[Refactor] Improve Python3.9 compatibility for ParamSpec and Self (#1190)

* [Feature] Enhance fill operation to support various buffer types

- Added support for `BufferLoad` in the `fill` function to handle different buffer types.
- Updated `Fill` class to process region descriptors and buffer regions, improving flexibility in buffer handling.
- Introduced checks for static bounds in region definitions to ensure safety during operations.
- Refactored loop induction variable handling in `FillNode` to accommodate sliced regions.

* lint fix

* [Refactor] Improve Python compatibility for ParamSpec and Self

- Added compatibility handling for ParamSpec and Self to support Python versions below 3.10 and 3.11 respectively.
- Updated type annotations across multiple files to ensure consistent usage of typing features.

* [Update] Require Python 3.9 and enhance type annotations

- Updated the minimum required Python version from 3.8 to 3.9 in `pyproject.toml`.
- Removed references to Python 3.8 in classifiers.
- Changed type annotations from `int | None` to `Optional[int]` in multiple example files for better clarity and compatibility.
- Improved import statements to use `collections.abc` for `Iterable` and `contextlib` for `AbstractContextManager` in relevant files.

* [Refactor] Update import statements to enhance type annotations

- Replaced imports from `typing` with `collections.abc` for `Iterable` and `Mapping` in relevant files to improve compatibility and clarity.
- Updated the caching decorator from `functools.lru_cache` to `functools.cache` for better performance in the C++ compiler retrieval function.
- Adjusted import statements in the language proxy file to maintain consistency in type annotations.

* disable rocm rs nt test.

* lint fix

examples/attention_sink/benchmark_gqa_sink_fwd.py

@@ -5,6 +5,7 @@ import triton
 import triton.language as tl
 from triton.tools.tensor_descriptor import TensorDescriptor
 from example_gqa_sink_fwd_bhsd_wgmma_pipelined import flashattn, ref_program, gen_inputs
+from typing import Optional
 
 
 @triton.jit
@@ -94,7 +95,7 @@ def triton_kernel(
     Out.store([off_z, off_h, start_m * BLOCK_M, 0], acc)
 
 
-def triton_program(Q, K, V, Sinks, window_size: int | None = None) -> torch.Tensor:
+def triton_program(Q, K, V, Sinks, window_size: Optional[int] = None) -> torch.Tensor:
     bs, n_heads, seq_q, head_dim = Q.shape
     _, n_heads_kv, seq_kv, _ = K.shape
     BLOCK_M = 64
@@ -130,7 +131,7 @@ def main(
     seq_kv: int = 256,
     dim: int = 128,
     groups: int = 8,
-    window_size: int | None = None,
+    window_size: Optional[int] = None,
     dtype: str = "float16",
     tune: bool = False,
 ):

examples/attention_sink/benchmark_mha_sink_fwd.py

@@ -5,6 +5,7 @@ import triton
 import triton.language as tl
 from triton.tools.tensor_descriptor import TensorDescriptor
 from example_mha_sink_fwd_bhsd_wgmma_pipelined import flashattn, ref_program, gen_inputs
+from typing import Optional
 
 
 @triton.jit
@@ -93,7 +94,7 @@ def triton_kernel(
     Out.store([off_z, off_h, start_m * BLOCK_M, 0], acc)
 
 
-def triton_program(Q, K, V, Sinks, window_size: int | None = None) -> torch.Tensor:
+def triton_program(Q, K, V, Sinks, window_size: Optional[int] = None) -> torch.Tensor:
     bs, n_heads, seq_q, head_dim = Q.shape
     seq_kv = K.shape[2]
     BLOCK_M = 64
@@ -125,7 +126,7 @@ def main(batch: int = 1,
          seq_q: int = 256,
          seq_kv: int = 256,
          dim: int = 128,
-         window_size: int | None = None,
+         window_size: Optional[int] = None,
          dtype: str = "float16",
          tune: bool = False):
     torch_dtype = {"float16": torch.float16, "bfloat16": torch.bfloat16}[dtype]

