Replacing ShardedTensor with DTensor for RW sharding #2147
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Summary: Pull Request resolved: pytorch#2147 **This is the first part of migration TorchRec state dict checkpointing from ShardedTensor to DTensor. It sets up the necessary infra to support additional sharding schemes. The general approach is to keep ShardedTensor paths and remove them once all sharding types are supported on DTensor. This includes ShardingPlan and ShardedTensor dataclasses such as ShardedTensorMetadata. Those will be migrated in a separate diff with ParameterSharding** NOTE: This version of LocalShardsWrapper does not support empty shards, that is added in the next diff enabling CW. D57063512 **This diff includes:** + LocalShardsWrapper torch.tensor subclass to be used with DTensor + Changes in TorchRec state_dict load and creation to use DTensor for Row Wise path in both EmbeddingCollection and EmbeddingBagCollection + Changes to DCP to support LocalShardsWrapper for saving and reading (WriteItems and ReadItems) + Added DTensor paths to callsites where ShardedTensors are expected. **LocalShardsWrapper supports the following torch ops:** + torch.ops._c10d_functional.all_gather_into_tensor.default + aten._to_copy.default + aten.view.default + aten.equal.default + aten.detach.default With extensibility to add more as required by use cases. See https://docs.google.com/document/d/16Ptl50mGFJW2cljdF2HQ6FwsiA0scwbAbjx_4dhabJw/edit?usp=drivesdk for more info regarding design and approach. Reviewed By: XilunWu Differential Revision: D54375878
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Summary: Pull Request resolved: pytorch#2147 **This is the first part of migration TorchRec state dict checkpointing from ShardedTensor to DTensor. It sets up the necessary infra to support additional sharding schemes. The general approach is to keep ShardedTensor paths and remove them once all sharding types are supported on DTensor. This includes ShardingPlan and ShardedTensor dataclasses such as ShardedTensorMetadata. Those will be migrated in a separate diff with ParameterSharding** NOTE: This version of LocalShardsWrapper does not support empty shards, that is added in the next diff enabling CW. D57063512 **This diff includes:** + LocalShardsWrapper torch.tensor subclass to be used with DTensor + Changes in TorchRec state_dict load and creation to use DTensor for Row Wise path in both EmbeddingCollection and EmbeddingBagCollection + Changes to DCP to support LocalShardsWrapper for saving and reading (WriteItems and ReadItems) + Added DTensor paths to callsites where ShardedTensors are expected. **LocalShardsWrapper supports the following torch ops:** + torch.ops._c10d_functional.all_gather_into_tensor.default + aten._to_copy.default + aten.view.default + aten.equal.default + aten.detach.default With extensibility to add more as required by use cases. See https://docs.google.com/document/d/16Ptl50mGFJW2cljdF2HQ6FwsiA0scwbAbjx_4dhabJw/edit?usp=drivesdk for more info regarding design and approach. Reviewed By: XilunWu Differential Revision: D54375878
Summary: Pull Request resolved: pytorch#2147 **This is the first part of migration TorchRec state dict checkpointing from ShardedTensor to DTensor. It sets up the necessary infra to support additional sharding schemes. The general approach is to keep ShardedTensor paths and remove them once all sharding types are supported on DTensor. This includes ShardingPlan and ShardedTensor dataclasses such as ShardedTensorMetadata. Those will be migrated in a separate diff with ParameterSharding** NOTE: This version of LocalShardsWrapper does not support empty shards, that is added in the next diff enabling CW. D57063512 **This diff includes:** + LocalShardsWrapper torch.tensor subclass to be used with DTensor + Changes in TorchRec state_dict load and creation to use DTensor for Row Wise path in both EmbeddingCollection and EmbeddingBagCollection + Changes to DCP to support LocalShardsWrapper for saving and reading (WriteItems and ReadItems) + Added DTensor paths to callsites where ShardedTensors are expected. **LocalShardsWrapper supports the following torch ops:** + torch.ops._c10d_functional.all_gather_into_tensor.default + aten._to_copy.default + aten.view.default + aten.equal.default + aten.detach.default With extensibility to add more as required by use cases. See https://docs.google.com/document/d/16Ptl50mGFJW2cljdF2HQ6FwsiA0scwbAbjx_4dhabJw/edit?usp=drivesdk for more info regarding design and approach. Reviewed By: XilunWu Differential Revision: D54375878
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Summary:
This is the first part of migration TorchRec state dict checkpointing from ShardedTensor to DTensor. It sets up the necessary infra to support additional sharding schemes. The general approach is to keep ShardedTensor paths and remove them once all sharding types are supported on DTensor. This includes ShardingPlan and ShardedTensor dataclasses such as ShardedTensorMetadata. Those will be migrated in a separate diff with ParameterSharding
NOTE: This version of LocalShardsWrapper does not support empty shards, that is added in the next diff enabling CW. D57063512
This diff includes:
LocalShardsWrapper supports the following torch ops:
With extensibility to add more as required by use cases.
See https://docs.google.com/document/d/16Ptl50mGFJW2cljdF2HQ6FwsiA0scwbAbjx_4dhabJw/edit?usp=drivesdk for more info regarding design and approach.
Reviewed By: XilunWu
Differential Revision: D54375878