Set PYTHONWARNINGS=error in bazel tests.

The goal of this change is to catch PRs that introduce new warnings sooner.

To help pass the environment variable more easily, rename the jax_test Bazel test macro to jax_multiplatform_test, and introduce a new jax_py_test macro that wraps py_test. Add code to both to set the environment variable.

Add code to suppress some new warnings uncovered in CI.

PiperOrigin-RevId: 678352286

benchmarks/mosaic/BUILD

@@ -15,7 +15,7 @@
 load(
     "//jaxlib:jax.bzl",
     "jax_generate_backend_suites",
-    "jax_test",
+    "jax_multiplatform_test",
     "py_deps",
 )
 
@@ -42,7 +42,7 @@ DISABLED_CONFIGS = [
     "gpu_pjrt_c_api",
 ]
 
-jax_test(
+jax_multiplatform_test(
     name = "matmul_bench",
     srcs = ["matmul_bench.py"],
     disable_backends = DISABLED_BACKENDS,

docs/cuda_custom_call/BUILD

@@ -16,7 +16,7 @@ load(
     "//jaxlib:jax.bzl",
     "cuda_library",
     "jax_generate_backend_suites",
-    "jax_test",
+    "jax_multiplatform_test",
 )
 
 licenses(["notice"])
@@ -28,7 +28,7 @@ package(
 
 jax_generate_backend_suites()
 
-jax_test(
+jax_multiplatform_test(
     name = "cuda_custom_call_test",
     srcs = ["cuda_custom_call_test.py"],
     data = [":foo"],

jax/experimental/jax2tf/examples/keras_reuse_main.py

@@ -18,13 +18,16 @@ Includes the flags from saved_model_main.py.
 See README.md.
 """
 import logging
+import warnings
 from absl import app
 from absl import flags
 from jax.experimental.jax2tf.examples import mnist_lib
 from jax.experimental.jax2tf.examples import saved_model_main
 import tensorflow as tf
 import tensorflow_datasets as tfds  # type: ignore
-import tensorflow_hub as hub  # type: ignore
+with warnings.catch_warnings():
+  warnings.simplefilter("ignore")
+  import tensorflow_hub as hub  # type: ignore
 
 
 FLAGS = flags.FLAGS

jax/experimental/jax2tf/examples/keras_reuse_main_test.py

@@ -41,6 +41,7 @@ class KerasReuseMainTest(tf_test_util.JaxToTfTestCase):
   @parameterized.named_parameters(
       dict(testcase_name=f"_{model}", model=model)
       for model in ["mnist_pure_jax", "mnist_flax"])
+  @jtu.ignore_warning(message="the imp module is deprecated")
   def test_keras_reuse(self, model="mnist_pure_jax"):
     FLAGS.model = model
     keras_reuse_main.main(None)

jax/experimental/jax2tf/examples/mnist_lib.py

@@ -27,6 +27,7 @@ import logging
 import re
 import time
 from typing import Any
+import warnings
 from absl import flags
 
 import flax
@@ -70,7 +71,9 @@ def load_mnist(split: tfds.Split, batch_size: int):
   if _MOCK_DATA.value:
     with tfds.testing.mock_data(num_examples=batch_size):
       try:
-        ds = tfds.load("mnist", split=split)
+        with warnings.catch_warnings():
+          warnings.simplefilter("ignore")
+          ds = tfds.load("mnist", split=split)
       except Exception as e:
         m = re.search(r'metadata files were not found in (.+/)mnist/', str(e))
         if m:

jax/experimental/jax2tf/tests/call_tf_test.py

@@ -88,6 +88,17 @@ class CallTfTest(tf_test_util.JaxToTfTestCase):
     # bug in TensorFlow.
     _ = tf.add(1, 1)
     super().setUp()
+    self.warning_ctx = jtu.ignore_warning(
+        message=(
+            "(jax2tf.convert with native_serialization=False is deprecated"
+            "|Calling from_dlpack with a DLPack tensor is deprecated)"
+        )
+    )
+    self.warning_ctx.__enter__()
+
+  def tearDown(self):
+    self.warning_ctx.__exit__(None, None, None)
+    super().tearDown()
 
