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[test] add no master test for low level zero plugin (#4934)

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This commit is contained in:
Zhongkai Zhao
2023-10-18 11:41:23 +08:00
committed by GitHub
parent 1f5d2e8062
commit c7aa319ba0
2 changed files with 9 additions and 3 deletions
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9
tests/test_zero/test_low_level/test_zero1_2.py
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@@ -106,7 +106,8 @@ def exam_zero_1_2():
@parameterize("dtype", [torch.float16, torch.bfloat16])
def exam_zero_1_torch_ddp(world_size, dtype: torch.dtype):
@parameterize("master_weights", [True, False])
def exam_zero_1_torch_ddp(world_size, dtype: torch.dtype, master_weights: bool):
"""
In this test, two pairs of model and optimizers are created.
1. zero: use sharded optimizer and fp16 parameters
@@ -131,7 +132,11 @@ def exam_zero_1_torch_ddp(world_size, dtype: torch.dtype):
# in `check_sharded_param_consistency.py`, we will test whether
# level 1 and 2 will produce exactly the same results
zero_optimizer = LowLevelZeroOptimizer(
zero_optimizer, overlap_communication=True, initial_scale=1, reduce_bucket_size=1024 * 1024
zero_optimizer,
overlap_communication=True,
initial_scale=1,
reduce_bucket_size=1024 * 1024,
master_weights=master_weights,
)
torch_optimizer = torch.optim.SGD(torch_model.parameters(), lr=1)