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## Summary This PR is the first step in the adaptation of Ascend NPU to Liger Kernel: adding NPU device support. For details, refer to [[RFC] Native Ascend NPU Support for Liger Kernel](https://github.com/linkedin/Liger-Kernel/issues/954), Section 2.1: **Device Support Integration**. ## Details Key Modifications: 1. Add the installation method and basic function adaptation for NPU. 2. Directly import via `triton.language.math` on NPU to avoid errors caused by non-existent interfaces. ## Testing Done Verification Status: We have conducted verification on **Atlas 800T A3**, and basic test cases such as `test_softmax` and `test_swiglu` have passed. We will continue to improve it in the future. <img width="2870" height="924" alt="image" src="https://github.com/user-attachments/assets/e1bb8195-e140-4531-9cc6-d590ce07e7c9" /> - Hardware Type: <BLANK> - [x] run `make test` to ensure correctness - [x] run `make checkstyle` to ensure code style - [x] run `make test-convergence` to ensure convergence
131 lines
3.5 KiB
Python
131 lines
3.5 KiB
Python
# setup.py
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import subprocess
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from typing import Literal
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from setuptools import setup
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def get_default_dependencies():
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"""Determine the appropriate dependencies based on detected hardware."""
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platform = get_platform()
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if platform in ["cuda", "cpu"]:
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return [
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"torch>=2.1.2",
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"triton>=2.3.1",
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]
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elif platform == "rocm":
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return [
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"triton>=3.0.0",
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]
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elif platform == "xpu":
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return [
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"torch>=2.6.0",
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]
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elif platform == "npu":
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return ["torch_npu==2.6.0", "triton-ascend"]
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def get_optional_dependencies():
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"""Get optional dependency groups."""
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return {
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"dev": [
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"transformers>=4.49.0",
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"matplotlib>=3.7.2",
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"ruff>=0.12.0",
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"pytest>=7.1.2",
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"pytest-xdist",
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"pytest-cov",
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"pytest-asyncio",
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"pytest-rerunfailures",
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"datasets>=2.19.2",
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"seaborn",
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"mkdocs-material",
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"torchvision>=0.20",
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]
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}
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def is_xpu_available():
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"""
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Check if Intel XPU is available.
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xpu-smi is often missing right now.
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"""
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try:
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subprocess.run(["xpu-smi"], check=True)
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return True
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except (subprocess.SubprocessError, FileNotFoundError):
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pass
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try:
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result = subprocess.run("sycl-ls", check=True, capture_output=True, shell=True)
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if "level_zero:gpu" in result.stdout.decode():
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return True
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except (subprocess.SubprocessError, FileNotFoundError):
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pass
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return False
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def is_ascend_available() -> bool:
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"""Best-effort Ascend detection.
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Checks for common Ascend environment variables and a possible `npu-smi`
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utility if present.
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"""
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try:
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subprocess.run(["npu-smi", "info"], check=True)
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return True
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except (subprocess.SubprocessError, FileNotFoundError):
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pass
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return False
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def get_platform() -> Literal["cuda", "rocm", "cpu", "xpu", "npu"]:
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"""
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Detect whether the system has NVIDIA or AMD GPU without torch dependency.
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"""
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# Try nvidia-smi first
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try:
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subprocess.run(["nvidia-smi"], check=True)
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print("NVIDIA GPU detected")
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return "cuda"
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except (subprocess.SubprocessError, FileNotFoundError):
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# If nvidia-smi fails, check for ROCm
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try:
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subprocess.run(["rocm-smi"], check=True)
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print("ROCm GPU detected")
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return "rocm"
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except (subprocess.SubprocessError, FileNotFoundError):
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if is_xpu_available():
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print("Intel GPU detected")
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return "xpu"
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elif is_ascend_available():
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print("Ascend NPU detected")
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return "npu"
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else:
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print("No GPU detected")
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return "cpu"
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setup(
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name="liger_kernel",
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package_dir={"": "src"},
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packages=["liger_kernel"],
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install_requires=get_default_dependencies(),
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extras_require=get_optional_dependencies(),
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classifiers=[
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"Development Status :: 5 - Production/Stable",
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"Intended Audience :: Developers",
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"Intended Audience :: Education",
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"Intended Audience :: Science/Research",
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"Programming Language :: Python :: 3",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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"Topic :: Software Development :: Libraries :: Python Modules",
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"License :: OSI Approved :: BSD-2-Clause Software License",
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"Operating System :: OS Independent",
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],
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)
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