Skip to content
This repository was archived by the owner on Aug 7, 2024. It is now read-only.

[FSDP2] set vocab_size=32 to avoid must be divisible by 16 error #264

Merged
merged 2 commits into from
May 20, 2024
Merged

[FSDP2] set vocab_size=32 to avoid must be divisible by 16 error #264

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
cdbf57b
[FSDP2] set `vocab_size=32` to avoid `must be divisible by 16` error
weifengpy May 20, 2024
a73ad63
Update on "[FSDP2] set `vocab_size=32` to avoid `must be divisible by…
weifengpy May 20, 2024
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
7 changes: 6 additions & 1 deletion test/test_fsdp2/test_fsdp2_eager.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -57,7 +57,12 @@ def init_multi_module(self) -> nn.Module:
def init_transformer(self, weight_tying: bool) -> nn.Module:
torch.manual_seed(42)
args = ModelArgs(
n_layers=3, dim=768, n_heads=12, dropout_p=0.0, weight_tying=weight_tying
n_layers=3,
dim=768,
n_heads=12,
dropout_p=0.0,
weight_tying=weight_tying,
vocab_size=32,
)
module = Transformer(args).cuda()
self.broadcast_module(module)
Expand Down
Loading