[ONNX] Bump onnx and onnxscript versions in CI (#146097)

Bump onnx onnxscript==0.1 in CI; Skipped onnxruntime 1.19 because it has regression on avgpool.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/146097
Approved by: https://github.com/malfet

.ci/docker/common/install_onnx.sh

@@ -31,8 +31,8 @@ pip_install \
 pip_install coloredlogs packaging
 
 pip_install onnxruntime==1.18.1
-pip_install onnx==1.16.2
-pip_install onnxscript==0.1.0.dev20241124 --no-deps
+pip_install onnx==1.17.0
+pip_install onnxscript==0.1.0 --no-deps
 # required by onnxscript
 pip_install ml_dtypes
 

.ci/docker/requirements-ci.txt

@@ -339,7 +339,7 @@ onnx==1.17.0
 #Pinned versions:
 #test that import:
 
-onnxscript==0.1.0.dev20240817
+onnxscript==0.1.0
 #Description: Required by mypy and test_public_bindings.py when checking torch.onnx._internal
 #Pinned versions:
 #test that import:

torch/onnx/_internal/fx/fx_onnx_interpreter.py

@@ -150,8 +150,9 @@ def _retrieve_or_adapt_input_to_graph_set(
                     # scalars are promoted to tensors with shape (1,).
                     with onnxscript.evaluator.default_as(tracer):
                         element_value = onnxscript_apis.torchlib_opset().Reshape(
-                            element_value, [1]
-                        )  # type: ignore[arg-type, type-var]
+                            element_value,  # type: ignore[arg-type, type-var]
+                            [1],  # type: ignore[arg-type, type-var]
+                        )
                 sequence_mixed_elements.append(element_value)
             elif isinstance(tensor, int):
                 # NOTE: op.Concat doesn't support scalar, so we need to wrap it with