451 lines
15 KiB
Nix
451 lines
15 KiB
Nix
{ lib
|
||
, pkgs
|
||
, stdenv
|
||
|
||
# Build-time dependencies:
|
||
, addOpenGLRunpath
|
||
, autoAddDriverRunpath
|
||
, bazel_6
|
||
, binutils
|
||
, buildBazelPackage
|
||
, buildPythonPackage
|
||
, cctools
|
||
, curl
|
||
, cython
|
||
, fetchFromGitHub
|
||
, fetchpatch
|
||
, git
|
||
, IOKit
|
||
, jsoncpp
|
||
, nsync
|
||
, openssl
|
||
, pybind11
|
||
, setuptools
|
||
, symlinkJoin
|
||
, wheel
|
||
, build
|
||
, which
|
||
|
||
# Python dependencies:
|
||
, absl-py
|
||
, flatbuffers
|
||
, ml-dtypes
|
||
, numpy
|
||
, scipy
|
||
, six
|
||
|
||
# Runtime dependencies:
|
||
, double-conversion
|
||
, giflib
|
||
, libjpeg_turbo
|
||
, python
|
||
, snappy
|
||
, zlib
|
||
|
||
, config
|
||
# CUDA flags:
|
||
, cudaSupport ? config.cudaSupport
|
||
, cudaPackagesGoogle
|
||
|
||
# MKL:
|
||
, mklSupport ? true
|
||
}@inputs:
|
||
|
||
let
|
||
inherit (cudaPackagesGoogle) cudaFlags cudaVersion cudnn nccl;
|
||
|
||
pname = "jaxlib";
|
||
version = "0.4.24";
|
||
|
||
# It's necessary to consistently use backendStdenv when building with CUDA
|
||
# support, otherwise we get libstdc++ errors downstream
|
||
stdenv = throw "Use effectiveStdenv instead";
|
||
effectiveStdenv = if cudaSupport then cudaPackagesGoogle.backendStdenv else inputs.stdenv;
|
||
|
||
meta = with lib; {
|
||
description = "JAX is Autograd and XLA, brought together for high-performance machine learning research.";
|
||
homepage = "https://github.com/google/jax";
|
||
license = licenses.asl20;
|
||
maintainers = with maintainers; [ ndl ];
|
||
platforms = platforms.unix;
|
||
# aarch64-darwin is broken because of https://github.com/bazelbuild/rules_cc/pull/136
|
||
# however even with that fix applied, it doesn't work for everyone:
|
||
# https://github.com/NixOS/nixpkgs/pull/184395#issuecomment-1207287129
|
||
# NOTE: We always build with NCCL; if it is unsupported, then our build is broken.
|
||
broken = effectiveStdenv.isDarwin || nccl.meta.unsupported;
|
||
};
|
||
|
||
# These are necessary at build time and run time.
|
||
cuda_libs_joined = symlinkJoin {
|
||
name = "cuda-joined";
|
||
paths = with cudaPackagesGoogle; [
|
||
cuda_cudart.lib # libcudart.so
|
||
cuda_cudart.static # libcudart_static.a
|
||
cuda_cupti.lib # libcupti.so
|
||
libcublas.lib # libcublas.so
|
||
libcufft.lib # libcufft.so
|
||
libcurand.lib # libcurand.so
|
||
libcusolver.lib # libcusolver.so
|
||
libcusparse.lib # libcusparse.so
|
||
];
|
||
};
|
||
# These are only necessary at build time.
|
||
cuda_build_deps_joined = symlinkJoin {
|
||
name = "cuda-build-deps-joined";
|
||
paths = with cudaPackagesGoogle; [
|
||
cuda_libs_joined
|
||
|
||
# Binaries
|
||
cudaPackagesGoogle.cuda_nvcc.bin # nvcc
|
||
|
||
# Headers
|
||
cuda_cccl.dev # block_load.cuh
|
||
cuda_cudart.dev # cuda.h
|
||
cuda_cupti.dev # cupti.h
|
||
cuda_nvcc.dev # See https://github.com/google/jax/issues/19811
|
||
cuda_nvml_dev # nvml.h
|
||
cuda_nvtx.dev # nvToolsExt.h
|
||
libcublas.dev # cublas_api.h
|
||
libcufft.dev # cufft.h
|
||
libcurand.dev # curand.h
|
||
libcusolver.dev # cusolver_common.h
|
||
libcusparse.dev # cusparse.h
|
||
];
|
||
};
|
||
|
||
backend_cc_joined = symlinkJoin {
|
||
name = "cuda-cc-joined";
|
||
paths = [
|
||
effectiveStdenv.cc
|
||
binutils.bintools # for ar, dwp, nm, objcopy, objdump, strip
|
||
];
|
||
};
