[Feature] support aclgraph for model runner v2 (#7110)
### What this PR does / why we need it?
This PR aims to support aclgraph for model runner v2, please see RFC
#5208. The PR contains these modifications:
- adapt to newest commit of vllm main branch.
- supply a unified interface of extra forward context for both model
runner v1 and model runner v2.
- implement graph mode for main model.
### Does this PR introduce _any_ user-facing change?
no
### How was this patch tested?
- vLLM version: v0.16.0
- vLLM main:
4034c3d32e
---------
Signed-off-by: Ronald1995 <ronaldautomobile@163.com>
This commit is contained in:
@@ -32,7 +32,7 @@ class TestPrepareAndFinalize(unittest.TestCase):
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@patch(
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"vllm_ascend.ops.fused_moe.prepare_finalize.get_tensor_model_parallel_rank",
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return_value=0)
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@patch("vllm_ascend.ops.fused_moe.prepare_finalize.get_forward_context")
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@patch('vllm_ascend.ascend_forward_context.get_forward_context')
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def test_mc2_prepare_finalize(self, mock_get_forward_context, mock_tp_rank,
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mock_tp_size):
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mock_context = MagicMock()
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@@ -65,7 +65,7 @@ class TestPrepareAndFinalize(unittest.TestCase):
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@patch(
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"vllm_ascend.ops.fused_moe.prepare_finalize.get_tensor_model_parallel_rank",
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return_value=0)
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@patch("vllm_ascend.ops.fused_moe.prepare_finalize.get_forward_context")
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@patch('vllm_ascend.ascend_forward_context.get_forward_context')
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@patch("torch.distributed.all_gather")
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def test_mc2_tp_split_allgather(self, mock_all_gather,
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mock_get_forward_context, mock_tp_rank,
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@@ -169,7 +169,7 @@ class TestPrepareAndFinalize(unittest.TestCase):
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self.assertEqual(final_result.shape[0], 2)
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@patch("vllm_ascend.ops.fused_moe.prepare_finalize.get_dp_group")
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@patch("vllm_ascend.ops.fused_moe.prepare_finalize.get_forward_context")
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@patch('vllm_ascend.ascend_forward_context.get_forward_context')
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@patch("vllm_ascend.ops.fused_moe.prepare_finalize.enable_sp",
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return_value=False)
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def test_allgather_prepare_finalize(self, mock_enable_sp,
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