remove vllm version from git hash to tag

python/sglang/srt/_custom_ops.py

@@ -1,4 +1,4 @@
-# Adapted from https://github.com/vllm-project/vllm/blob/a6221a144af772fd1a68fe7e627935dc53e81738/vllm/_custom_ops.py
+# Adapted from https://github.com/vllm-project/vllm/blob/v0.6.4.post1/vllm/_custom_ops.py
 import contextlib
 import functools
 import importlib

python/sglang/srt/distributed/__init__.py

@@ -1,3 +1,3 @@
-from .communication_op import *
-from .parallel_state import *
-from .utils import *
+from sglang.srt.distributed.communication_op import *
+from sglang.srt.distributed.parallel_state import *
+from sglang.srt.distributed.utils import *

python/sglang/srt/distributed/communication_op.py

@@ -1,10 +1,10 @@
-# Adapted from https://github.com/vllm-project/vllm/blob/a6221a144af772fd1a68fe7e627935dc53e81738/vllm/distributed/communication_op.py
+# Adapted from https://github.com/vllm-project/vllm/blob/v0.6.4.post1/vllm/distributed/communication_op.py
 from typing import Any, Dict, Optional, Union
 
 import torch
 import torch.distributed
 
-from .parallel_state import get_tp_group
+from sglang.srt.distributed.parallel_state import get_tp_group
 
 
 def tensor_model_parallel_all_reduce(input_: torch.Tensor) -> torch.Tensor:

python/sglang/srt/distributed/device_communicators/cuda_wrapper.py

@@ -1,4 +1,4 @@
-# Adapted from https://github.com/vllm-project/vllm/blob/a6221a144af772fd1a68fe7e627935dc53e81738/vllm/distributed/device_communicators/cuda_wrapper.py
+# Adapted from https://github.com/vllm-project/vllm/blob/v0.6.4.post1/vllm/distributed/device_communicators/cuda_wrapper.py
 """This file is a pure Python wrapper for the cudart library.
 It avoids the need to compile a separate shared library, and is
 convenient for use when we just need to call a few functions.

python/sglang/srt/distributed/device_communicators/custom_all_reduce_utils.py

@@ -1,4 +1,4 @@
-# Adapted from https://github.com/vllm-project/vllm/blob/a6221a144af772fd1a68fe7e627935dc53e81738/vllm/distributed/device_communicators/custom_all_reduce_utils.py
+# Adapted from https://github.com/vllm-project/vllm/blob/v0.6.4.post1/vllm/distributed/device_communicators/custom_all_reduce_utils.py
 import ctypes
 import json
 import logging

python/sglang/srt/distributed/device_communicators/hpu_communicator.py

@@ -1,4 +1,4 @@
-# Adapted from https://github.com/vllm-project/vllm/blob/a6221a144af772fd1a68fe7e627935dc53e81738/vllm/distributed/device_communicators/hpu_communicator.py
+# Adapted from https://github.com/vllm-project/vllm/blob/v0.6.4.post1/vllm/distributed/device_communicators/hpu_communicator.py
 import torch
 import torch.distributed as dist
 from torch.distributed import ProcessGroup

python/sglang/srt/distributed/device_communicators/pynccl.py

@@ -1,4 +1,4 @@
-# Adapted from https://github.com/vllm-project/vllm/blob/a6221a144af772fd1a68fe7e627935dc53e81738/vllm/distributed/device_communicators/pynccl.py
+# Adapted from https://github.com/vllm-project/vllm/blob/v0.6.4.post1/vllm/distributed/device_communicators/pynccl.py
 import logging
 from contextlib import contextmanager
 from typing import Optional, Union

python/sglang/srt/distributed/device_communicators/pynccl_wrapper.py

@@ -1,4 +1,4 @@
-# Adapted from https://github.com/vllm-project/vllm/blob/a6221a144af772fd1a68fe7e627935dc53e81738/vllm/distributed/device_communicators/pynccl.py
+# Adapted from https://github.com/vllm-project/vllm/blob/v0.6.4.post1/vllm/distributed/device_communicators/pynccl.py
 
