nixpkgs/pkgs/development/python-modules/ignite/default.nix
Artturin e0464e4788 treewide: replace stdenv.is with stdenv.hostPlatform.is
In preparation for the deprecation of `stdenv.isX`.

These shorthands are not conducive to cross-compilation because they
hide the platforms.

Darwin might get cross-compilation for which the continued usage of `stdenv.isDarwin` will get in the way

One example of why this is bad and especially affects compiler packages
https://www.github.com/NixOS/nixpkgs/pull/343059

There are too many files to go through manually but a treewide should
get users thinking when they see a `hostPlatform.isX` in a place where it
doesn't make sense.

```
fd --type f "\.nix" | xargs sd --fixed-strings "stdenv.is" "stdenv.hostPlatform.is"
fd --type f "\.nix" | xargs sd --fixed-strings "stdenv'.is" "stdenv'.hostPlatform.is"
fd --type f "\.nix" | xargs sd --fixed-strings "clangStdenv.is" "clangStdenv.hostPlatform.is"
fd --type f "\.nix" | xargs sd --fixed-strings "gccStdenv.is" "gccStdenv.hostPlatform.is"
fd --type f "\.nix" | xargs sd --fixed-strings "stdenvNoCC.is" "stdenvNoCC.hostPlatform.is"
fd --type f "\.nix" | xargs sd --fixed-strings "inherit (stdenv) is" "inherit (stdenv.hostPlatform) is"
fd --type f "\.nix" | xargs sd --fixed-strings "buildStdenv.is" "buildStdenv.hostPlatform.is"
fd --type f "\.nix" | xargs sd --fixed-strings "effectiveStdenv.is" "effectiveStdenv.hostPlatform.is"
fd --type f "\.nix" | xargs sd --fixed-strings "originalStdenv.is" "originalStdenv.hostPlatform.is"
```
2024-09-25 00:04:37 +03:00

103 lines
2.5 KiB
Nix

{
lib,
stdenv,
buildPythonPackage,
fetchFromGitHub,
pythonOlder,
setuptools,
pytestCheckHook,
pytest-xdist,
torchvision,
matplotlib,
mock,
packaging,
torch,
}:
buildPythonPackage rec {
pname = "ignite";
version = "0.5.1";
pyproject = true;
disabled = pythonOlder "3.8";
src = fetchFromGitHub {
owner = "pytorch";
repo = pname;
rev = "refs/tags/v${version}";
hash = "sha256-J0xrqAGwH0bAs59T7zA8irMWOGbE2+Zd9kwqxYUYYMA=";
};
build-system = [ setuptools ];
dependencies = [
packaging
torch
];
nativeCheckInputs = [
pytestCheckHook
matplotlib
mock
pytest-xdist
torchvision
];
# runs successfully in 3.9, however, async isn't correctly closed so it will fail after test suite.
doCheck = pythonOlder "3.9";
# Some packages are not in NixPkgs; other tests try to build distributed
# models, which doesn't work in the sandbox.
# avoid tests which need special packages
pytestFlagsArray = [
"--ignore=tests/ignite/contrib/handlers/test_clearml_logger.py"
"--ignore=tests/ignite/contrib/handlers/test_lr_finder.py"
"--ignore=tests/ignite/contrib/handlers/test_trains_logger.py"
"--ignore=tests/ignite/metrics/nlp/test_bleu.py"
"--ignore=tests/ignite/metrics/nlp/test_rouge.py"
"--ignore=tests/ignite/metrics/gan" # requires pytorch_fid; tries to download model to $HOME
"--ignore=tests/ignite/metrics/test_dill.py"
"--ignore=tests/ignite/metrics/test_psnr.py"
"--ignore=tests/ignite/metrics/test_ssim.py"
"tests/"
];
# disable tests which need specific packages
disabledTests = [
"idist"
"mlflow"
"tensorboard"
"test_gpu_info" # needs pynvml
"test_integration"
"test_output_handler" # needs mlflow
"test_pbar" # slight output differences
"test_setup_clearml_logging"
"test_setup_neptune"
"test_setup_plx"
"test_write_results"
"trains"
"visdom"
];
pythonImportsCheck = [
"ignite"
"ignite.engine"
"ignite.handlers"
"ignite.metrics"
"ignite.distributed"
"ignite.exceptions"
"ignite.utils"
"ignite.contrib"
];
meta = {
description = "High-level training library for PyTorch";
homepage = "https://pytorch-ignite.ai";
changelog = "https://github.com/pytorch/ignite/releases/tag/v${version}";
license = lib.licenses.bsd3;
maintainers = [ lib.maintainers.bcdarwin ];
# ModuleNotFoundError: No module named 'torch._C._distributed_c10d'; 'torch._C' is not a package
broken = stdenv.hostPlatform.isDarwin;
};
}