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feat: remove vllm get_rope (#2964)

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This commit is contained in:
Yineng Zhang
2025-01-18 19:38:01 +08:00
committed by GitHub
parent 6f98c586bd
commit 2add697d7a
30 changed files with 1028 additions and 219 deletions
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1180
python/sglang/srt/layers/rotary_embedding.py
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2
python/sglang/srt/models/baichuan.py
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@@ -24,7 +24,6 @@ from typing import Iterable, Optional, Tuple
import torch
from torch import nn
from transformers import PretrainedConfig
from vllm.model_executor.layers.rotary_embedding import get_rope
from sglang.srt.distributed import (
get_tensor_model_parallel_rank,
@@ -40,6 +39,7 @@ from sglang.srt.layers.linear import (
from sglang.srt.layers.logits_processor import LogitsProcessor
from sglang.srt.layers.quantization.base_config import QuantizationConfig
from sglang.srt.layers.radix_attention import RadixAttention
from sglang.srt.layers.rotary_embedding import get_rope
from sglang.srt.layers.vocab_parallel_embedding import (
ParallelLMHead,
VocabParallelEmbedding,

2
python/sglang/srt/models/chatglm.py
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@@ -21,7 +21,6 @@ from typing import Iterable, Optional, Tuple
import torch
from torch import nn
from torch.nn import LayerNorm
from vllm.model_executor.layers.rotary_embedding import get_rope
from sglang.srt.configs import ChatGLMConfig
from sglang.srt.distributed import get_tensor_model_parallel_world_size
@@ -35,6 +34,7 @@ from sglang.srt.layers.linear import (
from sglang.srt.layers.logits_processor import LogitsProcessor
from sglang.srt.layers.quantization.base_config import QuantizationConfig
from sglang.srt.layers.radix_attention import RadixAttention
from sglang.srt.layers.rotary_embedding import get_rope
from sglang.srt.layers.vocab_parallel_embedding import (
ParallelLMHead,
VocabParallelEmbedding,

2
python/sglang/srt/models/commandr.py
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@@ -44,7 +44,6 @@ import torch.utils.checkpoint
from torch import nn
from torch.nn.parameter import Parameter
from transformers import PretrainedConfig
from vllm.model_executor.layers.rotary_embedding import get_rope
from sglang.srt.distributed import (
get_tensor_model_parallel_rank,
@@ -59,6 +58,7 @@ from sglang.srt.layers.linear import (
from sglang.srt.layers.logits_processor import LogitsProcessor
from sglang.srt.layers.quantization.base_config import QuantizationConfig
from sglang.srt.layers.radix_attention import RadixAttention
from sglang.srt.layers.rotary_embedding import get_rope
from sglang.srt.layers.vocab_parallel_embedding import VocabParallelEmbedding
from sglang.srt.model_executor.forward_batch_info import ForwardBatch
from sglang.srt.model_loader.weight_utils import default_weight_loader

2
python/sglang/srt/models/dbrx.py
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@@ -19,7 +19,6 @@ from typing import Iterable, Optional, Tuple
import torch
import torch.nn as nn
from vllm.model_executor.layers.rotary_embedding import get_rope
from sglang.srt.configs import DbrxConfig
from sglang.srt.distributed import (
@@ -36,6 +35,7 @@ from sglang.srt.layers.logits_processor import LogitsProcessor
from sglang.srt.layers.moe.fused_moe_triton import fused_moe
from sglang.srt.layers.quantization.base_config import QuantizationConfig
from sglang.srt.layers.radix_attention import RadixAttention
from sglang.srt.layers.rotary_embedding import get_rope
from sglang.srt.layers.vocab_parallel_embedding import (
DEFAULT_VOCAB_PADDING_SIZE,
ParallelLMHead,

2
python/sglang/srt/models/deepseek.py
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@@ -21,7 +21,6 @@ from typing import Any, Dict, Iterable, Optional, Tuple
import torch
from torch import nn
from transformers import PretrainedConfig
from vllm.model_executor.layers.rotary_embedding import get_rope
from sglang.srt.distributed import (
get_tensor_model_parallel_rank,
@@ -40,6 +39,7 @@ from sglang.srt.layers.logits_processor import LogitsProcessor
from sglang.srt.layers.moe.fused_moe_triton import fused_moe
from sglang.srt.layers.quantization.base_config import QuantizationConfig
from sglang.srt.layers.radix_attention import RadixAttention
from sglang.srt.layers.rotary_embedding import get_rope
from sglang.srt.layers.vocab_parallel_embedding import (
ParallelLMHead,
VocabParallelEmbedding,

