2023-03-27 02:24:14 +00:00
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import functools
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2023-03-22 06:11:54 +00:00
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import os
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from contextlib import contextmanager
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import torch.distributed as dist
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from torch.distributed import ProcessGroup
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from colossalai.context.singleton_meta import SingletonMeta
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class DistCoordinator(metaclass=SingletonMeta):
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"""
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This class is used to coordinate distributed training. It is a singleton class, which means that there is only one instance of this
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class in the whole program.
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There are some terms that are used in this class:
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- rank: the rank of the current process
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- world size: the total number of processes
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- local rank: the rank of the current process on the current node
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- master: the process with rank 0
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- node master: the process with local rank 0 on the current node
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2023-09-26 02:57:47 +00:00
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```python
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from colossalai.cluster.dist_coordinator import DistCoordinator
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coordinator = DistCoordinator()
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if coordinator.is_master():
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do_something()
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coordinator.print_on_master('hello world')
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```
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2023-03-22 06:11:54 +00:00
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Attributes:
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rank (int): the rank of the current process
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world_size (int): the total number of processes
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local_rank (int): the rank of the current process on the current node
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"""
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def __init__(self):
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2023-09-19 06:20:26 +00:00
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assert (
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dist.is_initialized()
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), "Distributed is not initialized. Please call `torch.distributed.init_process_group` or `colossalai.launch` first."
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2023-03-22 06:11:54 +00:00
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self._rank = dist.get_rank()
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self._world_size = dist.get_world_size()
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# this is often passed by launchers such as torchrun
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[FP8] rebase main (#5963)
* add SimPO
* fix dataloader
* remove debug code
* add orpo
* fix style
* fix colossalai, transformers version
* fix colossalai, transformers version
* fix colossalai, transformers version
* fix torch colossalai version
* update transformers version
* [shardformer] DeepseekMoE support (#5871)
* [Feature] deepseek moe expert parallel implement
* [misc] fix typo, remove redundant file (#5867)
* [misc] fix typo
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* [Feature] deepseek support & unit test
* [misc] remove debug code & useless print
* [misc] fix typos (#5872)
* [Feature] remove modeling file, use auto config. (#5884)
* [misc] fix typos
* [Feature] deepseek support via auto model, remove modeling file
* [misc] delete useless file
* [misc] fix typos
* [Deepseek] remove redundant code (#5888)
* [misc] fix typos
* [Feature] deepseek support via auto model, remove modeling file
* [misc] delete useless file
* [misc] fix typos
* [misc] remove redundant code
* [Feature/deepseek] resolve comment. (#5889)
* [misc] fix typos
* [Feature] deepseek support via auto model, remove modeling file
* [misc] delete useless file
* [misc] fix typos
* [misc] remove redundant code
* [misc] mv module replacement into if branch
* [misc] add some warning message and modify some code in unit test
* [misc] fix typos
---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* [Hoxfix] Fix CUDA_DEVICE_MAX_CONNECTIONS for comm overlap
Co-authored-by: Edenzzzz <wtan45@wisc.edu>
* [Feat] Diffusion Model(PixArtAlpha/StableDiffusion3) Support (#5838)
* Diffusion Model Inference support
* Stable Diffusion 3 Support
* pixartalpha support
* [HotFix] CI,import,requirements-test for #5838 (#5892)
* [Hot Fix] CI,import,requirements-test
---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* [Feature] Enable PP + SP for llama (#5868)
* fix cross-PP-stage position id length diff bug
* fix typo
* fix typo
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* use a one cross entropy func for all shardformer models
---------
Co-authored-by: Edenzzzz <wtan45@wisc.edu>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* [ShardFormer] Add Ulysses Sequence Parallelism support for Command-R, Qwen2 and ChatGLM (#5897)
* add benchmark for sft, dpo, simpo, orpo. Add benchmarking result. Support lora with gradient checkpoint
* fix style
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* fix eval
* hotfix citation
* [zero] support all-gather overlap (#5898)
* [zero] support all-gather overlap
* [zero] add overlap all-gather flag
* [misc] fix typo
* [zero] update api
* fix orpo cross entropy loss
* [Auto Parallel]: Speed up intra-op plan generation by 44% (#5446)
* Remove unnecessary calls to deepcopy
* Build DimSpec's difference dict only once
This change considerably speeds up construction speed of DimSpec objects. The difference_dict is the same for each DimSpec object, so a single copy of it is enough.
