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[docs] Update Bolts link (#6743)
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* Update Bolts link

* Update Bolts link

* formt

Co-authored-by: Jirka Borovec <[email protected]>
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akihironitta and Borda authored Mar 30, 2021
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20 changes: 10 additions & 10 deletions README.md
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Expand Up @@ -342,27 +342,27 @@ class LitAutoEncoder(pl.LightningModule):
- [MNIST on TPUs](https://colab.research.google.com/github/PytorchLightning/pytorch-lightning/blob/master/notebooks/06-mnist-tpu-training.ipynb)

###### Contrastive Learning
- [BYOL](https://pytorch-lightning-bolts.readthedocs.io/en/latest/self_supervised_models.html#byol)
- [CPC v2](https://pytorch-lightning-bolts.readthedocs.io/en/latest/self_supervised_models.html#cpc-v2)
- [Moco v2](https://pytorch-lightning-bolts.readthedocs.io/en/latest/self_supervised_models.html#moco-v2)
- [SIMCLR](https://pytorch-lightning-bolts.readthedocs.io/en/latest/self_supervised_models.html#simclr)
- [BYOL](https://lightning-bolts.readthedocs.io/en/latest/self_supervised_models.html#byol)
- [CPC v2](https://lightning-bolts.readthedocs.io/en/latest/self_supervised_models.html#cpc-v2)
- [Moco v2](https://lightning-bolts.readthedocs.io/en/latest/self_supervised_models.html#moco-v2)
- [SIMCLR](https://lightning-bolts.readthedocs.io/en/latest/self_supervised_models.html#simclr)

###### NLP
- [BERT](https://colab.research.google.com/github/PytorchLightning/pytorch-lightning/blob/master/notebooks/04-transformers-text-classification.ipynb)
- [GPT-2](https://pytorch-lightning-bolts.readthedocs.io/en/latest/convolutional.html#gpt-2)
- [GPT-2](https://lightning-bolts.readthedocs.io/en/latest/convolutional.html#gpt-2)


###### Reinforcement Learning
- [DQN](https://pytorch-lightning-bolts.readthedocs.io/en/latest/reinforce_learn.html#dqn-models)
- [Dueling-DQN](https://pytorch-lightning-bolts.readthedocs.io/en/latest/reinforce_learn.html#dueling-dqn)
- [Reinforce](https://pytorch-lightning-bolts.readthedocs.io/en/latest/reinforce_learn.html#reinforce)
- [DQN](https://lightning-bolts.readthedocs.io/en/latest/reinforce_learn.html#dqn-models)
- [Dueling-DQN](https://lightning-bolts.readthedocs.io/en/latest/reinforce_learn.html#dueling-dqn)
- [Reinforce](https://lightning-bolts.readthedocs.io/en/latest/reinforce_learn.html#reinforce)

###### Vision
- [GAN](https://colab.research.google.com/github/PytorchLightning/pytorch-lightning/blob/master/notebooks/03-basic-gan.ipynb)

###### Classic ML
- [Logistic Regression](https://pytorch-lightning-bolts.readthedocs.io/en/latest/classic_ml.html#logistic-regression)
- [Linear Regression](https://pytorch-lightning-bolts.readthedocs.io/en/latest/classic_ml.html#linear-regression)
- [Logistic Regression](https://lightning-bolts.readthedocs.io/en/latest/classic_ml.html#logistic-regression)
- [Linear Regression](https://lightning-bolts.readthedocs.io/en/latest/classic_ml.html#linear-regression)

---

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4 changes: 2 additions & 2 deletions docs/source/ecosystem/bolts.rst
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@@ -1,11 +1,11 @@
Bolts
=====
`PyTorch Lightning Bolts <https://pytorch-lightning-bolts.readthedocs.io/en/latest/>`_, is our official collection
`PyTorch Lightning Bolts <https://lightning-bolts.readthedocs.io/en/latest/>`_, is our official collection
of prebuilt models across many research domains.

.. code-block:: bash
pip install pytorch-lightning-bolts
pip install lightning-bolts
In bolts we have:

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10 changes: 5 additions & 5 deletions docs/source/extensions/callbacks.rst
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Expand Up @@ -71,10 +71,10 @@ Examples
--------
You can do pretty much anything with callbacks.

- `Add a MLP to fine-tune self-supervised networks <https://pytorch-lightning-bolts.readthedocs.io/en/latest/self_supervised_callbacks.html#sslonlineevaluator>`_.
- `Find how to modify an image input to trick the classification result <https://pytorch-lightning-bolts.readthedocs.io/en/latest/vision_callbacks.html#confused-logit>`_.
- `Interpolate the latent space of any variational model <https://pytorch-lightning-bolts.readthedocs.io/en/latest/variational_callbacks.html#latent-dim-interpolator>`_.
- `Log images to Tensorboard for any model <https://pytorch-lightning-bolts.readthedocs.io/en/latest/vision_callbacks.html#tensorboard-image-generator>`_.
- `Add a MLP to fine-tune self-supervised networks <https://lightning-bolts.readthedocs.io/en/latest/self_supervised_callbacks.html#sslonlineevaluator>`_.
- `Find how to modify an image input to trick the classification result <https://lightning-bolts.readthedocs.io/en/latest/vision_callbacks.html#confused-logit>`_.
- `Interpolate the latent space of any variational model <https://lightning-bolts.readthedocs.io/en/latest/variational_callbacks.html#latent-dim-interpolator>`_.
- `Log images to Tensorboard for any model <https://lightning-bolts.readthedocs.io/en/latest/vision_callbacks.html#tensorboard-image-generator>`_.


