repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
value | license stringclasses 7
values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/__init__.py | colossalai/inference/__init__.py | from .config import InferenceConfig
from .core import InferenceEngine
__all__ = ["InferenceConfig", "InferenceEngine"]
| python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/batch_bucket.py | colossalai/inference/batch_bucket.py | from typing import Callable, List, Optional, Tuple, Union
import torch
from colossalai.inference.struct import Sequence
from colossalai.utils import get_current_device
class BatchBucket:
"""Container for a batch of Sequences, which is used to manage the batch of sequences.
Attrs:
_sequences_dict (D... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/kv_cache/kvcache_manager.py | colossalai/inference/kv_cache/kvcache_manager.py | from typing import List, Tuple
import torch
from transformers.configuration_utils import PretrainedConfig
from colossalai.inference.config import InferenceConfig
from colossalai.inference.struct import Sequence
from colossalai.logging import get_dist_logger
from colossalai.utils import get_current_device
from .block... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/kv_cache/__init__.py | colossalai/inference/kv_cache/__init__.py | from .block_cache import CacheBlock
from .kvcache_manager import KVCacheManager, RPCKVCacheManager
__all__ = ["CacheBlock", "KVCacheManager", "RPCKVCacheManager"]
| python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/kv_cache/block_cache.py | colossalai/inference/kv_cache/block_cache.py | from typing import Any
__all__ = ["CacheBlock"]
class CacheBlock:
"""A simplified version of logical cache block used for Paged Attention."""
def __init__(self, block_id: int, block_size: int, elem_size: int, k_ptrs: Any = None, v_ptrs: Any = None):
# Unique id of a cache block
self.block_id... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/modeling/__init__.py | colossalai/inference/modeling/__init__.py | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false | |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/modeling/models/pixart_alpha.py | colossalai/inference/modeling/models/pixart_alpha.py | # Code adapted from:
# https://github.com/huggingface/diffusers/blob/v0.29.0-release/src/diffusers/pipelines/pixart_alpha/pipeline_pixart_alpha.py
from typing import Callable, List, Optional, Union
import PIL.Image
import torch
from diffusers.pipelines.pixart_alpha.pipeline_pixart_alpha import (
ASPECT_RATIO_256_... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/modeling/models/stablediffusion3.py | colossalai/inference/modeling/models/stablediffusion3.py | # This code is adapted from huggingface diffusers: https://github.com/huggingface/diffusers/blob/v0.29.0-release/src/diffusers/pipelines/stable_diffusion_3/pipeline_stable_diffusion_3.py
from typing import Any, Callable, Dict, List, Optional, Union
import torch
from diffusers.pipelines.stable_diffusion_3.pipeline_stab... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/modeling/models/__init__.py | colossalai/inference/modeling/models/__init__.py | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false | |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/modeling/models/glide_llama.py | colossalai/inference/modeling/models/glide_llama.py | # This is modified from huggingface transformers
# https://github.com/huggingface/transformers/blob/v4.36.2/src/transformers/models/llama/modeling_llama.py
import warnings
from types import MethodType
from typing import List, Optional, Tuple, Union
import torch
import torch.nn as nn
from transformers.cache_utils impor... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/modeling/models/nopadding_baichuan.py | colossalai/inference/modeling/models/nopadding_baichuan.py | # This code is adapted from huggingface baichuan model: hhttps://huggingface.co/baichuan-inc/Baichuan2-13B-Base/blob/main/modeling_baichuan.py
from typing import List, Optional, Tuple, Union
import torch
import torch.nn as nn
from torch.distributed import ProcessGroup
from colossalai.accelerator import get_accelerato... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/modeling/models/nopadding_llama.py | colossalai/inference/modeling/models/nopadding_llama.py | # This code is adapted from huggingface transformers: https://github.com/huggingface/transformers/blob/v4.34.1/src/transformers/models/llama/modeling_llama.py
import itertools
from typing import List, Optional, Tuple, Union
import torch
import torch.nn.functional as F
from torch import nn
from torch.distributed import... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/modeling/layers/baichuan_tp_linear.py | colossalai/inference/modeling/layers/baichuan_tp_linear.py | from typing import List, Union
import torch.distributed as dist
import torch.nn as nn
from torch.distributed import ProcessGroup
from colossalai.lazy import LazyInitContext
from colossalai.shardformer.layer import Linear1D_Col
from colossalai.shardformer.layer.parallel_module import ParallelModule
class BaichuanLMH... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/modeling/layers/diffusion.py | colossalai/inference/modeling/layers/diffusion.py | import inspect
import types
import torch
from torch import nn
class DiffusionPipe(nn.Module):
"""
This Class convert a class of `DiffusionPipeline` into `nn.Module` and reserve most of origin attr,function and property.