5
python/sglang/srt/models/deepseek_v2.py
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@@ -23,7 +23,6 @@ import torch.nn.functional as F
from torch import nn
from transformers import PretrainedConfig
from vllm import _custom_ops as ops
from vllm.model_executor.layers.rotary_embedding import get_rope
from sglang.srt.distributed import (
get_tensor_model_parallel_rank,
@@ -49,7 +48,7 @@ from sglang.srt.layers.quantization.fp8_utils import (
normalize_e4m3fn_to_e4m3fnuz,
)
from sglang.srt.layers.radix_attention import RadixAttention
from sglang.srt.layers.rotary_embedding import get_rope_wrapper
from sglang.srt.layers.rotary_embedding import get_rope
from sglang.srt.layers.vocab_parallel_embedding import (
ParallelLMHead,
VocabParallelEmbedding,
@@ -272,7 +271,7 @@ class DeepseekV2Attention(nn.Module):
quant_config=quant_config,
)
rope_scaling["rope_type"] = "deepseek_yarn"
self.rotary_emb = get_rope_wrapper(
self.rotary_emb = get_rope(
qk_rope_head_dim,
rotary_dim=qk_rope_head_dim,
max_position=max_position_embeddings,

2
python/sglang/srt/models/exaone.py
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@@ -20,7 +20,6 @@ from typing import Any, Dict, Iterable, Optional, Tuple
import torch
from torch import nn
from vllm.model_executor.layers.rotary_embedding import get_rope
from sglang.srt.distributed import get_tensor_model_parallel_world_size
from sglang.srt.layers.activation import SiluAndMul
@@ -33,6 +32,7 @@ from sglang.srt.layers.linear import (
from sglang.srt.layers.logits_processor import LogitsProcessor, LogitsProcessorOutput
from sglang.srt.layers.quantization.base_config import QuantizationConfig
from sglang.srt.layers.radix_attention import RadixAttention
from sglang.srt.layers.rotary_embedding import get_rope
from sglang.srt.layers.vocab_parallel_embedding import (
ParallelLMHead,
VocabParallelEmbedding,

2
python/sglang/srt/models/gemma.py
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@@ -21,7 +21,6 @@ from typing import Iterable, Optional, Tuple
import torch
from torch import nn
from transformers import PretrainedConfig
from vllm.model_executor.layers.rotary_embedding import get_rope
from sglang.srt.distributed import get_tensor_model_parallel_world_size
from sglang.srt.layers.activation import GeluAndMul
@@ -34,6 +33,7 @@ from sglang.srt.layers.linear import (
from sglang.srt.layers.logits_processor import LogitsProcessor
from sglang.srt.layers.quantization.base_config import QuantizationConfig
from sglang.srt.layers.radix_attention import RadixAttention
from sglang.srt.layers.rotary_embedding import get_rope
from sglang.srt.layers.vocab_parallel_embedding import VocabParallelEmbedding
from sglang.srt.model_executor.forward_batch_info import ForwardBatch
from sglang.srt.model_loader.weight_utils import default_weight_loader

8
python/sglang/srt/models/gemma2.py
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@@ -15,12 +15,11 @@
# Adapted from:
# https://github.com/vllm-project/vllm/blob/56b325e977435af744f8b3dca7af0ca209663558/vllm/model_executor/models/gemma2.py
from typing import Iterable, Optional, Set, Tuple, Union
from typing import Iterable, Optional, Set, Tuple
import torch
from torch import nn
from transformers import PretrainedConfig
from vllm.model_executor.layers.rotary_embedding import get_rope
from sglang.srt.distributed import get_tensor_model_parallel_world_size
from sglang.srt.layers.activation import GeluAndMul
@@ -33,6 +32,7 @@ from sglang.srt.layers.linear import (
from sglang.srt.layers.logits_processor import LogitsProcessor
from sglang.srt.layers.quantization.base_config import QuantizationConfig
from sglang.srt.layers.radix_attention import RadixAttention
from sglang.srt.layers.rotary_embedding import get_rope
from sglang.srt.layers.vocab_parallel_embedding import VocabParallelEmbedding
from sglang.srt.model_executor.forward_batch_info import ForwardBatch
from sglang.srt.model_loader.weight_utils import default_weight_loader
@@ -45,10 +45,6 @@ def get_attention_sliding_window_size(config):
return config.sliding_window - 1
# FIXME: temporary solution, remove after next vllm release
from vllm.model_executor.layers.rotary_embedding import RotaryEmbedding
class Gemma2MLP(nn.Module):
def __init__(
self,

