Source code for pytorch_lightning.plugins.precision.hpu
# 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.fromtypingimportOptional,Unionfrompytorch_lightning.plugins.precision.precision_pluginimportPrecisionPluginfrompytorch_lightning.utilities.enumsimportPrecisionTypefrompytorch_lightning.utilities.exceptionsimportMisconfigurationExceptionfrompytorch_lightning.utilities.importsimport_HPU_AVAILABLEif_HPU_AVAILABLE:fromhabana_frameworks.torch.hpeximporthmp
[docs]classHPUPrecisionPlugin(PrecisionPlugin):"""Plugin that enables bfloat/half support on HPUs. Args: precision: The precision to use. opt_level: Choose optimization level for hmp. bf16_file_path: Path to bf16 ops list in hmp O1 mode. fp32_file_path: Path to fp32 ops list in hmp O1 mode. verbose: Enable verbose mode for hmp. """def__init__(self,precision:Union[str,int],opt_level:str="O2",bf16_file_path:Optional[str]=None,fp32_file_path:Optional[str]=None,verbose:bool=False,)->None:ifnot_HPU_AVAILABLE:raiseMisconfigurationException("HPU precision plugin requires HPU devices.")supported_precision_values=(16,32,"bf16")ifprecisionnotinsupported_precision_values:raiseValueError(f"`Trainer(accelerator='hpu', precision={precision!r})` is not supported."f" `precision` must be one of: {supported_precision_values}.")super().__init__()self.precision=precisionifprecisionin(PrecisionType.HALF,PrecisionType.BFLOAT):hmp.convert(opt_level=opt_level,bf16_file_path=bf16_file_path,fp32_file_path=fp32_file_path,isVerbose=verbose)
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