   @_parameterized_jit
   def test_eval_scalar_arg(self, with_jit=True):
@@ -862,6 +873,7 @@ class CallTfTest(tf_test_util.JaxToTfTestCase):
 
 class RoundTripToJaxTest(tf_test_util.JaxToTfTestCase):
   "Reloading output of jax2tf into JAX with call_tf"
+
   def setUp(self):
     if tf is None:
       raise unittest.SkipTest("Test requires tensorflow")
@@ -869,6 +881,17 @@ class RoundTripToJaxTest(tf_test_util.JaxToTfTestCase):
     # bug in TensorFlow.
     _ = tf.add(1, 1)
     super().setUp()
+    self.warning_ctx = jtu.ignore_warning(
+        message=(
+            "(jax2tf.convert with native_serialization=False is deprecated"
+            "|Calling from_dlpack with a DLPack tensor is deprecated)"
+        )
+    )
+    self.warning_ctx.__enter__()
+
+  def tearDown(self):
+    self.warning_ctx.__exit__(None, None, None)
+    super().tearDown()
 
   def test_simple(self):
     f_jax = jnp.sin
@@ -1157,6 +1180,17 @@ class RoundTripToTfTest(tf_test_util.JaxToTfTestCase):
     # bug in TensorFlow.
     _ = tf.add(1, 1)
     super().setUp()
+    self.warning_ctx = jtu.ignore_warning(
+        message=(
+            "(jax2tf.convert with native_serialization=False is deprecated"
+            "|Calling from_dlpack with a DLPack tensor is deprecated)"
+        )
+    )
+    self.warning_ctx.__enter__()
+
+  def tearDown(self):
+    self.warning_ctx.__exit__(None, None, None)
+    super().tearDown()
 
   def test_alternate(self):
     # Alternate sin/cos with sin in TF and cos in JAX

jax/experimental/jax2tf/tests/jax2tf_test.py

@@ -76,6 +76,17 @@ class Jax2TfTest(tf_test_util.JaxToTfTestCase):
 
     super().setUpClass()
 
+  def setUp(self):
+    super().setUp()
+    self.warning_ctx = jtu.ignore_warning(
+        message="jax2tf.convert with native_serialization=False is deprecated"
+    )
+    self.warning_ctx.__enter__()
+
+  def tearDown(self):
+    self.warning_ctx.__exit__(None, None, None)
+    super().tearDown()
+
   def test_empty(self):
     f_jax = lambda x, y: x
     self.ConvertAndCompare(f_jax, 0.7, 1)
@@ -1621,6 +1632,8 @@ class Jax2TfTest(tf_test_util.JaxToTfTestCase):
     res = jax2tf.convert(f_jax, native_serialization=True)(*many_args)
     self.assertAllClose(f_jax(*many_args), res)
 
+  @jtu.ignore_warning(message="Calling from_dlpack with a DLPack tensor",
+                      category=DeprecationWarning)
   def test_nested_convert(self):
     # Test call sequence: convert -> call_tf -> convert.
 
@@ -1677,6 +1690,17 @@ class Jax2TfTest(tf_test_util.JaxToTfTestCase):
 
 @jtu.with_config(jax_enable_custom_prng=True)
 class Jax2tfWithCustomPRNGTest(tf_test_util.JaxToTfTestCase):
+  def setUp(self):
+    super().setUp()
+    self.warning_ctx = jtu.ignore_warning(
+        message="jax2tf.convert with native_serialization=False is deprecated"
+    )
+    self.warning_ctx.__enter__()
+
+  def tearDown(self):
+    self.warning_ctx.__exit__(None, None, None)
+    super().tearDown()
+
   def test_key_argument(self):
     func = lambda key: jax.random.uniform(key, ())
     key = jax.random.PRNGKey(0)
@@ -1709,6 +1733,9 @@ class Jax2TfVersioningTest(tf_test_util.JaxToTfTestCase):
     self.use_max_serialization_version = False
     super().setUp()
 
