integrate with dist layer (#4011)

colossalai/shardformer/policies/bert.py

@@ -8,12 +8,6 @@ from ..utils import getattr_, setattr_
 from .basepolicy import ModulePolicyDescription, Policy, SubModuleReplacementDescription
 
 
-class ParallelModule():
-
-    def __init__(self):
-        pass
-
-
 class BertPolicy(Policy):
 
     def preprocess(self, shard_config: ShardConfig = None):
@@ -49,7 +43,27 @@ class BertPolicy(Policy):
                     sub_module_replacement=[
                         SubModuleReplacementDescription(
                             suffix="attention.self.query",
-                            target_module=ParallelModule,
+                            target_module=col_nn.Linear1D_Col,
+                        ),
+                        SubModuleReplacementDescription(
+                            suffix="attention.self.key",
+                            target_module=col_nn.Linear1D_Col,
+                        ),
+                        SubModuleReplacementDescription(
+                            suffix="attention.self.value",
+                            target_module=col_nn.Linear1D_Col,
+                        ),
+                        SubModuleReplacementDescription(
+                            suffix="attention.output.dense",
+                            target_module=col_nn.Linear1D_Row,
+                        ),
+                        SubModuleReplacementDescription(
+                            suffix="intermediate.dense",
+                            target_module=col_nn.Linear1D_Col,
+                        ),
+                        SubModuleReplacementDescription(
+                            suffix="output.dense",
+                            target_module=col_nn.Linear1D_Row,
                         ),
                     ])
         }

colossalai/shardformer/shard/sharder.py

@@ -7,8 +7,8 @@ from transformers.pytorch_utils import Conv1D
 from colossalai.cluster.process_group_manager import ProcessGroupManager
 
 from ..policies.autopolicy import get_autopolicy
-from ..policies.basepolicy import Policy
+from ..policies.basepolicy import Policy, SubModuleReplacementDescription
-from ..utils.utils import setattr_
+from ..utils.utils import getattr_, setattr_
 from .shard_config import ShardConfig
 
 __all__ = ['ModelSharder', 'shard_model']
@@ -90,9 +90,7 @@ class ModelSharder(object):
         Args:
             model (:class:`torch.nn.Module`): The model to shard
         """
-        print(self.policy)
         module_descriptions = self.policy.module_policy(self.shard_config)
-        print(f"*******{module_descriptions}")
         for module_description in module_descriptions.items():
             origin_layer_cls = module_description[0]
             attr_replacement = module_description[1].attribute_replacement
@@ -160,7 +158,7 @@ class ModelSharder(object):
     def _replace_sub_module(
         self,
         org_layer: nn.Module,
-        sub_module_replacement: List[Callable],
+        sub_module_replacement: List[SubModuleReplacementDescription],
     ) -> None:
         r"""
         Shard one layer according to the policy, the layer should be the same class as the key in policy's argument_policy return dict
@@ -177,7 +175,8 @@ class ModelSharder(object):
 
             assert target_module is not None, 'target_module should not be None'
 
-            # TODO: integrate with new layer
+            # TODO: support different parallel mode
-            # replace_layer = target_module.from_native_layer(org_layer, self.pg_manager)
+            native_sub_module = getattr_(org_layer, suffix)
-            replace_layer = None
+            replace_layer = target_module.from_native_module(native_sub_module, self.pg_manager.pg_store['tp1d'])
+
             setattr_(org_layer, suffix, replace_layer)

tests/test_shardformer/test_model/test_shard_bert.py

@@ -17,7 +17,7 @@ from transformers import (
 
 import colossalai
 from colossalai.logging import disable_existing_loggers
-from colossalai.shardformer.shard import ShardConfig, shard_model
+from colossalai.shardformer import ShardConfig, ShardFormer
 from colossalai.testing import rerun_if_address_is_in_use, spawn
 
 os.environ['TRANSFORMERS_NO_ADVISORY_WARNINGS'] = 'true'
@@ -30,16 +30,21 @@ def build_model(rank, world_size, model):
     config.hidden_dropout_prob = 0
     config.attention_probs_dropout_prob = 0
 
-    org_model = model(config=config)
+    org_model = BertForMaskedLM.from_pretrained('bert-base-uncased', config=config)
     org_model_forshard = copy.deepcopy(org_model)
 
-    org_model = org_model.to('cuda')
+    org_model.to('cuda')
-    shardconfig = ShardConfig(
+    # TODO: no need to transfer to cuda
-        rank=rank,
+    org_model_forshard.to('cuda')
-        world_size=world_size,
+    shard_config = ShardConfig(tensor_parallel_size=2,
-        gather_output=True,
+                               data_parallel_size=1,
-    )
+                               pipeline_parallel_size=1,
-    sharded_model = shard_model(org_model_forshard, shardconfig).to('cuda')
+                               tensor_parallel_mode='1d',
+                               inference_only=True,
+                               gather_output=True)
+    shard_former = ShardFormer(shard_config=shard_config)
+    shard_former.init_distributed()
+    sharded_model = shard_former.shard_model(org_model_forshard).to('cuda')
 
     return org_model, sharded_model