2
python/sglang/srt/models/gpt2.py
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@@ -25,8 +25,6 @@ from transformers import GPT2Config
from sglang.srt.distributed.parallel_state import get_tensor_model_parallel_world_size
from sglang.srt.layers.activation import get_act_fn
# from sglang.srt.layers.activation import get_act_fn
from sglang.srt.layers.linear import (
ColumnParallelLinear,
QKVParallelLinear,

2
python/sglang/srt/models/granite.py
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@@ -22,7 +22,6 @@ from typing import Any, Dict, Iterable, Optional, Tuple
import torch
from torch import nn
from transformers import GraniteConfig
from vllm.model_executor.layers.rotary_embedding import get_rope
from sglang.srt.distributed import get_tensor_model_parallel_world_size
from sglang.srt.layers.activation import SiluAndMul
@@ -36,6 +35,7 @@ from sglang.srt.layers.logits_processor import LogitsProcessor, LogitsProcessorO
from sglang.srt.layers.pooler import Pooler, PoolingType
from sglang.srt.layers.quantization.base_config import QuantizationConfig
from sglang.srt.layers.radix_attention import RadixAttention
from sglang.srt.layers.rotary_embedding import get_rope
from sglang.srt.layers.vocab_parallel_embedding import (
ParallelLMHead,
VocabParallelEmbedding,

2
python/sglang/srt/models/grok.py
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@@ -22,7 +22,6 @@ import torch
import torch.nn.functional as F
from torch import nn
from transformers import PretrainedConfig
from vllm.model_executor.layers.rotary_embedding import get_rope
from sglang.srt.distributed import (
get_tensor_model_parallel_rank,
@@ -40,6 +39,7 @@ from sglang.srt.layers.logits_processor import LogitsProcessor
from sglang.srt.layers.moe.fused_moe_triton import FusedMoE
from sglang.srt.layers.quantization.base_config import QuantizationConfig
from sglang.srt.layers.radix_attention import RadixAttention
from sglang.srt.layers.rotary_embedding import get_rope
from sglang.srt.layers.vocab_parallel_embedding import (
ParallelLMHead,
VocabParallelEmbedding,

2
python/sglang/srt/models/internlm2.py
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@@ -19,7 +19,6 @@ from typing import Any, Dict, Iterable, Optional, Tuple
import torch
from torch import nn
from transformers import PretrainedConfig
from vllm.model_executor.layers.rotary_embedding import get_rope
from sglang.srt.distributed import get_tensor_model_parallel_world_size
from sglang.srt.layers.activation import SiluAndMul
@@ -32,6 +31,7 @@ from sglang.srt.layers.linear import (
from sglang.srt.layers.logits_processor import LogitsProcessor
from sglang.srt.layers.quantization.base_config import QuantizationConfig
from sglang.srt.layers.radix_attention import RadixAttention
from sglang.srt.layers.rotary_embedding import get_rope
from sglang.srt.layers.vocab_parallel_embedding import (
ParallelLMHead,
VocabParallelEmbedding,

2
python/sglang/srt/models/llama.py
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@@ -22,7 +22,6 @@ from typing import Any, Dict, Iterable, Optional, Tuple
import torch
from torch import nn
from transformers import LlamaConfig
from vllm.model_executor.layers.rotary_embedding import get_rope
from sglang.srt.distributed import (
get_tensor_model_parallel_rank,
@@ -39,6 +38,7 @@ from sglang.srt.layers.logits_processor import LogitsProcessor, LogitsProcessorO
from sglang.srt.layers.pooler import Pooler, PoolingType
from sglang.srt.layers.quantization.base_config import QuantizationConfig
from sglang.srt.layers.radix_attention import RadixAttention
from sglang.srt.layers.rotary_embedding import get_rope
from sglang.srt.layers.vocab_parallel_embedding import (
ParallelLMHead,
VocabParallelEmbedding,

