conftest.py

import os

# When using jax.experimental.enable_x64 in unit test, we want to keep the
# default dtype with 32 bits, aligning it with keras.src's default.
os.environ["JAX_DEFAULT_DTYPE_BITS"] = "32"

try:
    # When using torch and tensorflow, torch needs to be imported first,
    # otherwise it will segfault upon import. This should force the torch
    # import to happen first for all tests.
    import torch  # noqa: F401
except ImportError:
    pass

import pytest  # noqa: E402
from keras.src.backend import backend  # noqa: E402


def pytest_configure(config):
    config.addinivalue_line(
        "markers",
        "requires_trainable_backend: mark test for trainable backend only",
    )


def pytest_collection_modifyitems(config, items):
    requires_trainable_backend = pytest.mark.skipif(
        backend() == "numpy",
        reason="Trainer not implemented for NumPy backend.",
    )
    for item in items:
        if "requires_trainable_backend" in item.keywords:
            item.add_marker(requires_trainable_backend)