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{ lib
, blas
, buildPythonPackage
, callPackage
, setuptools
, importlib-metadata
, fetchFromGitHub
, jaxlib
, jaxlib-bin
, hypothesis
, lapack
, matplotlib
, ml-dtypes
, numpy
, opt-einsum
, pytestCheckHook
, pytest-xdist
, pythonOlder
, scipy
, stdenv
}:
let
usingMKL = blas.implementation == "mkl" || lapack.implementation == "mkl";
# jaxlib is broken on aarch64-* as of 2023-03-05, but the binary wheels work
# fine. jaxlib is only used in the checkPhase, so switching backends does not
# impact package behavior. Get rid of this once jaxlib is fixed on aarch64-*.
jaxlib' = if jaxlib.meta.broken then jaxlib-bin else jaxlib;
in
buildPythonPackage rec {
pname = "jax";
version = "0.4.25";
pyproject = true;
disabled = pythonOlder "3.9";
src = fetchFromGitHub {
owner = "google";
repo = "jax";
# google/jax contains tags for jax and jaxlib. Only use jax tags!
rev = "refs/tags/jaxlib-v${version}";
hash = "sha256-poQQo2ZgEhPYzK3aCs+BjaHTNZbezJAECd+HOdY1Yok=";
};
nativeBuildInputs = [
setuptools
];
# The version is automatically set to ".dev" if this variable is not set.
# https://github.com/google/jax/commit/e01f2617b85c5bdffc5ffb60b3d8d8ca9519a1f3
JAX_RELEASE = "1";
# jaxlib is _not_ included in propagatedBuildInputs because there are
# different versions of jaxlib depending on the desired target hardware. The
# JAX project ships separate wheels for CPU, GPU, and TPU.
propagatedBuildInputs = [
ml-dtypes
numpy
opt-einsum
scipy
] ++ lib.optional (pythonOlder "3.10") importlib-metadata;
nativeCheckInputs = [
hypothesis
jaxlib'
matplotlib
pytestCheckHook
pytest-xdist
];
# high parallelism will result in the tests getting stuck
dontUsePytestXdist = true;
# NOTE: Don't run the tests in the expiremental directory as they require flax
# which creates a circular dependency. See https://discourse.nixos.org/t/how-to-nix-ify-python-packages-with-circular-dependencies/14648/2.
# Not a big deal, this is how the JAX docs suggest running the test suite
# anyhow.
pytestFlagsArray = [
"--numprocesses=4"
"-W ignore::DeprecationWarning"
"tests/"
];
disabledTests = [
# Exceeds tolerance when the machine is busy
"test_custom_linear_solve_aux"
# UserWarning: Explicitly requested dtype <class 'numpy.float64'>
# requested in astype is not available, and will be truncated to
# dtype float32. (With numpy 1.24)
"testKde3"
"testKde5"
"testKde6"
# Invokes python manually in a subprocess, which does not have the correct dependencies
# ImportError: This version of jax requires jaxlib version >= 0.4.19.
"test_no_log_spam"
] ++ lib.optionals usingMKL [
# See
# * https://github.com/google/jax/issues/9705
# * https://discourse.nixos.org/t/getting-different-results-for-the-same-build-on-two-equally-configured-machines/17921
# * https://github.com/NixOS/nixpkgs/issues/161960
"test_custom_linear_solve_cholesky"
"test_custom_root_with_aux"
"testEigvalsGrad_shape"
] ++ lib.optionals stdenv.isAarch64 [
# See https://github.com/google/jax/issues/14793.
"test_for_loop_fixpoint_correctly_identifies_loop_varying_residuals_unrolled_for_loop"
"testQdwhWithRandomMatrix3"
"testScanGrad_jit_scan"
# See https://github.com/google/jax/issues/17867.
"test_array"
"test_async"
"test_copy0"
"test_device_put"
"test_make_array_from_callback"
"test_make_array_from_single_device_arrays"
# Fails on some hardware due to some numerical error
# See https://github.com/google/jax/issues/18535
"testQdwhWithOnRankDeficientInput5"
];
disabledTestPaths = lib.optionals (stdenv.isDarwin && stdenv.isAarch64) [
# RuntimeWarning: invalid value encountered in cast
"tests/lax_test.py"
];
pythonImportsCheck = [ "jax" ];
# Test CUDA-enabled jax and jaxlib. Running CUDA-enabled tests is not
# currently feasible within the nix build environment so we have to maintain
# this script separately. See https://github.com/NixOS/nixpkgs/pull/256230
# for a possible remedy to this situation.
#
# Run these tests with eg
#
# NIXPKGS_ALLOW_UNFREE=1 nixglhost -- nix run --impure .#python3Packages.jax.passthru.tests.test_cuda_jaxlibBin
passthru.tests = {
test_cuda_jaxlibSource = callPackage ./test-cuda.nix {
jaxlib = jaxlib.override { cudaSupport = true; };
};
test_cuda_jaxlibBin = callPackage ./test-cuda.nix {
jaxlib = jaxlib-bin.override { cudaSupport = true; };
};
};
meta = with lib; {
description = "Differentiate, compile, and transform Numpy code";
homepage = "https://github.com/google/jax";
license = licenses.asl20;
maintainers = with maintainers; [ samuela ];
};
}
|