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Accelerator Refactor: Precision Plugins #5718
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a6e6e20
add basic accelerator class.
justusschock 3c5b0a6
add basic trainign type plugin.
justusschock 5ab4b9e
pep8
justusschock ab4660d
update copyright
justusschock 1ade664
add apex_amp
justusschock bcd0e7a
add mixed base class
justusschock a287567
add native amp
justusschock 1ff9b42
add native amp sharded
justusschock 1b82554
add tpu bfloat
justusschock 791fe19
add inits
justusschock 94e0b28
Update precision_plugin.py
justusschock 97eab50
Update pytorch_lightning/plugins/base_plugin.py
justusschock de8fe1b
fix imports
justusschock 60445ad
Merge branch 'ref/precision_plugins' of github.com:PyTorchLightning/p…
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add tpu bfloat
Co-authored-by: Adrian Wälchli <aedu.waelchli@gmail.com>
commit 1b82554f74d661adfd7356ff7c162811b3775dbf
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# Copyright The PyTorch Lightning team. | ||
# | ||
# Licensed under the Apache License, Version 2.0 (the "License"); | ||
# you may not use this file except in compliance with the License. | ||
# You may obtain a copy of the License at | ||
# | ||
# http://www.apache.org/licenses/LICENSE-2.0 | ||
# | ||
# Unless required by applicable law or agreed to in writing, software | ||
# distributed under the License is distributed on an "AS IS" BASIS, | ||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
# See the License for the specific language governing permissions and | ||
# limitations under the License. | ||
import os | ||
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import torch | ||
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from pytorch_lightning.plugins.precision.precision_plugin import PrecisionPlugin | ||
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class TPUHalfPrecisionPlugin(PrecisionPlugin): | ||
"""Plugin that enables bfloats on TPUs""" | ||
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precision = 16 | ||
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def connect(self, model: torch.nn.Module, optimizers, lr_schedulers): | ||
os.environ["XLA_USE_BF16"] = str(1) | ||
return super().connect(model=model, optimizers=optimizers, lr_schedulers=lr_schedulers) |
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ooo I didn't see this, this is nice :)