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Use explicit C instead of -1 in _merge_tokens view

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Daniel Maddern 2026-08-19 22:29:26 +07:00
parent 834bd96111
commit ece7b2497e
1 changed files with 6 additions and 4 deletions
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src/h3_blackwell_runtime/qwen3vl_vision.py
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@ -674,11 +674,13 @@ class Qwen3VL32BVision(nn.Module):
@staticmethod
def _merge_tokens(x: torch.Tensor, grid_thw: torch.Tensor) -> torch.Tensor:
"""Flatten 2x2 spatial-merge blocks (the reference's pre-merge flatten)."""
t, h, w = (int(v) for v in grid_thw.tolist()[0])
# grid_thw is a 2D long tensor [[t, h, w], ...]; take the first image.
first = grid_thw[0]
t = int(first[0].item())
h = int(first[1].item())
w = int(first[2].item())
merge = 2
if x.ndim != 2 or x.shape[0] != t * h * w:
print(f"[merge_tokens] x.shape={tuple(x.shape)}, grid={(t, h, w)}, expected N={t*h*w}")
return x.view(t, h // merge, merge, w // merge, merge, -1).permute(0, 1, 3, 2, 4, 5).reshape(-1, -1)
return x.view((t, h // merge, merge, w // merge, merge, x.shape[-1])).permute(0, 1, 3, 2, 4, 5).reshape(-1, -1)
def forward(self, flatten_patches: torch.Tensor, grid_thw: torch.Tensor) -> tuple[torch.Tensor, list[torch.Tensor]]:
"""Run the visual tower -> (merged, deepstack)."""