mirror of
https://github.com/wassname/pytorch-lightning.git
synced 2026-09-24 13:50:25 +08:00
7c7e50ca47
* added tpu_id added tpu_id to mixins * train on individual tpu * parallel loader if tpu_id is None * removed progress_bar_refresh_rate * chlog * replaced num_tpu_cores with tpu_cores * set tpu_id to None if int * changed num_tpu_cores to tpu_cores in docs * updated docs * updated __init__.py removed self.tpu_id for ParallelLoader * Update pytorch_lightning/trainer/__init__.py * check if tpu_cores is a list Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> * xla device conditional * num_tpu_cores deprecation * removed duplicate warning * fixed pep8 error * Revert "removed duplicate warning" This reverts commit 8adb0a9b * deprecated api update * fixed recursion error * fixed tests * fixed flake errors * removed current_tpu_index * Update CHANGELOG.md * Update trainer.py Co-authored-by: Jirka <jirka.borovec@seznam.cz> Co-authored-by: Jirka Borovec <Borda@users.noreply.github.com> Co-authored-by: William Falcon <waf2107@columbia.edu>
65 lines
1.5 KiB
ReStructuredText
65 lines
1.5 KiB
ReStructuredText
.. testsetup:: *
|
|
|
|
from pytorch_lightning.trainer.trainer import Trainer
|
|
|
|
|
|
16-bit training
|
|
=================
|
|
Lightning offers 16-bit training for CPUs, GPUs and TPUs.
|
|
|
|
GPU 16-bit
|
|
-----------
|
|
Lightning uses NVIDIA apex to handle 16-bit precision training.
|
|
|
|
To use 16-bit precision, do two things:
|
|
|
|
1. Install Apex
|
|
2. Set the "precision" trainer flag.
|
|
|
|
Install apex
|
|
^^^^^^^^^^^^
|
|
.. code-block:: bash
|
|
|
|
$ git clone https://github.com/NVIDIA/apex
|
|
$ cd apex
|
|
|
|
# ------------------------
|
|
# OPTIONAL: on your cluster you might need to load cuda 10 or 9
|
|
# depending on how you installed PyTorch
|
|
|
|
# see available modules
|
|
module avail
|
|
|
|
# load correct cuda before install
|
|
module load cuda-10.0
|
|
# ------------------------
|
|
|
|
# make sure you've loaded a cuda version > 4.0 and < 7.0
|
|
module load gcc-6.1.0
|
|
|
|
$ pip install -v --no-cache-dir --global-option="--cpp_ext" --global-option="--cuda_ext" ./
|
|
|
|
|
|
Enable 16-bit
|
|
^^^^^^^^^^^^^
|
|
|
|
.. testcode::
|
|
|
|
# turn on 16-bit
|
|
trainer = Trainer(amp_level='O1', precision=16)
|
|
|
|
If you need to configure the apex init for your particular use case or want to use a different way of doing
|
|
16-bit training, override :meth:`pytorch_lightning.core.LightningModule.configure_apex`.
|
|
|
|
TPU 16-bit
|
|
----------
|
|
16-bit on TPus is much simpler. To use 16-bit with TPUs set precision to 16 when using the tpu flag
|
|
|
|
.. testcode::
|
|
|
|
# DEFAULT
|
|
trainer = Trainer(tpu_cores=8, precision=32)
|
|
|
|
# turn on 16-bit
|
|
trainer = Trainer(tpu_cores=8, precision=16)
|