mirror of https://github.com/hpcaitech/ColossalAI
[Gemini] remove not used MemtracerWrapper (#2072)
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@ -1,39 +0,0 @@
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from colossalai.gemini.ophooks import register_ophooks_recursively
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from colossalai.gemini.ophooks.mem_trace_hook import MemTracerOpHook
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__all__ = ['MemtracerWrapper']
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class _Wrapper():
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def __init__(self, model, ophook_list):
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self._ophook_list = ophook_list
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self._model = model
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def __call__(self, *args, **kwargs):
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return self._model(*args, **kwargs)
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def forward(self, *args, **kwargs):
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return self._model.forward(*args, **kwargs)
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def backward(self, loss):
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loss.backward()
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for ophook in self._ophook_list:
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ophook.post_iter()
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def save_results(self, filename):
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for ophook in self._ophook_list:
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ophook.save_results(filename)
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def show_mem_stats(self):
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self._ophook_list[0].show_mem_stats()
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def named_buffers(self):
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return self._model.named_buffers()
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def MemtracerWrapper(model):
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ophook_list = [MemTracerOpHook()]
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register_ophooks_recursively(model, ophook_list)
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engine = _Wrapper(model, ophook_list)
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return engine
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@ -1,51 +0,0 @@
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from functools import partial
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import pytest
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import torch
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import torch.multiprocessing as mp
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import colossalai
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from colossalai.gemini.memory_tracer import MemtracerWrapper
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from colossalai.testing import rerun_if_address_is_in_use
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from colossalai.utils import free_port
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from tests.components_to_test import run_fwd_bwd
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from tests.components_to_test.registry import non_distributed_component_funcs
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def run_tracer(rank, world_size, port, use_grad_check=True):
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colossalai.launch(config={}, rank=rank, world_size=world_size, host='localhost', port=port, backend='nccl')
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test_models = ['repeated_computed_layers', 'resnet18', 'hanging_param_model', 'bert']
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# test_models = ['bert']
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for model_name in test_models:
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get_components_func = non_distributed_component_funcs.get_callable(model_name)
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model_builder, train_dataloader, _, _, criterion = get_components_func()
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# init model on cpu
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# TODO() memtrace hook can not handle buff registered on a non-leaf module (for example the BertEmbedding).
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# a simple method is that always puts buff on cuda and viewed them as non-model data.
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model = MemtracerWrapper(model_builder(checkpoint=use_grad_check))
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for n, buff in model.named_buffers():
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buff.data = buff.data.cuda()
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for i, (data, label) in enumerate(train_dataloader):
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if i > 1:
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break
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data = data.cuda()
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label = label.cuda()
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run_fwd_bwd(model, data, label, criterion)
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model._ophook_list[0].print_non_model_data()
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@pytest.mark.dist
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@pytest.mark.parametrize("world_size", [1])
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@pytest.mark.parametrize("use_grad_check", [True, False])
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@rerun_if_address_is_in_use()
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def test_tracer(world_size, use_grad_check):
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run_func = partial(run_tracer, world_size=world_size, port=free_port(), use_grad_check=use_grad_check)
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mp.spawn(run_func, nprocs=world_size)
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if __name__ == '__main__':
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test_tracer(1, True)
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