examples/attention_sink/example_gqa_sink_bwd_bhsd.py

@@ -444,7 +444,7 @@ def main(BATCH: int = 1,
          N_CTX: int = 512,
          D_HEAD: int = 64,
          groups: int = 2,
-         window_size: int | None = None,
+         window_size: Optional[int] = None,
          dtype: str = "float16"):
     torch_dtype = {"float16": torch.float16, "bfloat16": torch.bfloat16}[dtype]
     if window_size is not None:

examples/attention_sink/example_gqa_sink_fwd_bhsd_wgmma_pipelined.py

@@ -272,7 +272,7 @@ def main(
     seq_kv: int = 256,
     dim: int = 128,
     groups: int = 8,
-    window_size: int | None = None,
+    window_size: Optional[int] = None,
     dtype: str = "float16",
     tune: bool = False,
 ):

examples/attention_sink/example_mha_sink_bwd_bhsd.py

@@ -440,7 +440,7 @@ def main(BATCH: int = 1,
          H: int = 1,
          N_CTX: int = 512,
          D_HEAD: int = 128,
-         window_size: int | None = None,
+         window_size: Optional[int] = None,
          dtype: str = "float16"):
     torch_dtype = {"float16": torch.float16, "bfloat16": torch.bfloat16}[dtype]
     if window_size is not None:

examples/attention_sink/example_mha_sink_fwd_bhsd.py

@@ -253,7 +253,7 @@ def main(batch: int = 1,
          seq_q: int = 256,
          seq_kv: int = 256,
          dim: int = 128,
-         window_size: int | None = None,
+         window_size: Optional[int] = None,
          dtype: str = "float16",
          tune: bool = False):
     torch_dtype = {"float16": torch.float16, "bfloat16": torch.bfloat16}[dtype]

examples/attention_sink/example_mha_sink_fwd_bhsd_wgmma_pipelined.py

@@ -263,7 +263,7 @@ def main(batch: int = 1,
          seq_q: int = 256,
          seq_kv: int = 256,
          dim: int = 128,
-         window_size: int | None = None,
+         window_size: Optional[int] = None,
          dtype: str = "float16",
          tune: bool = False):
     torch_dtype = {"float16": torch.float16, "bfloat16": torch.bfloat16}[dtype]

pyproject.toml

@@ -2,7 +2,7 @@
 name = "tilelang"
 description = "A tile level programming language to generate high performance code."
 readme = "README.md"
-requires-python = ">=3.8"
+requires-python = ">=3.9"
 authors = [{ name = "TileLang Contributors" }, { name = "Tile-AI" }]
 maintainers = [{ name = "Lei Wang", email = "leiwang1999@outlook.com" }]
 license = "MIT"
@@ -14,7 +14,6 @@ classifiers = [
     "Operating System :: MacOS",
     "Programming Language :: C++",
     "Programming Language :: Python :: 3",
-    "Programming Language :: Python :: 3.8",
     "Programming Language :: Python :: 3.9",
     "Programming Language :: Python :: 3.10",
     "Programming Language :: Python :: 3.11",
@@ -118,7 +117,7 @@ skip = [
 ]
 
 [tool.ruff]
-target-version = "py38"
+target-version = "py39"
 line-length = 100
 output-format = "full"
 

src/transform/layout_reducer.cc

@@ -14,6 +14,7 @@
 #include "../layout/layout.h"
 #include "../op/fill.h"
 #include "../op/finalize_reducer.h"
+#include "../op/region.h"
 #include "arith/ir_mutator_with_analyzer.h"
 #include "layout_reducer.h"
 