"""
def __init__(self, source_obj) -> None:
super(DiffusionPipe, self)._... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/modeling/layers/distrifusion.py | colossalai/inference/modeling/layers/distrifusion.py | # Code refer and adapted from:
# https://github.com/huggingface/diffusers/blob/v0.29.0-release/src/diffusers
# https://github.com/PipeFusion/PipeFusion
import inspect
from typing import Any, Dict, List, Optional, Tuple, Union
import torch
import torch.distributed as dist
import torch.nn.functional as F
from diffusers... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/modeling/layers/__init__.py | colossalai/inference/modeling/layers/__init__.py | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false | |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/modeling/layers/attention.py | colossalai/inference/modeling/layers/attention.py | import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from transformers.modeling_attn_mask_utils import AttentionMaskConverter
def copy_to_cache(source, cache, lengths, block_tables, type: str = "prefill"):
"""
Func: copy key/value into key/value cache.
Args: key/value(source)... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/modeling/backends/__init__.py | colossalai/inference/modeling/backends/__init__.py | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false | |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/modeling/backends/attention_backend.py | colossalai/inference/modeling/backends/attention_backend.py | from abc import ABC, abstractmethod
from dataclasses import dataclass
import torch
from colossalai.inference.config import ModelShardInferenceConfig
from colossalai.kernel.kernel_loader import InferenceOpsLoader
from colossalai.kernel.triton import context_attention_unpadded, flash_decoding_attention
@dataclass
cla... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/modeling/backends/pre_attention_backend.py | colossalai/inference/modeling/backends/pre_attention_backend.py | from abc import ABC, abstractmethod
from colossalai.inference.config import ModelShardInferenceConfig
from colossalai.inference.modeling.backends.attention_backend import AttentionMetaData
from colossalai.kernel.kernel_loader import InferenceOpsLoader
from colossalai.kernel.triton import copy_k_to_blocked_cache, decod... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/modeling/policy/pixart_alpha.py | colossalai/inference/modeling/policy/pixart_alpha.py | from diffusers.models.attention import BasicTransformerBlock
from diffusers.models.transformers.pixart_transformer_2d import PixArtTransformer2DModel
from torch import nn
from colossalai.inference.config import RPC_PARAM
from colossalai.inference.modeling.layers.diffusion import DiffusionPipe
from colossalai.inference... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/modeling/policy/stablediffusion3.py | colossalai/inference/modeling/policy/stablediffusion3.py | from diffusers.models.attention import JointTransformerBlock
from diffusers.models.transformers import SD3Transformer2DModel
from torch import nn
from colossalai.inference.config import RPC_PARAM
from colossalai.inference.modeling.layers.diffusion import DiffusionPipe
from colossalai.inference.modeling.layers.distrifu... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/modeling/policy/__init__.py | colossalai/inference/modeling/policy/__init__.py | from .glide_llama import GlideLlamaModelPolicy
from .nopadding_baichuan import NoPaddingBaichuanModelInferPolicy
from .nopadding_llama import NoPaddingLlamaModelInferPolicy
from .pixart_alpha import PixArtAlphaInferPolicy
from .stablediffusion3 import StableDiffusion3InferPolicy
model_policy_map = {
"nopadding_lla... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/modeling/policy/glide_llama.py | colossalai/inference/modeling/policy/glide_llama.py | from transformers.models.llama.modeling_llama import LlamaForCausalLM, LlamaModel
from colossalai.inference.modeling.models.glide_llama import (
GlideLlamaDecoderLayer,
glide_llama_causal_lm_forward,
glide_llama_model_forward,
)
from colossalai.inference.utils import init_to_get_rotary
from colossalai.shar... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/modeling/policy/nopadding_baichuan.py | colossalai/inference/modeling/policy/nopadding_baichuan.py | from colossalai.inference.config import RPC_PARAM
from colossalai.inference.modeling.layers.baichuan_tp_linear import BaichuanLMHeadLinear1D_Col
from colossalai.inference.modeling.models.nopadding_baichuan import (
NopadBaichuanAttention,
NopadBaichuanMLP,
baichuan_rmsnorm_forward,
)
from colossalai.inferen... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/modeling/policy/nopadding_llama.py | colossalai/inference/modeling/policy/nopadding_llama.py | from transformers.models.llama.modeling_llama import LlamaDecoderLayer, LlamaForCausalLM, LlamaModel, LlamaRMSNorm
from colossalai.inference.config import RPC_PARAM
from colossalai.inference.modeling.models.nopadding_llama import (
NopadLlamaAttention,
NopadLlamaMLP,
llama_causal_lm_forward,
llama_deco... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/spec/struct.py | colossalai/inference/spec/struct.py | from dataclasses import dataclass
from typing import Optional, Tuple
import torch
@dataclass
class DrafterOutput:
"""
Dataclass for drafter model outputs.
