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Qwen 3.5 MoE Metal: Use max-sized prefill example for dynamic inputs #18956

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Qwen 3.5 MoE Metal: Use max-sized prefill example for dynamic inputs #18956

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10 changes: 7 additions & 3 deletions examples/models/qwen3_5_moe/export.py
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Original file line number Diff line number Diff line change
Expand Up @@ -642,10 +642,14 @@ def _export_metal(model, config, args):
print("Decode export successful!")

# --- Prefill method (T>=2, dynamic shape) ---
# Use max-sized example so the serialized numel_bound_ is large enough
# for any runtime input (Metal/AOTI pattern: alloc_graph_input=False
# means numel_bound_ comes from the export example size).
print("Exporting prefill method...")
prefill_tokens = torch.tensor([[0, 1]], dtype=torch.long)
prefill_pos = torch.tensor([0, 1], dtype=torch.long)
seq_dim = Dim("seq_len", min=2, max=config.max_seq_len - 1)
max_prefill = config.max_seq_len - 1
prefill_tokens = torch.zeros((1, max_prefill), dtype=torch.long)
prefill_pos = torch.arange(max_prefill, dtype=torch.long)
seq_dim = Dim("seq_len", min=2, max=max_prefill)
prefill_dynamic_shapes = ({1: seq_dim}, {0: seq_dim})
with torch.no_grad():
prefill_ep = export(
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