[hotfix] test model unittest hotfix (#1281)

pull/1282/head
Jiarui Fang 2022-07-12 23:45:29 +08:00 committed by GitHub
parent e56731e916
commit 79fe7b027a
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1 changed files with 9 additions and 8 deletions

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@ -12,7 +12,7 @@ from colossalai.utils.cuda import get_current_device
from colossalai.utils import free_port
from colossalai.utils.model.colo_init_context import ColoInitContext
from colossalai.tensor import ShardSpec, ColoTensorSpec, ComputePattern, \
ComputeSpec, ColoTensor, DistSpecManager, ProcessGroup
ComputeSpec, ColoTensor, DistSpecManager, ProcessGroup, ReplicaSpec
from colossalai.nn.optimizer import ColoOptimizer
from tests.components_to_test.registry import non_distributed_component_funcs
@ -76,22 +76,23 @@ def run_1d_hybrid_tp(model_name):
for name, p in model.named_parameters():
if not isinstance(p, ColoTensor):
continue
# print(name)
# num_class = type_vocab_size = 2 | (8, 2)
# TODO(jiaruifang) has bug if open the following 2 comments
if 'classifier' in name and 'weight' in name:
init_1d_row_linear(p, pg)
# num_class = vocab_size = 30524 | (30524, 8)
if 'word_embeddings' in name and 'weight' in name:
elif 'word_embeddings' in name and 'weight' in name:
init_1d_row_embedding(p, pg)
# num_class = seq_len = 512 | (512, 8)
if 'position_embeddings' in name and 'weight' in name:
elif 'position_embeddings' in name and 'weight' in name:
init_1d_row_embedding(p, pg)
# num_class = type_vocab_size = 2 | (2, 8)
if 'token_type_embeddings' in name and 'weight' in name:
elif 'token_type_embeddings' in name and 'weight' in name:
init_1d_col_embedding(p, pg)
if p.process_group.tp_world_size() == 1:
p.set_process_group(pg)
elif p.process_group.tp_world_size() == 1:
with DistSpecManager.no_grad():
p.redistribute(ReplicaSpec(), pg)
elif "simple_net" == model_name:
# A naive way to set spec for all weights in Linear
for name, p in model.named_parameters():