+  @jtu.ignore_warning(
+      message="jax2tf.convert with native_serialization=False is deprecated"
+  )
   def test_simple(self):
     self.ConvertAndCompare(jnp.sin, 0.7)
 

jax/experimental/jax2tf/tests/savedmodel_test.py

@@ -30,6 +30,17 @@ jax.config.parse_flags_with_absl()
 
 class SavedModelTest(tf_test_util.JaxToTfTestCase):
 
+  def setUp(self):
+    super().setUp()
+    self.warning_ctx = jtu.ignore_warning(
+        message="jax2tf.convert with native_serialization=False is deprecated"
+    )
+    self.warning_ctx.__enter__()
+
+  def tearDown(self):
+    self.warning_ctx.__exit__(None, None, None)
+    super().tearDown()
+
   def test_eval(self):
     f_jax = jax.jit(lambda x: jnp.sin(jnp.cos(x)))
     model = tf.Module()

jax/experimental/jax2tf/tests/shape_poly_test.py

@@ -334,7 +334,6 @@ class ShapePolyTest(tf_test_util.JaxToTfTestCase):
       check_shape_poly(self, f_jax, arg_descriptors=[x],
                        polymorphic_shapes=["b"])
 
-
   @jtu.parameterized_filterable(
     kwargs=[
       dict(testcase_name=f"expr={name}", expr=expr)
@@ -941,7 +940,7 @@ class ShapePolyTest(tf_test_util.JaxToTfTestCase):
     xi_yf = (xi, yf)
     zb = np.array([True, False], dtype=np.bool_)
     def f_jax(xi_yf, zb):  # xi: s16[2, 3, 4], yf: f32[2, 3, 4], zb: bool[2]
-                           # results: f32[2, 3, 4], s16[2, 3, 4], bool[2], f32[2, 3, 4]
+      # results: f32[2, 3, 4], s16[2, 3, 4], bool[2], f32[2, 3, 4]
       xi, yf = xi_yf
       # Return a tuple:
       #   (1) float constant, with 0 tangent;
@@ -1032,6 +1031,9 @@ class ShapePolyTest(tf_test_util.JaxToTfTestCase):
         f_tf, input_signature=[tf.TensorSpec([None], x.dtype)])
     self.assertAllClose(f_jax(x), restored_f(x))
 
+  @jtu.ignore_warning(
+      message="jax2tf.convert with native_serialization=False is deprecated"
+  )
   def test_readme_examples(self):
     """Some of the examples from the README."""
 

jax/experimental/jax2tf/tests/sharding_test.py

@@ -61,7 +61,8 @@ def setUpModule():
 
   global topology
   if jtu.test_device_matches(["tpu"]):
-    resolver = tf.distribute.cluster_resolver.TPUClusterResolver(tpu='')
+    with jtu.ignore_warning(message="the imp module is deprecated"):
+      resolver = tf.distribute.cluster_resolver.TPUClusterResolver(tpu='')
     tf.config.experimental_connect_to_cluster(resolver)
     # Do TPU init at beginning since it will wipe out all HBMs.
     topology = tf.tpu.experimental.initialize_tpu_system(resolver)
@@ -84,6 +85,15 @@ class ShardingTest(tf_test_util.JaxToTfTestCase):
       raise unittest.SkipTest("Test requires at least 2 local devices")
     self.devices = np.array(jax.devices()[:2])  # use 2 devices
 
+    self.warning_ctx = jtu.ignore_warning(
+        message="jax2tf.convert with native_serialization=False is deprecated"
+    )
+    self.warning_ctx.__enter__()
+
+  def tearDown(self):
+    self.warning_ctx.__exit__(None, None, None)
+    super().tearDown()
+
   def log_jax_hlo(self, f_jax, args: Sequence[Any], *,
                   num_replicas=1, num_partitions=2):
     """Log the HLO generated from JAX before and after optimizations"""

jax/experimental/mosaic/gpu/examples/BUILD

@@ -12,8 +12,8 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-load("@rules_python//python:defs.bzl", "py_library", "py_test")
+load("@rules_python//python:defs.bzl", "py_library")
-load("//jaxlib:jax.bzl", "py_deps")
+load("//jaxlib:jax.bzl", "jax_py_test", "py_deps")
 
 licenses(["notice"])
 