|
||
|
||
# Copy-paste from TF derivation.
|
||
# Most of these are not really used in jaxlib compilation but it's simpler to keep it
|
||
# 'as is' so that it's more compatible with TF derivation.
|
||
tf_system_libs = [
|
||
"absl_py"
|
||
"astor_archive"
|
||
"astunparse_archive"
|
||
# Not packaged in nixpkgs
|
||
# "com_github_googleapis_googleapis"
|
||
# "com_github_googlecloudplatform_google_cloud_cpp"
|
||
# Issue with transitive dependencies after https://github.com/grpc/grpc/commit/f1d14f7f0b661bd200b7f269ef55dec870e7c108
|
||
# "com_github_grpc_grpc"
|
||
# ERROR: /build/output/external/bazel_tools/tools/proto/BUILD:25:6: no such target '@com_google_protobuf//:cc_toolchain':
|
||
# target 'cc_toolchain' not declared in package '' defined by /build/output/external/com_google_protobuf/BUILD.bazel
|
||
# "com_google_protobuf"
|
||
# Fails with the error: external/org_tensorflow/tensorflow/core/profiler/utils/tf_op_utils.cc:46:49: error: no matching function for call to 're2::RE2::FullMatch(absl::lts_2020_02_25::string_view&, re2::RE2&)'
|
||
# "com_googlesource_code_re2"
|
||
"curl"
|
||
"cython"
|
||
"dill_archive"
|
||
"double_conversion"
|
||
"flatbuffers"
|
||
"functools32_archive"
|
||
"gast_archive"
|
||
"gif"
|
||
"hwloc"
|
||
"icu"
|
||
"jsoncpp_git"
|
||
"libjpeg_turbo"
|
||
"lmdb"
|
||
"nasm"
|
||
"opt_einsum_archive"
|
||
"org_sqlite"
|
||
"pasta"
|
||
"png"
|
||
# ERROR: /build/output/external/pybind11/BUILD.bazel: no such target '@pybind11//:osx':
|
||
# target 'osx' not declared in package '' defined by /build/output/external/pybind11/BUILD.bazel
|
||
# "pybind11"
|
||
"six_archive"
|
||
"snappy"
|
||
"tblib_archive"
|
||
"termcolor_archive"
|
||
"typing_extensions_archive"
|
||
"wrapt"
|
||
"zlib"
|
||
];
|
||
|
||
arch =
|
||
# KeyError: ('Linux', 'arm64')
|
||
if effectiveStdenv.hostPlatform.isLinux && effectiveStdenv.hostPlatform.linuxArch == "arm64" then "aarch64"
|
||
else effectiveStdenv.hostPlatform.linuxArch;
|
||
|
||
xla = effectiveStdenv.mkDerivation {
|
||
pname = "xla-src";
|
||
version = "unstable";
|
||
|
||
src = fetchFromGitHub {
|
||
owner = "openxla";
|
||
repo = "xla";
|
||
# Update this according to https://github.com/google/jax/blob/jaxlib-v${version}/third_party/xla/workspace.bzl.
|
||
rev = "12eee889e1f2ad41e27d7b0e970cb92d282d3ec5";
|
||
hash = "sha256-68kjjgwYjRlcT0TVJo9BN6s+WTkdu5UMJqQcfHpBT90=";
|
||
};
|
||
|
||
patches = [
|
||
# Resolves "could not convert ‘result’ from ‘SmallVector<[...],6>’ to
|
||
# ‘SmallVector<[...],4>’" compilation error. See https://github.com/google/jax/issues/19814#issuecomment-1945141259.
|
||
(fetchpatch {
|
||
url = "https://github.com/openxla/xla/commit/7a614cd346594fc7ea2fe75570c9c53a4a444f60.patch";
|
||
hash = "sha256-RtuQTH8wzNiJcOtISLhf+gMlH1gg8hekvxEB+4wX6BM=";
|
||
})
|
||
];
|
||
|
||
dontBuild = true;
|
||
|
||
# This is necessary for patchShebangs to know the right path to use.
|
||
nativeBuildInputs = [ python ];
|
||
|
||
# Main culprits we're targeting are third_party/tsl/third_party/gpus/crosstool/clang/bin/*.tpl
|
||
postPatch = ''
|
||
patchShebangs .