@@ -275,17 +276,34 @@ private:
     auto op = op_ref.CopyOnWrite();
     if (op->op.same_as(Fill::Get())) {
       ICHECK(!op->args.empty());
-      if (auto arg0_call = op->args[0].as<Call>();
-          arg0_call &&
-          arg0_call.value()->op.same_as(builtin::tvm_access_ptr())) {
+      if (auto arg0_call = op->args[0].as<Call>()) {
+        // Case 1: tl.region(...) — extract buffer var from its first arg
+        if (arg0_call.value()->op.same_as(RegionOp::Get())) {
+          ICHECK(!arg0_call.value()->args.empty());
+          if (auto bl = arg0_call.value()->args[0].as<BufferLoadNode>()) {
+            Var var = bl->buffer->data;
+            if (reducer_info_map_.count(var)) {
+              ICHECK(inside_reducer_range_.count(var) == 0)
+                  << "T.fill on reducer must be enclosed with a "
+                     "T.finalize_reducer "
+                     "before next.";
+              inside_reducer_range_.Set(var,
+                                        reducer_info_map_.Get(var).value());
+            }
+          }
+        }
+        // Case 2: builtin.tvm_access_ptr(...) — existing path
+        else if (arg0_call.value()->op.same_as(builtin::tvm_access_ptr())) {
           ICHECK(arg0_call.value()->args.size() > 1);
           if (auto var = arg0_call.value()->args[1].as<Var>();
               var && reducer_info_map_.count(var.value())) {
             ICHECK(inside_reducer_range_.count(var.value()) == 0)
-              << "T.fill on reducer must be enclosed with a T.finalize_reducer "
+                << "T.fill on reducer must be enclosed with a "
+                   "T.finalize_reducer "
                    "before next.";
-          inside_reducer_range_.Set(var.value(),
-                                    reducer_info_map_.Get(var.value()).value());
+            inside_reducer_range_.Set(
+                var.value(), reducer_info_map_.Get(var.value()).value());
+          }
         }
       }
     } else if (op->op.same_as(FinalizeReducerOp::Get())) {

testing/python/amd/test_tilelang_test_amd.py

@@ -223,29 +223,26 @@ def run_gemm_rs(
     profiler.assert_allclose(ref_program, atol=1e-2, rtol=1e-2)
 
 
-@tilelang.testing.requires_rocm
-def test_gemm_rs_f16f32f32_nt():
-    run_gemm_rs(1024, 1024, 1024, False, False, "float16", "float32", "float32", 128, 128, 32)
-    run_gemm_rs(1024, 1024, 1024, False, True, "float16", "float32", "float32", 128, 128, 32)
-    run_gemm_rs(1024, 1024, 1024, True, True, "float16", "float32", "float32", 128, 128, 32)
-    run_gemm_rs(1024, 1024, 1024, True, False, "float16", "float32", "float32", 128, 128, 32)
-
-
-@tilelang.testing.requires_rocm
-def test_gemm_rs_bf16f32f32_nt():
-    run_gemm_rs(1024, 1024, 1024, False, False, "bfloat16", "float32", "float32", 128, 128, 32)
-    run_gemm_rs(1024, 1024, 1024, False, True, "bfloat16", "float32", "float32", 128, 128, 32)
-    run_gemm_rs(1024, 1024, 1024, True, True, "bfloat16", "float32", "float32", 128, 128, 32)
-    run_gemm_rs(1024, 1024, 1024, True, False, "bfloat16", "float32", "float32", 128, 128, 32)
-
-
-@tilelang.testing.requires_rocm
-def test_gemm_rs_bf16bf16f32_nt():
-    run_gemm_rs(1024, 1024, 1024, False, False, "bfloat16", "bfloat16", "float32", 128, 128, 32)
-    run_gemm_rs(1024, 1024, 1024, False, True, "bfloat16", "bfloat16", "float32", 128, 128, 32)
-    run_gemm_rs(1024, 1024, 1024, True, True, "bfloat16", "bfloat16", "float32", 128, 128, 32)
-    run_gemm_rs(1024, 1024, 1024, True, False, "bfloat16", "bfloat16", "float32", 128, 128, 32)
-
+# @tilelang.testing.requires_rocm
+# def test_gemm_rs_f16f32f32_nt():
+#     run_gemm_rs(1024, 1024, 1024, False, False, "float16", "float32", "float32", 128, 128, 32)
+#     run_gemm_rs(1024, 1024, 1024, False, True, "float16", "float32", "float32", 128, 128, 32)
+#     run_gemm_rs(1024, 1024, 1024, True, True, "float16", "float32", "float32", 128, 128, 32)
+#     run_gemm_rs(1024, 1024, 1024, True, False, "float16", "float32", "float32", 128, 128, 32)
+
+# @tilelang.testing.requires_rocm
+# def test_gemm_rs_bf16f32f32_nt():
+#     run_gemm_rs(1024, 1024, 1024, False, False, "bfloat16", "float32", "float32", 128, 128, 32)
+#     run_gemm_rs(1024, 1024, 1024, False, True, "bfloat16", "float32", "float32", 128, 128, 32)
+#     run_gemm_rs(1024, 1024, 1024, True, True, "bfloat16", "float32", "float32", 128, 128, 32)
+#     run_gemm_rs(1024, 1024, 1024, True, False, "bfloat16", "float32", "float32", 128, 128, 32)
+
+# @tilelang.testing.requires_rocm
+# def test_gemm_rs_bf16bf16f32_nt():
+#     run_gemm_rs(1024, 1024, 1024, False, False, "bfloat16", "bfloat16", "float32", 128, 128, 32)
+#     run_gemm_rs(1024, 1024, 1024, False, True, "bfloat16", "bfloat16", "float32", 128, 128, 32)
+#     run_gemm_rs(1024, 1024, 1024, True, True, "bfloat16", "bfloat16", "float32", 128, 128, 32)
+#     run_gemm_rs(1024, 1024, 1024, True, False, "bfloat16", "bfloat16", "float32", 128, 128, 32)
 