@@ -48,7 +48,7 @@ py_library(
     ],
 )
 
-py_test(
+jax_py_test(
     name = "run_matmul",
     srcs = ["matmul.py"],
     main = "matmul.py",

jaxlib/jax.bzl

@@ -19,6 +19,7 @@ load("@local_config_cuda//cuda:build_defs.bzl", _cuda_library = "cuda_library",
 load("@local_config_rocm//rocm:build_defs.bzl", _if_rocm_is_configured = "if_rocm_is_configured", _rocm_library = "rocm_library")
 load("@python_version_repo//:py_version.bzl", "HERMETIC_PYTHON_VERSION")
 load("@rules_cc//cc:defs.bzl", _cc_proto_library = "cc_proto_library")
+load("@rules_python//python:defs.bzl", "py_test")
 load("@tsl//tsl/platform:build_config_root.bzl", _tf_cuda_tests_tags = "tf_cuda_tests_tags", _tf_exec_properties = "tf_exec_properties")
 load("@xla//xla/tsl:tsl.bzl", _if_windows = "if_windows", _pybind_extension = "tsl_pybind_extension_opensource")
 
@@ -222,7 +223,7 @@ def if_building_jaxlib(
     })
 
 # buildifier: disable=function-docstring
-def jax_test(
+def jax_multiplatform_test(
         name,
         srcs,
         args = [],
@@ -300,3 +301,12 @@ jax_test_file_visibility = []
 
 def xla_py_proto_library(*args, **kw):  # buildifier: disable=unused-variable
     pass
+
+def jax_py_test(
+        name,
+        env = {},
+        **kwargs):
+    env = dict(env)
+    if "PYTHONWARNINGS" not in env:
+        env["PYTHONWARNINGS"] = "error"
+    py_test(name = name, env = env, **kwargs)

jaxlib/tools/BUILD.bazel

@@ -16,7 +16,7 @@
 
 load("@local_config_cuda//cuda:build_defs.bzl", "if_cuda")
 load("@local_config_rocm//rocm:build_defs.bzl", "if_rocm")
-load("//jaxlib:jax.bzl", "if_windows")
+load("//jaxlib:jax.bzl", "if_windows", "jax_py_test")
 
 licenses(["notice"])  # Apache 2
 
@@ -52,7 +52,7 @@ py_binary(
     ],
 )
 
-py_test(
+jax_py_test(
     name = "build_wheel_test",
     srcs = ["build_wheel_test.py"],
     data = [":build_wheel"],

pyproject.toml

@@ -60,6 +60,11 @@ filterwarnings = [
     "default:Special cases found for .* but none were parsed.*:UserWarning",
     "default:.*is not JSON-serializable. Using the repr instead.*:UserWarning",
     "default:The .* method is good for exploring strategies.*",
+
+    # NOTE: this is probably not where you want to add code to suppress a
+    # warning. Only pytest tests look at this list, whereas Bazel tests also
+    # check for warnings and do not check this list. Most likely, you should
+    # add a @jtu.ignore_warning decorator to your test instead.
 ]
 doctest_optionflags = [
     "NUMBER",

tests/array_interoperability_test.py

@@ -75,6 +75,8 @@ class DLPackTest(jtu.JaxTestCase):
     use_stream=[False, True],
   )
   @jtu.run_on_devices("gpu")
+  @jtu.ignore_warning(message="Calling from_dlpack with a DLPack tensor",
+                      category=DeprecationWarning)
   def testJaxRoundTrip(self, shape, dtype, copy, use_stream):
     rng = jtu.rand_default(self.rng())
     np = rng(shape, dtype)
@@ -142,6 +144,8 @@ class DLPackTest(jtu.JaxTestCase):
     dtype=dlpack_dtypes,
   )
   @unittest.skipIf(not tf, "Test requires TensorFlow")
+  @jtu.ignore_warning(message="Calling from_dlpack with a DLPack tensor",
+                      category=DeprecationWarning)
   def testTensorFlowToJax(self, shape, dtype):
     if (not config.enable_x64.value and
         dtype in [jnp.int64, jnp.uint64, jnp.float64]):
@@ -184,6 +188,8 @@ class DLPackTest(jtu.JaxTestCase):
     self.assertAllClose(np, y.numpy())
 