Args:
speculated_length (int): Speculated length of the output sequence
It is always less than or equal to spec_num during drafte... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/spec/drafter.py | colossalai/inference/spec/drafter.py | from typing import Optional, Tuple
import torch
import torch.nn as nn
from transformers import PreTrainedTokenizer
from transformers.cache_utils import DynamicCache
from colossalai.utils import get_current_device
from .struct import DrafterOutput, GlideInput
class Drafter:
"""Container for the Drafter Model (A... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/spec/__init__.py | colossalai/inference/spec/__init__.py | from .drafter import Drafter
from .struct import DrafterOutput, GlideInput
__all__ = ["Drafter", "DrafterOutput", "GlideInput"]
| python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/executor/__init__.py | colossalai/inference/executor/__init__.py | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false | |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/executor/rpc_worker.py | colossalai/inference/executor/rpc_worker.py | from typing import List, Tuple, Union
import rpyc
import torch
import torch.distributed as dist
from torch import nn
from transformers import AutoConfig, AutoModelForCausalLM
from transformers.models.llama.modeling_llama import LlamaForCausalLM
import colossalai
from colossalai.accelerator import get_accelerator
from... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/core/async_engine.py | colossalai/inference/core/async_engine.py | import asyncio
import logging
from functools import partial
from typing import AsyncIterator, Dict, Iterable, List, Optional, Set, Tuple, Type
from colossalai.inference.core.engine import InferenceEngine
from colossalai.inference.sampler import search_tokens
# CLI logger
logging.basicConfig(level=logging.DEBUG, forma... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/core/llm_engine.py | colossalai/inference/core/llm_engine.py | import time
from itertools import count
from typing import Dict, List, Optional, Tuple, Type, Union
import numpy as np
import torch
import torch.nn as nn
from torch import distributed as dist
from transformers import (
AutoConfig,
AutoModelForCausalLM,
GenerationConfig,
PreTrainedTokenizer,
PreTrai... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | true |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/core/plugin.py | colossalai/inference/core/plugin.py | import logging
import os
from functools import reduce
from pathlib import Path
from typing import Optional
import torch
from colossalai.checkpoint_io.general_checkpoint_io import GeneralCheckpointIO
from colossalai.checkpoint_io.index_file import CheckpointIndexFile
from colossalai.checkpoint_io.utils import is_safet... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/core/rpc_engine.py | colossalai/inference/core/rpc_engine.py | import asyncio
from itertools import count
from time import sleep
from typing import List, Tuple, Union
import rpyc
import torch
import torch.nn as nn
from rpyc.utils.server import ThreadedServer
from torch import multiprocessing as mp
from transformers import AutoConfig, PreTrainedTokenizer, PreTrainedTokenizerFast
f... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/core/request_handler.py | colossalai/inference/core/request_handler.py | from typing import Dict, List, Union
import torch
from transformers.configuration_utils import PretrainedConfig
from transformers.generation import GenerationConfig
from colossalai.inference.batch_bucket import BatchBucket
from colossalai.inference.config import InferenceConfig
from colossalai.inference.flash_decodin... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/core/__init__.py | colossalai/inference/core/__init__.py | from .engine import InferenceEngine
from .request_handler import RequestHandler
__all__ = ["InferenceEngine", "RequestHandler"]
| python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/core/base_engine.py | colossalai/inference/core/base_engine.py | from abc import ABC, abstractmethod
import torch
import torch.nn as nn
from colossalai.cluster import ProcessGroupMesh
from colossalai.inference.config import ModelShardInferenceConfig
from colossalai.pipeline.stage_manager import PipelineStageManager
from colossalai.shardformer import ShardConfig, ShardFormer
from c... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/core/diffusion_engine.py | colossalai/inference/core/diffusion_engine.py | from itertools import count
from typing import List, Tuple, Type, Union
import numpy as np
import PIL.Image
import torch
import torch.nn as nn
from diffusers.pipelines.pipeline_utils import DiffusionPipeline
