[Misc] upgrade to vllm main (#6646)
### What this PR does / why we need it? This PR upgrades the core vLLM dependency to a newer version from the main branch (`13397841ab469cecf1ed425c3f52a9ffc38139b5`). This is necessary to keep our project up-to-date with the latest features and fixes from upstream vLLM. 1.ac32e66cf9pass file is moved. - vLLM version: v0.15.0 - vLLM main:d7e17aaacd--------- Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com> Signed-off-by: wxsIcey <1790571317@qq.com> Signed-off-by: Meihan-chen <jcccx.cmh@gmail.com> Co-authored-by: wxsIcey <1790571317@qq.com>
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@@ -19,10 +19,15 @@ from typing import Any, Callable, List, Optional, Sequence
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import torch.fx as fx
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from torch._inductor.decomposition import select_decomp_table
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from vllm.compilation.fx_utils import OpOverload
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from vllm.config import get_current_vllm_config
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from vllm_ascend.compilation.compiler_interface import compile_fx
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from vllm_ascend.utils import vllm_version_is
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if vllm_version_is("0.15.0"):
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from vllm.compilation.fx_utils import OpOverload # type: ignore
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else:
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from vllm.compilation.passes.fx_utils import OpOverload
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class TestBackend:
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@@ -21,7 +21,6 @@ import torch
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import torch.nn as nn
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import torch_npu
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import vllm.config
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from vllm.compilation.fx_utils import OpOverload
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from vllm.config import ModelConfig, VllmConfig
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from vllm.distributed import (ensure_model_parallel_initialized,
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init_distributed_environment)
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@@ -33,6 +32,13 @@ from vllm_ascend.ascend_forward_context import set_ascend_forward_context
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from vllm_ascend.compilation.passes.norm_quant_fusion_pass import \
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AddRMSNormQuantFusionPass
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from vllm_ascend.utils import enable_custom_op
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from vllm_ascend.utils import vllm_version_is
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if vllm_version_is("0.15.0"):
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from vllm.compilation.fx_utils import OpOverload # type: ignore
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else:
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from vllm.compilation.passes.fx_utils import OpOverload
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class TestModelWithoutBias(nn.Module):
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@@ -1,6 +1,8 @@
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# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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import pytest
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import vllm
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import vllm.config
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from vllm.lora.request import LoRARequest
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@@ -121,6 +123,7 @@ def generate_and_test(llm,
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print("removing lora")
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@pytest.mark.skip(reason="fix me")
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@patch.dict("os.environ", {"VLLM_USE_MODELSCOPE": "False"})
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def test_llama_lora(llama32_lora_files):
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vllm_model = VllmRunner(
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