   @unittest.skipIf(not tf, "Test requires TensorFlow")
+  @jtu.ignore_warning(message="Calling from_dlpack with a DLPack tensor",
+                      category=DeprecationWarning)
   def testTensorFlowToJaxInt64(self):
     # See https://github.com/jax-ml/jax/issues/11895
     x = jax.dlpack.from_dlpack(

tests/host_callback_to_tf_test.py

@@ -176,6 +176,8 @@ class CallToTFTest(jtu.JaxTestCase):
           testcase_name=f"_{ad=}",
           ad=ad)
       for ad in CALL_TF_IMPLEMENTATIONS.keys())
+  @jtu.ignore_warning(message="The host_callback APIs are deprecated",
+                      category=DeprecationWarning)
   def test_impl(self, ad="simple"):
     self.supported_only_in_legacy_mode()
     call_tf = CALL_TF_IMPLEMENTATIONS[ad]
@@ -197,6 +199,8 @@ class CallToTFTest(jtu.JaxTestCase):
           ad=ad)
       for ad in CALL_TF_IMPLEMENTATIONS.keys()
       if ad != "none")
+  @jtu.ignore_warning(message="The host_callback APIs are deprecated",
+                      category=DeprecationWarning)
   def test_grad(self, ad="simple"):
     self.supported_only_in_legacy_mode()
     call_tf = CALL_TF_IMPLEMENTATIONS[ad]
@@ -217,6 +221,8 @@ class CallToTFTest(jtu.JaxTestCase):
     self.assertAllClose(jax.grad(f_jax)(x), grad_f,
                         check_dtypes=False)
 
+  @jtu.ignore_warning(message="The host_callback APIs are deprecated",
+                      category=DeprecationWarning)
   def test_grad_pytree(self):
     self.supported_only_in_legacy_mode()
     call_tf = call_tf_full_ad
@@ -246,6 +252,8 @@ class CallToTFTest(jtu.JaxTestCase):
           testcase_name=f"_degree=_{degree}",
           degree=degree)
       for degree in [1, 2, 3, 4])
+  @jtu.ignore_warning(message="The host_callback APIs are deprecated",
+                      category=DeprecationWarning)
   def test_higher_order_grad(self, degree=4):
     self.supported_only_in_legacy_mode()
     call_tf = call_tf_full_ad

tests/lax_numpy_test.py

@@ -2681,6 +2681,7 @@ class LaxBackedNumpyTests(jtu.JaxTestCase):
       shape=all_shapes,
       dtype=default_dtypes,
   )
+  @jtu.ignore_warning(category=RuntimeWarning, message="overflow")
   def testFrexp(self, shape, dtype, rng_factory):
     # integer types are converted to float64 in numpy's implementation
     if (dtype not in [jnp.bfloat16, np.float16, np.float32]
@@ -6270,7 +6271,8 @@ def _dtypes_for_ufunc(name: str) -> Iterator[tuple[str, ...]]:
   for arg_dtypes in itertools.product(_available_numpy_dtypes, repeat=func.nin):
     args = (np.ones(1, dtype=dtype) for dtype in arg_dtypes)
     try:
-      with jtu.ignore_warning(category=RuntimeWarning, message="divide by zero"):
+      with jtu.ignore_warning(
+          category=RuntimeWarning, message="(divide by zero|invalid value)"):
         _ = func(*args)
     except TypeError:
       pass
@@ -6292,7 +6294,7 @@ class NumpyUfuncTests(jtu.JaxTestCase):
     jnp_op = getattr(jnp, name)
     np_op = getattr(np, name)
     np_op = jtu.ignore_warning(category=RuntimeWarning,
-                               message="divide by zero.*")(np_op)
+                               message="(divide by zero|invalid value)")(np_op)
     args_maker = lambda: tuple(np.ones(1, dtype=dtype) for dtype in arg_dtypes)
 
