feat(checkpoint): TP recomputation communication optimization

[li126com]

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Motivation

Refer to mindspeed:

When tensor parallelism is enabled, an AllReduce operation is inserted at the end of the forward pass. In the backward pass, this corresponds to an Identity operation. Since recomputation is only used to retrieve intermediate activation values, the output of the AllReduce at the end of the recomputation is redundant. Therefore, the AllReduce at the end can be removed without affecting the intermediate calculations or subsequent backward calculations.

When sequence parallelism is enabled, a ReduceScatter communication is inserted at the end of the forward pass, and an AllGather communication is inserted in the backward pass. During recomputation, the ReduceScatter communication can be directly removed. Additionally, since the gradient at the very end is not related to recomputation, the AllGather in the backward pass can overlap with the forward recomputation. This is illustrated in the diagram below.

7B tp=4 checkpoint tgs: mtp: 2215->2269 msp: 2309->2336

Loss

BC-breaking (Optional)

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Use cases (Optional)

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Checklist

Before PR:

• [ ] Pre-commit or other linting tools are used to fix the potential lint issues.
• [ ] Bug fixes are fully covered by unit tests, the case that causes the bug should be added in the unit tests.
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After PR:

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