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fix bert unit test

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This commit is contained in:
ver217
2022-03-09 13:38:20 +08:00
committed by Frank Lee
parent 5663616921
commit f5f0ad266e
2 changed files with 13 additions and 15 deletions
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8
tests/test_zero_data_parallel/test_shard_model_v2.py
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@@ -13,6 +13,7 @@ from colossalai.utils import free_port
from colossalai.zero.shard_utils.tensor_shard_strategy import \
TensorShardStrategy
from colossalai.zero.sharded_model import ShardedModelV2
from colossalai.zero.sharded_model._zero3_utils import cast_tensor_to_fp16
from tests.components_to_test.registry import non_distributed_component_funcs
from torch.nn.parallel import DistributedDataParallel as DDP
@@ -45,8 +46,7 @@ def run_fwd_bwd_no_criterion(model, data, label, enable_autocast=False):
def run_dist(rank, world_size, port):
colossalai.launch(config=CONFIG, rank=rank, world_size=world_size, host='localhost', port=port, backend='nccl')
test_models = ['bert']
# repeated_computed_layers resnet18
test_models = ['repeated_computed_layers', 'resnet18', 'bert']
shard_strategy = TensorShardStrategy()
for model_name in test_models:
get_components_func = non_distributed_component_funcs.get_callable(model_name)
@@ -65,8 +65,7 @@ def run_dist(rank, world_size, port):
run_fwd_bwd_no_criterion(model, data, label, False)
run_fwd_bwd_no_criterion(zero_model, data, label, False)
else:
# FIXME() data can be interger!
data, label = data.half().cuda(), label.cuda()
data, label = cast_tensor_to_fp16(data).cuda(), label.cuda()
run_fwd_bwd(model, data, label, criterion, False)
run_fwd_bwd(zero_model, data, label, criterion, False)
@@ -76,7 +75,6 @@ def run_dist(rank, world_size, port):
check_grads(model, zero_model, loose=True)
@pytest.mark.skip(reason="Under development")
@pytest.mark.dist
@pytest.mark.parametrize("world_size", [1, 2, 4])
def test_shard_model_v2(world_size):