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new d271678388 [CI][AArch64] Skip libgomp failures in integration tests
(#12554)
d271678388 is described below
commit d27167838888ca79eb53cd16449ae4483c9b6249
Author: Leandro Nunes <[email protected]>
AuthorDate: Tue Aug 23 14:03:04 2022 +0100
[CI][AArch64] Skip libgomp failures in integration tests (#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 | 9 +++++++++
tests/python/driver/tvmc/test_frontends.py | 9 +++++++++
tests/python/driver/tvmc/test_model.py | 4 ++++
3 files changed, 22 insertions(+)
diff --git a/tests/python/driver/tvmc/test_autotuner.py
b/tests/python/driver/tvmc/test_autotuner.py
index 66017823a6..7c05ff804f 100644
--- a/tests/python/driver/tvmc/test_autotuner.py
+++ b/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
[email protected](
+ 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)
[email protected](
+ 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")
diff --git a/tests/python/driver/tvmc/test_frontends.py
b/tests/python/driver/tvmc/test_frontends.py
index 0cd02181ac..98659b05ae 100644
--- a/tests/python/driver/tvmc/test_frontends.py
+++ b/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
[email protected](
+ 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()
[email protected](
+ 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")
diff --git a/tests/python/driver/tvmc/test_model.py
b/tests/python/driver/tvmc/test_model.py
index 74c1c4ded8..fb1f718c1b 100644
--- a/tests/python/driver/tvmc/test_model.py
+++ b/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()
[email protected](
+ 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")