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/legacy/zero/sharded_model/sharded_model_v2.py | colossalai/legacy/zero/sharded_model/sharded_model_v2.py | # this code is inspired by the DeepSpeed library and implemented with our own design from scratch
import functools
import itertools
from collections import OrderedDict
from typing import Any, Iterator, Optional, Tuple
import torch
import torch.distributed as dist
import torch.nn as nn
from torch.distributed import Pro... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/zero/sharded_model/reduce_scatter.py | colossalai/legacy/zero/sharded_model/reduce_scatter.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the BSD license found in the
# LICENSE file in the root directory of this source tree.
import functools
import os
from typing import Callable, Dict, List, Optional, Tuple
import torch
import torch.distributed as dist
from torch ... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/zero/sharded_model/utils.py | colossalai/legacy/zero/sharded_model/utils.py | import copy
import torch
from colossalai.legacy.zero.sharded_model import ShardedModelV2
def col_model_deepcopy(sharded_model: ShardedModelV2, other_model: torch.nn.Module):
"""
copy param of the ShardedModelV2 to other_model.
Note the other_model has to be the same as self.
"""
for zero_param, ... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/zero/sharded_model/zero_hook.py | colossalai/legacy/zero/sharded_model/zero_hook.py | from typing import Optional
import torch
import torch.distributed as dist
from colossalai.accelerator import get_accelerator
from colossalai.legacy.registry import OPHOOKS
from colossalai.legacy.zero.gemini.ophooks import BaseOpHook
from colossalai.legacy.zero.gemini.stateful_tensor import TensorState
from colossalai... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/zero/sharded_model/__init__.py | colossalai/legacy/zero/sharded_model/__init__.py | from .sharded_model_v2 import ShardedModelV2
__all__ = ["ShardedModelV2"]
| python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/zero/sharded_model/_utils.py | colossalai/legacy/zero/sharded_model/_utils.py | from typing import Any, Callable, List, Tuple, Union
import torch
import torch.nn.functional as F
from colossalai.legacy.zero.gemini.stateful_tensor import StatefulTensor
def get_gradient_predivide_factor(world_size: int) -> float:
factor: int = 1
while world_size % factor == 0 and world_size / factor > fac... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/zero/gemini/stateful_tensor_mgr.py | colossalai/legacy/zero/gemini/stateful_tensor_mgr.py | import functools
import types
from time import time
from typing import List
from colossalai.accelerator import get_accelerator
from .stateful_tensor import StatefulTensor, TensorState
from .tensor_placement_policy import TensorPlacementPolicy
from .tensor_utils import colo_model_data_tensor_move_inline
class Statef... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/zero/gemini/gemini_context.py | colossalai/legacy/zero/gemini/gemini_context.py | from enum import EnumMeta
class GeminiMemoryManager(object):
def __init__(self, states_cls: EnumMeta):
super().__init__()
self.states_cls = states_cls
self._cnter = 0 # the counter of instances
self.total_mem = dict()
self.state_mem = dict()
self.state_mem["cpu"] ... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/zero/gemini/tensor_utils.py | colossalai/legacy/zero/gemini/tensor_utils.py | from typing import Tuple, Union
import torch
from .stateful_tensor import StatefulTensor
def is_storage_empty(tensor: torch.Tensor) -> bool:
return tensor.storage().size() == 0
def free_storage(tensor: torch.Tensor) -> None:
if not is_storage_empty(tensor):
tensor.storage().resize_(0)
def alloc_... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/zero/gemini/tensor_placement_policy.py | colossalai/legacy/zero/gemini/tensor_placement_policy.py | import functools
from abc import ABC, abstractmethod
from time import time
from typing import List, Optional, Type
import torch
from colossalai.accelerator import get_accelerator
from colossalai.legacy.utils.memory import colo_device_memory_capacity
from colossalai.zero.gemini.memory_tracer import MemStatsCollector
... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/zero/gemini/stateful_tensor.py | colossalai/legacy/zero/gemini/stateful_tensor.py | from enum import Enum
from typing import Optional, Union
import torch
from .gemini_context import GeminiMemoryManager
def sizeof_tensor(tensor: torch.Tensor):
return tensor.numel() * tensor.element_size()
class TensorState(Enum):
FREE = 0
HOLD = 1
HOLD_AFTER_FWD = 2
HOLD_AFTER_BWD = 3
COMP... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/zero/gemini/__init__.py | colossalai/legacy/zero/gemini/__init__.py | from .colo_init_context import ColoInitContext, post_process_colo_init_ctx
from .ophooks import BaseOpHook, register_ophooks_recursively
from .stateful_tensor import StatefulTensor
from .stateful_tensor_mgr import StatefulTensorMgr
from .tensor_placement_policy import AutoTensorPlacementPolicy, CPUTensorPlacementPolicy... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/zero/gemini/colo_init_context.py | colossalai/legacy/zero/gemini/colo_init_context.py | from typing import Any, Iterator, Optional, Tuple, Union
import torch
from torch import nn
from colossalai.legacy.tensor import ProcessGroup
from colossalai.tensor import ColoParameter, ColoTensor
from colossalai.utils.model.utils import InsertPostInitMethodToModuleSubClasses
# find named_params includes replica
d... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/zero/gemini/ophooks/runtime_mem_tracer_hook.py | colossalai/legacy/zero/gemini/ophooks/runtime_mem_tracer_hook.py | from contextlib import contextmanager
from enum import Enum
from functools import partial
from typing import List
import torch
from colossalai.legacy.zero.gemini.tensor_utils import alloc_storage, free_storage
from colossalai.tensor.param_op_hook import ColoParamOpHook
from colossalai.zero.gemini.memory_tracer import... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/zero/gemini/ophooks/_shard_param_ophook.py | colossalai/legacy/zero/gemini/ophooks/_shard_param_ophook.py | import torch
from colossalai.legacy.registry import OPHOOKS
from . import BaseOpHook
@OPHOOKS.register_module
class ShardParamHook(BaseOpHook):
"""
A hook to process sharded param before and after FWD and BWD operator executing.
