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doc/dev/python_scheduling/autotune_inner_reduction.py

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import torch
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import itertools
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# TODO Update script to use nvfuser_direct module
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from nvfuser import FusionDefinition, SchedulerType, DataType, ParallelType
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from enum import Enum
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from dataclasses import dataclass

doc/dev/python_scheduling/autotune_matmul.py

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import torch
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import itertools
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# TODO Update script to use nvfuser_direct module
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from nvfuser import FusionDefinition, SchedulerType
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# Description of the problem

doc/dev/python_scheduling/autotune_pointwise.py

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import torch
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import itertools
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import math
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# TODO Update script to use nvfuser_direct module
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from nvfuser import FusionDefinition, SchedulerType, DataType
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from dataclasses import dataclass
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from enum import Enum

doc/dev/python_scheduling/profile_matmul.py

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# SPDX-FileCopyrightText: Copyright (c) 2025-present NVIDIA CORPORATION & AFFILIATES.
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# All rights reserved.
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# SPDX-License-Identifier: BSD-3-Clause
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# TODO Update script to use nvfuser_direct module
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from nvfuser import (
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FusionDefinition,
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SchedulerType,

python/utils.py

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from setuptools import Extension, setup, find_packages
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# NOTE(crcrpar): Deliberately build basically two dynamic libraries here so that they can
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# be treated as "nvfuser_package_data". This function call will put the two of "nvfuser" and
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# "nvfuser_codegen" into "./nvfuser/lib", and the former will be "nvfuser._C".
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# be treated as "nvfuser_package_data".
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if config.build_setup:
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cmake(config, relative_path)
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if not config.cmake_only:

tests/python/utils/__init__.py

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