bugfix for torch library annotation

flashinfer-aot/csrc_aot/flashinfer_ops.cu

@@ -61,10 +61,10 @@ torch::Tensor top_k_renorm_probs(torch::Tensor probs, std::optional<torch::Tenso
 torch::Tensor top_k_mask_logits(torch::Tensor logits, std::optional<torch::Tensor> maybe_top_k_arr,
                                 unsigned int top_k_val);
 
-std::vector<torch::Tensor> chain_speculative_sampling(
+torch::Tensor chain_speculative_sampling(
     torch::Tensor draft_probs, torch::Tensor draft_token_ids, torch::Tensor uniform_samples,
-    torch::Tensor target_probs, std::optional<torch::Tensor> maybe_output_accepted_token_num,
-    std::optional<torch::Tensor> maybe_output_emitted_token_num, bool deterministic);
+    torch::Tensor target_probs, torch::Tensor output_accepted_token_num,
+    torch::Tensor output_emitted_token_num, bool deterministic);
 
 void rmsnorm(torch::Tensor& out, torch::Tensor& input, torch::Tensor& weight, double eps);
 

python/flashinfer/quantization.py

@@ -43,6 +43,15 @@ def get_quantization_module():
 
 
 @register_custom_op("flashinfer::packbits", mutates_args=())
+def _packbits(x: torch.Tensor, bitorder: str) -> torch.Tensor:
+    return get_quantization_module().packbits(x, bitorder)
+
+
+@register_fake_op("flashinfer::packbits")
+def _fake_packbits(x: torch.Tensor, bitorder: str) -> torch.Tensor:
+    return torch.empty((x.size(0) + 7) // 8, dtype=torch.uint8, device=x.device)
+
+
 def packbits(x: torch.Tensor, bitorder: str = "big") -> torch.Tensor:
     r"""Pack the elements of a binary-valued array into bits in a uint8 array.
 
@@ -74,12 +83,7 @@ def packbits(x: torch.Tensor, bitorder: str = "big") -> torch.Tensor:
     --------
     segment_packbits
     """
-    return get_quantization_module().packbits(x, bitorder)
-
-
-@register_fake_op("flashinfer::packbits")
-def _fake_packbits(x: torch.Tensor, bitorder: str = "big") -> torch.Tensor:
-    return torch.empty((x.size(0) + 7) // 8, dtype=torch.uint8, device=x.device)
+    return _packbits(x, bitorder)
 
 
 def segment_packbits(

python/flashinfer/utils.py

@@ -212,7 +212,7 @@ def register_custom_op(
     schema: Optional[str] = None,
 ) -> Callable:
     if TorchVersion(torch_version) < TorchVersion("2.4"):
-        return fn
+        return lambda x: x
     return torch.library.custom_op(
         name, fn, mutates_args=mutates_args, device_types=device_types, schema=schema
     )
@@ -223,5 +223,5 @@ def register_fake_op(
     fn: Optional[Callable] = None,
 ) -> Callable:
     if TorchVersion(torch_version) < TorchVersion("2.4"):
-        return fn
+        return lambda x: x
     return torch.library.register_fake(name, fn)