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[legacy] clean up legacy code (#4743)
* [legacy] remove outdated codes of pipeline (#4692) * [legacy] remove cli of benchmark and update optim (#4690) * [legacy] remove cli of benchmark and update optim * [doc] fix cli doc test * [legacy] fix engine clip grad norm * [legacy] remove outdated colo tensor (#4694) * [legacy] remove outdated colo tensor * [test] fix test import * [legacy] move outdated zero to legacy (#4696) * [legacy] clean up utils (#4700) * [legacy] clean up utils * [example] update examples * [legacy] clean up amp * [legacy] fix amp module * [legacy] clean up gpc (#4742) * [legacy] clean up context * [legacy] clean core, constants and global vars * [legacy] refactor initialize * [example] fix examples ci * [example] fix examples ci * [legacy] fix tests * [example] fix gpt example * [example] fix examples ci * [devops] fix ci installation * [example] fix examples ci
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@@ -31,7 +31,7 @@ global context for users to easily manage their process groups. If you wish to a
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define a new class and set it in your configuration file. To define your own way of creating process groups, you can
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follow the steps below to create a new distributed initialization.
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1. Add your parallel mode in `colossalai.context.parallel_mode.ParallelMode`.
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1. Add your parallel mode in `colossalai.legacy.context.parallel_mode.ParallelMode`.
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```python
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class ParallelMode(Enum):
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GLOBAL = 'global'
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@@ -37,7 +37,7 @@ import torch.nn as nn
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from colossalai import nn as col_nn
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from colossalai.amp import AMP_TYPE
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from colossalai.legacy.builder.pipeline import partition_uniform
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from colossalai.context.parallel_mode import ParallelMode
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from colossalai.legacy.context.parallel_mode import ParallelMode
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from colossalai.core import global_context as gpc
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from colossalai.legacy.engine.schedule import (InterleavedPipelineSchedule,
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PipelineSchedule)
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