[Feature] Trainer Algorithms - Configuration System

torchrl/trainers/algorithms/configs/__init__.py

@@ -85,6 +85,7 @@
     ValueModelConfig,
 )
 from torchrl.trainers.algorithms.configs.objectives import (
+    GAEConfig,
     HardUpdateConfig,
     LossConfig,
     PPOLossConfig,
@@ -126,6 +127,7 @@
     InitTrackerConfig,
     KLRewardTransformConfig,
     LineariseRewardsConfig,
+    ModuleTransformConfig,
     MultiActionConfig,
     MultiStepTransformConfig,
     NoopResetEnvConfig,
@@ -179,6 +181,18 @@
     SGDConfig,
     SparseAdamConfig,
 )
+from torchrl.trainers.algorithms.configs.weight_sync_schemes import (
+    DistributedWeightSyncSchemeConfig,
+    MultiProcessWeightSyncSchemeConfig,
+    NoWeightSyncSchemeConfig,
+    RayModuleTransformSchemeConfig,
+    RayWeightSyncSchemeConfig,
+    RPCWeightSyncSchemeConfig,
+    SharedMemWeightSyncSchemeConfig,
+    VLLMDoubleBufferSyncSchemeConfig,
+    VLLMWeightSyncSchemeConfig,
+    WeightSyncSchemeConfig,
+)
 from torchrl.trainers.algorithms.configs.weight_update import (
     DistributedWeightUpdaterConfig,
     MultiProcessedWeightUpdaterConfig,
@@ -273,6 +287,7 @@
     "InitTrackerConfig",
     "KLRewardTransformConfig",
     "LineariseRewardsConfig",
+    "ModuleTransformConfig",
     "MultiActionConfig",
     "MultiStepTransformConfig",
     "NoopResetEnvConfig",
@@ -330,6 +345,8 @@
     "LossConfig",
     "PPOLossConfig",
     "SACLossConfig",
+    # Value functions
+    "GAEConfig",
     # Trainers
     "PPOTrainerConfig",
     "SACTrainerConfig",
@@ -348,6 +365,17 @@
     "RPCWeightUpdaterConfig",
     "DistributedWeightUpdaterConfig",
     "vLLMUpdaterConfig",
+    # Weight Sync Schemes
+    "WeightSyncSchemeConfig",
+    "MultiProcessWeightSyncSchemeConfig",
+    "SharedMemWeightSyncSchemeConfig",
+    "NoWeightSyncSchemeConfig",
+    "RayWeightSyncSchemeConfig",
+    "RayModuleTransformSchemeConfig",
+    "RPCWeightSyncSchemeConfig",
+    "DistributedWeightSyncSchemeConfig",
+    "VLLMWeightSyncSchemeConfig",
+    "VLLMDoubleBufferSyncSchemeConfig",
 ]
 
 
@@ -356,6 +384,10 @@ def _register_configs():
 
     This function is called lazily to avoid GlobalHydra initialization issues
     during testing. It should be called explicitly when needed.
+
+    To add a new config:
+    - Write the config class in the appropriate file (e.g. torchrl/trainers/algorithms/configs/transforms.py) and add it to the __all__ list in torchrl/trainers/algorithms/configs/__init__.py
+    - Register the config in the appropriate group, e.g. cs.store(group="transform", name="new_transform", node=NewTransformConfig)
     """
     cs = ConfigStore.instance()
 
@@ -461,6 +493,7 @@ def _register_configs():
     cs.store(group="transform", name="action_discretizer", node=ActionDiscretizerConfig)
     cs.store(group="transform", name="traj_counter", node=TrajCounterConfig)
     cs.store(group="transform", name="linearise_rewards", node=LineariseRewardsConfig)
+    cs.store(group="transform", name="module", node=ModuleTransformConfig)
     cs.store(group="transform", name="conditional_skip", node=ConditionalSkipConfig)
     cs.store(group="transform", name="multi_action", node=MultiActionConfig)
     cs.store(group="transform", name="timer", node=TimerConfig)
@@ -487,6 +520,7 @@ def _register_configs():
     cs.store(group="transform", name="vip", node=VIPTransformConfig)
     cs.store(group="transform", name="vip_reward", node=VIPRewardTransformConfig)
     cs.store(group="transform", name="vec_norm_v2", node=VecNormV2Config)
+    cs.store(group="transform", name="module", node=ModuleTransformConfig)
 
