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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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19
tests/test_shardformer/test_model/test_shard_bloom.py
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@@ -13,6 +13,7 @@ from tests.test_shardformer.test_model._utils import (
check_output_hidden_state,
check_weight,
run_forward_backward_with_hybrid_plugin,
unwrap_model,
)
@@ -46,12 +47,8 @@ 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__ == 'BloomModel':
bloom = org_model
sharded_bloom = sharded_model.unwrap()
else:
bloom = org_model.transformer
sharded_bloom = sharded_model.unwrap().transformer
bloom = unwrap_model(org_model, 'BloomModel', 'transformer')
sharded_bloom = unwrap_model(sharded_model, 'BloomModel', 'transformer')
# check grad
row_layer_for_check = ['h[0].self_attention.query_key_value', 'word_embeddings']
@@ -97,12 +94,16 @@ def check_forward_backward(model_fn, data_gen_fn, output_transform_fn, loss_fn,
'pp_size': 1,
'enable_all_optimization': True,
'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_bloom_test(test_config):
# TODO(baizhou): add test_config for TP+DP after supporting & debugging it
sub_model_zoo = model_zoo.get_sub_registry('transformers_bloom')
for name, (model_fn, data_gen_fn, output_transform_fn, loss_fn, _) in sub_model_zoo.items():