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[Feature] Video recording in SOTA examples #2070

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merged 13 commits into from
Apr 23, 2024
Merged

[Feature] Video recording in SOTA examples #2070

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4250d45
init
vmoens Apr 9, 2024
573b1ed
iql
vmoens Apr 9, 2024
15b2351
Merge remote-tracking branch 'origin/main' into video-recording-sota
vmoens Apr 22, 2024
a68cad6
ppo
vmoens Apr 22, 2024
de42c42
sac
vmoens Apr 23, 2024
cbfa3d2
amend
vmoens Apr 23, 2024
48d824a
amend
vmoens Apr 23, 2024
4b3cece
Merge remote-tracking branch 'origin/main' into video-recording-sota
vmoens Apr 23, 2024
aff58c6
amend
vmoens Apr 23, 2024
f11fadb
amend
vmoens Apr 23, 2024
ad057d7
Merge remote-tracking branch 'origin/main' into video-recording-sota
vmoens Apr 23, 2024
3a4ae87
amend
vmoens Apr 23, 2024
12dfa65
amend
vmoens Apr 23, 2024
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amend
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@vmoens
vmoens committed Apr 23, 2024
commit aff58c673eb392c88fdd5416086433e6cc29e8a3
32 changes: 0 additions & 32 deletions .github/unittest/linux_examples/scripts/run_test.sh
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Expand Up @@ -36,24 +36,20 @@ python .github/unittest/helpers/coverage_run_parallel.py sota-implementations/de
optim.pretrain_gradient_steps=55 \
optim.updates_per_episode=3 \
optim.warmup_steps=10 \
optim.device=cuda:0 \
logger.backend= \
env.backend=gymnasium \
env.name=HalfCheetah-v4
python .github/unittest/helpers/coverage_run_parallel.py sota-implementations/decision_transformer/online_dt.py \
optim.pretrain_gradient_steps=55 \
optim.updates_per_episode=3 \
optim.warmup_steps=10 \
optim.device=cuda:0 \
env.backend=gymnasium \
logger.backend=
python .github/unittest/helpers/coverage_run_parallel.py sota-implementations/iql/iql_offline.py \
optim.gradient_steps=55 \
optim.device=cuda:0 \
logger.backend=
python .github/unittest/helpers/coverage_run_parallel.py sota-implementations/cql/cql_offline.py \
optim.gradient_steps=55 \
optim.device=cuda:0 \
logger.backend=