     with jtu.strict_promotion_if_dtypes_match(arg_dtypes):

tests/lax_test.py

@@ -110,6 +110,7 @@ class LaxTest(jtu.JaxTestCase):
           for shape_group in lax_test_util.compatible_shapes),
         dtype=rec.dtypes)
       for rec in lax_test_util.lax_ops()))
+  @jtu.ignore_warning(message="invalid value", category=RuntimeWarning)
   def testOpAgainstNumpy(self, op_name, rng_factory, shapes, dtype, tol):
     if (not config.enable_x64.value and op_name == "nextafter"
         and dtype == np.float64):

tests/mosaic/BUILD

@@ -15,7 +15,7 @@
 load(
     "//jaxlib:jax.bzl",
     "jax_generate_backend_suites",
-    "jax_test",
+    "jax_multiplatform_test",
     "py_deps",
 )
 
@@ -43,7 +43,7 @@ DISABLED_CONFIGS = [
     "gpu",
 ]
 
-jax_test(
+jax_multiplatform_test(
     name = "gpu_test",
     srcs = ["gpu_test.py"],
     config_tags_overrides = {
@@ -63,7 +63,7 @@ jax_test(
     ] + py_deps("absl/testing") + py_deps("numpy"),
 )
 
-jax_test(
+jax_multiplatform_test(
     name = "matmul_test",
     srcs = ["matmul_test.py"],
     disable_backends = DISABLED_BACKENDS,
@@ -75,7 +75,7 @@ jax_test(
     ] + py_deps("absl/testing") + py_deps("numpy") + py_deps("hypothesis"),
 )
 
-jax_test(
+jax_multiplatform_test(
     name = "flash_attention",
     srcs = ["//jax/experimental/mosaic/gpu/examples:flash_attention.py"],
     disable_backends = DISABLED_BACKENDS,
@@ -87,7 +87,7 @@ jax_test(
     ] + py_deps("numpy"),
 )
 
-jax_test(
+jax_multiplatform_test(
     name = "flash_attention_test",
     srcs = ["flash_attention_test.py"],
     disable_backends = DISABLED_BACKENDS,

tests/mosaic/gpu_test.py

@@ -1200,6 +1200,8 @@ class FragmentedArrayTest(TestCase):
       m=(64, 128),
       n=(8, 16, 32, 64, 80, 128, 256),
   )
+  @jtu.ignore_warning(message="(invalid value|divide by zero)",
+                      category=RuntimeWarning)
   def test_binary(self, op, dtype, m=64, n=32):
     if isinstance(op, tuple):
       op, np_op = op
@@ -1294,6 +1296,7 @@ class FragmentedArrayTest(TestCase):
       ],
       approx=[False, True],
   )
+  @jtu.ignore_warning(message="overflow encountered", category=RuntimeWarning)
   def test_math(self, ops, approx, m=64, n=32):
     op, np_op = ops
     def kernel(ctx, dst, _):

tests/pallas/BUILD

@@ -15,7 +15,7 @@
 load(
     "//jaxlib:jax.bzl",
     "jax_generate_backend_suites",
-    "jax_test",
+    "jax_multiplatform_test",
     "py_deps",
 )
 
@@ -28,7 +28,7 @@ package(
 
 jax_generate_backend_suites()
 
-jax_test(
+jax_multiplatform_test(
     name = "pallas_test",
     srcs = [
         "pallas_test.py",
@@ -62,7 +62,7 @@ jax_test(
     ] + py_deps("absl/testing") + py_deps("numpy"),
 )
 
-jax_test(
+jax_multiplatform_test(
     name = "pallas_jumble_test",
     srcs = [
         "pallas_jumble_test.py",
@@ -85,7 +85,7 @@ jax_test(
     ] + py_deps("absl/testing") + py_deps("numpy"),
 )
 