* Fix documentation of DimSpec's difference method
* [ShardFormer] fix qwen2 sp (#5903)
* [compatibility] support torch 2.2 (#5875)
* Support Pytorch 2.2.2
* keep build_on_pr file and update .compatibility
* fix object_to_tensor usage when torch>=2.3.0 (#5820)
* [misc] support torch2.3 (#5893)
* [misc] support torch2.3
* [devops] update compatibility ci
* [devops] update compatibility ci
* [devops] add debug
* [devops] add debug
* [devops] add debug
* [devops] add debug
* [devops] remove debug
* [devops] remove debug
* [release] update version (#5912)
* [plugin] support all-gather overlap for hybrid parallel (#5919)
* [plugin] fixed all-gather overlap support for hybrid parallel
* add kto
* fix style, add kto data sample
* [Examples] Add lazy init to OPT and GPT examples (#5924)
Co-authored-by: Edenzzzz <wtan45@wisc.edu>
* [ColossalChat] Hotfix for ColossalChat (#5910)
* add ignore and tiny llama
* fix path issue
* run style
* fix issue
* update bash
* add ignore and tiny llama
* fix path issue
* run style
* fix issue
* update bash
* fix ddp issue
* add Qwen 1.5 32B
* refactor tokenization
* [FIX BUG] UnboundLocalError: cannot access local variable 'default_conversation' where it is not associated with a value (#5931)
* cannot access local variable 'default_conversation' where it is not associated with a value
set default value for 'default_conversation'
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* fix test data
* refactor evaluation
* remove real data path
* remove real data path
* Add n_fused as an input from native_module (#5894)
* [FIX BUG] convert env param to int in (#5934)
* [Hotfix] Fix ZeRO typo #5936
Co-authored-by: Edenzzzz <wtan45@wisc.edu>
* [Feature] Add a switch to control whether the model checkpoint needs to be saved after each epoch ends (#5941)
* Add a switch to control whether the model checkpoint needs to be saved after each epoch ends
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* fix style
* fix style
* fix style
* [shardformer] hotfix attn mask (#5945)
* [shardformer] hotfix attn mask (#5947)
* [Feat] Distrifusion Acceleration Support for Diffusion Inference (#5895)
* Distrifusion Support source
* comp comm overlap optimization
* sd3 benchmark
* pixart distrifusion bug fix
* sd3 bug fix and benchmark
* generation bug fix
* naming fix
* add docstring, fix counter and shape error
* add reference
* readme and requirement
* [zero] hotfix update master params (#5951)
* [release] update version (#5952)
* [Chat] Fix lora (#5946)
* fix merging
* remove filepath
* fix style
* Update README.md (#5958)
* [hotfix] Remove unused plan section (#5957)
* remove readme
* fix readme
* update
* [test] add mixtral for sequence classification
* [test] add mixtral transformer test
* [moe] fix plugin
* [test] mixtra pp shard test
* [chore] handle non member group
* [zero] solve hang
* [test] pass mixtral shardformer test
* [moe] implement transit between non moe tp and ep
* [zero] solve hang
* [misc] solve booster hang by rename the variable
* solve hang when parallel mode = pp + dp
* [moe] implement submesh initialization
* [moe] add mixtral dp grad scaling when not all experts are activated
* [chore] manually revert unintended commit
* [chore] trivial fix
* [chore] arg pass & remove drop token
* [test] add mixtral modelling test
* [moe] implement tp
* [moe] test deepseek
* [moe] clean legacy code
* [Feature] MoE Ulysses Support (#5918)
* moe sp support
* moe sp bug solve
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
---------
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* [chore] minor fix
* [moe] init moe plugin comm setting with sp
* moe sp + ep bug fix
* [moe] finalize test (no pp)
* [moe] full test for deepseek and mixtral (pp + sp to fix)
* [chore] minor fix after rebase
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* [chore] solve moe ckpt test failure and some other arg pass failure
* [moe] remove ops
* [test] fix test: test_zero1_2
* [bug] fix: somehow logger hangs the program
* [moe] deepseek moe sp support
* [test] add check
* [deepseek] replace attn (a workaround for bug in transformers)
* [misc] skip redunant test
* [misc] remove debug/print code
* [moe] refactor mesh assignment
* Revert "[moe] implement submesh initialization"
This reverts commit 2f9bce6686d1415a83d5726dc5ff02222c742582.
