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Copy pathinstall_requirements.py
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273 lines (249 loc) · 10.1 KB
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# Copyright (c) Meta Platforms, Inc. and affiliates.
# Copyright 2024-25 Arm Limited and/or its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os
import platform
import subprocess
import sys
from install_utils import determine_torch_url, is_intel_mac_os, python_is_compatible
# The pip repository that hosts nightly torch packages.
# This will be dynamically set based on CUDA availability and CUDA backend enabled/disabled.
TORCH_URL_BASE = "https://download.pytorch.org/whl/test"
TORCHAO_URL_BASE = "https://download.pytorch.org/whl/nightly"
TORCHAO_NIGHTLY_VERSION = "0.19.0.dev20260907"
CU134_TORCHAO_NIGHTLY_VERSION = "0.19.0.dev20260907"
# Newest rocm7.2 TorchAO nightly with compiled kernels (cp310-abi3); later ROCm nightlies
# are py3-none-any only, and none are published after 0.19.0.dev20260831.
ROCM_TORCHAO_NIGHTLY_VERSION = "0.19.0.dev20260805"
# torchvision 0.30.0.dev20260922 requires exactly torch 2.15.0.dev20260921.
# download.pytorch.org keeps about 60 days of nightlies, so this pin expires; 2026-09-22
# is the newest date whose torch, torchvision and torchaudio still all carry cp310.
CU134_TORCH_PACKAGES = [
"torch==2.15.0.dev20260921+cu134",
"torchvision==0.30.0.dev20260922+cu134",
"torchaudio==2.11.0.dev20260922+cu134",
]
def torchao_from_source():
return (
os.environ.get("EXECUTORCH_BUILD_KERNELS_TORCHAO") == "1"
or os.environ.get("TORCHAO_BUILD_EXPERIMENTAL_MPS") == "1"
)
def cu134_requirements(torch_url, include_domains=False):
if not torch_url.endswith("/cu134"):
return []
packages = list(
CU134_TORCH_PACKAGES if include_domains else CU134_TORCH_PACKAGES[:1]
)
if not torchao_from_source():
torchao_variant = (
"cpu" if platform.machine().lower() in ("aarch64", "arm64") else "cu134"
)
packages.append(f"torchao=={CU134_TORCHAO_NIGHTLY_VERSION}+{torchao_variant}")
return packages
# Since ExecuTorch often uses main-branch features of pytorch, only the nightly
# pip versions will have the required features.
#
# NOTE: If a newly-fetched version of the executorch repo changes the value of
# NIGHTLY_VERSION, you should re-run this script to install the necessary
# package versions.
#
# NOTE: If you're changing, make the corresponding change in .ci/docker/ci_commit_pins/pytorch.txt
# by picking the hash from the same date in
# https://hud.pytorch.org/hud/pytorch/pytorch/nightly/ @lint-ignore
#
# NOTE: If you're changing, make the corresponding supported CUDA versions in
# SUPPORTED_CUDA_VERSIONS in install_utils.py if needed.
def install_requirements(use_pytorch_nightly):
# Skip pip install on Intel macOS if using nightly.
if use_pytorch_nightly and is_intel_mac_os():
print(
"ERROR: Prebuilt PyTorch wheels are no longer available for Intel-based macOS.\n"
"Please build from source by following https://docs.pytorch.org/executorch/main/using-executorch-building-from-source.html",
file=sys.stderr,
)
sys.exit(1)
# Determine the appropriate PyTorch URL based on CUDA delegate status
torch_url = determine_torch_url(TORCH_URL_BASE)
cu134_packages = cu134_requirements(torch_url)
if cu134_packages:
torch_url = determine_torch_url(TORCHAO_URL_BASE)
if not use_pytorch_nightly:
cu134_packages[0] = "torch"
# torchao's CUDA channel publishes x86_64 only, so asking for a CUDA build makes the pin
# unsatisfiable on aarch64. Only that case is special-cased: falling back everywhere would
# change which torchao a CPU x86_64 install resolves, and the CUDA build is genuinely wanted
# where it exists. This nightly is what a development checkout is tested against, and the
# wheel's own torchao lower bound is this same version so that installing the package
# afterwards leaves this pin in place rather than replacing it.
if platform.machine().lower() in ("aarch64", "arm64"):
# The cpu channel specifically, not the index root. The root carries every variant, and a
# pin without a local segment admits all of them while ordering a local segment highest,
# so the xpu channel's pure python wheel would win on version before pip compares wheel
# tags, silently replacing the compiled aarch64 build.
torchao_url = f"{TORCHAO_URL_BASE}/cpu"
else:
torchao_url = determine_torch_url(TORCHAO_URL_BASE)
