Bump ORT nightly version to 1.17.0.dev20231218002 | chore(ci) (#1236)

Pin `expecttest==0.1.6` because version `0.2` does not play very well
with the pytorch version in CI.

noxfile.py

@@ -15,7 +15,7 @@
     "typing_extensions",
     "beartype!=0.16.0",
     "types-PyYAML",
-    "expecttest",
+    "expecttest==0.1.6",
     "hypothesis",
     "packaging",
     "parameterized",

onnxscript/tests/function_libs/torch_lib/ops_test_data.py

@@ -722,6 +722,7 @@ def _where_input_wrangler(
     )
     .xfail(
         dtypes=(torch.float16,),
+        enabled_if=version_utils.onnxruntime_older_than("1.17"),
         reason="fixme: SplitToSequence op inference failed. https://github.com/microsoft/onnxruntime/issues/16006",
     )
     .xfail(
@@ -1222,16 +1223,30 @@ def _where_input_wrangler(
     TorchLibOpInfo(
         "nn.functional.relu",
         nn_ops.aten_relu,
-    ).xfail(
+    )
+    .xfail(
         dtypes=(torch.int64,),
+        enabled_if=version_utils.onnxruntime_older_than("1.17"),
         reason="fixme: ORT did not implement Relu for int64. https://github.com/microsoft/onnxruntime/issues/16654",
+    )
+    .xfail(
+        dtypes=(torch.int64,),
+        test_class_name="TestOutputConsistencyEager",
+        reason="fixme: ORT fails with 'Could not find an implementation for Relu(14) node'",
     ),
     TorchLibOpInfo(
         "nn.functional.relu6",
         nn_ops.aten_relu6,
-    ).xfail(
+    )
+    .xfail(
         dtypes=(torch.int64,),
+        enabled_if=version_utils.onnxruntime_older_than("1.17"),
         reason="fixme: ORT did not implement Relu for int64. https://github.com/microsoft/onnxruntime/issues/16654",
+    )
+    .xfail(
+        dtypes=(torch.int64,),
+        test_class_name="TestOutputConsistencyEager",
+        reason="fixme: ORT fails with 'Could not find an implementation for Relu(14) node'",
     ),
     TorchLibOpInfo(
         "ops.aten.replication_pad1d",
@@ -1470,6 +1485,7 @@ def _where_input_wrangler(
     )
     .xfail(
         dtypes=(torch.float16,),
+        enabled_if=version_utils.onnxruntime_older_than("1.17"),
         reason="fixme: ORT failed to produce the correct argument type: https://github.com/microsoft/onnxruntime/issues/16006",
     )
     .xfail(
@@ -1482,11 +1498,13 @@ def _where_input_wrangler(
     )
     .xfail(
         dtypes=(torch.float16,),
+        enabled_if=version_utils.onnxruntime_older_than("1.17"),
         reason="fixme: ORT failed to produce the correct argument type: https://github.com/microsoft/onnxruntime/issues/16006",
     )
     .xfail(
         variant_name="list_args",
         dtypes=(torch.float16,),
+        enabled_if=version_utils.onnxruntime_older_than("1.17"),
         reason="fixme: ORT failed to produce the correct argument type: https://github.com/microsoft/onnxruntime/issues/16006",
     )
     .xfail(
@@ -1563,6 +1581,7 @@ def _where_input_wrangler(
     )
     .xfail(
         dtypes=(torch.float16,),
+        enabled_if=version_utils.onnxruntime_older_than("1.17"),
         reason="fixme: SplitToSequence op inference failed. https://github.com/microsoft/onnxruntime/issues/16006",
     )
     .xfail(

requirements-dev.txt

@@ -17,7 +17,7 @@ sphinx>=6
 beartype!=0.16.0
 
 # Testing
-expecttest
+expecttest==0.1.6
 hypothesis
 parameterized
 pytest-cov

requirements/ci/requirements-onnx-weekly.txt

@@ -1 +1 @@
-onnx-weekly==1.16.0.dev20231218
+onnx-weekly==1.16.0.dev20231211

requirements/ci/requirements-ort-nightly.txt

@@ -1,3 +1,3 @@
 # https://aiinfra.visualstudio.com/PublicPackages/_artifacts/feed/ORT-Nightly/PyPI/ort-nightly/overview
 --index-url=https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/ORT-Nightly/pypi/simple/
-ort-nightly==1.16.0.dev20230908001
+ort-nightly==1.17.0.dev20231218002