from torch import distributed as dist
from colossalai.accelerator import get_accelerator
from colossalai.clust... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/core/engine.py | colossalai/inference/core/engine.py | from typing import List, Tuple, Type, Union
import numpy as np
import PIL.Image
import torch.nn as nn
from diffusers import DiffusionPipeline
from transformers import PreTrainedTokenizer, PreTrainedTokenizerFast
from colossalai.inference.config import InferenceConfig
from colossalai.inference.utils import ModelType, ... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/server/completion_service.py | colossalai/inference/server/completion_service.py | import asyncio
from colossalai.inference.core.async_engine import AsyncInferenceEngine
from .utils import id_generator
class CompletionServing:
def __init__(self, engine: AsyncInferenceEngine, served_model: str):
self.engine = engine
self.served_model = served_model
try:
asy... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/server/chat_service.py | colossalai/inference/server/chat_service.py | import asyncio
import codecs
import logging
from fastapi import Request
from colossalai.inference.core.async_engine import AsyncInferenceEngine
from .utils import ChatCompletionResponseStreamChoice, ChatMessage, DeltaMessage, id_generator
logger = logging.getLogger("colossalai-inference")
class ChatServing:
d... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/server/utils.py | colossalai/inference/server/utils.py | from typing import Any, Optional
from pydantic import BaseModel
# make it singleton
class NumericIDGenerator:
_instance = None
def __new__(cls):
if cls._instance is None:
cls._instance = super(NumericIDGenerator, cls).__new__(cls)
cls._instance.current_id = 0
return c... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/server/__init__.py | colossalai/inference/server/__init__.py | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false | |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/inference/server/api_server.py | colossalai/inference/server/api_server.py | """
Doc:
Feature:
- FastAPI based http server for Colossal-Inference
- Completion Service Supported
Usage: (for local user)
- First, Lauch an API locally. `python3 -m colossalai.inference.server.api_server --model path of your llama2 model`
- Second, you can turn to the page `http://127.0.0.1:8... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/__init__.py | colossalai/shardformer/__init__.py | from .shard import GradientCheckpointConfig, ModelSharder, PipelineGradientCheckpointConfig, ShardConfig, ShardFormer
| python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/_utils.py | colossalai/shardformer/_utils.py | import re
def get_obj_list_element(obj, attr: str):
r"""
Get the element of the list in the object
If the attr is a normal attribute, return the attribute of the object.
If the attr is a index type, return the element of the index in the list, like `layers[0]`.
Args:
obj (Object): The ob... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/policies/opt.py | colossalai/shardformer/policies/opt.py | import warnings
from functools import partial
from typing import Callable, Dict, List
import torch.nn as nn
from torch import Tensor, nn
from colossalai.shardformer.layer import (
FusedLayerNorm,
LayerNorm,
Linear1D_Col,
Linear1D_Row,
LinearWithGradAccum,
PaddingEmbedding,
PaddingLMHead,
... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/policies/qwen2.py | colossalai/shardformer/policies/qwen2.py | from functools import partial
from typing import Callable, Dict, List, Union
import torch.nn as nn
from torch import Tensor
from torch.nn import Module
from transformers.models.qwen2.modeling_qwen2 import (
Qwen2Attention,
Qwen2DecoderLayer,
Qwen2ForCausalLM,
Qwen2ForSequenceClassification,
Qwen2Mo... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/policies/base_policy.py | colossalai/shardformer/policies/base_policy.py | # part of code modified from https://github.com/tunib-ai/parallelformers
from abc import ABC, abstractmethod
from dataclasses import dataclass
from typing import Any, Callable, Dict, List, Optional, Union
import torch.nn as nn
from torch import Tensor
from torch.nn import Module
from colossalai.pipeline.stage_manage... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/policies/auto_policy.py | colossalai/shardformer/policies/auto_policy.py | import importlib
from dataclasses import dataclass
import torch.nn as nn
from .base_policy import Policy
__all__ = ["PolicyLocation", "get_autopolicy", "import_policy"]
@dataclass
class PolicyLocation:
"""
PolicyLocation describes the location of a policy class.