"""
def __init__(self):
super().__init__()
def niter(self... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/zero/gemini/ophooks/utils.py | colossalai/legacy/zero/gemini/ophooks/utils.py | # this code is inspired by the DeepSpeed library and implemented with our own design from scratch
from abc import ABC, abstractmethod
from typing import Callable, List, Optional
import torch
class BaseOpHook(ABC):
"""This class allows users to add customized operations
before and after the execution of a PyT... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/zero/gemini/ophooks/__init__.py | colossalai/legacy/zero/gemini/ophooks/__init__.py | from .utils import BaseOpHook, register_ophooks_recursively
__all__ = ["BaseOpHook", "register_ophooks_recursively"]
| python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/zero/gemini/ophooks/_shard_grad_ophook.py | colossalai/legacy/zero/gemini/ophooks/_shard_grad_ophook.py | import torch
from colossalai.legacy.registry import OPHOOKS
from . import BaseOpHook
@OPHOOKS.register_module
class ShardGradMemTracerHook(BaseOpHook):
"""
A hook to process sharded param before and after FWD and BWD operator executing.
"""
def __init__(self):
super().__init__()
def pr... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/zero/gemini/paramhooks/_param_hookmgr.py | colossalai/legacy/zero/gemini/paramhooks/_param_hookmgr.py | import functools
from typing import Callable, List
import torch
class BaseParamHookMgr(object):
def __init__(self, param_list: List[torch.nn.Parameter]) -> None:
r"""
register backward hook on every parameters of module
"""
self._param_list = param_list
self._hook_list = [... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/zero/gemini/paramhooks/__init__.py | colossalai/legacy/zero/gemini/paramhooks/__init__.py | from ._param_hookmgr import BaseParamHookMgr
__all__ = ["BaseParamHookMgr"]
| python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/builder/__init__.py | colossalai/legacy/builder/__init__.py | from .builder import build_from_config, build_from_registry, build_gradient_handler
__all__ = ["build_gradient_handler", "build_from_config", "build_from_registry"]
| python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/builder/builder.py | colossalai/legacy/builder/builder.py | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
import inspect
from colossalai.legacy.registry import *
def build_from_config(module, config: dict):
"""Returns an object of :class:`module` constructed from `config`.
