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[shardformer] support module saving and loading (#4062)

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* [shardformer] support module saving and loading

* polish code
This commit is contained in:
Frank Lee
2023-06-22 11:42:11 +08:00
parent 7740c55c55
commit 8eb09a4c69
19 changed files with 493 additions and 102 deletions
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12
tests/test_shardformer/test_layer/test_linear_1d.py
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@@ -5,6 +5,7 @@ from torch.testing import assert_close
import colossalai
from colossalai.shardformer.layer import Linear1D_Col, Linear1D_Row
from colossalai.tensor.d_tensor import is_distributed_tensor
from colossalai.testing import rerun_if_address_is_in_use, spawn
@@ -12,9 +13,18 @@ def check_linear_1d_col():
linear = nn.Linear(32, 128).cuda()
linear_col = Linear1D_Col.from_native_module(linear, process_group=None, gather_output=True)
# ensure that the parameters are distributed
assert is_distributed_tensor(linear_col.weight)
assert is_distributed_tensor(linear_col.bias)
# ensure the shape is correct
assert linear_col.weight.shape == torch.Size([64, 32])
assert linear_col.bias.shape == torch.Size([64])
# ensure state dict is reversibly loadable
linear.load_state_dict(linear_col.state_dict())
linear_col.load_state_dict(linear.state_dict())
# check computation correctness
x = torch.rand(4, 32).cuda()
out = linear(x)
@@ -55,7 +65,7 @@ def check_linear_1d_row():
def run_dist(rank, world_size, port):
colossalai.launch(config={}, rank=rank, world_size=world_size, host='localhost', port=port, backend='nccl')
check_linear_1d_col()
check_linear_1d_row()
# check_linear_1d_row()
@rerun_if_address_is_in_use()