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#!/usr/bin/env bash
# Copyright (c) Meta Platforms, Inc. and 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.
# A set of useful bash functions for common functionality we need to do in
# many build scripts
# Setup CUDA environment variables, based on CU_VERSION
#
# Inputs:
# CU_VERSION (cpu, cu92, cu100)
# NO_CUDA_PACKAGE (bool)
# BUILD_TYPE (conda, wheel)
#
# Outputs:
# VERSION_SUFFIX (e.g., "")
# PYTORCH_VERSION_SUFFIX (e.g., +cpu)
# WHEEL_DIR (e.g., cu100/)
# CUDA_HOME (e.g., /usr/local/cuda-9.2, respected by torch.utils.cpp_extension)
# FORCE_CUDA (respected by torchvision setup.py)
# NVCC_FLAGS (respected by torchvision setup.py)
#
# Precondition: CUDA versions are installed in their conventional locations in
# /usr/local/cuda-*
#
# NOTE: Why VERSION_SUFFIX versus PYTORCH_VERSION_SUFFIX? If you're building
# a package with CUDA on a platform we support CUDA on, VERSION_SUFFIX ==
# PYTORCH_VERSION_SUFFIX and everyone is happy. However, if you are building a
# package with only CPU bits (e.g., torchaudio), then VERSION_SUFFIX is always
# empty, but PYTORCH_VERSION_SUFFIX is +cpu (because that's how you get a CPU
# version of a Python package. But that doesn't apply if you're on OS X,
# since the default CU_VERSION on OS X is cpu.
setup_cuda() {
# First, compute version suffixes. By default, assume no version suffixes
export VERSION_SUFFIX=""
export PYTORCH_VERSION_SUFFIX=""
export WHEEL_DIR="cpu/"
# Wheel builds need suffixes (but not if they're on OS X, which never has suffix)
if [[ "$BUILD_TYPE" == "wheel" ]] && [[ "$(uname)" != Darwin ]]; then
# The default CUDA has no suffix
if [[ "$CU_VERSION" != "cu100" ]]; then
export PYTORCH_VERSION_SUFFIX="+$CU_VERSION"
fi
# Match the suffix scheme of pytorch, unless this package does not have
# CUDA builds (in which case, use default)
if [[ -z "$NO_CUDA_PACKAGE" ]]; then
export VERSION_SUFFIX="$PYTORCH_VERSION_SUFFIX"
# If the suffix is non-empty, we will use a wheel subdirectory
if [[ -n "$PYTORCH_VERSION_SUFFIX" ]]; then
export WHEEL_DIR="$PYTORCH_VERSION_SUFFIX/"
fi
fi
fi
# Now work out the CUDA settings
case "$CU_VERSION" in
cu100)
export CUDA_HOME=/usr/local/cuda-10.0/
export FORCE_CUDA=1
# Hard-coding gencode flags is temporary situation until
# https://github.com/pytorch/pytorch/pull/23408 lands
export NVCC_FLAGS="-gencode=arch=compute_35,code=sm_35 -gencode=arch=compute_50,code=sm_50 -gencode=arch=compute_60,code=sm_60 -gencode=arch=compute_70,code=sm_70 -gencode=arch=compute_75,code=sm_75 -gencode=arch=compute_50,code=compute_50"
;;
cu92)
export CUDA_HOME=/usr/local/cuda-9.2/
export FORCE_CUDA=1
export NVCC_FLAGS="-gencode=arch=compute_35,code=sm_35 -gencode=arch=compute_50,code=sm_50 -gencode=arch=compute_60,code=sm_60 -gencode=arch=compute_70,code=sm_70 -gencode=arch=compute_50,code=compute_50"
;;
cpu)
;;
*)
echo "Unrecognized CU_VERSION=$CU_VERSION"
exit 1
;;
esac
}
# Populate build version if necessary, and add version suffix
#
# Inputs:
# VERSION_SUFFIX (e.g., +cpu)
#
# Outputs:
# BUILD_VERSION (e.g., 0.3.0.dev20220314+cpu)
setup_build_version() {