Args:
module: A python or user-defined class
config: A python dict containi... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/communication/p2p_v2.py | colossalai/legacy/communication/p2p_v2.py | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
import io
import pickle
from typing import Any, List, Tuple, Union
import torch
import torch.distributed as dist
from torch.distributed import ProcessGroupNCCL
from torch.distributed import distributed_c10d as c10d
from colossalai.legacy.context.parallel_mode import Pa... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/communication/utils.py | colossalai/legacy/communication/utils.py | from typing import List, Tuple, Union
import torch
import torch.distributed as dist
from colossalai.accelerator import get_accelerator
from colossalai.legacy.context.parallel_mode import ParallelMode
from colossalai.legacy.core import global_context as gpc
TensorShape = Union[torch.Size, List[int], Tuple[int]]
def... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/communication/__init__.py | colossalai/legacy/communication/__init__.py | from .collective import all_gather, all_reduce, broadcast, reduce, reduce_scatter
from .p2p import (
recv_backward,
recv_forward,
send_backward,
send_backward_recv_backward,
send_backward_recv_forward,
send_forward,
send_forward_backward_recv_forward_backward,
send_forward_recv_backward,... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/communication/ring.py | colossalai/legacy/communication/ring.py | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
import torch
from colossalai.accelerator import get_accelerator
from colossalai.legacy.context.parallel_mode import ParallelMode
from colossalai.legacy.core import global_context as gpc
def ring_forward(tensor_send_next: torch.Tensor, parallel_mode: ParallelMode) -> t... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/communication/p2p.py | colossalai/legacy/communication/p2p.py | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
import operator
from functools import reduce
from typing import List, Tuple, Union
import torch
import torch.distributed as dist
from colossalai.accelerator import get_accelerator
from colossalai.legacy.context.parallel_mode import ParallelMode
from colossalai.legacy.c... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/communication/collective.py | colossalai/legacy/communication/collective.py | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
import torch
import torch.distributed as dist
from torch import Tensor
from torch.distributed import ReduceOp
from colossalai.legacy.context import ParallelMode
from colossalai.legacy.core import global_context as gpc
_all_gather_func = dist._all_gather_base if "all_ga... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/trainer/_trainer.py | colossalai/legacy/trainer/_trainer.py | from typing import Any, List, Union
import torch
from torch.utils.data import DataLoader
from tqdm import tqdm
from colossalai.legacy.engine import Engine
from colossalai.legacy.trainer.hooks import BaseHook
from colossalai.legacy.utils import is_dp_rank_0, is_no_pp_or_last_stage, is_tp_rank_0
from colossalai.logging... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/trainer/__init__.py | colossalai/legacy/trainer/__init__.py | from ._trainer import Trainer
__all__ = ["Trainer"]
| python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/trainer/hooks/_log_hook.py | colossalai/legacy/trainer/hooks/_log_hook.py | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
import os
import os.path as osp
from typing import List
from colossalai.legacy.context import ParallelMode
from colossalai.legacy.core import global_context as gpc
from colossalai.legacy.registry import HOOKS
from colossalai.legacy.trainer.hooks._metric_hook import Thro... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/trainer/hooks/_commons_.py | colossalai/legacy/trainer/hooks/_commons_.py | import torch
def _format_number(val, prec=5):
if isinstance(val, float):
return f"{val:.{prec}g}"
elif torch.is_tensor(val) and torch.is_floating_point(val):
return f"{val.item():.{prec}g}"
return val
| python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/trainer/hooks/_checkpoint_hook.py | colossalai/legacy/trainer/hooks/_checkpoint_hook.py | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
import torch
from colossalai.legacy.registry import HOOKS
from colossalai.legacy.trainer.hooks import BaseHook
from colossalai.legacy.utils.checkpointing import save_checkpoint
from colossalai.logging import get_dist_logger
from ._lr_scheduler_hook import LRSchedulerHoo... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/trainer/hooks/_lr_scheduler_hook.py | colossalai/legacy/trainer/hooks/_lr_scheduler_hook.py | from torch import Tensor
from colossalai.legacy.registry import HOOKS
from ._metric_hook import LearningRateMetric, MetricHook
@HOOKS.register_module
class LRSchedulerHook(MetricHook):
r"""Build LR scheduler for trainer.
Args:
lr_scheduler (:class:`colossalai.nn.lr_scheduler`): The specific LR sche... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/trainer/hooks/__init__.py | colossalai/legacy/trainer/hooks/__init__.py | from ._base_hook import BaseHook
from ._checkpoint_hook import SaveCheckpointHook
from ._log_hook import (
LogMemoryByEpochHook,
LogMetricByEpochHook,
LogMetricByStepHook,
LogTimingByEpochHook,
TensorboardHook,
)
from ._lr_scheduler_hook import LRSchedulerHook
from ._metric_hook import AccuracyHook,... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/trainer/hooks/_metric_hook.py | colossalai/legacy/trainer/hooks/_metric_hook.py | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
from abc import ABC, abstractmethod
from typing import Callable
import torch
import torch.distributed as dist
from colossalai.accelerator import get_accelerator
from colossalai.legacy.communication import all_reduce
from colossalai.legacy.context import ParallelMode
fr... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/trainer/hooks/_base_hook.py | colossalai/legacy/trainer/hooks/_base_hook.py | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
from abc import ABC
from torch import Tensor
class BaseHook(ABC):
"""This class allows users to add desired actions in specific time points
during training or evaluation.
