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OpenDAS
ColossalAI
Commits
2c45efc3
Unverified
Commit
2c45efc3
authored
Mar 31, 2022
by
Liang Bowen
Committed by
GitHub
Mar 31, 2022
Browse files
html refactor (#555)
parent
d1211148
Changes
133
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docs/colossalai/colossalai.nn.layer.parallel_2p5d.layers.rst
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docs/colossalai/colossalai.nn.layer.utils.common.rst
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docs/colossalai/colossalai.nn.rst
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docs/colossalai/colossalai.nn.layer.parallel_2p5d.layers.rst
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colossalai.nn.layer.parallel\_2p5d.layers
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colossalai.nn.layer.parallel\_3d.layers
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colossalai.nn.layer.parallel\_sequence.layers
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colossalai.nn.layer.utils.common
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colossalai.nn.layer.vanilla.layers
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colossalai.nn.layer.wrapper.lambda\_wrapper
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colossalai.nn.layer.wrapper.pipeline\_wrapper
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colossalai.nn.lr\_scheduler
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docs/colossalai/colossalai.nn.optimizer.rst
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colossalai.nn.optimizer
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colossalai.nn
=============
.. automodule:: colossalai.nn
:members:
*This part contains different colossalai layers for constructing your model.
You can easily use them as the way of using layers in torch.nn.*
*Now colossalai support layer types below:* ``Linear``, ``Classifier``, ``Embedding``,
``PatchEmbedding``, ``LayerNorm``, ``Dropout`` *for different parallelisms.*
.. toctree::
:maxdepth: 2
colossalai.nn.layer
*This part contains different loss functions for different parallelisms.*
.. toctree::
:maxdepth: 2
colossalai.nn.loss
*This part contains different learning rate schedules to control your learning rate
in training process*
.. toctree::
:maxdepth: 2
colossalai.nn.lr_scheduler
*This part contains different metric to measure performance of your model.*
.. toctree::
:maxdepth: 2
colossalai.nn.metric
*This part contains some colossalai optimizers*
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:maxdepth: 2
colossalai.nn.model
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colossalai.nn.optimizer
*This part contains different methods to initialize weights.*
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colossalai.nn.init
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docs/colossalai/colossalai.rst
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c
olossal
ai
C
olossal
-AI
==========
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colossalai.testing.comparison
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colossalai.testing
==================
==================
======
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\ No newline at end of file
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colossalai.testing.utils
========================
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