5546a45bc3
gpu_n_episodes was manually overridden in GPU profiles, training configs, test files, and hyperopt — all set to 0 or small fixed values that bypassed the auto-scaling logic, causing a div-by-zero crash in train_baseline_rl. Now: single auto-scaling path via optimal_n_episodes() from VRAM/SM count. No manual override field. Cap at 16384 (consistent with AutoBatchSizer's 8192 cap pattern). Floor at 32 for small GPUs. Removed gpu_n_episodes from: - DQNHyperparameters, PpoHyperparameters structs - All 4 GPU profiles (rtx3050, h100, a100, default) - Training profiles (smoketest, localdev) - ExperienceProfile struct + serde - Hyperopt adapter - All test overrides Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
14 lines
275 B
TOML
14 lines
275 B
TOML
# A100 (40-80GB VRAM)
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[training]
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batch_size = 0 # 0 = auto-compute from VRAM
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num_atoms = 51
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buffer_size = 0 # 0 = auto from VRAM
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hidden_dim_base = 256
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replay_buffer_vram_fraction = 0.70
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[experience]
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gpu_timesteps_per_episode = 500
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[cuda]
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cuda_stack_bytes = 65536 # 64KB
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