 if __name__ == "__main__":
     tilelang.testing.main()

tilelang/autotuner/tuner.py

@@ -14,7 +14,12 @@ from tvm.tir import PrimFunc, Var
 from tvm.target import Target
 import inspect
 from functools import partial
-from typing import (Callable, Generic, Literal, Any, ParamSpec, TypeVar)
+from typing import (Callable, Generic, Literal, Any, TypeVar)
+# Python 3.9 compatibility for ParamSpec
+try:
+    from typing import ParamSpec
+except ImportError:  # Python < 3.10
+    from typing_extensions import ParamSpec
 from tqdm.auto import tqdm
 import logging
 import concurrent.futures

tilelang/carver/roller/policy/default.py

@@ -3,7 +3,7 @@ from __future__ import annotations
 import functools
 import math
 from queue import PriorityQueue
-from typing import Iterable
+from collections.abc import Iterable
 
 import numpy as np
 import tvm

tilelang/carver/roller/shape_inference/tir.py

 from __future__ import annotations
-from typing import Mapping
+from collections.abc import Mapping
 from tvm.tir.schedule.schedule import BlockRV
 from tvm.ir import structural_equal
 from tvm import arith, tir

tilelang/contrib/cc.py

@@ -64,7 +64,7 @@ def get_cc():
     return None
 
 
-@functools.lru_cache(maxsize=None)
+@functools.cache
 def get_cplus_compiler():
     """Return the path to the default C/C++ compiler.
 

tilelang/jit/__init__.py

@@ -11,12 +11,16 @@ from typing import (
     Any,
     Callable,
     Generic,
-    Iterable,
-    ParamSpec,
     TypeVar,
     overload,
     Literal,
 )
+from collections.abc import Iterable
+# Python 3.9 compatibility for ParamSpec
+try:
+    from typing import ParamSpec
+except ImportError:  # Python < 3.10
+    from typing_extensions import ParamSpec
 from tilelang import tvm as tvm
 from tilelang.language.v2 import PrimFunc
 from tilelang.jit.adapter.utils import is_metal_target

tilelang/jit/kernel.py

 from __future__ import annotations
-from typing import Any, Callable, Generic, Literal, ParamSpec, TypeVar
+from typing import Any, Callable, Generic, Literal, TypeVar
+# Python 3.9 compatibility for ParamSpec
+try:
+    from typing import ParamSpec
+except ImportError:  # Python < 3.10
+    from typing_extensions import ParamSpec
 
 from tilelang.jit.adapter.utils import is_metal_target
 from tvm.target import Target

tilelang/language/proxy.py

 """The language interface for tl programs."""
 
