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try PT 1.8 compatible fairscale #5996

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merged 6 commits into from Feb 16, 2021
Merged

try PT 1.8 compatible fairscale #5996

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2a27c82
try to extend fairscale available
Borda Feb 15, 2021
4a1e771
1.2
Borda Feb 16, 2021
aef1c27
Merge branch 'master' into fix/fairscale-pt-1.8
tchaton Feb 16, 2021
1004d4f
Merge branch 'master' into fix/fairscale-pt-1.8
mergify[bot] Feb 16, 2021
a555941
Merge branch 'master' into fix/fairscale-pt-1.8
mergify[bot] Feb 16, 2021
7dfdf58
Merge branch 'master' into fix/fairscale-pt-1.8
mergify[bot] Feb 16, 2021
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2 changes: 1 addition & 1 deletion docs/source/advanced/multi_gpu.rst
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Expand Up @@ -685,7 +685,7 @@ To get started, install FairScale using the command below. We install a specific

.. code-block:: bash

pip install https://github.com/PyTorchLightning/fairscale/archive/pl_1.1.0.zip
pip install https://github.com/PyTorchLightning/fairscale/archive/pl_1.2.0.zip

To use Sequential Model Parallelism, you must define a :class:`nn.Sequential <torch.nn.Sequential>` module that defines the layers you wish to parallelize across GPUs.
This should be kept within the ``sequential_module`` variable within your ``LightningModule`` like below.
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2 changes: 1 addition & 1 deletion requirements/extra.txt
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Expand Up @@ -7,4 +7,4 @@ torchtext>=0.5, <0.7 # TODO: temporary fix fix for compatibility
onnx>=1.7.0
onnxruntime>=1.3.0
hydra-core>=1.0
https://github.com/PyTorchLightning/fairscale/archive/pl_1.1.0.zip
https://github.com/PyTorchLightning/fairscale/archive/pl_1.2.0.zip