makslevental

diff --git a/mlir/include/mlir/Bindings/Python/NanobindAdaptors.h b/mlir/include/mlir/Bindings/Python/NanobindAdaptors.h
index 2dd35c097c796..8dcf91e5806bd 100644
--- a/mlir/include/mlir/Bindings/Python/NanobindAdaptors.h
+++ b/mlir/include/mlir/Bindings/Python/NanobindAdaptors.h
@@ -20,6 +20,7 @@
 #define MLIR_BINDINGS_PYTHON_NANOBINDADAPTORS_H
 
 #include <cstdint>
+#include <optional>
 

makslevental

Index: mlir/include/mlir/Bindings/Python/NanobindAdaptors.h
IDEA additional info:
Subsystem: com.intellij.openapi.diff.impl.patch.CharsetEP
<+>UTF-8
===================================================================
diff --git a/mlir/include/mlir/Bindings/Python/NanobindAdaptors.h b/mlir/include/mlir/Bindings/Python/NanobindAdaptors.h
--- a/mlir/include/mlir/Bindings/Python/NanobindAdaptors.h	(revision 468275dc491e88d68def668f1a23cde9ba952e5e)
+++ b/mlir/include/mlir/Bindings/Python/NanobindAdaptors.h	(date 1752159288603)
@@ -43,18 +43,14 @@
 /// with a raw handle (unowned). The returned object's lifetime may not extend

makslevental

# Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
# Copyright (c) 2025.

[project]
name = "mlir-python-bindings"
version = "0.0.1"
requires-python = ">=3.8,<=3.13"
[project.urls]

makslevental

//===--- ItaniumMangle.cpp - Itanium C++ Name Mangling ----------*- C++ -*-===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
//
// Implements C++ name mangling according to the Itanium C++ ABI,
// which is used in GCC 3.2 and newer (and many compilers that are

makslevental

import re
import time
from collections import defaultdict
from pprint import pprint

import hdbscan
import leetcode
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.preprocessing import normalize

makslevental

import dis
import inspect


def my_generator():
    frame = inspect.currentframe()
    print(frame.f_code.co_consts)
    x = yield
    frame = inspect.currentframe()
    print(frame.f_code.co_consts)

makslevental

  %1085 = tail call <16 x float> @llvm.amdgcn.mfma.f32.32x32x16.f16(<8 x half> %1056, <8 x half> %1052, <16 x float> %1084, i32 0, i32 0, i32 0), !dbg !62
  %1947 = shufflevector <2 x float> %1478, <2 x float> poison, <16 x i32> zeroinitializer, !dbg !62
  %1948 = fmul <16 x float> %1085, %1947, !dbg !62
  %1949 = tail call <16 x float> @llvm.amdgcn.mfma.f32.32x32x16.f16(<8 x half> %1931, <8 x half> %1906, <16 x float> %1948, i32 0, i32 0, i32 0), !dbg !62

makslevental

/*===- TableGen'erated file -------------------------------------*- C++ -*-===*\
|*                                                                            *|
|* Target Register Enum Values                                                *|
|*                                                                            *|
|* Automatically generated file, do not edit!                                 *|
|*                                                                            *|
\*===----------------------------------------------------------------------===*/


#ifdef GET_REGINFO_ENUM

makslevental

	.section	.AMDGPU.config,"",@progbits
	.long	47176
	.long	11468865
	.long	47180
	.long	5008
	.long	47200
	.long	0
	.long	4
	.long	0
	.long	8

makslevental

from enum import Flag
from pprint import pprint


class SchedGroupMask(Flag):
    NONE = 0
    ALU = 1 << 0
    VALU = 1 << 1
    SALU = 1 << 2
    MFMA = 1 << 3