[Bugfix] Fix a bug in RequestOutput.finished #202
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Eliminate two graph breaks for torch.compile mode:
1. [__graph_breaks] torch._dynamo.exc.Unsupported: builtin: eq [<class
'torch._dynamo.variables.misc.GetAttrVariable'>, <class
'torch._dynamo.variables.constant.EnumVariable'>] False
2. [__graph_breaks] torch._dynamo.exc.Unsupported: Tensor.item
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Signed-off-by: yuwenzho <[email protected]>
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* Adding bias to hipb_mm in gradlib. Expanding gradlib to tune based on bias and dtype captured from the actual capture run
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* Adding bias to hipb_mm in gradlib. Expanding gradlib to tune based on bias and dtype captured from the actual capture run
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see vllm-project#202 Signed-off-by: MengqingCao <[email protected]>
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### What this PR does / why we need it?
The rank returned by `torch.distributed.get_rank(device_group)` is the
local rank, but rank (or rank in process group (PG)) is expected.
Thus we change to use `torch.npu.current_device()` to set device
```python
# difference between `local_rank` and `rank_in_group`:
# if we have a group of size 4 across two nodes:
# Process | Node | Rank | Local Rank | Rank in Group
# 0 | 0 | 0 | 0 | 0
# 1 | 0 | 1 | 1 | 1
# 2 | 1 | 2 | 0 | 2
# 3 | 1 | 3 | 1 | 3
```
Tested by @wwfu109 with
`vllm/tests/distributed/test_customops::test_multi_process_tensor_parallel_pipeline_parallel`
Signed-off-by: MengqingCao <[email protected]>
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Fixes #200
Previously, we erroneously regarded a request (sequence group) has finished when
nout ofbest_ofsequences have finished. This PR fixes the bug.