Args:
file_name (str): The file... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/policies/deepseek.py | colossalai/shardformer/policies/deepseek.py | from functools import partial
from typing import Callable, Dict, List, Union
import torch.nn as nn
from torch import Tensor
from torch.nn import Module
from transformers.utils import is_flash_attn_greater_or_equal_2_10
from colossalai.shardformer.layer import FusedRMSNorm, Linear1D_Col, LinearWithGradAccum
from colos... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/policies/bert.py | colossalai/shardformer/policies/bert.py | import warnings
from functools import partial
from typing import Callable, Dict, List
import torch.nn as nn
from torch import Tensor
from torch.nn import Module
import colossalai.shardformer.layer as col_nn
from ..modeling.bert import (
BertPipelineForwards,
bert_sequence_parallel_forward_fn,
get_bert_se... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/policies/t5.py | colossalai/shardformer/policies/t5.py | from __future__ import annotations
import warnings
from functools import partial
from typing import Callable, Dict, List, Tuple
import numpy as np
from torch import Tensor, nn
from colossalai.shardformer.layer import (
DropoutForParallelInput,
Embedding1D,
FusedRMSNorm,
Linear1D_Col,
Linear1D_Row... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | true |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/policies/whisper.py | colossalai/shardformer/policies/whisper.py | import warnings
from functools import partial
from typing import Callable, Dict, List, Tuple
import numpy as np
import torch.nn as nn
from torch import Tensor
import colossalai.shardformer.layer as col_nn
from ..modeling.jit import get_jit_fused_dropout_add_func
from ..modeling.whisper import (
WhisperPipelineFo... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | true |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/policies/llama.py | colossalai/shardformer/policies/llama.py | from functools import partial
from typing import Callable, Dict, List, Union
import torch.nn as nn
from torch import Tensor
from torch.nn import Module
from colossalai.shardformer.layer import (
FusedRMSNorm,
Linear1D_Col,
Linear1D_Row,
LinearWithGradAccum,
PaddingEmbedding,
PaddingLMHead,
... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/policies/vit.py | colossalai/shardformer/policies/vit.py | import warnings
from typing import Callable, Dict, List, Union
import torch.nn as nn
import colossalai.shardformer.layer as col_nn
from colossalai.shardformer.layer import DropoutForReplicatedInput, Linear1D_Col
from ..modeling.jit import get_jit_fused_dropout_add_func
from ..modeling.vit import (
ViTForImageCla... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/policies/falcon.py | colossalai/shardformer/policies/falcon.py | import warnings
from functools import partial
from typing import Callable, Dict, List
from torch import Tensor, nn
from torch.nn import Module
import colossalai.shardformer.layer as col_nn
from ..modeling.falcon import (
FalconPipelineForwards,
build_falcon_alibi_tensor_fn,
get_lm_forward_with_dist_cross... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/policies/chatglm2.py | colossalai/shardformer/policies/chatglm2.py | import warnings
from functools import partial
from typing import Callable, Dict, List, Union
import torch.nn as nn
from torch import Tensor
import colossalai.shardformer.layer as col_nn
from colossalai.shardformer.modeling.chatglm2 import ChatGLMPipelineForwards
from ..modeling.chatglm2 import (
get_chatglm_sequ... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/policies/qwen3.py | colossalai/shardformer/policies/qwen3.py | # Modifed from qwen2 policy
from functools import partial
from typing import Callable, Dict, List, Union
import torch.nn as nn
from torch import Tensor
from torch.nn import Module
from transformers.models.qwen3.modeling_qwen3 import (
Qwen3Attention,
Qwen3DecoderLayer,
Qwen3ForCausalLM,
Qwen3ForSequenc... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/policies/gptj.py | colossalai/shardformer/policies/gptj.py | import warnings
from functools import partial
from typing import Callable, Dict, List
from torch import Tensor, nn
import colossalai.shardformer.layer as col_nn
from ..modeling.gptj import (
GPTJPipelineForwards,
get_gptj_flash_attention_forward,
gptj_model_forward_for_flash_attention,
)
from .base_polic... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/policies/bloom.py | colossalai/shardformer/policies/bloom.py | import warnings
from functools import partial
from typing import Callable, Dict, List
import torch.nn as nn
from torch import Tensor
from torch.nn import Module
import colossalai.shardformer.layer as col_nn
from ..modeling.bloom import (
BloomPipelineForwards,
build_bloom_alibi_tensor_fn,
get_bloom_seque... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/policies/command.py | colossalai/shardformer/policies/command.py | from functools import partial
from typing import Callable, Dict, List, Union
import torch.nn as nn
from torch import Tensor
from torch.nn import Module
from colossalai.shardformer.layer import (
Linear1D_Col,
Linear1D_Row,
LinearWithGradAccum,
PaddingEmbedding,
PaddingLMHead,
VocabParallelEmbe... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/policies/deepseek_v3.py | colossalai/shardformer/policies/deepseek_v3.py | from functools import partial
from typing import Callable, Dict, List, Union