* [chore] change moe_pg_mesh to private
* [misc] remove incompatible test config
* [misc] fix ci failure: change default value to false in moe plugin
* [misc] remove useless condition
* [chore] docstring
* [moe] remove force_overlap_comm flag and add warning instead
* [doc] add MoeHybridParallelPlugin docstring
* [moe] solve dp axis issue
* [chore] remove redundant test case, print string & reduce test tokens
* [feat] Dist Loader for Eval (#5950)
* support auto distributed data loader
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* support auto distributed data loader
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* fix tp error
* remove unused parameters
* remove unused
* update inference
* update docs
* update inference
---------
Co-authored-by: Michelle <qianranma8@gmail.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* [lora] lora support hybrid parallel plugin (#5956)
* lora support hybrid plugin
* fix
* fix
* fix
* fix
* fp8 operators for compressed communication
cast_to_fp8, cast_from_fp8, all_reduce_fp8
* fix scaling algorithm in FP8 casting
* support fp8 communication in pipeline parallelism
* add fp8_communication flag in the script
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* fix typo
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* shardformer fp8
* fix rebase
* remove all to all
* fix shardformer fp8 communication training degradation
* [fp8] support all-gather flat tensor (#5932)
* [pre-commit.ci] auto fixes from pre-commit.com hooks
for more information, see https://pre-commit.ci
* fix
* Update low_level_optim.py
---------
Co-authored-by: YeAnbang <anbangy2@outlook.com>
Co-authored-by: Haze188 <haze188@qq.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Edenzzzz <wenxuan.tan@wisc.edu>
Co-authored-by: Edenzzzz <wtan45@wisc.edu>
Co-authored-by: Runyu Lu <77330637+LRY89757@users.noreply.github.com>
Co-authored-by: Guangyao Zhang <xjtu521@qq.com>
Co-authored-by: YeAnbang <44796419+YeAnbang@users.noreply.github.com>
Co-authored-by: Hongxin Liu <lhx0217@gmail.com>
Co-authored-by: Stephan Kö <stephankoe@users.noreply.github.com>
Co-authored-by: アマデウス <kurisusnowdeng@users.noreply.github.com>
Co-authored-by: Tong Li <tong.li352711588@gmail.com>
Co-authored-by: zhurunhua <1281592874@qq.com>
Co-authored-by: Insu Jang <insujang@umich.edu>
Co-authored-by: Gao, Ruiyuan <905370712@qq.com>
Co-authored-by: hxwang <wang1570@e.ntu.edu.sg>
Co-authored-by: Michelle <qianranma8@gmail.com>
Co-authored-by: Wang Binluo <32676639+wangbluo@users.noreply.github.com>
Co-authored-by: HangXu <hangxu0304@gmail.com>
2024-08-06 08:29:37 +00:00
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self._local_rank = int(os.environ.get("LOCAL_RANK", -1))
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2023-03-22 06:11:54 +00:00
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@property
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def rank(self) -> int:
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return self._rank
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@property
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def world_size(self) -> int:
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return self._world_size
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@property
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def local_rank(self) -> int:
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return self._local_rank
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def _assert_local_rank_set(self):
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"""
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Assert that the local rank is set. This is often passed by launchers such as torchrun.
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"""
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2023-09-19 06:20:26 +00:00
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assert (
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self.local_rank >= 0
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), "The environment variable LOCAL_RANK is not set, thus the coordinator is not aware of the local rank of the current process."
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2023-03-22 06:11:54 +00:00
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def is_master(self, process_group: ProcessGroup = None) -> bool:
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"""
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Check if the current process is the master process (rank is 0). It can accept a sub process group to check the rank 0 with respect to the process.
