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[shardformer] support DDP in HybridPlugin/add tp+dp tests (#4446)

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* support DDP for HybridPlugin/add tp+dp tests

* add docstring for HybridParallelPlugin
This commit is contained in:
Baizhou Zhang
2023-08-16 16:11:57 +08:00
committed by GitHub
parent 424629fea0
commit 6ef33f75aa
10 changed files with 199 additions and 100 deletions
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20
tests/test_shardformer/test_model/test_shard_llama.py
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@@ -16,6 +16,7 @@ from tests.test_shardformer.test_model._utils import (
check_output_hidden_state,
check_weight,
run_forward_backward_with_hybrid_plugin,
unwrap_model,
)
os.environ['TRANSFORMERS_NO_ADVISORY_WARNINGS'] = 'true'
@@ -52,12 +53,8 @@ def check_forward_backward(model_fn, data_gen_fn, output_transform_fn, loss_fn,
check_loss(org_loss, sharded_loss, atol=atol, rtol=rtol)
# unwrap model
if org_model.__class__.__name__ == 'LlamaModel':
llama_model = org_model
shard_llama_model = sharded_model.unwrap()
else:
llama_model = org_model.model
shard_llama_model = sharded_model.unwrap().model
llama_model = unwrap_model(org_model, 'LlamaModel', 'model')
shard_llama_model = unwrap_model(sharded_model, 'LlamaModel', 'model')
# check grad
row_layer_for_check = ['layers[0].self_attn.q_proj', 'embed_tokens']
@@ -128,13 +125,18 @@ def check_forward_backward(model_fn, data_gen_fn, output_transform_fn, loss_fn,
'tp_size': 1,
'pp_size': 4,
'num_microbatches': 4,
'enable_all_optimization': False,
'use_lazy_init': False,
'precision': 'fp32',
'precision': 'fp32'
}, {
'tp_size': 2,
'pp_size': 1,
'enable_all_optimization': True,
'use_lazy_init': False,
'precision': 'fp32'
}])
def run_llama_test(test_config):
# TODO(baizhou): add test_config for TP+DP after supporting & debugging it
sub_model_zoo = model_zoo.get_sub_registry('transformers_llama')
for name, (model_fn, data_gen_fn, output_transform_fn, loss_fn, _) in sub_model_zoo.items():