steps_per_task": 100,
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"lambda": 0.95,
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"clip_param": 0.2,
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"num_sgd_iter": 20,
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"sgd_stepsize": 0.0001,
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"sgd_batchsize": 32,
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"devices": ["/gpu:0"],
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"tf_session_args": {
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"gpu_options": {"allow_growth": True}
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}
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},
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},
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})
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