flame 0.0.1 documentation
  • API Reference
  • flame
    • flame.core
      • flame.core.helpers
        • flame.core.helpers.multiprocessing
        • flame.core.helpers.opencv
        • flame.core.helpers.tqdm
      • flame.core.meters
        • flame.core.meters.base_meter
        • flame.core.meters.naive_average_meter
        • flame.core.meters.tqdm_meter
      • flame.core.archiver
      • flame.core.arguments
      • flame.core.ckcfg
      • flame.core.config
      • flame.core.config_parser
      • flame.core.distributed_launcher
      • flame.core.jsonnet
      • flame.core.logging
      • flame.core.main_fn
      • flame.core.operating_system
      • flame.core.testing
      • flame.core.timing
      • flame.core.zip_importer
    • flame.oneflow
      • flame.oneflow.helpers
        • flame.oneflow.helpers.checkpoint_saver
        • flame.oneflow.helpers.data
        • flame.oneflow.helpers.optimizer
        • flame.oneflow.helpers.rank0
        • flame.oneflow.helpers.tensorboard
      • flame.oneflow.meters
        • flame.oneflow.meters.average_meter
      • flame.oneflow.metrics
        • flame.oneflow.metrics.functional
      • flame.oneflow.trainer
        • flame.oneflow.trainer.progress_meter
        • flame.oneflow.trainer.state
        • flame.oneflow.trainer.state_manager
        • flame.oneflow.trainer.trainer
      • flame.oneflow.arguments
      • flame.oneflow.dist_run
      • flame.oneflow.launcher
      • flame.oneflow.sampler
      • flame.oneflow.typing_prelude
    • flame.pytorch
      • flame.pytorch.helpers
        • flame.pytorch.helpers.amp
        • flame.pytorch.helpers.checkpoint_saver
        • flame.pytorch.helpers.cudnn
        • flame.pytorch.helpers.data
        • flame.pytorch.helpers.model
        • flame.pytorch.helpers.optimizer
        • flame.pytorch.helpers.tensorboard
      • flame.pytorch.meters
        • flame.pytorch.meters.average_meter
        • flame.pytorch.meters.base_meter
        • flame.pytorch.meters.smoothed_value
        • flame.pytorch.meters.time_meter
      • flame.pytorch.metrics
        • flame.pytorch.metrics.base_metric
        • flame.pytorch.metrics.batch_size_metric
        • flame.pytorch.metrics.copy_metric
        • flame.pytorch.metrics.functional
        • flame.pytorch.metrics.loss_metric
        • flame.pytorch.metrics.metric_dict
        • flame.pytorch.metrics.topk_accuracy
      • flame.pytorch.nn
        • flame.pytorch.nn.momentum_bn
      • flame.pytorch.trainer
        • flame.pytorch.trainer.coroutine_scheduler
        • flame.pytorch.trainer.progress_meter
        • flame.pytorch.trainer.state
        • flame.pytorch.trainer.state_manager
        • flame.pytorch.trainer.trainer
      • flame.pytorch.trainer_v2
        • flame.pytorch.trainer_v2.base
        • flame.pytorch.trainer_v2.context
        • flame.pytorch.trainer_v2.expierment
        • flame.pytorch.trainer_v2.trainer
      • flame.pytorch.utils
        • flame.pytorch.utils.attributes
        • flame.pytorch.utils.cudnn
        • flame.pytorch.utils.lr_schduler
        • flame.pytorch.utils.ranking
        • flame.pytorch.utils.spawn
      • flame.pytorch.arguments
      • flame.pytorch.distributed
      • flame.pytorch.engine
      • flame.pytorch.experiment
      • flame.pytorch.launcher
      • flame.pytorch.sampler
      • flame.pytorch.typing_prelude
    • flame.__main__
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  • Module Contents
    • OptimizerFn
    • LrSchedulerFn

flame.pytorch.typing_prelude#

Module Contents#

flame.pytorch.typing_prelude.OptimizerFn#
flame.pytorch.typing_prelude.LrSchedulerFn#

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flame.pytorch.sampler

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flame.__main__

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