Optimize LTX2 feed-forward tensor parallelism (#23221)

This commit is contained in:
Xiaoyu Zhang
2026-04-21 16:29:23 +08:00
committed by GitHub
parent e22dfe8fc2
commit 0d69012ef8
@@ -764,11 +764,15 @@ class LTX2FeedForward(nn.Module):
inner_dim = int(dim * mult)
self.proj_in = ColumnParallelLinear(
dim, inner_dim, bias=True, gather_output=True, quant_config=quant_config
dim, inner_dim, bias=True, gather_output=False, quant_config=quant_config
)
self.act = nn.GELU(approximate="tanh")
self.proj_out = ColumnParallelLinear(
inner_dim, dim_out, bias=True, gather_output=True, quant_config=quant_config
self.proj_out = RowParallelLinear(
inner_dim,
dim_out,
bias=True,
input_is_parallel=True,
quant_config=quant_config,
)
def forward(self, x: torch.Tensor) -> torch.Tensor: