Fix torch gpu CI

.kokoro/github/ubuntu/gpu/build.sh

@@ -74,7 +74,6 @@ then
 
    # TODO: keras/src/export/export_lib_test.py update LD_LIBRARY_PATH 
    pytest keras --ignore keras/src/applications \
-               --ignore keras/src/export/export_lib_test.py \
                --cov=keras \
                --cov-config=pyproject.toml
 

keras/src/export/export_lib_test.py

@@ -57,6 +57,9 @@ def get_model(type="sequential", input_shape=(10,), layer_list=None):
     ),
 )
 @pytest.mark.skipif(testing.jax_uses_gpu(), reason="Leads to core dumps on CI")
+@pytest.mark.skipif(
+    testing.torch_uses_gpu(), reason="Leads to core dumps on CI"
+)
 class ExportSavedModelTest(testing.TestCase):
     @parameterized.named_parameters(
         named_product(model_type=["sequential", "functional", "subclass"])
@@ -344,6 +347,9 @@ def test_jax_specific_kwargs(self, model_type, is_static, jax2tf_kwargs):
     reason="Export only currently supports the TF and JAX backends.",
 )
 @pytest.mark.skipif(testing.jax_uses_gpu(), reason="Leads to core dumps on CI")
+@pytest.mark.skipif(
+    testing.torch_uses_gpu(), reason="Leads to core dumps on CI"
+)
 class ExportArchiveTest(testing.TestCase):
     @parameterized.named_parameters(
         named_product(model_type=["sequential", "functional", "subclass"])

keras/src/models/model_test.py

@@ -1229,6 +1229,9 @@ def test_functional_deeply_nested_outputs_struct_losses(self):
     @pytest.mark.skipif(
         testing.jax_uses_gpu(), reason="Leads to core dumps on CI"
     )
+    @pytest.mark.skipif(
+        testing.torch_uses_gpu(), reason="Leads to core dumps on CI"
+    )
     def test_export(self):
         import tensorflow as tf