Fix Sphinx

docs/Makefile

@@ -16,5 +16,6 @@ help:
 
 # Catch-all target: route all unknown targets to Sphinx using the new
 # "make mode" option.  $(O) is meant as a shortcut for $(SPHINXOPTS).
+%: export FLASHINFER_BUILDING_DOCS=1
 %: Makefile
 	@$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)

python/flashinfer/prefill.py

@@ -48,9 +48,6 @@
     register_fake_op,
 )
 
-if has_prebuilt_ops:
-    from . import _kernels  # type: ignore[attr-defined]
-
 
 def compile_single_prefill_module(
     *args,
@@ -85,6 +82,8 @@ def get_single_prefill_module(*args):
     if args not in _single_prefill_modules:
         uri = get_single_prefill_uri(*args)
         if has_prebuilt_ops and uri in prebuilt_ops_uri:
+            from . import _kernels
+
             # NOTE(Zihao): we should avoid hard-coded index like this, refactor it later
             mask_mode = args[5]
             run_func = lambda *run_args: _kernels.single_prefill_with_kv_cache(
@@ -157,6 +156,8 @@ def get_batch_prefill_module(*args):
     if args not in _batch_prefill_modules:
         uri = get_batch_prefill_uri(*args)
         if has_prebuilt_ops and uri in prebuilt_ops_uri:
+            from . import _kernels
+
             # NOTE(Zihao): we should avoid hard-coded index like this, refactor it later
             head_dim = args[4]
             plan_func = lambda *plan_args: _kernels.batch_prefill_with_kv_cache_plan(

python/flashinfer/utils.py

@@ -15,13 +15,16 @@
 """
 
 import math
+import os
 from enum import Enum
 from typing import Callable, Dict, Iterable, Optional, Sequence, Tuple, Union
 
 import torch
 from torch.torch_version import TorchVersion
 from torch.torch_version import __version__ as torch_version
 
+IS_BUILDING_DOCS = os.environ.get("FLASHINFER_BUILDING_DOCS") == "1"
+
 
 class PosEncodingMode(Enum):
     NONE = 0
@@ -202,26 +205,46 @@ def _check_cached_qkv_data_type(
         )
 
 
-def register_custom_op(
-    name: str,
-    fn: Optional[Callable] = None,
-    /,
-    *,
-    mutates_args: Union[str, Iterable[str]],
-    device_types: Optional[Union[str, Sequence[str]]] = None,
-    schema: Optional[str] = None,
-) -> Callable:
-    if TorchVersion(torch_version) < TorchVersion("2.4"):
-        return lambda x: x
-    return torch.library.custom_op(
-        name, fn, mutates_args=mutates_args, device_types=device_types, schema=schema
-    )
+if IS_BUILDING_DOCS or TorchVersion(torch_version) < TorchVersion("2.4"):
 
+    def register_custom_op(
+        name: str,
+        fn: Optional[Callable] = None,
+        /,
+        *,
+        mutates_args: Union[str, Iterable[str]],
+        device_types: Optional[Union[str, Sequence[str]]] = None,
+        schema: Optional[str] = None,
+    ) -> Callable:
+        return lambda x: x
 
-def register_fake_op(
-    name: str,
-    fn: Optional[Callable] = None,
-) -> Callable:
-    if TorchVersion(torch_version) < TorchVersion("2.4"):
+    def register_fake_op(
+        name: str,
+        fn: Optional[Callable] = None,
+    ) -> Callable:
         return lambda x: x
-    return torch.library.register_fake(name, fn)
+
+else:
+
+    def register_custom_op(
+        name: str,
+        fn: Optional[Callable] = None,
+        /,
+        *,
+        mutates_args: Union[str, Iterable[str]],
+        device_types: Optional[Union[str, Sequence[str]]] = None,
+        schema: Optional[str] = None,
+    ) -> Callable:
+        return torch.library.custom_op(
+            name,
+            fn,
+            mutates_args=mutates_args,
+            device_types=device_types,
+            schema=schema,
+        )
+
+    def register_fake_op(
+        name: str,
+        fn: Optional[Callable] = None,
+    ) -> Callable:
+        return torch.library.register_fake(name, fn)