|
||
'';
|
||
|
||
installPhase = ''
|
||
cp -r . $out
|
||
'';
|
||
};
|
||
|
||
bazel-build = buildBazelPackage rec {
|
||
name = "bazel-build-${pname}-${version}";
|
||
|
||
# See https://github.com/google/jax/blob/main/.bazelversion for the latest.
|
||
bazel = bazel_6;
|
||
|
||
src = fetchFromGitHub {
|
||
owner = "google";
|
||
repo = "jax";
|
||
# google/jax contains tags for jax and jaxlib. Only use jaxlib tags!
|
||
rev = "refs/tags/${pname}-v${version}";
|
||
hash = "sha256-hmx7eo3pephc6BQfoJ3U0QwWBWmhkAc+7S4QmW32qQs=";
|
||
};
|
||
|
||
nativeBuildInputs = [
|
||
cython
|
||
pkgs.flatbuffers
|
||
git
|
||
setuptools
|
||
wheel
|
||
build
|
||
which
|
||
] ++ lib.optionals effectiveStdenv.isDarwin [
|
||
cctools
|
||
];
|
||
|
||
buildInputs = [
|
||
curl
|
||
double-conversion
|
||
giflib
|
||
jsoncpp
|
||
libjpeg_turbo
|
||
numpy
|
||
openssl
|
||
pkgs.flatbuffers
|
||
pkgs.protobuf
|
||
pybind11
|
||
scipy
|
||
six
|
||
snappy
|
||
zlib
|
||
] ++ lib.optionals effectiveStdenv.isDarwin [
|
||
IOKit
|
||
] ++ lib.optionals (!effectiveStdenv.isDarwin) [
|
||
nsync
|
||
];
|
||
|
||
# We don't want to be quite so picky regarding bazel version
|
||
postPatch = ''
|
||
rm -f .bazelversion
|
||
'';
|
||
|
||
bazelRunTarget = "//jaxlib/tools:build_wheel";
|
||
runTargetFlags = [
|
||
"--output_path=$out"
|
||
"--cpu=${arch}"
|
||
# This has no impact whatsoever...
|
||
"--jaxlib_git_hash='12345678'"
|
||
];
|
||
|
||
removeRulesCC = false;
|
||
|
||
GCC_HOST_COMPILER_PREFIX = lib.optionalString cudaSupport "${backend_cc_joined}/bin";
|
||
GCC_HOST_COMPILER_PATH = lib.optionalString cudaSupport "${backend_cc_joined}/bin/gcc";
|
||
|
||
# The version is automatically set to ".dev" if this variable is not set.
|
||
# https://github.com/google/jax/commit/e01f2617b85c5bdffc5ffb60b3d8d8ca9519a1f3
|
||
JAXLIB_RELEASE = "1";
|
||
|
||
preConfigure =
|
||
# Dummy ldconfig to work around "Can't open cache file /nix/store/<hash>-glibc-2.38-44/etc/ld.so.cache" error
|
||
''
|
||
mkdir dummy-ldconfig
|
||
echo "#!${effectiveStdenv.shell}" > dummy-ldconfig/ldconfig
|
||
chmod +x dummy-ldconfig/ldconfig
|
||
export PATH="$PWD/dummy-ldconfig:$PATH"
|
||
'' +
|
||
|
||
# Construct .jax_configure.bazelrc. See https://github.com/google/jax/blob/b9824d7de3cb30f1df738cc42e486db3e9d915ff/build/build.py#L259-L345
|
||
# for more info. We assume
|
||
# * `cpu = None`
|
||
# * `enable_nccl = True`
|
||
# * `target_cpu_features = "release"`
|
||
# * `rocm_amdgpu_targets = None`
|
||
# * `enable_rocm = False`
|
||
# * `build_gpu_plugin = False`
|
||
# * `use_clang = False` (Should we use `effectiveStdenv.cc.isClang` instead?)
|
||
#
|
||
# Note: We should try just running https://github.com/google/jax/blob/ceb198582b62b9e6f6bdf20ab74839b0cf1db16e/build/build.py#L259-L266
|
||
# instead of duplicating the logic here. Perhaps we can leverage the
|
||
# `--configure_only` flag (https://github.com/google/jax/blob/ceb198582b62b9e6f6bdf20ab74839b0cf1db16e/build/build.py#L544-L548)?
