Pull Request已成功合入, 合并人@ascend-robot
(感谢 shawnylee233 的贡献)变更摘要
此PR为MoE(混合专家)模块中的token unpermute操作及其反向传播V2版本新增了DTensor分布式张量分片策略支持。通过在 torch_npu/distributed/tensor/_moe_ops.py 中注册两个新的策略函数,使得NPU上的MoE token unpermute操作能够在分布式场景下选择全复制(Replicate)或hidden_size维度分片(Shard)两种并行策略。
主要改动
-
新增
_npu_moe_token_unpermute_strategy策略函数:为npu._npu_moe_token_unpermute算子注册DTensor分片策略,支持全复制策略(输入输出均为Replicate())和hidden_size维度分片策略(permuted_tokens与输出在维度1使用Shard(1),sorted_indices保持Replicate())。 -
新增
npu_moe_token_unpermute_grad_v2_strategy策略函数:为npu.npu_moe_token_unpermute_grad_v2反向算子注册DTensor分片策略,支持全复制策略和hidden_size维度分片策略,其中分片策略下permuted_tokens梯度在维度1使用Shard(1),probs梯度使用Partial()归约。


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| module | lgtm status | approve status |
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| torch_npu/distributed | ✅ liangsongwei, chengpeng25 (2/2) | ✅ liangsongwei (1/1) |
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当前仓库存在以下 保护分支 :
| Protected Branch | Version | Release |
|---|---|---|
| master | ||
| v2.7.1-26.1.0 | ||
| v2.7.1 | ||
| v2.9.0 | ||
| v2.10.0 | ||
| v2.11.0 | ||
| v2.12.0 | ||
| v2.10.0-26.1.0 | ||
| v2.11.0-26.1.0 | ||
| v2.12.0-26.1.0 | ||
| v2.9.0-26.1.0 | ||
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/approve


/lgtm




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