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from .activation_checkpoint import checkpoint
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from .checkpointing import load_checkpoint, save_checkpoint
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from .common import (
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clip_grad_norm_fp32,
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conditional_context,
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copy_tensor_parallel_attributes,
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count_zeros_fp32,
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disposable,
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ensure_path_exists,
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is_ddp_ignored,
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is_dp_rank_0,
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is_model_parallel_parameter,
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is_no_pp_or_last_stage,
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is_tp_rank_0,
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is_using_ddp,
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is_using_pp,
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is_using_sequence,
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multi_tensor_applier,
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param_is_not_tensor_parallel_duplicate,
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print_rank_0,
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switch_virtual_pipeline_parallel_rank,
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sync_model_param,
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)
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from .cuda import empty_cache, get_current_device, set_to_cuda, synchronize
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from .data_sampler import DataParallelSampler, get_dataloader
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from .memory import (
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colo_device_memory_capacity,
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colo_device_memory_used,
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colo_get_cpu_memory_capacity,
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colo_set_cpu_memory_capacity,
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colo_set_process_memory_fraction,
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report_memory_usage,
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)
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from .tensor_detector import TensorDetector
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from .timer import MultiTimer, Timer
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__all__ = [
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'checkpoint',
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'print_rank_0',
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'sync_model_param',
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'is_ddp_ignored',
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'is_dp_rank_0',
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'is_tp_rank_0',
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'is_no_pp_or_last_stage',
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'is_using_ddp',
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'is_using_pp',
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'is_using_sequence',
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'conditional_context',
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'is_model_parallel_parameter',
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'clip_grad_norm_fp32',
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'count_zeros_fp32',
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'copy_tensor_parallel_attributes',
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'param_is_not_tensor_parallel_duplicate',
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'get_current_device',
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'synchronize',
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'empty_cache',
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'set_to_cuda',
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'report_memory_usage',
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'colo_device_memory_capacity',
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'colo_device_memory_used',
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'colo_set_process_memory_fraction',
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'Timer',
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'MultiTimer',
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'multi_tensor_applier',
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'DataParallelSampler',
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'get_dataloader',
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'switch_virtual_pipeline_parallel_rank',
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'TensorDetector',
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'load_checkpoint',
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'save_checkpoint',
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'ensure_path_exists',
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'disposable',
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'colo_set_cpu_memory_capacity',
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'colo_get_cpu_memory_capacity',
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]
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