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Update TPU docs for installation (#6794)
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kaushikb11 authored Apr 3, 2021
1 parent bb9ace4 commit 22a266d
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3 changes: 1 addition & 2 deletions docs/source/advanced/tpu.rst
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Expand Up @@ -64,8 +64,7 @@ To get a TPU on colab, follow these steps:

.. code-block::
!curl https://raw.githubusercontent.com/pytorch/xla/master/contrib/scripts/env-setup.py -o pytorch-xla-env-setup.py
!python pytorch-xla-env-setup.py --version 1.7 --apt-packages libomp5 libopenblas-dev
!pip install cloud-tpu-client==0.10 https://storage.googleapis.com/tpu-pytorch/wheels/torch_xla-1.8-cp37-cp37m-linux_x86_64.whl
5. Once the above is done, install PyTorch Lightning (v 0.7.0+).

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4 changes: 1 addition & 3 deletions docs/source/starter/introduction_guide.rst
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Expand Up @@ -572,9 +572,7 @@ Next, install the required xla library (adds support for PyTorch on TPUs)

.. code-block:: shell
!curl https://raw.githubusercontent.com/pytorch/xla/master/contrib/scripts/env-setup.py -o pytorch-xla-env-setup.py
!python pytorch-xla-env-setup.py --version nightly --apt-packages libomp5 libopenblas-dev
!pip install cloud-tpu-client==0.10 https://storage.googleapis.com/tpu-pytorch/wheels/torch_xla-1.8-cp37-cp37m-linux_x86_64.whl
In distributed training (multiple GPUs and multiple TPU cores) each GPU or TPU core will run a copy
of this program. This means that without taking any care you will download the dataset N times which
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