import torch.nn as nn
from colossalai.shardformer.layer import FusedRMSNorm
from colossalai.shardformer.modeling.deepseek_v3 import (
EpDeepseekV3MoE,
deepseek_v3_for_causal_lm_forward,
deepseek_v3_model_forward,
)
from colossala... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/policies/blip2.py | colossalai/shardformer/policies/blip2.py | import colossalai.shardformer.layer as col_nn
from ..modeling.blip2 import (
forward_fn,
get_blip2_flash_attention_forward,
get_jit_fused_blip2_mlp_forward,
get_jit_fused_blip2_QFormer_output_forward,
get_jit_fused_blip2_QFormer_self_output_forward,
)
from ..modeling.jit import get_jit_fused_dropou... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/policies/gpt2.py | colossalai/shardformer/policies/gpt2.py | import warnings
from functools import partial
from typing import Callable, Dict, List
from torch import Tensor, nn
import colossalai.shardformer.layer as col_nn
from ..modeling.gpt2 import GPT2PipelineForwards, get_gpt2_flash_attention_forward, get_jit_fused_gpt2_mlp_forward
from .base_policy import ModulePolicyDesc... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/policies/sam.py | colossalai/shardformer/policies/sam.py | import colossalai.shardformer.layer as col_nn
from ..modeling.sam import forward_fn
from .base_policy import ModulePolicyDescription, Policy, SubModuleReplacementDescription
__all__ = ["SamPolicy", "SamModelPolicy"]
class SamPolicy(Policy):
def config_sanity_check(self):
pass
def preprocess(self):
... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/policies/__init__.py | colossalai/shardformer/policies/__init__.py | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false | |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/policies/mixtral.py | colossalai/shardformer/policies/mixtral.py | import warnings
from functools import partial
from typing import Callable, Dict, List, Union
import torch.nn as nn
from torch import Tensor
from torch.nn import Module
from transformers.models.mixtral.modeling_mixtral import MixtralForCausalLM, MixtralModel
from colossalai.shardformer.layer import (
FusedRMSNorm,... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/policies/mistral.py | colossalai/shardformer/policies/mistral.py | import warnings
from functools import partial
from typing import Callable, Dict, List, Union
import torch.nn as nn
from torch import Tensor
from torch.nn import Module
from colossalai.shardformer.layer import (
FusedRMSNorm,
Linear1D_Col,
Linear1D_Row,
LinearWithGradAccum,
PaddingEmbedding,
Pa... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/layer/attn.py | colossalai/shardformer/layer/attn.py | from enum import Enum
from typing import Callable, Dict, Optional, Tuple
import torch
import torch.distributed
import torch.distributed as dist
import torch.nn.functional as F
from einops import rearrange
from packaging import version
from colossalai.kernel.kernel_loader import (
FlashAttentionDaoLoader,
Flas... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | true |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/layer/_operation.py | colossalai/shardformer/layer/_operation.py | import functools
import torch
import torch.distributed as dist
import torch.nn.functional as F
from colossalai.pipeline.weight_grad_store import WeightGradStore
from .utils import (
execute_conv1d_w_pass,
execute_conv1d_w_pass_grad_accum,
execute_w_pass,
execute_w_pass_grad_accum,
is_share_sp_tp,... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | true |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/layer/dropout.py | colossalai/shardformer/layer/dropout.py | from typing import List, Union
import torch
import torch.nn as nn
from torch.distributed import ProcessGroup
from .parallel_module import ParallelModule
from .utils import create_randomizer_with_offset
__all__ = ["DropoutForParallelInput", "DropoutForReplicatedInput"]
class DropoutForParallelInput(ParallelModule, ... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/layer/qkv_fused_linear.py | colossalai/shardformer/layer/qkv_fused_linear.py | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
import math
from typing import Callable, List, Optional, Tuple, Union
import torch
import torch.distributed as dist
import torch.nn as nn
from torch import Tensor
from torch.distributed import ProcessGroup
from torch.nn.parameter import Parameter
from colossalai.lazy i... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | true |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/layer/utils.py | colossalai/shardformer/layer/utils.py | from contextlib import contextmanager
from typing import List, Optional, Union
import torch
import torch.distributed as dist
from torch import nn
from torch._utils import _flatten_dense_tensors, _unflatten_dense_tensors
from torch.distributed import ProcessGroup, get_world_size
from colossalai.accelerator import get_... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/layer/parallel_module.py | colossalai/shardformer/layer/parallel_module.py | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
import itertools
from abc import ABC, abstractmethod
from typing import List, Optional, Union
import torch
import torch.nn as nn
from torch.distributed import ProcessGroup
from torch.nn.modules.module import _EXTRA_STATE_KEY_SUFFIX, Module
from colossalai.checkpoint_io... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/layer/loss.py | colossalai/shardformer/layer/loss.py | import torch
