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William Falcon
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* added outline of all features * updated common use cases doc * updated common use cases doc * updated common use cases doc * updated common use cases doc * updated common use cases doc * updated common use cases doc * updated common use cases doc * updated common use cases doc * updated common use cases doc * updated common use cases doc * updated common use cases doc * updated common use cases doc * updated common use cases doc * updated docs
42 lines
1.1 KiB
ReStructuredText
42 lines
1.1 KiB
ReStructuredText
16-bit training
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=================
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Lightning uses NVIDIA apex to handle 16-bit precision training.
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To use 16-bit precision, do two things:
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1. Install Apex
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2. Set the amp trainer flag.
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Install apex
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----------------------------------------------
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.. code-block:: bash
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$ git clone https://github.com/NVIDIA/apex
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$ cd apex
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# ------------------------
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# OPTIONAL: on your cluster you might need to load cuda 10 or 9
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# depending on how you installed PyTorch
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# see available modules
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module avail
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# load correct cuda before install
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module load cuda-10.0
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# ------------------------
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# make sure you've loaded a cuda version > 4.0 and < 7.0
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module load gcc-6.1.0
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$ pip install -v --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" ./
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Enable 16-bit
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--------------
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.. code-block:: python
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# DEFAULT
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trainer = Trainer(amp_level='O1', use_amp=False)
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If you need to configure the apex init for your particular use case or want to use a different way of doing
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16-bit training, override :meth:`pytorch_lightning.core.LightningModule.configure_apex`. |