:param priority: Priority in the printing, hooks with small priority will be printed... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/amp/amp_type.py | colossalai/legacy/amp/amp_type.py | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
from enum import Enum
class AMP_TYPE(Enum):
APEX = "apex"
TORCH = "torch"
NAIVE = "naive"
| python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/amp/__init__.py | colossalai/legacy/amp/__init__.py | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
import torch.nn as nn
from torch.nn.modules.loss import _Loss
from torch.optim import Optimizer
from colossalai.context import Config
from .amp_type import AMP_TYPE
from .apex_amp import convert_to_apex_amp
from .naive_amp import convert_to_naive_amp
from .torch_amp im... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/amp/torch_amp/torch_amp.py | colossalai/legacy/amp/torch_amp/torch_amp.py | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
import torch.nn as nn
from torch import Tensor
from torch.nn.modules.loss import _Loss
from torch.optim import Optimizer
from colossalai.accelerator import get_accelerator
from colossalai.interface import OptimizerWrapper
from colossalai.legacy.utils import clip_grad_no... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/amp/torch_amp/__init__.py | colossalai/legacy/amp/torch_amp/__init__.py | from typing import Optional
import torch.nn as nn
from torch.nn.modules.loss import _Loss
from torch.optim import Optimizer
from colossalai.context import Config
from .torch_amp import TorchAMPLoss, TorchAMPModel, TorchAMPOptimizer
def convert_to_torch_amp(
model: nn.Module, optimizer: Optimizer, criterion: Op... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/amp/torch_amp/_grad_scaler.py | colossalai/legacy/amp/torch_amp/_grad_scaler.py | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
# modified from https://github.com/pytorch/pytorch/blob/master/torch/cuda/amp/grad_scaler.py
# to support tensor parallel
import warnings
from collections import abc, defaultdict
from enum import Enum
from typing import Any, Dict, List, Optional, Tuple
import torch
impo... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/amp/apex_amp/__init__.py | colossalai/legacy/amp/apex_amp/__init__.py | import torch.nn as nn
from torch.optim import Optimizer
from .apex_amp import ApexAMPOptimizer
def convert_to_apex_amp(model: nn.Module, optimizer: Optimizer, amp_config):
r"""A helper function to wrap training components with Apex AMP modules
Args:
model (:class:`torch.nn.Module`): your model objec... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/amp/apex_amp/apex_amp.py | colossalai/legacy/amp/apex_amp/apex_amp.py | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
import torch.nn as nn
try:
import apex.amp as apex_amp
except ImportError:
pass
from torch import Tensor
from colossalai.interface import OptimizerWrapper
from colossalai.legacy.utils import clip_grad_norm_fp32
class ApexAMPOptimizer(OptimizerWrapper):
"... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/amp/naive_amp/naive_amp.py | colossalai/legacy/amp/naive_amp/naive_amp.py | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
from typing import Any
import torch
import torch.distributed as dist
import torch.nn as nn
from torch import Tensor
from torch._utils import _flatten_dense_tensors, _unflatten_dense_tensors
from torch.distributed import ReduceOp
from torch.optim import Optimizer
from c... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/amp/naive_amp/__init__.py | colossalai/legacy/amp/naive_amp/__init__.py | import inspect
import torch.nn as nn
from torch.optim import Optimizer
from colossalai.amp.naive_amp.grad_scaler import ConstantGradScaler, DynamicGradScaler
from colossalai.legacy.utils import is_no_pp_or_last_stage
from ._fp16_optimizer import FP16Optimizer
from .naive_amp import NaiveAMPModel, NaiveAMPOptimizer
... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/amp/naive_amp/_utils.py | colossalai/legacy/amp/naive_amp/_utils.py | from typing import List
from torch import Tensor
def has_inf_or_nan(tensor):
"""Check if tensor has inf or nan values.
Args:
tensor (:class:`torch.Tensor`): a torch tensor object
Returns:
bool: Whether the tensor has inf or nan. True for yes and False for no.