import torch.distributed as dist
from torch.autograd import Function
from torch.distributed import ProcessGroup
from torch.nn import CrossEntropyLoss
from torch.nn.functional import log_softmax
from colossalai.shardformer.layer._operation import reduce_forward
from colossalai.shardformer.shard import Shar... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/layer/__init__.py | colossalai/shardformer/layer/__init__.py | from ._operation import all_to_all_comm
from .attn import AttnMaskType, ColoAttention, RingAttention, get_pad_info
from .dropout import DropoutForParallelInput, DropoutForReplicatedInput
from .embedding import Embedding1D, PaddingEmbedding, VocabParallelEmbedding1D
from .linear import Linear1D_Col, Linear1D_Row, Linear... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/layer/embedding.py | colossalai/shardformer/layer/embedding.py | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
from typing import Callable, List, Optional, Union
import torch
import torch.distributed as dist
import torch.nn as nn
import torch.nn.functional as F
from torch import Tensor
from torch.distributed import ProcessGroup
from colossalai.lazy import LazyInitContext
from c... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/layer/normalization.py | colossalai/shardformer/layer/normalization.py | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
import numbers
import warnings
from abc import ABC, abstractmethod
import torch
import torch.nn as nn
from torch.nn import init
from torch.nn.parameter import Parameter
from colossalai.lazy import LazyInitContext
from ._operation import hook_parameter_in_backward
from ... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/layer/linear.py | colossalai/shardformer/layer/linear.py | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
import math
from typing import Callable, List, Optional, Tuple, Union
import torch
import torch.distributed as dist
import torch.nn as nn
import torch.nn.functional as F
from torch import Tensor
from torch.distributed import ProcessGroup
from torch.nn.parameter import P... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/modeling/opt.py | colossalai/shardformer/modeling/opt.py | import random
from typing import List, Optional, Tuple, Union
import torch
from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, MSELoss
from transformers.modeling_attn_mask_utils import _prepare_4d_causal_attention_mask
from transformers.modeling_outputs import (
BaseModelOutputWithPast,
CausalLMOutputWit... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | true |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/modeling/qwen2.py | colossalai/shardformer/modeling/qwen2.py | import math
from typing import List, Optional, Tuple, Union
import torch
from torch import nn
from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, MSELoss
from transformers.modeling_attn_mask_utils import (
_prepare_4d_causal_attention_mask,
_prepare_4d_causal_attention_mask_for_sdpa,
)
from transformers.... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | true |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/modeling/deepseek.py | colossalai/shardformer/modeling/deepseek.py | import warnings
from typing import List, Optional, Tuple, Union
import torch
import torch.distributed as dist
import torch.functional as F
from torch.distributed import ProcessGroup
from torch.nn import CrossEntropyLoss
from transformers.cache_utils import Cache, DynamicCache
from transformers.modeling_attn_mask_utils... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | true |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/modeling/bert.py | colossalai/shardformer/modeling/bert.py | import warnings
from typing import List, Optional, Tuple, Union
import torch
from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, MSELoss
from transformers.modeling_outputs import (
BaseModelOutputWithPoolingAndCrossAttentions,
CausalLMOutputWithCrossAttentions,
MaskedLMOutput,
MultipleChoiceModel... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | true |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/modeling/t5.py | colossalai/shardformer/modeling/t5.py | import warnings
from typing import Dict, List, Optional, Tuple, Union
import torch
from torch.nn import CrossEntropyLoss
from transformers.modeling_outputs import (
BaseModelOutput,
BaseModelOutputWithPastAndCrossAttentions,
Seq2SeqLMOutput,
Seq2SeqModelOutput,
TokenClassifierOutput,
)
from transfo... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | true |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/modeling/whisper.py | colossalai/shardformer/modeling/whisper.py | import logging
import random
from typing import List, Optional, Tuple, Union
import torch
from torch import nn
from torch.nn import CrossEntropyLoss
from transformers.modeling_attn_mask_utils import (
_prepare_4d_causal_attention_mask,
_prepare_4d_causal_attention_mask_for_sdpa,
)
from transformers.modeling_ou... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | true |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/modeling/llama.py | colossalai/shardformer/modeling/llama.py | import math
import warnings
from typing import Dict, List, Optional, Tuple, Union
import torch
import torch.distributed
import torch.utils.checkpoint
from torch import nn
from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, MSELoss
from transformers.cache_utils import Cache, DynamicCache