# pip packages needed by exir.
TORCH_PACKAGE = cu134_packages or [
# Setting use_pytorch_nightly to false to test the pinned PyTorch commit. Note
# that we don't need to set any version number there because they have already
# been installed on CI before this step, so pip won't reinstall them
("torch==2.14.0" if use_pytorch_nightly else "torch"),
f"torchao=={TORCHAO_NIGHTLY_VERSION}",
]
# Install the requirements for core ExecuTorch package.
# `--extra-index-url` tells pip to look for package
# versions on the provided URL if they aren't available on the default URL.
subprocess.run(
[
sys.executable,
"-m",
"pip",
"install",
"-r",
"requirements-dev.txt",
*TORCH_PACKAGE,
"--extra-index-url",
torch_url,
"--extra-index-url",
torchao_url,
],
check=True,
)
LOCAL_REQUIREMENTS = []
if torchao_from_source():
LOCAL_REQUIREMENTS.append("third-party/ao")
if sys.platform != "win32":
if sys.platform == "darwin" and sys.version_info >= (3, 15):
# SentencePiece 0.2.2 hardcodes a 10.9 compile target despite the
# wheel's newer deployment target. Scope the libc++ workaround to it.
sentencepiece_env = os.environ.copy()
sentencepiece_env["CXXFLAGS"] = (
f"{sentencepiece_env.get('CXXFLAGS', '')} -D_LIBCPP_DISABLE_AVAILABILITY"
)
subprocess.run(
[
sys.executable,
"-m",
"pip",
"install",
"--no-build-isolation",
"sentencepiece==0.2.2",
],
env=sentencepiece_env,
check=True,
)
# TODO(larryliu0820): Setup a pypi package for this.
LOCAL_REQUIREMENTS.append("extension/llm/tokenizers")
# TODO(gjcomer): Re-enable when buildable on Windows.
if LOCAL_REQUIREMENTS:
# Install packages directly from local copy instead of pypi.
# This is usually not recommended.
new_env = os.environ.copy()
if ("EXECUTORCH_BUILD_KERNELS_TORCHAO" not in new_env) or (
new_env["EXECUTORCH_BUILD_KERNELS_TORCHAO"] == "0"
):
new_env["USE_CPP"] = "0"
else:
assert new_env["EXECUTORCH_BUILD_KERNELS_TORCHAO"] == "1"
new_env["USE_CPP"] = "1"
new_env["CMAKE_POLICY_VERSION_MINIMUM"] = "3.5"
subprocess.run(
[
sys.executable,
"-m",
"pip",
"install",
# Without --no-build-isolation, setup.py can't find the torch module.
"--no-build-isolation",
*LOCAL_REQUIREMENTS,
*cu134_packages,
*(
["--extra-index-url", torch_url, "--extra-index-url", torchao_url]
if cu134_packages
else []
),
],
env=new_env,
check=True,
)
def install_optional_example_requirements(use_pytorch_nightly):
# Determine the appropriate PyTorch URL based on CUDA delegate status
torch_url = determine_torch_url(TORCH_URL_BASE)
cu134_packages = (
cu134_requirements(torch_url, include_domains=True)
if use_pytorch_nightly
else []
)
if cu134_packages:
torch_url = determine_torch_url(TORCHAO_URL_BASE)
torchao_index = (
["--extra-index-url", f"{TORCHAO_URL_BASE}/cpu"]
if cu134_packages and platform.machine().lower() in ("aarch64", "arm64")
else []
)
print("Installing torch domain libraries")
torchaudio_version = "2.11.1" if sys.version_info >= (3, 15) else "2.11.0"
DOMAIN_LIBRARIES = cu134_packages or [
("torchvision==0.29.0" if use_pytorch_nightly else "torchvision"),
(f"torchaudio=={torchaudio_version}" if use_pytorch_nightly else "torchaudio"),
]
# Then install domain libraries
subprocess.run(
[
sys.executable,
"-m",
"pip",
"install",
*DOMAIN_LIBRARIES,
"--extra-index-url",
torch_url,
*torchao_index,
],
check=True,
)
print("Installing packages in requirements-examples.txt")
subprocess.run(
[
sys.executable,
"-m",
"pip",
"install",
"-r",
"requirements-examples.txt",
*cu134_packages,
"--extra-index-url",
torch_url,
*torchao_index,
"--upgrade-strategy",
"only-if-needed",
],
check=True,
)
def main(args):
parser = argparse.ArgumentParser()
parser.add_argument(
"--use-pt-pinned-commit",
action="store_true",
help="build from the pinned PyTorch commit instead of nightly",
)
parser.add_argument(
"--example",
action="store_true",
help="Also installs required packages for running example scripts.",
)
args = parser.parse_args(args)
use_pytorch_nightly = not bool(args.use_pt_pinned_commit)
install_requirements(use_pytorch_nightly)
if args.example:
install_optional_example_requirements(use_pytorch_nightly)
if __name__ == "__main__":
# Before doing anything, cd to the directory containing this script.
os.chdir(os.path.dirname(os.path.abspath(__file__)))
if not python_is_compatible():
sys.exit(1)
main(sys.argv[1:])
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