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https://github.com/hpcaitech/ColossalAI.git
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[gemini] improve compatibility and add static placement policy (#4479)
* [gemini] remove distributed-related part from colotensor (#4379) * [gemini] remove process group dependency * [gemini] remove tp part from colo tensor * [gemini] patch inplace op * [gemini] fix param op hook and update tests * [test] remove useless tests * [test] remove useless tests * [misc] fix requirements * [test] fix model zoo * [test] fix model zoo * [test] fix model zoo * [test] fix model zoo * [test] fix model zoo * [misc] update requirements * [gemini] refactor gemini optimizer and gemini ddp (#4398) * [gemini] update optimizer interface * [gemini] renaming gemini optimizer * [gemini] refactor gemini ddp class * [example] update gemini related example * [example] update gemini related example * [plugin] fix gemini plugin args * [test] update gemini ckpt tests * [gemini] fix checkpoint io * [example] fix opt example requirements * [example] fix opt example * [example] fix opt example * [example] fix opt example * [gemini] add static placement policy (#4443) * [gemini] add static placement policy * [gemini] fix param offload * [test] update gemini tests * [plugin] update gemini plugin * [plugin] update gemini plugin docstr * [misc] fix flash attn requirement * [test] fix gemini checkpoint io test * [example] update resnet example result (#4457) * [example] update bert example result (#4458) * [doc] update gemini doc (#4468) * [example] update gemini related examples (#4473) * [example] update gpt example * [example] update dreambooth example * [example] update vit * [example] update opt * [example] update palm * [example] update vit and opt benchmark * [hotfix] fix bert in model zoo (#4480) * [hotfix] fix bert in model zoo * [test] remove chatglm gemini test * [test] remove sam gemini test * [test] remove vit gemini test * [hotfix] fix opt tutorial example (#4497) * [hotfix] fix opt tutorial example * [hotfix] fix opt tutorial example
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@@ -1,12 +1,11 @@
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import pytest
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import torch
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import torch.distributed as dist
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import colossalai
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from colossalai.tensor import ProcessGroup
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from colossalai.testing import parameterize, rerun_if_address_is_in_use, spawn
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from colossalai.zero import ColoInitContext, ZeroDDP
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from colossalai.zero.gemini.chunk import ChunkManager, search_chunk_configuration
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from colossalai.zero.gemini.gemini_mgr import GeminiManager
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from colossalai.zero import GeminiDDP
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from colossalai.zero.gemini.chunk import search_chunk_configuration
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from colossalai.zero.gemini.memory_tracer.runtime_mem_tracer import RuntimeMemTracer
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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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@@ -24,8 +23,7 @@ def run_gemini_use_rmt(placement_policy, keep_gather, model_name: str, use_grad_
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get_components_func = non_distributed_component_funcs.get_callable(model_name)
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model_builder, train_dataloader, test_dataloader, optimizer_class, criterion = get_components_func()
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with ColoInitContext(device='cpu'):
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model = model_builder(use_grad_checkpoint)
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model = model_builder(use_grad_checkpoint).cuda()
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print(f'model_name {model_name}')
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runtime_mem_tracer = RuntimeMemTracer(model)
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@@ -59,12 +57,13 @@ def run_gemini_use_rmt(placement_policy, keep_gather, model_name: str, use_grad_
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config_dict, *_ = search_chunk_configuration(model, search_range_m=1, search_interval=100)
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config_dict[world_size]['chunk_size'] = 5000
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config_dict[world_size]['keep_gathered'] = keep_gather
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chunk_manager = ChunkManager(config_dict)
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gemini_manager = GeminiManager(placement_policy, chunk_manager, memstats)
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model = ZeroDDP(model, gemini_manager, pin_memory=True)
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model = GeminiDDP(model,
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chunk_config_dict=config_dict,
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placement_policy=placement_policy,
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pin_memory=True,
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memstats=memstats)
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pg = ProcessGroup()
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set_seed(pg.dp_local_rank())
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set_seed(dist.get_rank())
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for i, (input_ids, label) in enumerate(train_dataloader):
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# you can only test a single fwd + bwd.
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# after bwd param is grad for Gemini, due to the chunk reuse optimization.
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@@ -76,7 +75,7 @@ def run_gemini_use_rmt(placement_policy, keep_gather, model_name: str, use_grad_
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set_seed(42)
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loss = run_fwd_bwd(model, input_ids, label, criterion, model)
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gemini_non_model_data = gemini_manager._mem_stats_collector._memstats.non_model_data_list('cuda')
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gemini_non_model_data = model.gemini_manager._mem_stats_collector._memstats.non_model_data_list('cuda')
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# print('gemini non model data:', gemini_non_model_data)
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@@ -90,6 +89,7 @@ def run_dist(rank, world_size, port):
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run_gemini_use_rmt()
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@pytest.mark.skip("this is not used")
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@pytest.mark.dist
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@pytest.mark.parametrize('world_size', [1, 4])
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@rerun_if_address_is_in_use()
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