2
python/sglang/srt/models/minicpm.py
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@@ -18,7 +18,6 @@ from typing import Any, Dict, Iterable, Optional, Tuple
import torch
from torch import nn
from vllm.model_executor.layers.rotary_embedding import get_rope
from sglang.srt.distributed import get_tensor_model_parallel_world_size
from sglang.srt.layers.activation import SiluAndMul
@@ -31,6 +30,7 @@ from sglang.srt.layers.linear import (
from sglang.srt.layers.logits_processor import LogitsProcessor
from sglang.srt.layers.quantization.base_config import QuantizationConfig
from sglang.srt.layers.radix_attention import RadixAttention
from sglang.srt.layers.rotary_embedding import get_rope
from sglang.srt.layers.vocab_parallel_embedding import (
ParallelLMHead,
VocabParallelEmbedding,

2
python/sglang/srt/models/minicpm3.py
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@@ -19,7 +19,6 @@ from typing import Any, Dict, Iterable, Optional, Tuple
import torch
from torch import nn
from transformers import PretrainedConfig
from vllm.model_executor.layers.rotary_embedding import get_rope
from sglang.srt.distributed import get_tensor_model_parallel_world_size
from sglang.srt.layers.activation import SiluAndMul
@@ -33,6 +32,7 @@ from sglang.srt.layers.linear import (
from sglang.srt.layers.logits_processor import LogitsProcessor
from sglang.srt.layers.quantization.base_config import QuantizationConfig
from sglang.srt.layers.radix_attention import RadixAttention
from sglang.srt.layers.rotary_embedding import get_rope
from sglang.srt.layers.vocab_parallel_embedding import (
ParallelLMHead,
VocabParallelEmbedding,

2
python/sglang/srt/models/mixtral.py
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@@ -21,7 +21,6 @@ from typing import Iterable, Optional, Tuple
import torch
from torch import nn
from transformers import MixtralConfig
from vllm.model_executor.layers.rotary_embedding import get_rope
from sglang.srt.distributed import (
get_tensor_model_parallel_world_size,
@@ -38,6 +37,7 @@ from sglang.srt.layers.moe.ep_moe.layer import EPMoE
from sglang.srt.layers.moe.fused_moe_triton import FusedMoE
from sglang.srt.layers.quantization.base_config import QuantizationConfig
from sglang.srt.layers.radix_attention import RadixAttention
from sglang.srt.layers.rotary_embedding import get_rope
from sglang.srt.layers.vocab_parallel_embedding import (
ParallelLMHead,
VocabParallelEmbedding,

2
python/sglang/srt/models/mixtral_quant.py
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@@ -23,7 +23,6 @@ import torch
import torch.nn.functional as F
from torch import nn
from transformers import MixtralConfig
from vllm.model_executor.layers.rotary_embedding import get_rope
from sglang.srt.distributed import (
get_tensor_model_parallel_rank,
@@ -39,6 +38,7 @@ from sglang.srt.layers.linear import (
from sglang.srt.layers.logits_processor import LogitsProcessor
from sglang.srt.layers.quantization.base_config import QuantizationConfig
from sglang.srt.layers.radix_attention import RadixAttention
from sglang.srt.layers.rotary_embedding import get_rope
from sglang.srt.layers.vocab_parallel_embedding import (
ParallelLMHead,
VocabParallelEmbedding,

2
python/sglang/srt/models/olmo.py
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@@ -20,7 +20,6 @@ from typing import Iterable, Optional, Tuple
import torch
from torch import nn
from transformers import OlmoConfig
from vllm.model_executor.layers.rotary_embedding import get_rope
from sglang.srt.distributed import get_tensor_model_parallel_world_size
from sglang.srt.layers.activation import SiluAndMul
@@ -32,6 +31,7 @@ from sglang.srt.layers.linear import (
from sglang.srt.layers.logits_processor import LogitsProcessor
from sglang.srt.layers.quantization.base_config import QuantizationConfig
from sglang.srt.layers.radix_attention import RadixAttention
from sglang.srt.layers.rotary_embedding import get_rope
from sglang.srt.layers.vocab_parallel_embedding import (
ParallelLMHead,
VocabParallelEmbedding,