"""
try:
# ... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/amp/naive_amp/_fp16_optimizer.py | colossalai/legacy/amp/naive_amp/_fp16_optimizer.py | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
import torch
import torch.distributed as dist
from torch.distributed import ProcessGroup
from torch.optim import Optimizer
from colossalai.amp.naive_amp.grad_scaler import BaseGradScaler
from colossalai.kernel.kernel_loader import FusedOptimizerLoader
from colossalai.le... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/utils/common.py | colossalai/legacy/utils/common.py | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
from collections import defaultdict
from contextlib import contextmanager
from typing import Dict, List, Optional, Union
import torch
import torch.distributed as dist
from torch import inf
from torch.nn.parameter import Parameter
from colossalai.legacy.constants import ... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/utils/checkpointing.py | colossalai/legacy/utils/checkpointing.py | from collections import OrderedDict
from itertools import chain
import torch
import torch.distributed as dist
from colossalai.legacy.constants import IS_TENSOR_PARALLEL
from colossalai.legacy.context.parallel_mode import ParallelMode
from colossalai.legacy.core import global_context as gpc
try:
from torch.nn.mod... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/utils/memory.py | colossalai/legacy/utils/memory.py | import gc
from collections import namedtuple
import psutil
import torch
import torch.distributed as dist
from packaging import version
from colossalai.accelerator import get_accelerator
from colossalai.legacy.core import global_context as gpc
from colossalai.logging import get_dist_logger
_GLOBAL_CUDA_MEM_FRACTION =... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/utils/__init__.py | colossalai/legacy/utils/__init__.py | from .checkpointing import load_checkpoint, save_checkpoint
from .common import (
clip_grad_norm_fp32,
copy_tensor_parallel_attributes,
count_zeros_fp32,
is_dp_rank_0,
is_model_parallel_parameter,
is_no_pp_or_last_stage,
is_tp_rank_0,
is_using_ddp,
is_using_pp,
is_using_sequence,... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/utils/activation_checkpoint.py | colossalai/legacy/utils/activation_checkpoint.py | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
import weakref
import torch
from torch.utils.checkpoint import check_backward_validity, detach_variable
from colossalai.accelerator import get_accelerator
from colossalai.legacy.context.random import get_current_mode, get_states, set_mode, set_seed_states, sync_states
... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/utils/profiler/profiler.py | colossalai/legacy/utils/profiler/profiler.py | import gzip
import json
import os
import tempfile
from typing import Any, Callable, Iterable, List, Optional
from torch.autograd import ProfilerActivity
from torch.profiler import profile as torch_profile
from torch.profiler.profiler import ProfilerAction
from colossalai.legacy.engine import Engine
from colossalai.le... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/utils/profiler/extention.py | colossalai/legacy/utils/profiler/extention.py | from abc import ABC, abstractmethod
class ProfilerExtension(ABC):
@abstractmethod
def prepare_trace(self):
pass
@abstractmethod
def start_trace(self):
pass
@abstractmethod
def stop_trace(self):
pass
@abstractmethod
def extend_chrome_trace(self, trace: dict) -... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/utils/profiler/stateful_tensor_mem_extention.py | colossalai/legacy/utils/profiler/stateful_tensor_mem_extention.py | import os
import threading
import time
from enum import Enum
from typing import List
import torch
from colossalai.gemini.ophooks import BaseOpHook
from colossalai.gemini.stateful_tensor import StatefulTensor
from colossalai.legacy.engine import Engine
from colossalai.legacy.utils.profiler.extention import ProfilerExt... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/utils/profiler/__init__.py | colossalai/legacy/utils/profiler/__init__.py | from .legacy import *
from .profiler import profile
| python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/utils/profiler/legacy/comm_profiler.py | colossalai/legacy/utils/profiler/legacy/comm_profiler.py | import inspect
from functools import partial
from pathlib import Path
from typing import List, Optional
import torch
import torch.distributed as dist
from torch.autograd.profiler import profile
from torch.distributed import ReduceOp
from colossalai.accelerator import get_accelerator
from .prof_utils import BaseProfi... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/utils/profiler/legacy/prof_utils.py | colossalai/legacy/utils/profiler/legacy/prof_utils.py | from abc import ABC, abstractmethod
from pathlib import Path
from typing import List, Union
from colossalai.legacy.core import global_context as gpc
# copied from high version pytorch to support low version
def _format_time(time_us):
"""Defines how to format time in FunctionEvent"""
US_IN_SECOND = 1000.0 * 1... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/utils/profiler/legacy/pcie_profiler.py | colossalai/legacy/utils/profiler/legacy/pcie_profiler.py | from pathlib import Path
from typing import List
from torch.autograd.profiler import profile
from .prof_utils import BaseProfiler, _format_bandwidth, _format_memory, _format_time
def _get_size(dtype: str):
if dtype == "fp16":
return 2
elif dtype == "fp32":
return 4
else:
raise No... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/utils/profiler/legacy/__init__.py | colossalai/legacy/utils/profiler/legacy/__init__.py | from .comm_profiler import CommProfiler