     # =============================================================================
     # Loss Configurations
@@ -496,6 +530,16 @@ def _register_configs():
     cs.store(group="loss", name="ppo", node=PPOLossConfig)
     cs.store(group="loss", name="sac", node=SACLossConfig)
 
+    # =============================================================================
+    # Value Function Configurations
+    # =============================================================================
+
+    cs.store(group="value", name="gae", node=GAEConfig)
+
+    # =============================================================================
+    # Target Net Updater Configurations
+    # =============================================================================
+
     cs.store(group="target_net_updater", name="soft", node=SoftUpdateConfig)
     cs.store(group="target_net_updater", name="hard", node=HardUpdateConfig)
 
@@ -595,6 +639,41 @@ def _register_configs():
     )
     cs.store(group="weight_updater", name="vllm", node=vLLMUpdaterConfig)
 
+    # =============================================================================
+    # Weight Sync Scheme Configurations
+    # =============================================================================
+
+    cs.store(group="weight_sync_scheme", name="base", node=WeightSyncSchemeConfig)
+    cs.store(
+        group="weight_sync_scheme",
+        name="multiprocess",
+        node=MultiProcessWeightSyncSchemeConfig,
+    )
+    cs.store(
+        group="weight_sync_scheme",
+        name="shared_mem",
+        node=SharedMemWeightSyncSchemeConfig,
+    )
+    cs.store(group="weight_sync_scheme", name="no_sync", node=NoWeightSyncSchemeConfig)
+    cs.store(group="weight_sync_scheme", name="ray", node=RayWeightSyncSchemeConfig)
+    cs.store(
+        group="weight_sync_scheme",
+        name="ray_module_transform",
+        node=RayModuleTransformSchemeConfig,
+    )
+    cs.store(group="weight_sync_scheme", name="rpc", node=RPCWeightSyncSchemeConfig)
+    cs.store(
+        group="weight_sync_scheme",
+        name="distributed",
+        node=DistributedWeightSyncSchemeConfig,
+    )
+    cs.store(group="weight_sync_scheme", name="vllm", node=VLLMWeightSyncSchemeConfig)
+    cs.store(
+        group="weight_sync_scheme",
+        name="vllm_double_buffer",
+        node=VLLMDoubleBufferSyncSchemeConfig,
+    )
+
 
 if not sys.version_info < (3, 10):  #  type: ignore # noqa
     _register_configs()

torchrl/trainers/algorithms/configs/collectors.py

@@ -51,7 +51,9 @@ class SyncDataCollectorConfig(DataCollectorConfig):
     cudagraph_policy: Any = None
     no_cuda_sync: bool = False
     weight_updater: Any = None
+    weight_sync_schemes: Any = None
     track_policy_version: bool = False
+    local_init_rb: bool = False
     _target_: str = "torchrl.collectors.SyncDataCollector"
     _partial_: bool = False
 
@@ -94,7 +96,9 @@ class AsyncDataCollectorConfig(DataCollectorConfig):
     cudagraph_policy: Any = None
     no_cuda_sync: bool = False
     weight_updater: Any = None
+    weight_sync_schemes: Any = None
     track_policy_version: bool = False
+    local_init_rb: bool = False
     _target_: str = "torchrl.collectors.aSyncDataCollector"
     _partial_: bool = False
 
@@ -136,7 +140,9 @@ class MultiSyncDataCollectorConfig(DataCollectorConfig):
     cudagraph_policy: Any = None
     no_cuda_sync: bool = False
     weight_updater: Any = None
+    weight_sync_schemes: Any = None
     track_policy_version: bool = False
+    local_init_rb: bool = False
     _target_: str = "torchrl.collectors.MultiSyncDataCollector"
     _partial_: bool = False
 