version=$(head -1 "$SOURCE_ROOT_DIR/version.txt")
if [[ $version == *a0 ]]; then
len=$((${#version}-2))
version=${version::$len}
fi
if [[ -z "$PYTORCH_VERSION" ]]; then
# Nightly
export BUILD_VERSION="$version.dev$(date "+%Y%m%d")$VERSION_SUFFIX"
export UPLOAD_CHANNEL="nightly"
else
# Release
export BUILD_VERSION="$version$VERSION_SUFFIX"
export UPLOAD_CHANNEL="test"
fi
}
# Set some useful variables for OS X, if applicable
# AWSSDK requires at lest 10.13
setup_macos() {
if [[ "$(uname)" == Darwin ]]; then
export MACOSX_DEPLOYMENT_TARGET=10.13 CC=clang CXX=clang++
fi
}
# Top-level entry point for things every package will need to do
setup_env() {
setup_cuda
setup_build_version
setup_macos
}
# Function to retry functions that sometimes timeout or have flaky failures
retry () {
$* || (sleep 1 && $*) || (sleep 2 && $*) || (sleep 4 && $*) || (sleep 8 && $*)
}
# Install with pip a bit more robustly than the default
pip_install() {
retry pip install --progress-bar off "$@"
}
# Install torch with pip, respecting PYTORCH_VERSION, and record the installed
# version into PYTORCH_VERSION, if applicable
setup_pip_pytorch_version() {
if [[ -z "$PYTORCH_VERSION" ]]; then
# Install latest prerelease version of torch, per our nightlies, consistent
# with the requested cuda version
pip_install --pre torch --index-url "https://download.pytorch.org/whl/nightly/${WHEEL_DIR}"
# CUDA and CPU are ABI compatible on the CPU-only parts, so strip
# in this case
export PYTORCH_VERSION="$(pip show torch | grep ^Version: | sed 's/Version: *//' | sed 's/+.\+//')"
else
pip_install "torch==$PYTORCH_VERSION$PYTORCH_VERSION_SUFFIX" \
--index-url "https://download.pytorch.org/whl/${UPLOAD_CHANNEL}/${WHEEL_DIR}"
fi
}
# Fill PYTORCH_VERSION with the latest conda nightly version, and
# CONDA_CHANNEL_FLAGS with appropriate flags to retrieve these versions
#
# You MUST have populated PYTORCH_VERSION_SUFFIX before hand.
setup_conda_pytorch_constraint() {
CONDA_CHANNEL_FLAGS=${CONDA_CHANNEL_FLAGS:-}
if [[ -z "$PYTORCH_VERSION" ]]; then
export CONDA_CHANNEL_FLAGS="${CONDA_CHANNEL_FLAGS} -c pytorch-nightly"
export PYTORCH_VERSION="$(conda search --json 'pytorch[channel=pytorch-nightly]' | \
python -c "import json, os, re, sys; cuver = os.environ.get('CU_VERSION'); \
pyver = os.environ.get('PYTHON_VERSION'); \
print(re.sub(r'\\+.*$', '',
[x['version'] for x in json.load(sys.stdin)['pytorch'] \
if (x['platform'] == 'darwin' or cuver in x['fn']) and 'py' + pyver in x['fn']][-1]))")"
else
export CONDA_CHANNEL_FLAGS="${CONDA_CHANNEL_FLAGS} -c pytorch -c pytorch-${UPLOAD_CHANNEL}"
fi
if [[ "$CU_VERSION" == cpu ]]; then
export CONDA_PYTORCH_BUILD_CONSTRAINT="- pytorch==$PYTORCH_VERSION${PYTORCH_VERSION_SUFFIX}"
export CONDA_PYTORCH_CONSTRAINT="- pytorch==$PYTORCH_VERSION"
else
export CONDA_PYTORCH_BUILD_CONSTRAINT="- pytorch==${PYTORCH_VERSION}${PYTORCH_VERSION_SUFFIX}"
export CONDA_PYTORCH_CONSTRAINT="- pytorch==${PYTORCH_VERSION}${PYTORCH_VERSION_SUFFIX}"
fi
}