mirror of https://github.com/hpcaitech/ColossalAI
25 lines
1.8 KiB
Python
25 lines
1.8 KiB
Python
from .cuda import empty_cache, get_current_device, set_to_cuda, synchronize
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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 (clip_grad_norm_fp32, conditional_context, copy_tensor_parallel_attributes, count_zeros_fp32,
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ensure_path_exists, free_port, is_dp_rank_0, is_model_parallel_parameter, is_no_pp_or_last_stage,
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is_tp_rank_0, is_using_ddp, is_using_pp, is_using_sequence, multi_tensor_applier,
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param_is_not_tensor_parallel_duplicate, print_rank_0, switch_virtual_pipeline_parallel_rank,
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sync_model_param, disposable)
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from .data_sampler import DataParallelSampler, get_dataloader
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from .gradient_accumulation import accumulate_gradient
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from .memory import report_memory_usage, colo_device_memory_used, colo_set_process_memory_fraction, colo_device_memory_capacity
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from .timer import MultiTimer, Timer
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from .tensor_detector import TensorDetector
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__all__ = [
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'checkpoint', 'free_port', 'print_rank_0', 'sync_model_param', 'is_dp_rank_0', 'is_tp_rank_0',
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'is_no_pp_or_last_stage', 'is_using_ddp', 'is_using_pp', 'is_using_sequence', 'conditional_context',
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'is_model_parallel_parameter', 'clip_grad_norm_fp32', 'count_zeros_fp32', 'copy_tensor_parallel_attributes',
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'param_is_not_tensor_parallel_duplicate', 'get_current_device', 'synchronize', 'empty_cache', 'set_to_cuda',
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'report_memory_usage', 'colo_device_memory_capacity', 'colo_device_memory_used', 'colo_set_process_memory_fraction',
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'Timer', 'MultiTimer', 'multi_tensor_applier', 'accumulate_gradient', 'DataParallelSampler', 'get_dataloader',
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'switch_virtual_pipeline_parallel_rank', 'TensorDetector', 'load_checkpoint', 'save_checkpoint',
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'ensure_path_exists', 'disposable'
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]
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