# ==================================================================================== #
Expand Down Expand Up @@ -86,8 +82,6 @@ python .github/unittest/helpers/coverage_run_parallel.py sota-implementations/dd
optim.batch_size=10 \
collector.frames_per_batch=16 \
collector.env_per_collector=2 \
collector.device=cuda:0 \
network.device=cuda:0 \
optim.utd_ratio=1 \
replay_buffer.size=120 \
env.name=Pendulum-v1 \
Expand All @@ -112,7 +106,6 @@ python .github/unittest/helpers/coverage_run_parallel.py sota-implementations/dq
collector.init_random_frames=10 \
collector.frames_per_batch=16 \
buffer.batch_size=10 \
device=cuda:0 \
loss.num_updates=1 \
logger.backend= \
buffer.buffer_size=120
Expand All @@ -122,7 +115,6 @@ python .github/unittest/helpers/coverage_run_parallel.py sota-implementations/cq
optim.batch_size=10 \
collector.frames_per_batch=16 \
collector.env_per_collector=2 \
collector.device=cuda:0 \
replay_buffer.size=120 \
logger.backend=
python .github/unittest/helpers/coverage_run_parallel.py sota-implementations/redq/redq.py \
Expand All @@ -131,7 +123,6 @@ python .github/unittest/helpers/coverage_run_parallel.py sota-implementations/re
collector.init_random_frames=10 \
collector.frames_per_batch=16 \
collector.env_per_collector=2 \
collector.device=cuda:0 \
buffer.batch_size=10 \
optim.steps_per_batch=1 \
logger.record_video=True \
Expand All @@ -143,22 +134,18 @@ python .github/unittest/helpers/coverage_run_parallel.py sota-implementations/sa
collector.init_random_frames=10 \
collector.frames_per_batch=16 \
collector.env_per_collector=2 \
collector.device=cuda:0 \
optim.batch_size=10 \
optim.utd_ratio=1 \
replay_buffer.size=120 \
env.name=Pendulum-v1 \
network.device=cuda:0 \
logger.backend=
python .github/unittest/helpers/coverage_run_parallel.py sota-implementations/discrete_sac/discrete_sac.py \
collector.total_frames=48 \
collector.init_random_frames=10 \
collector.frames_per_batch=16 \
collector.env_per_collector=1 \
collector.device=cuda:0 \
optim.batch_size=10 \
optim.utd_ratio=1 \
network.device=cuda:0 \
optim.batch_size=10 \
optim.utd_ratio=1 \
replay_buffer.size=120 \
Expand All @@ -185,9 +172,6 @@ python .github/unittest/helpers/coverage_run_parallel.py sota-implementations/td
collector.frames_per_batch=16 \
collector.num_workers=4 \
collector.env_per_collector=2 \
collector.device=cuda:0 \
collector.device=cuda:0 \
network.device=cuda:0 \
logger.mode=offline \
env.name=Pendulum-v1 \
logger.backend=
Expand All @@ -196,26 +180,20 @@ python .github/unittest/helpers/coverage_run_parallel.py sota-implementations/iq
optim.batch_size=10 \
collector.frames_per_batch=16 \
env.train_num_envs=2 \
optim.device=cuda:0 \
collector.device=cuda:0 \
logger.mode=offline \
logger.backend=
python .github/unittest/helpers/coverage_run_parallel.py sota-implementations/iql/discrete_iql.py \
collector.total_frames=48 \
optim.batch_size=10 \
collector.frames_per_batch=16 \
env.train_num_envs=2 \
optim.device=cuda:0 \
collector.device=cuda:0 \
logger.mode=offline \
logger.backend=
python .github/unittest/helpers/coverage_run_parallel.py sota-implementations/cql/cql_online.py \
collector.total_frames=48 \
optim.batch_size=10 \
collector.frames_per_batch=16 \
env.train_num_envs=2 \
collector.device=cuda:0 \
optim.device=cuda:0 \
logger.mode=offline \
logger.backend=

Expand All @@ -238,8 +216,6 @@ python .github/unittest/helpers/coverage_run_parallel.py sota-implementations/dd
optim.batch_size=10 \
collector.frames_per_batch=16 \
collector.env_per_collector=1 \
collector.device=cuda:0 \
network.device=cuda:0 \
optim.utd_ratio=1 \
replay_buffer.size=120 \
env.name=Pendulum-v1 \
Expand All @@ -251,7 +227,6 @@ python .github/unittest/helpers/coverage_run_parallel.py sota-implementations/dq
collector.init_random_frames=10 \
collector.frames_per_batch=16 \
buffer.batch_size=10 \
device=cuda:0 \
loss.num_updates=1 \
logger.backend= \
buffer.buffer_size=120
Expand All @@ -262,7 +237,6 @@ python .github/unittest/helpers/coverage_run_parallel.py sota-implementations/re
collector.frames_per_batch=16 \
collector.env_per_collector=1 \
buffer.batch_size=10 \
collector.device=cuda:0 \
optim.steps_per_batch=1 \
logger.record_video=True \
logger.record_frames=4 \
Expand All @@ -274,29 +248,23 @@ python .github/unittest/helpers/coverage_run_parallel.py sota-implementations/iq
collector.frames_per_batch=16 \
env.train_num_envs=1 \
logger.mode=offline \
optim.device=cuda:0 \
collector.device=cuda:0 \
logger.backend=
python .github/unittest/helpers/coverage_run_parallel.py sota-implementations/cql/cql_online.py \
collector.total_frames=48 \
optim.batch_size=10 \
collector.frames_per_batch=16 \
collector.env_per_collector=1 \
logger.mode=offline \
optim.device=cuda:0 \
collector.device=cuda:0 \
logger.backend=
python .github/unittest/helpers/coverage_run_parallel.py sota-implementations/td3/td3.py \
collector.total_frames=48 \
collector.init_random_frames=10 \
collector.frames_per_batch=16 \
collector.num_workers=2 \
collector.env_per_collector=1 \
collector.device=cuda:0 \
logger.mode=offline \
optim.batch_size=10 \
env.name=Pendulum-v1 \
network.device=cuda:0 \
logger.backend=
python .github/unittest/helpers/coverage_run_parallel.py sota-implementations/multiagent/mappo_ippo.py \
collector.n_iters=2 \
Expand Down
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