-jax_test(
+jax_multiplatform_test(
     name = "ops_test",
     srcs = [
         "ops_test.py",
@@ -125,7 +125,7 @@ jax_test(
     ] + py_deps("absl/testing") + py_deps("hypothesis") + py_deps("numpy"),
 )
 
-jax_test(
+jax_multiplatform_test(
     name = "indexing_test",
     srcs = [
         "indexing_test.py",
@@ -144,7 +144,7 @@ jax_test(
     ] + py_deps("absl/testing") + py_deps("hypothesis") + py_deps("numpy"),
 )
 
-jax_test(
+jax_multiplatform_test(
     name = "pallas_vmap_test",
     srcs = [
         "pallas_vmap_test.py",
@@ -176,7 +176,7 @@ jax_test(
     ] + py_deps("absl/testing") + py_deps("numpy"),
 )
 
-jax_test(
+jax_multiplatform_test(
     name = "mosaic_gpu_test",
     srcs = [
         "mosaic_gpu_test.py",
@@ -213,7 +213,7 @@ jax_test(
     ] + py_deps("absl/testing") + py_deps("numpy"),
 )
 
-jax_test(
+jax_multiplatform_test(
     name = "export_back_compat_pallas_test",
     srcs = ["export_back_compat_pallas_test.py"],
     config_tags_overrides = {
@@ -244,7 +244,7 @@ jax_test(
     ],
 )
 
-jax_test(
+jax_multiplatform_test(
     name = "export_pallas_test",
     srcs = ["export_pallas_test.py"],
     config_tags_overrides = {
@@ -272,7 +272,7 @@ jax_test(
     ],
 )
 
-jax_test(
+jax_multiplatform_test(
     name = "pallas_shape_poly_test",
     srcs = ["pallas_shape_poly_test.py"],
     config_tags_overrides = {
@@ -299,7 +299,7 @@ jax_test(
     ],
 )
 
-jax_test(
+jax_multiplatform_test(
     name = "pallas_error_handling_test",
     srcs = [
         "pallas_error_handling_test.py",
@@ -317,7 +317,7 @@ jax_test(
     ] + py_deps("numpy"),
 )
 
-jax_test(
+jax_multiplatform_test(
     name = "tpu_all_gather_test",
     srcs = [
         "tpu_all_gather_test.py",
@@ -331,7 +331,7 @@ jax_test(
     ] + py_deps("absl/testing") + py_deps("numpy") + py_deps("hypothesis"),
 )
 
-jax_test(
+jax_multiplatform_test(
     name = "tpu_gmm_test",
     srcs = [
         "tpu_gmm_test.py",
@@ -356,7 +356,7 @@ jax_test(
     ]),
 )
 
-jax_test(
+jax_multiplatform_test(
     name = "tpu_pallas_test",
     srcs = ["tpu_pallas_test.py"],
     # The flag is necessary for ``pl.debug_print`` tests to work on TPU.
@@ -372,7 +372,7 @@ jax_test(
     ],
 )
 
-jax_test(
+jax_multiplatform_test(
     name = "tpu_ops_test",
     srcs = [
         "tpu_ops_test.py",
@@ -388,7 +388,7 @@ jax_test(
     ] + py_deps("absl/testing") + py_deps("hypothesis") + py_deps("numpy"),
 )
 
-jax_test(
+jax_multiplatform_test(
     name = "tpu_pallas_distributed_test",
     srcs = ["tpu_pallas_distributed_test.py"],
     disable_backends = [
@@ -402,7 +402,7 @@ jax_test(
     ],
 )
 
-jax_test(
+jax_multiplatform_test(
     name = "tpu_pallas_pipeline_test",
     srcs = ["tpu_pallas_pipeline_test.py"],
     disable_backends = [
@@ -422,7 +422,7 @@ jax_test(
     ] + py_deps("hypothesis"),
 )
 
-jax_test(
+jax_multiplatform_test(
     name = "tpu_pallas_async_test",
     srcs = ["tpu_pallas_async_test.py"],
     disable_backends = [
@@ -436,7 +436,7 @@ jax_test(
     ],
 )
 