from .mem_profiler import MemProfiler
from .pcie_profiler import PcieProfiler
from .prof_utils import BaseProfiler, ProfilerContext
__all__ = ["BaseProfiler", "CommProfiler", "PcieProfiler", "MemProfiler", "ProfilerContext"]
| python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/utils/data_sampler/base_sampler.py | colossalai/legacy/utils/data_sampler/base_sampler.py | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
from abc import ABC, abstractmethod
class BaseSampler(ABC):
def __init__(self, dataset, batch_size):
self.dataset = dataset
self.batch_size = batch_size
@abstractmethod
def __len__(self):
pass
@abstractmethod
def __iter__(s... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/utils/data_sampler/__init__.py | colossalai/legacy/utils/data_sampler/__init__.py | from .base_sampler import BaseSampler
from .data_parallel_sampler import DataParallelSampler, get_dataloader
__all__ = ["BaseSampler", "DataParallelSampler", "get_dataloader"]
| python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/utils/data_sampler/data_parallel_sampler.py | colossalai/legacy/utils/data_sampler/data_parallel_sampler.py | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
# adapted from torch.utils.data.DistributedSampler
import math
import random
from typing import Iterator, TypeVar
import numpy as np
import torch
from torch.utils.data import DataLoader, Dataset, Sampler
from colossalai.legacy.context.parallel_mode import ParallelMode
... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/utils/checkpoint/module_checkpoint.py | colossalai/legacy/utils/checkpoint/module_checkpoint.py | from typing import Dict, Optional
import torch
import torch.distributed as dist
from colossalai.interface import OptimizerWrapper
from colossalai.tensor import ColoTensor
from .utils import gather_tensor, scatter_tensor
def save_checkpoint(
path: str,
epoch: int,
model: torch.nn.Module,
optimizer: ... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/utils/checkpoint/utils.py | colossalai/legacy/utils/checkpoint/utils.py | import torch
import torch.distributed as dist
from colossalai.legacy.tensor import ColoTensorSpec
from colossalai.legacy.tensor.distspec import DistPlacementPattern, _DistSpec
from colossalai.tensor import ColoTensor
def robust_broadcast(tensor):
with torch.no_grad():
is_cpu_ten = tensor.device.type == "... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/utils/checkpoint/__init__.py | colossalai/legacy/utils/checkpoint/__init__.py | from .module_checkpoint import load_checkpoint, save_checkpoint
__all__ = ["save_checkpoint", "load_checkpoint"]
| python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/tensor/op_wrapper.py | colossalai/legacy/tensor/op_wrapper.py | import functools
from typing import Callable, Dict
# Custom sharded ops
_COLOSSAL_OPS: Dict[str, Callable] = {}
def _register_colo_op(op, func):
global _COLOSSAL_OPS
_COLOSSAL_OPS[op] = func
def colo_op_impl(func):
"""
Provides a way for users to write their own custom operator. This
can be use... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/tensor/tensor_spec.py | colossalai/legacy/tensor/tensor_spec.py | from dataclasses import dataclass, field
from typing import Optional
from colossalai.legacy.tensor.distspec import DistPlacementPattern, _DistSpec
from colossalai.legacy.tensor.process_group import ProcessGroup
from .compute_spec import ComputeSpec
@dataclass
class ColoTensorSpec:
"""ColoTensorSpec
A data ... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/tensor/dist_spec_mgr.py | colossalai/legacy/tensor/dist_spec_mgr.py | from contextlib import contextmanager
import torch
import torch.distributed as dist
from numpy import prod
from colossalai.legacy.tensor.distspec import DistPlacementPattern, _DistSpec
from colossalai.legacy.tensor.process_group import ProcessGroup
# TODO(jiaruifang) circle import, move the divide to colossalai.com... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/tensor/const.py | colossalai/legacy/tensor/const.py | from enum import Enum
class TensorType(Enum):
MODEL = 0
NONMODEL = 1 # mainly activations
| python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/tensor/compute_spec.py | colossalai/legacy/tensor/compute_spec.py | from enum import Enum
class ComputePattern(Enum):
TP1D = 0
TP2D = 1
TP2P5D = 2
TP3D = 3
class ComputeSpec(object):
"""ComputeSpec
The Specification for computation pattern
Args:
compute_pattern (ComputePattern): an Enum instance for compute pattern.
"""
def __init__(sel... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/tensor/__init__.py | colossalai/legacy/tensor/__init__.py | from . import distspec
from .compute_spec import ComputePattern, ComputeSpec
from .dist_spec_mgr import DistSpecManager
from .distspec import ReplicaSpec, ShardSpec
from .process_group import ProcessGroup
from .tensor_spec import ColoTensorSpec
__all__ = [
"ComputePattern",
"ComputeSpec",
"distspec",
"... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/tensor/process_group.py | colossalai/legacy/tensor/process_group.py | from typing import List, Optional
import torch
from colossalai.context.singleton_meta import SingletonMeta
from colossalai.logging import get_dist_logger
class PyTorchProcessGroupDict(metaclass=SingletonMeta):
def __init__(self):
# distributed settings
# use this dict to record all Pytorch Proce... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/tensor/distspec.py | colossalai/legacy/tensor/distspec.py | from enum import Enum
from typing import List
__all__ = ["ReplicaSpec", "ShardSpec"]
class DistPlacementPattern(Enum):
REPLICATE = "r"
SHARD = "s"
class _DistSpec:
"""_DistSpec
A class indicates Distributed Specification.
The DistSpec is only works for the tensor parallel process groups.
B... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/nn/__init__.py | colossalai/legacy/nn/__init__.py | from .layer import *
from .loss import *
from .metric import *
| python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/nn/loss/loss_2p5d.py | colossalai/legacy/nn/loss/loss_2p5d.py | import torch
import torch.distributed as dist
from torch.cuda.amp import custom_bwd, custom_fwd
from torch.nn.functional import cross_entropy
from torch.nn.modules.loss import _Loss
from colossalai.accelerator import get_accelerator
from colossalai.legacy.context import ParallelMode
from colossalai.legacy.core import ... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/nn/loss/loss_3d.py | colossalai/legacy/nn/loss/loss_3d.py | import torch
import torch.distributed as dist
from torch.cuda.amp import custom_bwd, custom_fwd
from torch.nn.functional import cross_entropy
from torch.nn.modules.loss import _Loss
from colossalai.accelerator import get_accelerator
from colossalai.legacy.constants import INPUT_GROUP_3D, OUTPUT_GROUP_3D, WEIGHT_GROUP_... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/nn/loss/loss_2d.py | colossalai/legacy/nn/loss/loss_2d.py | import torch
import torch.distributed as dist
from torch.cuda.amp import custom_bwd, custom_fwd
from torch.nn.functional import cross_entropy
from torch.nn.modules.loss import _Loss
from colossalai.accelerator import get_accelerator
from colossalai.legacy.context import ParallelMode
from colossalai.legacy.core import ... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/nn/loss/loss_1d.py | colossalai/legacy/nn/loss/loss_1d.py | import torch
import torch.distributed as dist
from torch.cuda.amp import custom_bwd, custom_fwd
from torch.nn.modules.loss import _Loss
from colossalai.legacy.context import ParallelMode
from colossalai.legacy.core import global_context as gpc
from colossalai.legacy.registry import LOSSES
class _VocabParallelCrossEn... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/nn/loss/__init__.py | colossalai/legacy/nn/loss/__init__.py | from torch import nn
from torch.nn.modules.loss import *
from torch.nn.modules.loss import _Loss
from colossalai.legacy.global_variables import tensor_parallel_env as env
from colossalai.legacy.nn.layer.utils import get_tensor_parallel_mode
from .loss_1d import VocabParallelCrossEntropyLoss1D
from .loss_2d import Cro... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/nn/_ops/__init__.py | colossalai/legacy/nn/_ops/__init__.py | from ._utils import *
| python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/nn/_ops/_utils.py | colossalai/legacy/nn/_ops/_utils.py | from typing import List, Optional, Union
import torch
import torch.distributed as dist
from colossalai.legacy.global_variables import tensor_parallel_env as env
from colossalai.legacy.nn.layer.utils import divide
from colossalai.legacy.tensor import ColoTensorSpec, ProcessGroup
from colossalai.tensor import ColoTenso... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/nn/layer/__init__.py | colossalai/legacy/nn/layer/__init__.py | from .colossalai_layer import *
from .parallel_1d import *
from .parallel_2d import *
from .parallel_2p5d import *
from .parallel_3d import *
from .parallel_sequence import *
from .utils import *
from .vanilla import *
from .wrapper import *
| python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/nn/layer/base_layer.py | colossalai/legacy/nn/layer/base_layer.py | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
from contextlib import contextmanager
import torch.nn as nn
from colossalai.legacy.context import ParallelMode
from colossalai.legacy.core import global_context as gpc
class ParallelLayer(nn.Module):
global_state_dict: bool = True
def __init__(self):
... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/nn/layer/parallel_sequence/_operation.py | colossalai/legacy/nn/layer/parallel_sequence/_operation.py | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
import torch
from torch import distributed as dist
from torch.cuda.amp import custom_bwd, custom_fwd
from colossalai.accelerator import get_accelerator
from colossalai.legacy.communication import ring_forward
from colossalai.legacy.context.parallel_mode import ParallelM... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/nn/layer/parallel_sequence/__init__.py | colossalai/legacy/nn/layer/parallel_sequence/__init__.py | from ._operation import RingAV, RingQK
from .layers import TransformerSelfAttentionRing
__all__ = ["TransformerSelfAttentionRing", "RingAV", "RingQK"]
| python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/nn/layer/parallel_sequence/_utils.py | colossalai/legacy/nn/layer/parallel_sequence/_utils.py | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
def _calc_incoming_device_range(i, rank, world_size, sub_seq_length):
device_of_incoming_k = (rank - i - 1) % world_size
start_idx = sub_seq_length * device_of_incoming_k
end_idx = sub_seq_length * (device_of_incoming_k + 1)
return start_idx, end_idx
d... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/nn/layer/parallel_sequence/layers.py | colossalai/legacy/nn/layer/parallel_sequence/layers.py | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn import Parameter