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Args:
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process_group (ProcessGroup, optional): process group to use for the rank 0 check. Defaults to None, which refers to the default process group.
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Returns:
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bool: True if the current process is the master process, False otherwise
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"""
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rank = dist.get_rank(group=process_group)
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return rank == 0
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def is_node_master(self) -> bool:
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"""
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Check if the current process is the master process on the current node (local rank is 0).
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Returns:
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bool: True if the current process is the master process on the current node, False otherwise
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"""
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self._assert_local_rank_set()
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return self.local_rank == 0
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def is_last_process(self, process_group: ProcessGroup = None) -> bool:
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"""
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Check if the current process is the last process (rank is world size - 1). It can accept a sub process group to check the last rank with respect to the process.
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Args:
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process_group (ProcessGroup, optional): process group to use for the last rank check. Defaults to None, which refers to the default process group.
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Returns:
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bool: True if the current process is the last process, False otherwise
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"""
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rank = dist.get_rank(group=process_group)
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world_size = dist.get_world_size(group=process_group)
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return rank == world_size - 1
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def print_on_master(self, msg: str, process_group: ProcessGroup = None):
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"""
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Print message only from rank 0.
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Args:
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msg (str): message to print
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process_group (ProcessGroup, optional): process group to use for the rank 0 check. Defaults to None, which refers to the default process group.
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"""
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rank = dist.get_rank(group=process_group)
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if rank == 0:
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print(msg)
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def print_on_node_master(self, msg: str):
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"""
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Print message only from local rank 0. Local rank 0 refers to the 0th process running the current node.
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Args:
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msg (str): message to print
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"""
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self._assert_local_rank_set()
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if self.local_rank == 0:
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print(msg)
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@contextmanager
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def priority_execution(self, executor_rank: int = 0, process_group: ProcessGroup = None):
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"""
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This context manager is used to allow one process to execute while blocking all
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other processes in the same process group. This is often useful when downloading is required
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as we only want to download in one process to prevent file corruption.
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2023-09-26 02:57:47 +00:00
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```python
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from colossalai.cluster import DistCoordinator
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dist_coordinator = DistCoordinator()
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with dist_coordinator.priority_execution():
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dataset = CIFAR10(root='./data', download=True)
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```
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2023-03-22 06:11:54 +00:00
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Args:
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executor_rank (int): the process rank to execute without blocking, all other processes will be blocked
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process_group (ProcessGroup, optional): process group to use for the executor rank check. Defaults to None, which refers to the default process group.
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"""
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rank = dist.get_rank(group=process_group)
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should_block = rank != executor_rank
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if should_block:
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2023-03-27 02:24:14 +00:00
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self.block_all(process_group)
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2023-03-22 06:11:54 +00:00
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yield
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if not should_block:
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2023-03-27 02:24:14 +00:00
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self.block_all(process_group)
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2023-03-22 06:11:54 +00:00
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def destroy(self, process_group: ProcessGroup = None):
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"""
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Destroy the distributed process group.
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Args:
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process_group (ProcessGroup, optional): process group to destroy. Defaults to None, which refers to the default process group.
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"""
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dist.destroy_process_group(process_group)
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2023-03-27 02:24:14 +00:00
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def block_all(self, process_group: ProcessGroup = None):
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"""
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Block all processes in the process group.
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Args:
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process_group (ProcessGroup, optional): process group to block. Defaults to None, which refers to the default process group.
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"""
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dist.barrier(group=process_group)
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def on_master_only(self, process_group: ProcessGroup = None):
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"""
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A function wrapper that only executes the wrapped function on the master process (rank 0).
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2023-09-26 02:57:47 +00:00
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```python
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from colossalai.cluster import DistCoordinator
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dist_coordinator = DistCoordinator()
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@dist_coordinator.on_master_only()
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def print_on_master(msg):
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print(msg)
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```
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2023-03-27 02:24:14 +00:00
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"""
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is_master = self.is_master(process_group)
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2023-05-24 01:01:50 +00:00
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# define an inner function
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2023-03-27 02:24:14 +00:00
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def decorator(func):
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@functools.wraps(func)
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def wrapper(*args, **kwargs):
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if is_master:
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return func(*args, **kwargs)
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return wrapper
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return decorator
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