2
python/sglang/srt/models/olmo2.py
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@@ -21,7 +21,6 @@ from typing import Iterable, Optional, Tuple
import torch
from torch import nn
from transformers import PretrainedConfig
from vllm.model_executor.layers.rotary_embedding import get_rope
from sglang.srt.distributed import (
get_tensor_model_parallel_rank,
@@ -39,6 +38,7 @@ from sglang.srt.layers.linear import (
from sglang.srt.layers.logits_processor import LogitsProcessor
from sglang.srt.layers.quantization.base_config import QuantizationConfig
from sglang.srt.layers.radix_attention import RadixAttention
from sglang.srt.layers.rotary_embedding import get_rope
from sglang.srt.layers.vocab_parallel_embedding import (
ParallelLMHead,
VocabParallelEmbedding,

2
python/sglang/srt/models/olmoe.py
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@@ -22,7 +22,6 @@ from typing import Any, Dict, Iterable, Optional, Tuple
import torch
from torch import nn
from transformers import PretrainedConfig
from vllm.model_executor.layers.rotary_embedding import get_rope
from sglang.srt.distributed import get_tensor_model_parallel_world_size
from sglang.srt.layers.layernorm import RMSNorm
@@ -35,6 +34,7 @@ from sglang.srt.layers.logits_processor import LogitsProcessor
from sglang.srt.layers.moe.fused_moe_triton import FusedMoE
from sglang.srt.layers.quantization.base_config import QuantizationConfig
from sglang.srt.layers.radix_attention import RadixAttention
from sglang.srt.layers.rotary_embedding import get_rope
from sglang.srt.layers.vocab_parallel_embedding import (
ParallelLMHead,
VocabParallelEmbedding,

2
python/sglang/srt/models/phi3_small.py
View File

@@ -5,7 +5,6 @@ import torch
from torch import nn
from transformers import Phi3Config
from transformers.configuration_utils import PretrainedConfig
from vllm.model_executor.layers.rotary_embedding import get_rope
from sglang.srt.distributed import get_tensor_model_parallel_world_size
from sglang.srt.layers.linear import (
@@ -17,6 +16,7 @@ from sglang.srt.layers.logits_processor import LogitsProcessor, LogitsProcessorO
from sglang.srt.layers.pooler import Pooler, PoolingType
from sglang.srt.layers.quantization.base_config import QuantizationConfig
from sglang.srt.layers.radix_attention import RadixAttention
from sglang.srt.layers.rotary_embedding import get_rope
from sglang.srt.layers.vocab_parallel_embedding import (
DEFAULT_VOCAB_PADDING_SIZE,
ParallelLMHead,

2
python/sglang/srt/models/qwen.py
View File

@@ -20,7 +20,6 @@ from typing import Any, Dict, Iterable, Optional, Tuple
import torch
from torch import nn
from transformers import PretrainedConfig
from vllm.model_executor.layers.rotary_embedding import get_rope
from sglang.srt.distributed import get_tensor_model_parallel_world_size
from sglang.srt.layers.activation import SiluAndMul
@@ -33,6 +32,7 @@ from sglang.srt.layers.linear import (
from sglang.srt.layers.logits_processor import LogitsProcessor
from sglang.srt.layers.quantization.base_config import QuantizationConfig
from sglang.srt.layers.radix_attention import RadixAttention
from sglang.srt.layers.rotary_embedding import get_rope
from sglang.srt.layers.vocab_parallel_embedding import (
ParallelLMHead,
VocabParallelEmbedding,

2
python/sglang/srt/models/qwen2.py
View File

@@ -20,7 +20,6 @@ from typing import Any, Dict, Iterable, Optional, Tuple
import torch
from torch import nn
from vllm.model_executor.layers.rotary_embedding import get_rope
from sglang.srt.distributed import (
get_tensor_model_parallel_rank,
@@ -37,6 +36,7 @@ from sglang.srt.layers.logits_processor import LogitsProcessor
from sglang.srt.layers.pooler import Pooler, PoolingType
from sglang.srt.layers.quantization.base_config import QuantizationConfig
from sglang.srt.layers.radix_attention import RadixAttention
from sglang.srt.layers.rotary_embedding import get_rope
from sglang.srt.layers.vocab_parallel_embedding import (
ParallelLMHead,
VocabParallelEmbedding,

