mirror of
https://github.com/vale981/ray
synced 2025-03-08 19:41:38 -05:00
b6a18cb39b
* wip * works with cartpole * lint * fix pg * comment * action dist rename * preprocessor * fix test * typo * fix the action[0] nonsense * revert * satisfy the lint * wip * works with cartpole * lint * fix pg * comment * action dist rename * preprocessor * fix test * typo * fix the action[0] nonsense * revert * satisfy the lint * Minor indentation changes. * fix merge * add humanoid * initial dqn refactor * remove tfutil * fix calls * fix tf errors 1 * closer * runs now * lint * tensorboard graph * fix linting * more 4 space * fix * fix linT * more lint * oops * es parity * remove example.py * fix training bug * add cartpole demo * try fixing cartpole * allow model options, configure cartpole * debug * simplify * no dueling * avoid out of file handles * Test dqn in jenkins. * Minor formatting. * fix issue * fix another * Fix problem in which we log to a directory that hasn't been created.
75 lines
2.3 KiB
Bash
Executable file
75 lines
2.3 KiB
Bash
Executable file
#!/usr/bin/env bash
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# Cause the script to exit if a single command fails.
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set -e
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# Show explicitly which commands are currently running.
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set -x
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ROOT_DIR=$(cd "$(dirname "${BASH_SOURCE:-$0}")"; pwd)
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DOCKER_SHA=$($ROOT_DIR/../../build-docker.sh --output-sha --no-cache)
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echo "Using Docker image" $DOCKER_SHA
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python $ROOT_DIR/multi_node_docker_test.py \
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--docker-image=$DOCKER_SHA \
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--num-nodes=5 \
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--num-redis-shards=10 \
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--test-script=/ray/test/jenkins_tests/multi_node_tests/test_0.py
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python $ROOT_DIR/multi_node_docker_test.py \
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--docker-image=$DOCKER_SHA \
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--num-nodes=5 \
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--num-redis-shards=5 \
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--num-gpus=0,1,2,3,4 \
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--num-drivers=7 \
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--driver-locations=0,1,0,1,2,3,4 \
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--test-script=/ray/test/jenkins_tests/multi_node_tests/remove_driver_test.py
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python $ROOT_DIR/multi_node_docker_test.py \
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--docker-image=$DOCKER_SHA \
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--num-nodes=5 \
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--num-redis-shards=2 \
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--num-gpus=0,0,5,6,50 \
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--num-drivers=100 \
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--test-script=/ray/test/jenkins_tests/multi_node_tests/many_drivers_test.py
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python $ROOT_DIR/multi_node_docker_test.py \
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--docker-image=$DOCKER_SHA \
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--num-nodes=1 \
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--mem-size=60G \
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--shm-size=60G \
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--test-script=/ray/test/jenkins_tests/multi_node_tests/large_memory_test.py
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# Test that the example applications run.
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# docker run --shm-size=10G --memory=10G $DOCKER_SHA \
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# python /ray/examples/lbfgs/driver.py
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# docker run --shm-size=10G --memory=10G $DOCKER_SHA \
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# python /ray/examples/rl_pong/driver.py \
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# --iterations=3
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# docker run --shm-size=10G --memory=10G $DOCKER_SHA \
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# python /ray/examples/hyperopt/hyperopt_simple.py
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# docker run --shm-size=10G --memory=10G $DOCKER_SHA \
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# python /ray/examples/hyperopt/hyperopt_adaptive.py
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docker run --shm-size=10G --memory=10G $DOCKER_SHA \
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python /ray/python/ray/rllib/a3c/example.py \
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--environment=PongDeterministic-v0 \
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--iterations=2
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# docker run --shm-size=10G --memory=10G $DOCKER_SHA \
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# python /ray/python/ray/rllib/policy_gradient/example.py \
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# --iterations=2
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docker run --shm-size=10G --memory=10G $DOCKER_SHA \
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python /ray/python/ray/rllib/evolution_strategies/example.py \
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--env-name=Pendulum-v0 \
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--iterations=2
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docker run --shm-size=10G --memory=10G $DOCKER_SHA \
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python /ray/python/ray/rllib/dqn/example-cartpole.py \
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--iterations=2
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