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

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May 20, 2024
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[FSDP2] set vocab_size=32 to avoid must be divisible by 16 error #264

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[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
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2 changes: 1 addition & 1 deletion test/test_fsdp2/test_fsdp2_eager.py
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Expand Up @@ -57,7 +57,7 @@ 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)
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