from colossalai.legacy.context import seed
from colossalai.legacy.context.parallel_mode import ParallelMode
from colossalai.legacy.core import global_context a... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/nn/layer/utils/common.py | colossalai/legacy/nn/layer/utils/common.py | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
import collections.abc
from itertools import repeat
import numpy as np
import torch
from torch import Tensor, nn
from colossalai.legacy.constants import IS_TENSOR_PARALLEL, NUM_PARTITIONS
from colossalai.legacy.global_variables import tensor_parallel_env as env
from co... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/nn/layer/utils/__init__.py | colossalai/legacy/nn/layer/utils/__init__.py | from .common import (
ACT2FN,
CheckpointModule,
_ntuple,
divide,
get_tensor_parallel_mode,
set_tensor_parallel_attribute_by_partition,
set_tensor_parallel_attribute_by_size,
to_2tuple,
)
__all__ = [
"CheckpointModule",
"divide",
"ACT2FN",
"set_tensor_parallel_attribute_b... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/nn/layer/vanilla/__init__.py | colossalai/legacy/nn/layer/vanilla/__init__.py | from .layers import (
DropPath,
VanillaClassifier,
VanillaLayerNorm,
VanillaLinear,
VanillaPatchEmbedding,
WrappedDropout,
WrappedDropPath,
)
__all__ = [
"VanillaLayerNorm",
"VanillaPatchEmbedding",
"VanillaClassifier",
"DropPath",
"WrappedDropout",
"WrappedDropPath"... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/nn/layer/vanilla/layers.py | colossalai/legacy/nn/layer/vanilla/layers.py | import math
from typing import Callable
import torch
import torch.nn.functional as F
from torch import Tensor
from torch import nn as nn
from torch.nn.parameter import Parameter
from colossalai.accelerator import get_accelerator
from colossalai.legacy.context import seed
from colossalai.legacy.registry import LAYERS
... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/nn/layer/wrapper/pipeline_wrapper.py | colossalai/legacy/nn/layer/wrapper/pipeline_wrapper.py | from typing import List, Tuple, Union
import torch.distributed as dist
import torch.nn as nn
from colossalai.legacy.context import ParallelMode
from colossalai.legacy.core import global_context as gpc
class PipelineSharedModuleWrapper:
def __init__(self, pipeline_ranks: Union[List[int], Tuple[int]]) -> None:
... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/nn/layer/wrapper/__init__.py | colossalai/legacy/nn/layer/wrapper/__init__.py | from .pipeline_wrapper import PipelineSharedModuleWrapper
__all__ = ["PipelineSharedModuleWrapper"]
| python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/nn/layer/parallel_2d/_operation.py | colossalai/legacy/nn/layer/parallel_2d/_operation.py | from typing import Any, Optional, Tuple
import torch
import torch.distributed as dist
from torch import Tensor
from torch.cuda.amp import custom_bwd, custom_fwd
from colossalai.accelerator import get_accelerator
from colossalai.legacy.communication.collective import all_gather, all_reduce, reduce_scatter
from colossa... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | true |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/nn/layer/parallel_2d/__init__.py | colossalai/legacy/nn/layer/parallel_2d/__init__.py | from ._operation import reduce_by_batch_2d, split_batch_2d
from .layers import (
Classifier2D,
Embedding2D,
LayerNorm2D,
Linear2D,
PatchEmbedding2D,
VocabParallelClassifier2D,
VocabParallelEmbedding2D,
)
__all__ = [
"split_batch_2d",
"reduce_by_batch_2d",
"Linear2D",
"LayerN... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/nn/layer/parallel_2d/_utils.py | colossalai/legacy/nn/layer/parallel_2d/_utils.py | from colossalai.legacy.context.parallel_mode import ParallelMode
from colossalai.legacy.core import global_context as gpc
from colossalai.legacy.global_variables import tensor_parallel_env as env
def get_summa_dim_from_env() -> int:
try:
summa_dim = env.summa_dim
assert summa_dim > 0, "SUMMA_DIM m... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | false |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/nn/layer/parallel_2d/layers.py | colossalai/legacy/nn/layer/parallel_2d/layers.py | import math
from collections import OrderedDict
from typing import Callable
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch import Tensor
from torch.nn import Parameter
from colossalai.accelerator import get_accelerator
from colossalai.legacy.communication import broadcast
from colossala... | python | Apache-2.0 | b1915d2889543949eb5b610241f1515c73df5059 | 2026-01-04T14:40:19.002665Z | true |
hpcaitech/ColossalAI | https://github.com/hpcaitech/ColossalAI/blob/b1915d2889543949eb5b610241f1515c73df5059/colossalai/legacy/nn/layer/colossalai_layer/dropout.py | colossalai/legacy/nn/layer/colossalai_layer/dropout.py | import torch.nn as nn
from colossalai.legacy.context import ParallelMode, seed
from ..parallel_1d import *
from ..utils import get_tensor_parallel_mode
from ._utils import ColossalaiModule
class Dropout(ColossalaiModule):
"""Dropout layer of colossalai.
Args:
p (float, optional): probability of an ... | 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.