Focus project on JAX PPO
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@@ -1,7 +1,7 @@
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"""Profile GPU forward-pass throughput for the Deep CFR trainer network.
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Builds the same DeepCFRMLP that ``DeepCFRTrainer.__init__`` constructs from
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``configs/deep_cfr/default.yaml``, then measures average forward-pass time on
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``legacy/deep-cfr/configs/default.yaml``, then measures average forward-pass time on
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CUDA across a sweep of batch sizes. The goal is to decide whether batched
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traversal inference (Optimization Priorities #5) is worth implementing.
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"""
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@@ -19,7 +19,7 @@ from coolrl_lost_cities.games.classic.deep_cfr.config import load_config
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from coolrl_lost_cities.games.classic.deep_cfr.networks import DeepCFRMLP
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REPO_ROOT = Path(__file__).resolve().parent.parent
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CONFIG_PATH = REPO_ROOT / "configs" / "deep_cfr" / "default.yaml"
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CONFIG_PATH = REPO_ROOT / "legacy" / "deep-cfr" / "configs" / "default.yaml"
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BATCH_SIZES = [1, 4, 16, 64, 256, 1024]
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WARMUP_ITERS = 10
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