|
||
''
|
||
cat <<CFG > ./.jax_configure.bazelrc
|
||
build --strategy=Genrule=standalone
|
||
build --repo_env PYTHON_BIN_PATH="${python}/bin/python"
|
||
build --action_env=PYENV_ROOT
|
||
build --python_path="${python}/bin/python"
|
||
build --distinct_host_configuration=false
|
||
build --define PROTOBUF_INCLUDE_PATH="${pkgs.protobuf}/include"
|
||
'' + lib.optionalString cudaSupport ''
|
||
build --config=cuda
|
||
build --action_env CUDA_TOOLKIT_PATH="${cuda_build_deps_joined}"
|
||
build --action_env CUDNN_INSTALL_PATH="${cudnn}"
|
||
build --action_env TF_CUDA_PATHS="${cuda_build_deps_joined},${cudnn},${nccl}"
|
||
build --action_env TF_CUDA_VERSION="${lib.versions.majorMinor cudaVersion}"
|
||
build --action_env TF_CUDNN_VERSION="${lib.versions.major cudnn.version}"
|
||
build:cuda --action_env TF_CUDA_COMPUTE_CAPABILITIES="${builtins.concatStringsSep "," cudaFlags.realArches}"
|
||
'' +
|
||
# Note that upstream conditions this on `wheel_cpu == "x86_64"`. We just
|
||
# rely on `effectiveStdenv.hostPlatform.avxSupport` instead. So far so
|
||
# good. See https://github.com/google/jax/blob/b9824d7de3cb30f1df738cc42e486db3e9d915ff/build/build.py#L322
|
||
# for upstream's version.
|
||
lib.optionalString (effectiveStdenv.hostPlatform.avxSupport && effectiveStdenv.hostPlatform.isUnix) ''
|
||
build --config=avx_posix
|
||
'' + lib.optionalString mklSupport ''
|
||
build --config=mkl_open_source_only
|
||
'' +
|
||
''
|
||
CFG
|
||
'';
|
||
|
||
# Make sure Bazel knows about our configuration flags during fetching so that the
|
||
# relevant dependencies can be downloaded.
|
||
bazelFlags = [
|
||
"-c opt"
|
||
# See https://bazel.build/external/advanced#overriding-repositories for
|
||
# information on --override_repository flag.
|
||
"--override_repository=xla=${xla}"
|
||
] ++ lib.optionals effectiveStdenv.cc.isClang [
|
||
# bazel depends on the compiler frontend automatically selecting these flags based on file
|
||
# extension but our clang doesn't.
|
||
# https://github.com/NixOS/nixpkgs/issues/150655
|
||
"--cxxopt=-x"
|
||
"--cxxopt=c++"
|
||
"--host_cxxopt=-x"
|
||
"--host_cxxopt=c++"
|
||
];
|
||
|
||
# We intentionally overfetch so we can share the fetch derivation across all the different configurations
|
||
fetchAttrs = {
|
||
TF_SYSTEM_LIBS = lib.concatStringsSep "," tf_system_libs;
|
||
# we have to force @mkl_dnn_v1 since it's not needed on darwin
|
||
bazelTargets = [ bazelRunTarget "@mkl_dnn_v1//:mkl_dnn" ];
|
||
bazelFlags = bazelFlags ++ [
|
||
"--config=avx_posix"
|
||
"--config=mkl_open_source_only"
|
||
] ++ lib.optionals cudaSupport [
|
||
# ideally we'd add this unconditionally too, but it doesn't work on darwin
|
||
# we make this conditional on `cudaSupport` instead of the system, so that the hash for both
|
||
# the cuda and the non-cuda deps can be computed on linux, since a lot of contributors don't
|
||
# have access to darwin machines
|
||
"--config=cuda"
|
||
];
|
||
|
||
sha256 = (if cudaSupport then {
|
||
x86_64-linux = "sha256-IEKoHjCOtKZKvU/DUUjbvXldORFJuyO1R3F6CZZDXxM=";
|
||
} else {
|
||
x86_64-linux = "sha256-IE4+Tk4llo85u3NjakvY04tPw4R1bidyecPpQ4gknR8=";
|
||
aarch64-linux = "sha256-NehnpA4m+Fynvh0S6WKy/v9ab81487NE9ahvbS70wjY=";
|
||
}).${effectiveStdenv.system} or (throw "jaxlib: unsupported system: ${effectiveStdenv.system}");
|
||
};
|
||
|
||
buildAttrs = {
|
||
outputs = [ "out" ];
|
||
|
||
TF_SYSTEM_LIBS = lib.concatStringsSep "," (tf_system_libs ++ lib.optionals (!effectiveStdenv.isDarwin) [
|
||
"nsync" # fails to build on darwin
|
||
]);