 # This file is a pure Python wrapper for the NCCL library.
 # The main purpose is to use NCCL combined with CUDA graph.

python/sglang/srt/distributed/device_communicators/shm_broadcast.py

@@ -1,4 +1,4 @@
-# Adapted from https://github.com/vllm-project/vllm/blob/a6221a144af772fd1a68fe7e627935dc53e81738/vllm/distributed/device_communicators/shm_broadcast.py
+# Adapted from https://github.com/vllm-project/vllm/blob/v0.6.4.post1/vllm/distributed/device_communicators/shm_broadcast.py
 import ipaddress
 import logging
 import os

python/sglang/srt/distributed/device_communicators/xpu_communicator.py

@@ -1,4 +1,4 @@
-# Adapted from https://github.com/vllm-project/vllm/blob/a6221a144af772fd1a68fe7e627935dc53e81738/vllm/distributed/device_communicators/xpu_communicator.py
+# Adapted from https://github.com/vllm-project/vllm/blob/v0.6.4.post1/vllm/distributed/device_communicators/xpu_communicator.py
 import torch
 import torch.distributed as dist
 from torch.distributed import ProcessGroup

python/sglang/srt/distributed/parallel_state.py

@@ -1,4 +1,4 @@
-# Adapted from https://github.com/vllm-project/vllm/blob/a6221a144af772fd1a68fe7e627935dc53e81738/vllm/distributed/parallel_state.py
+# Adapted from https://github.com/vllm-project/vllm/blob/v0.6.4.post1/vllm/distributed/parallel_state.py
 
 # Copyright 2023 The vLLM team.
 # Adapted from

python/sglang/srt/distributed/utils.py

@@ -1,4 +1,4 @@
-# Adapted from https://github.com/vllm-project/vllm/blob/a6221a144af772fd1a68fe7e627935dc53e81738/vllm/distributed/utils.py
+# Adapted from https://github.com/vllm-project/vllm/blob/v0.6.4.post1/vllm/distributed/utils.py
 # Copyright 2023 The vLLM team.
 # Adapted from
 # https://github.com/NVIDIA/Megatron-LM/blob/main/megatron/core/tensor_parallel/utils.py

python/sglang/srt/layers/fused_moe_triton/fused_moe.py

@@ -1,4 +1,4 @@
-# Adapted from https://github.com/vllm-project/vllm/blob/a6221a144af772fd1a68fe7e627935dc53e81738/vllm/model_executor/layers/fused_moe/fused_moe.py
+# Adapted from https://github.com/vllm-project/vllm/blob/v0.6.4.post1/vllm/model_executor/layers/fused_moe/fused_moe.py
 
 """Fused MoE kernel."""
 

python/sglang/srt/layers/fused_moe_triton/layer.py

@@ -1,4 +1,4 @@
-# Adapted from https://github.com/vllm-project/vllm/blob/a6221a144af772fd1a68fe7e627935dc53e81738/vllm/model_executor/layers/fused_moe/layer.py
+# Adapted from https://github.com/vllm-project/vllm/blob/v0.6.4.post1/vllm/model_executor/layers/fused_moe/layer.py
 
 from abc import abstractmethod
 from enum import Enum

python/sglang/srt/utils.py

@@ -1230,7 +1230,7 @@ def _cuda_device_count_stateless(cuda_visible_devices: Optional[str] = None) ->
     return r
 
 
-# Adapted from https://github.com/vllm-project/vllm/blob/a6221a144af772fd1a68fe7e627935dc53e81738/vllm/utils.py
+# Adapted from https://github.com/vllm-project/vllm/blob/v0.6.4.post1/vllm/utils.py
 def cuda_device_count_stateless() -> int:
     """Get number of CUDA devices, caching based on the value of
     CUDA_VISIBLE_DEVICES at the time of call.