2
python/sglang/srt/models/qwen2_moe.py
View File

@@ -22,7 +22,6 @@ import torch
import torch.nn.functional as F
from torch import nn
from transformers import PretrainedConfig
from vllm.model_executor.layers.rotary_embedding import get_rope
from sglang.srt.distributed import (
get_tensor_model_parallel_world_size,
@@ -40,6 +39,7 @@ from sglang.srt.layers.logits_processor import LogitsProcessor
from sglang.srt.layers.moe.fused_moe_triton import FusedMoE
from sglang.srt.layers.quantization.base_config import QuantizationConfig
from sglang.srt.layers.radix_attention import RadixAttention
from sglang.srt.layers.rotary_embedding import get_rope
from sglang.srt.layers.vocab_parallel_embedding import (
ParallelLMHead,
VocabParallelEmbedding,

2
python/sglang/srt/models/stablelm.py
View File

@@ -24,7 +24,6 @@ from typing import Iterable, Optional, Tuple
import torch
from torch import nn
from transformers import PretrainedConfig
from vllm.model_executor.layers.rotary_embedding import get_rope
from sglang.srt.distributed import get_tensor_model_parallel_world_size
from sglang.srt.layers.activation import SiluAndMul
@@ -36,6 +35,7 @@ from sglang.srt.layers.linear import (
from sglang.srt.layers.logits_processor import LogitsProcessor
from sglang.srt.layers.quantization.base_config import QuantizationConfig
from sglang.srt.layers.radix_attention import RadixAttention
from sglang.srt.layers.rotary_embedding import get_rope
from sglang.srt.layers.vocab_parallel_embedding import (
ParallelLMHead,
VocabParallelEmbedding,

2
python/sglang/srt/models/torch_native_llama.py
View File

@@ -47,7 +47,6 @@ import torch
from torch import nn
from torch.nn.parameter import Parameter
from transformers import LlamaConfig
from vllm.model_executor.layers.rotary_embedding import get_rope
from sglang.srt.distributed import (
get_tensor_model_parallel_rank,
@@ -58,6 +57,7 @@ from sglang.srt.layers.layernorm import RMSNorm
from sglang.srt.layers.logits_processor import LogitsProcessor, LogitsProcessorOutput
from sglang.srt.layers.quantization.base_config import QuantizationConfig
from sglang.srt.layers.radix_attention import RadixAttention
from sglang.srt.layers.rotary_embedding import get_rope
from sglang.srt.layers.vocab_parallel_embedding import (
ParallelLMHead,
VocabParallelEmbedding,

2
python/sglang/srt/models/xverse.py
View File

@@ -21,7 +21,6 @@ from typing import Any, Dict, Iterable, Optional, Tuple
import torch
from torch import nn
from transformers import LlamaConfig
from vllm.model_executor.layers.rotary_embedding import get_rope
from sglang.srt.distributed import get_tensor_model_parallel_world_size
from sglang.srt.layers.activation import SiluAndMul
@@ -34,6 +33,7 @@ from sglang.srt.layers.linear import (
from sglang.srt.layers.logits_processor import LogitsProcessor
from sglang.srt.layers.quantization.base_config import QuantizationConfig
from sglang.srt.layers.radix_attention import RadixAttention
from sglang.srt.layers.rotary_embedding import get_rope
from sglang.srt.layers.vocab_parallel_embedding import (
ParallelLMHead,
VocabParallelEmbedding,

2
python/sglang/srt/models/xverse_moe.py
View File

@@ -18,7 +18,6 @@ from typing import Any, Dict, Iterable, Optional, Tuple
import torch
from torch import nn
from transformers import PretrainedConfig
from vllm.model_executor.layers.rotary_embedding import get_rope
from sglang.srt.distributed import (
get_tensor_model_parallel_rank,
@@ -37,6 +36,7 @@ from sglang.srt.layers.logits_processor import LogitsProcessor
from sglang.srt.layers.moe.fused_moe_triton import fused_moe
from sglang.srt.layers.quantization.base_config import QuantizationConfig
from sglang.srt.layers.radix_attention import RadixAttention
from sglang.srt.layers.rotary_embedding import get_rope
from sglang.srt.layers.vocab_parallel_embedding import (
ParallelLMHead,
VocabParallelEmbedding,