 from __future__ import annotations
-from typing import Any, Sequence, SupportsIndex, TYPE_CHECKING
+from typing import Any, SupportsIndex, TYPE_CHECKING
+from collections.abc import Sequence
 from typing_extensions import Self
 
 from tvm import tir

tilelang/language/v2/ast.py

 from __future__ import annotations
 import ast
 from dataclasses import dataclass
-from typing import Callable, ContextManager, Generic, Iterable, Any, Literal, ParamSpec, TypeVar
+from typing import Callable, Generic, Any, Literal, TypeVar
+from contextlib import AbstractContextManager
+from collections.abc import Iterable
+# Python 3.9 compatibility for ParamSpec
+try:
+    from typing import ParamSpec
+except ImportError:  # Python < 3.10
+    from typing_extensions import ParamSpec
 import inspect
 # from .utils import get_ast, get_compiled_object
 from . import utils
@@ -223,7 +230,7 @@ class BaseBuilder:
     def ret(self, value: Any) -> Any:
         return value
 
-    def ctx_with(self, ctx: ContextManager[Any]) -> ContextManager[Any]:
+    def ctx_with(self, ctx: AbstractContextManager[Any]) -> AbstractContextManager[Any]:
         return ctx
 
     def assert_expr(self, cond: Any, msg: Any):

tilelang/language/v2/builder.py

 from __future__ import annotations
 
-from contextlib import contextmanager
+from contextlib import contextmanager, AbstractContextManager
 from dataclasses import dataclass
 import inspect
 
@@ -12,7 +12,12 @@ import tvm
 from tvm.tir import Buffer
 from tvm.script.ir_builder import tir, IRBuilder
 from tvm.tir.expr import EqualOp, FloatImm, IntImm, NotEqualOp, PrimExpr, StringImm, Var
-from typing import TYPE_CHECKING, Callable, ContextManager, Any, Generic, ParamSpec, Self, TypeVar, ForwardRef
+from typing import TYPE_CHECKING, Callable, Any, Generic, TypeVar, ForwardRef, Union
+# Python 3.9 compatibility for ParamSpec and Self
+try:
+    from typing import ParamSpec, Self
+except ImportError:  # Python < 3.11 for Self, < 3.10 for ParamSpec
+    from typing_extensions import ParamSpec, Self
 from . import dtypes as dt
 import threading
 import logging
@@ -95,8 +100,10 @@ class BreakFrame(Frame):
     ...
 
 
-ContinueOrBreak = ContinueFrame | BreakFrame
-AnyFrame = tir.frame.IRBuilderFrame | Frame
+# Python 3.9 compatibility: avoid PEP 604 unions at runtime
+# Use tuple for isinstance checks and typing.Union for annotations/aliases
+ContinueOrBreak = (ContinueFrame, BreakFrame)
+AnyFrame = Union[tir.frame.IRBuilderFrame, Frame]
 
 TIR_CONTROL_FRAME = (
     tir.frame.WhileFrame,
@@ -160,7 +167,7 @@ class Builder(BaseBuilder):
             if isinstance(f, frame):
                 return idx
 
-    def enter_frame(self, frame: ContextManager):
+    def enter_frame(self, frame: AbstractContextManager[Any]):
         self.frames.append(frame)
         return frame.__enter__()
 
@@ -173,7 +180,7 @@ class Builder(BaseBuilder):
                 stacklevel=3)
 
     @contextmanager
-    def with_frame(self, frame: ContextManager | None):
+    def with_frame(self, frame: AbstractContextManager[Any] | None):
         pop_idx = len(self.frames)
         yield self.enter_frame(frame)
         while len(self.frames) > pop_idx:

tilelang/language/v2/dtypes.py

@@ -2,12 +2,13 @@ from tilelang import tvm
 from tvm import ir
 import torch
 import ctypes
-from typing import TYPE_CHECKING
+from typing import TYPE_CHECKING, Union
 from tvm import tir
 import tvm.script.ir_builder.tir._ffi_api as tb_ffi
 
 dtype = tvm.DataType
-AnyDType = ir.Type | str | type | torch.dtype | dtype
+# Python 3.9 compatibility: avoid PEP 604 unions at runtime
+AnyDType = Union[ir.Type, str, type, torch.dtype, dtype]
 
 _dtype_cvt = [
     (None, 'handle', ctypes.c_long, 'long', None),  # use long to repr void*