from transformers.modelin... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/modeling/vit.py | colossalai/shardformer/modeling/vit.py | from typing import List, Optional, Tuple, Union
import torch
from transformers.models.vit.modeling_vit import BaseModelOutput, ViTEncoder
from transformers.utils import logging
from colossalai.pipeline.stage_manager import PipelineStageManager
from colossalai.shardformer.layer import ColoAttention
def _encoder_forw... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/modeling/falcon.py | colossalai/shardformer/modeling/falcon.py | import warnings
from typing import List, Optional, Tuple, Union
import torch
import torch.distributed as dist
from torch.distributed import ProcessGroup
from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, MSELoss
from transformers.modeling_outputs import (
BaseModelOutputWithPastAndCrossAttentions,
Causa... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | true |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/modeling/chatglm2.py | colossalai/shardformer/modeling/chatglm2.py | """ PyTorch ChatGLM model. """
from typing import List, Optional, Tuple
import torch
import torch.utils.checkpoint
from transformers.modeling_outputs import BaseModelOutputWithPast, CausalLMOutputWithPast
from transformers.utils import logging
from colossalai.pipeline.stage_manager import PipelineStageManager
from c... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/modeling/qwen3.py | colossalai/shardformer/modeling/qwen3.py | # Modifed from qwen2 modeling
import math
from typing import List, Optional, Tuple, Union
import torch
from torch import nn
from transformers.modeling_attn_mask_utils import (
_prepare_4d_causal_attention_mask,
_prepare_4d_causal_attention_mask_for_sdpa,
)
from transformers.modeling_outputs import (
BaseMo... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | true |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/modeling/gptj.py | colossalai/shardformer/modeling/gptj.py | from typing import Dict, List, Optional, Tuple, Union
import torch
from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, MSELoss
from transformers.cache_utils import Cache
from transformers.modeling_outputs import (
BaseModelOutputWithPast,
CausalLMOutputWithPast,
QuestionAnsweringModelOutput,
Sequ... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | true |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/modeling/bloom.py | colossalai/shardformer/modeling/bloom.py | import warnings
from typing import List, Optional, Tuple, Union
import torch
import torch.distributed as dist
from torch.distributed import ProcessGroup
from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, MSELoss
from torch.nn import functional as F
from transformers.cache_utils import Cache, DynamicCache
from t... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | true |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/modeling/command.py | colossalai/shardformer/modeling/command.py | from typing import List, Optional, Tuple, Union
import torch
from torch import nn
from transformers.cache_utils import Cache, DynamicCache
from transformers.modeling_flash_attention_utils import FlashAttentionKwargs
from transformers.modeling_outputs import BaseModelOutputWithPast, CausalLMOutputWithPast
from transfor... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/modeling/deepseek_v3.py | colossalai/shardformer/modeling/deepseek_v3.py | from typing import List, Optional, Tuple, Union
import numpy as np
import torch
import torch.distributed as dist
from torch.distributed import ProcessGroup
from torch.nn import CrossEntropyLoss
from transformers.cache_utils import Cache, DynamicCache
from transformers.modeling_attn_mask_utils import _prepare_4d_causal... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/modeling/jit.py | colossalai/shardformer/modeling/jit.py | import torch
def get_dropout_add_func():
from transformers.models.bloom.modeling_bloom import dropout_add
def self_dropout_add(self, x: torch.Tensor, residual: torch.Tensor, prob: float, training: bool) -> torch.Tensor:
return dropout_add(x, residual, prob, training)
return self_dropout_add
de... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/modeling/blip2.py | colossalai/shardformer/modeling/blip2.py | from typing import Optional, Tuple
import torch
import torch.nn as nn
from colossalai.shardformer.layer import ColoAttention
def forward_fn():
def forward(
self,
hidden_states: torch.Tensor,
head_mask: Optional[torch.Tensor] = None,
output_attentions: Optional[bool] = False,
... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/modeling/gpt2.py | colossalai/shardformer/modeling/gpt2.py | from typing import Dict, List, Optional, Tuple, Union
import torch
from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, MSELoss
from transformers.modeling_outputs import (
BaseModelOutputWithPastAndCrossAttentions,
CausalLMOutputWithCrossAttentions,
QuestionAnsweringModelOutput,
SequenceClassifier... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | true |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/shardformer/modeling/sam.py | colossalai/shardformer/modeling/sam.py | import torch
from torch import nn
# Same as the SamVisionAttention forward method in the v4.51.3 transformers
def forward_fn():
def forward(self, hidden_states: torch.Tensor, output_attentions=False) -> torch.Tensor:
batch_size, height, width, _ = hidden_states.shape
# qkv with shape (3, batch_siz... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.