@@ -179,7 +185,9 @@ class MultiaSyncDataCollectorConfig(DataCollectorConfig):
     cudagraph_policy: Any = None
     no_cuda_sync: bool = False
     weight_updater: Any = None
+    weight_sync_schemes: Any = None
     track_policy_version: bool = False
+    local_init_rb: bool = False
     _target_: str = "torchrl.collectors.MultiaSyncDataCollector"
     _partial_: bool = False
 

torchrl/trainers/algorithms/configs/data.py

@@ -254,6 +254,7 @@ class LazyMemmapStorageConfig(StorageConfig):
     device: Any = None
     ndim: int = 1
     compilable: bool = False
+    shared_init: bool = False
 
 
 @dataclass
@@ -265,6 +266,7 @@ class LazyTensorStorageConfig(StorageConfig):
     device: Any = None
     ndim: int = 1
     compilable: bool = False
+    shared_init: bool = False
 
 
 @dataclass

torchrl/trainers/algorithms/configs/modules.py

@@ -202,6 +202,7 @@ class ModelConfig(ConfigBase):
     _partial_: bool = False
     in_keys: Any = None
     out_keys: Any = None
+    shared: bool = False
 
     def __post_init__(self) -> None:
         """Post-initialization hook for model configurations."""
@@ -226,7 +227,7 @@ class TensorDictModuleConfig(ModelConfig):
 
     def __post_init__(self) -> None:
         """Post-initialization hook for TensorDict module configurations."""
-        super().__post_init__()
+        return super().__post_init__()
 
 
 @dataclass
@@ -312,6 +313,7 @@ def _make_tanh_normal_model(*args, **kwargs):
     return_log_prob = kwargs.pop("return_log_prob", False)
     eval_mode = kwargs.pop("eval_mode", False)
     exploration_type = kwargs.pop("exploration_type", "RANDOM")
+    shared = kwargs.pop("shared", False)
 
     # Now instantiate the network
     if hasattr(network, "_target_"):
@@ -328,6 +330,8 @@ def _make_tanh_normal_model(*args, **kwargs):
         )
 
     module = TensorDictModule(network, in_keys=in_keys, out_keys=param_keys)
+    if shared:
+        module = module.share_memory()
 
     # Create ProbabilisticTensorDictModule
     prob_module = ProbabilisticTensorDictModule(
@@ -350,4 +354,7 @@ def _make_value_model(*args, **kwargs):
     from torchrl.modules import ValueOperator
 
     network = kwargs.pop("network")
+    shared = kwargs.pop("shared", False)
+    if shared:
+        network = network.share_memory()
     return ValueOperator(network, **kwargs)

torchrl/trainers/algorithms/configs/objectives.py

@@ -148,3 +148,30 @@ class HardUpdateConfig(TargetNetUpdaterConfig):
 
     _target_: str = "torchrl.objectives.utils.HardUpdate."
     value_network_update_interval: int = 1000
+
+
+@dataclass
+class GAEConfig(LossConfig):
+    """A class to configure a GAELoss."""
+
+    gamma: float | None = None
+    lmbda: float | None = None
+    value_network: Any = None
+    average_gae: bool = True
+    differentiable: bool = False
+    vectorized: bool | None = None
+    skip_existing: bool | None = None
+    advantage_key: str | None = None
+    value_target_key: str | None = None
+    value_key: str | None = None
+    shifted: bool = False
+    device: Any = None
+    time_dim: int | None = None
+    auto_reset_env: bool = False
+    deactivate_vmap: bool = False
+    _target_: str = "torchrl.objectives.value.GAE"
+    _partial_: bool = False
+
+    def __post_init__(self) -> None:
+        """Post-initialization hook for GAELoss configurations."""
+        super().__post_init__()