[Feature] Refactor Dreamer training with async collectors, profiling, and improved config #3308
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/rl/3308
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… and improved config Major changes: - Switch from SyncDataCollector to MultiCollector with async mode - Add DreamerProfiler class for PyTorch profiling - Add allocate_collector_devices for multi-GPU device allocation - Add make_storage_transform for extend-time image processing - Expand compile config with backend, mode, and per-loss settings - Add profiling config section - Add throughput metrics (FPS, SPS, UPS) - Use fused Adam optimizers - Comprehensive README rewrite - Update CI test command parameters ghstack-source-id: a0c4946 Pull-Request: #3308
This was referenced Jan 8, 2026
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vmoens
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… and improved config Major changes: - Switch from SyncDataCollector to MultiCollector with async mode - Add DreamerProfiler class for PyTorch profiling - Add allocate_collector_devices for multi-GPU device allocation - Add make_storage_transform for extend-time image processing - Expand compile config with backend, mode, and per-loss settings - Add profiling config section - Add throughput metrics (FPS, SPS, UPS) - Use fused Adam optimizers - Comprehensive README rewrite - Update CI test command parameters ghstack-source-id: a9694b5 Pull-Request: #3308
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Stack from ghstack (oldest at bottom):
Major changes: