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remove outdated info about seeding in multi-gpu docs #6032

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2 changes: 0 additions & 2 deletions docs/source/advanced/multi_gpu.rst
Original file line number Diff line number Diff line change
Expand Up @@ -284,8 +284,6 @@ Distributed Data Parallel

3. Each process inits the model.

.. note:: Make sure to set the random seed before the instantiation of a ``Trainer()`` so that each model initializes with the same weights.

4. Each process performs a full forward and backward pass in parallel.

5. The gradients are synced and averaged across all processes.
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