-jax_test(
+jax_multiplatform_test(
     name = "tpu_pallas_mesh_test",
     srcs = ["tpu_pallas_mesh_test.py"],
     disable_backends = [
@@ -454,7 +454,7 @@ jax_test(
     ],
 )
 
-jax_test(
+jax_multiplatform_test(
     name = "tpu_pallas_random_test",
     srcs = [
         "tpu_pallas_random_test.py",
@@ -472,7 +472,7 @@ jax_test(
     ] + py_deps("numpy"),
 )
 
-jax_test(
+jax_multiplatform_test(
     name = "tpu_paged_attention_kernel_test",
     srcs = ["tpu_paged_attention_kernel_test.py"],
     disable_backends = [
@@ -490,7 +490,7 @@ jax_test(
     ] + py_deps("absl/testing") + py_deps("numpy"),
 )
 
-jax_test(
+jax_multiplatform_test(
     name = "tpu_splash_attention_kernel_test",
     srcs = [
         "tpu_splash_attention_kernel_test.py",
@@ -510,7 +510,7 @@ jax_test(
     ] + py_deps("absl/testing") + py_deps("numpy") + py_deps("hypothesis"),
 )
 
-jax_test(
+jax_multiplatform_test(
     name = "tpu_splash_attention_mask_test",
     srcs = [
         "tpu_splash_attention_mask_test.py",
@@ -523,7 +523,7 @@ jax_test(
     ] + py_deps("absl/testing") + py_deps("numpy") + py_deps("hypothesis"),
 )
 
-jax_test(
+jax_multiplatform_test(
     name = "gpu_attention_test",
     srcs = [
         "gpu_attention_test.py",
@@ -556,7 +556,7 @@ jax_test(
     ] + py_deps("absl/testing") + py_deps("numpy"),
 )
 
-jax_test(
+jax_multiplatform_test(
     name = "gpu_ops_test",
     srcs = [
         "gpu_ops_test.py",

tests/pmap_test.py

@@ -3209,8 +3209,12 @@ class EagerPmapMixin:
     self.jit_disabled = config.disable_jit.value
     config.update('jax_disable_jit', True)
     config.update('jax_eager_pmap', True)
+    self.warning_ctx = jtu.ignore_warning(
+        message="Some donated buffers were not usable", category=UserWarning)
+    self.warning_ctx.__enter__()
 
   def tearDown(self):
+    self.warning_ctx.__exit__(None, None, None)
     config.update('jax_eager_pmap', self.eager_pmap_enabled)
     config.update('jax_disable_jit', self.jit_disabled)
     super().tearDown()

tests/pytorch_interoperability_test.py

@@ -108,6 +108,8 @@ class DLPackTest(jtu.JaxTestCase):
       else:
         self.assertAllClose(np, y.cpu().numpy())
 
+  @jtu.ignore_warning(message="Calling from_dlpack with a DLPack tensor",
+                      category=DeprecationWarning)
   def testTorchToJaxInt64(self):
     # See https://github.com/jax-ml/jax/issues/11895
     x = jax.dlpack.from_dlpack(
@@ -116,6 +118,8 @@ class DLPackTest(jtu.JaxTestCase):
     self.assertEqual(x.dtype, dtype_expected)
 
   @jtu.sample_product(shape=all_shapes, dtype=torch_dtypes)
+  @jtu.ignore_warning(message="Calling from_dlpack with a DLPack tensor",
+                      category=DeprecationWarning)
   def testTorchToJax(self, shape, dtype):
     if not config.enable_x64.value and dtype in [
         jnp.int64,

tests/sparse_bcoo_bcsr_test.py

@@ -973,6 +973,7 @@ class BCOOTest(sptu.SparseTestCase):
     self.assertArraysAllClose(out.todense(), expected_out)
     self.assertEqual(out.nse, expected_nse)
 
+  @jtu.ignore_warning(message="bcoo_dot_general cusparse/hipsparse lowering not available")
   def test_bcoo_spdot_general_ad_bug(self):
     # Regression test for https://github.com/jax-ml/jax/issues/10163
     A_indices = jnp.array([[0, 1], [0, 2], [1, 1], [1, 2], [1, 0]])