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[gemini] improve compatibility and add static placement policy (#4479)

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* [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
This commit is contained in:
Hongxin Liu
2023-08-24 09:29:25 +08:00
committed by GitHub
parent 285fe7ba71
commit 27061426f7
82 changed files with 1008 additions and 4036 deletions
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53
tests/test_zero/test_gemini/test_grad_clip.py
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@@ -8,16 +8,38 @@ import colossalai
from colossalai.amp import convert_to_apex_amp
from colossalai.nn.optimizer import HybridAdam
from colossalai.testing import parameterize, rerun_if_address_is_in_use, spawn
from colossalai.utils.cuda import get_current_device
from colossalai.zero import ColoInitContext, ZeroDDP, ZeroOptimizer
from colossalai.zero.gemini.chunk import ChunkManager, search_chunk_configuration
from colossalai.zero.gemini.gemini_mgr import GeminiManager
from colossalai.zero import GeminiDDP, GeminiOptimizer
from colossalai.zero.gemini.chunk import search_chunk_configuration
from tests.components_to_test import run_fwd_bwd
from tests.components_to_test.registry import non_distributed_component_funcs
from tests.test_tensor.common_utils import set_seed
PLACEMENT_CONFIGS = [
{
'placement_policy': 'static',
'shard_param_frac': 0.0,
'offload_optim_frac': 0.0,
'offload_param_frac': 0.0
}, # zero2
{
'placement_policy': 'static',
'shard_param_frac': 0.0,
'offload_optim_frac': 1.0,
'offload_param_frac': 0.0
}, # zero2-offload
{
'placement_policy': 'static',
'shard_param_frac': 0.0,
'offload_optim_frac': 0.5,
'offload_param_frac': 0.0
}, # zero2-offload-half
{
'placement_policy': 'auto'
}
]
def check_param(model: ZeroDDP, torch_model: torch.nn.Module):
def check_param(model: GeminiDDP, torch_model: torch.nn.Module):
zero_dict = model.state_dict(only_rank_0=False)
torch_dict = torch_model.state_dict()
@@ -30,9 +52,9 @@ def check_param(model: ZeroDDP, torch_model: torch.nn.Module):
assert_close(value, temp_zero_value, rtol=1e-3, atol=4e-3)
@parameterize('placement_policy', ['cuda', 'cpu', 'auto', 'const'])
@parameterize('placement_config', PLACEMENT_CONFIGS)
@parameterize('model_name', ['gpt2'])
def exam_grad_clipping(placement_policy, model_name: str):
def exam_grad_clipping(placement_config, model_name: str):
set_seed(1912)
get_components_func = non_distributed_component_funcs.get_callable(model_name)
model_builder, train_dataloader, test_dataloader, optimizer_class, criterion = get_components_func()
@@ -43,9 +65,7 @@ def exam_grad_clipping(placement_policy, model_name: str):
torch_model, torch_optim = convert_to_apex_amp(torch_model, torch_optim, amp_config)
torch_model = DDP(torch_model, device_ids=[dist.get_rank()])
init_dev = get_current_device()
with ColoInitContext(device=init_dev):
model = model_builder()
model = model_builder()
for torch_p, p in zip(torch_model.parameters(), model.parameters()):
p.data.copy_(torch_p.data)
@@ -54,16 +74,19 @@ def exam_grad_clipping(placement_policy, model_name: str):
config_dict, *_ = search_chunk_configuration(model, search_range_m=1, search_interval=100)
config_dict[world_size]['chunk_size'] = 5000
config_dict[world_size]['keep_gathered'] = False
if placement_policy != 'cuda':
if placement_config['placement_policy'] != 'cuda':
init_device = torch.device('cpu')
else:
init_device = None
chunk_manager = ChunkManager(config_dict, init_device=init_device)
gemini_manager = GeminiManager(placement_policy, chunk_manager)
model = ZeroDDP(model, gemini_manager, pin_memory=True)
model = GeminiDDP(model,
chunk_config_dict=config_dict,
chunk_init_device=init_device,
pin_memory=True,
**placement_config)
optimizer = HybridAdam(model.parameters(), lr=1e-3)
zero_optim = ZeroOptimizer(optimizer, model, initial_scale=32, clipping_norm=1.0)
zero_optim = GeminiOptimizer(optimizer, model, initial_scale=32, clipping_norm=1.0)
model.train()
torch_model.train()