|
||
|
||
# Note: we cannot do most of this patching at `patch` phase as the deps
|
||
# are not available yet. Framework search paths aren't added by bintools
|
||
# hook. See https://github.com/NixOS/nixpkgs/pull/41914.
|
||
preBuild = lib.optionalString effectiveStdenv.isDarwin ''
|
||
export NIX_LDFLAGS+=" -F${IOKit}/Library/Frameworks"
|
||
substituteInPlace ../output/external/rules_cc/cc/private/toolchain/osx_cc_wrapper.sh.tpl \
|
||
--replace "/usr/bin/install_name_tool" "${cctools}/bin/install_name_tool"
|
||
substituteInPlace ../output/external/rules_cc/cc/private/toolchain/unix_cc_configure.bzl \
|
||
--replace "/usr/bin/libtool" "${cctools}/bin/libtool"
|
||
'';
|
||
};
|
||
|
||
inherit meta;
|
||
};
|
||
platformTag =
|
||
if effectiveStdenv.hostPlatform.isLinux then
|
||
"manylinux2014_${arch}"
|
||
else if effectiveStdenv.system == "x86_64-darwin" then
|
||
"macosx_10_9_${arch}"
|
||
else if effectiveStdenv.system == "aarch64-darwin" then
|
||
"macosx_11_0_${arch}"
|
||
else throw "Unsupported target platform: ${effectiveStdenv.hostPlatform}";
|
||
|
||
in
|
||
buildPythonPackage {
|
||
inherit meta pname version;
|
||
format = "wheel";
|
||
|
||
src =
|
||
let cp = "cp${builtins.replaceStrings ["."] [""] python.pythonVersion}";
|
||
in "${bazel-build}/jaxlib-${version}-${cp}-${cp}-${platformTag}.whl";
|
||
|
||
# Note that jaxlib looks for "ptxas" in $PATH. See https://github.com/NixOS/nixpkgs/pull/164176#discussion_r828801621
|
||
# for more info.
|
||
postInstall = lib.optionalString cudaSupport ''
|
||
mkdir -p $out/bin
|
||
ln -s ${cudaPackagesGoogle.cuda_nvcc.bin}/bin/ptxas $out/bin/ptxas
|
||
|
||
find $out -type f \( -name '*.so' -or -name '*.so.*' \) | while read lib; do
|
||
patchelf --add-rpath "${lib.makeLibraryPath [cuda_libs_joined cudnn nccl]}" "$lib"
|
||
done
|
||
'';
|
||
|
||
nativeBuildInputs = lib.optionals cudaSupport [ autoAddDriverRunpath ];
|
||
|
||
propagatedBuildInputs = [
|
||
absl-py
|
||
curl
|
||
double-conversion
|
||
flatbuffers
|
||
giflib
|
||
jsoncpp
|
||
libjpeg_turbo
|
||
ml-dtypes
|
||
numpy
|
||
scipy
|
||
six
|
||
snappy
|
||
];
|
||
|
||
pythonImportsCheck = [
|
||
"jaxlib"
|
||
# `import jaxlib` loads surprisingly little. These imports are actually bugs that appeared in the 0.4.11 upgrade.
|
||
"jaxlib.cpu_feature_guard"
|
||
"jaxlib.xla_client"
|
||
];
|
||
|
||
# Without it there are complaints about libcudart.so.11.0 not being found
|
||
# because RPATH path entries added above are stripped.
|
||
dontPatchELF = cudaSupport;
|
||
}
|