--------------
Expand All @@ -85,7 +85,7 @@ Lightning has a few built-in callbacks.

.. note::
For a richer collection of callbacks, check out our
`bolts library <https://pytorch-lightning-bolts.readthedocs.io/en/latest/callbacks.html>`_.
`bolts library <https://lightning-bolts.readthedocs.io/en/latest/callbacks.html>`_.

.. currentmodule:: pytorch_lightning.callbacks

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16 changes: 8 additions & 8 deletions docs/source/index.rst
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Expand Up @@ -79,14 +79,14 @@ PyTorch Lightning Documentation

ecosystem/pytorch_ecoystem
ecosystem/community_examples
Autoencoder <https://pytorch-lightning-bolts.readthedocs.io/en/latest/autoencoders.html#autoencoders>
BYOL <https://pytorch-lightning-bolts.readthedocs.io/en/latest/self_supervised_models.html#byol>
DQN <https://pytorch-lightning-bolts.readthedocs.io/en/latest/reinforce_learn.html#deep-q-network-dqn>
GAN <https://pytorch-lightning-bolts.readthedocs.io/en/latest/gans.html#basic-gan>
GPT-2 <https://pytorch-lightning-bolts.readthedocs.io/en/latest/convolutional.html#gpt-2>
Image-GPT <https://pytorch-lightning-bolts.readthedocs.io/en/latest/convolutional.html#image-gpt>
SimCLR <https://pytorch-lightning-bolts.readthedocs.io/en/latest/self_supervised_models.html#simclr>
VAE <https://pytorch-lightning-bolts.readthedocs.io/en/latest/autoencoders.html#basic-vae>
Autoencoder <https://lightning-bolts.readthedocs.io/en/latest/autoencoders.html#autoencoders>
BYOL <https://lightning-bolts.readthedocs.io/en/latest/self_supervised_models.html#byol>
DQN <https://lightning-bolts.readthedocs.io/en/latest/reinforce_learn.html#deep-q-network-dqn>
GAN <https://lightning-bolts.readthedocs.io/en/latest/gans.html#basic-gan>
GPT-2 <https://lightning-bolts.readthedocs.io/en/latest/convolutional.html#gpt-2>
Image-GPT <https://lightning-bolts.readthedocs.io/en/latest/convolutional.html#image-gpt>
SimCLR <https://lightning-bolts.readthedocs.io/en/latest/self_supervised_models.html#simclr>
VAE <https://lightning-bolts.readthedocs.io/en/latest/autoencoders.html#basic-vae>

.. toctree::
:maxdepth: 1
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2 changes: 1 addition & 1 deletion notebooks/07-cifar10-baseline.ipynb
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Expand Up @@ -61,7 +61,7 @@
"id": "ziAQCrE-TYWG"
},
"source": [
"! pip install pytorch-lightning pytorch-lightning-bolts -qU"
"! pip install pytorch-lightning lightning-bolts -qU"
],
"execution_count": null,
"outputs": []
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4 changes: 2 additions & 2 deletions pl_examples/README.md
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@@ -1,6 +1,6 @@
# Examples
Our most robust examples showing all sorts of implementations
can be found in our sister library [PyTorch-Lightning-Bolts](https://pytorch-lightning-bolts.readthedocs.io/en/latest/convolutional.html#gpt-2).
can be found in our sister library [PyTorch-Lightning-Bolts](https://lightning-bolts.readthedocs.io/en/latest/convolutional.html#gpt-2).

---

Expand All @@ -15,5 +15,5 @@ In this folder we add 3 simple examples:

## Domain examples
This folder contains older examples. You should instead use the examples
in [PyTorch-Lightning-Bolts](https://pytorch-lightning-bolts.readthedocs.io/en/latest/convolutional.html#gpt-2)
in [PyTorch-Lightning-Bolts](https://lightning-bolts.readthedocs.io/en/latest/convolutional.html#gpt-2)
for advanced use cases.
2 changes: 1 addition & 1 deletion pl_examples/basic_examples/conv_sequential_example.py
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Expand Up @@ -199,7 +199,7 @@ def instantiate_datamodule(args):
if __name__ == "__main__":
cli_lightning_logo()

assert _BOLTS_AVAILABLE, "Bolts is required for this example, install it via pip install pytorch-lightning-bolts"
assert _BOLTS_AVAILABLE, "Bolts is required for this example, install it via `pip install lightning-bolts`"
assert _FAIRSCALE_PIPE_AVAILABLE, "FairScale and PyTorch 1.6 is required for this example."

parser = ArgumentParser(description="Pipe Example")
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