[CI] Update images to 20260214-152058-2a448ce4 (#18775)

Update the CI docker images to include Python 3.10, PyTorch 2.10, ONNX 1.20.1 and so on.
Part of #18682

Author: mshr-h

ci/jenkins/docker-images.ini

@@ -17,8 +17,9 @@
 
 # This data file is read during when Jenkins runs job to determine docker images.
 [jenkins]
-ci_arm: tlcpack/ci-arm:20250513-063354-70aa3797
-ci_cpu: tlcpack/ci_cpu:20250513-063354-70aa3797
-ci_gpu: tlcpack/ci-gpu:20250513-063354-70aa3797
-ci_lint: tlcpack/ci-lint:20250513-063354-70aa3797
-ci_wasm: tlcpack/ci-wasm:20250513-063354-70aa3797
+ci_tag: 20260215-190124-d5371954
+ci_arm: tlcpack/ci-arm:%(ci_tag)s
+ci_cpu: tlcpack/ci_cpu:%(ci_tag)s
+ci_gpu: tlcpack/ci-gpu:%(ci_tag)s
+ci_lint: tlcpack/ci-lint:%(ci_tag)s
+ci_wasm: tlcpack/ci-wasm:%(ci_tag)s

tests/python/relax/test_frontend_dynamo.py

@@ -222,17 +222,17 @@ class Expected2:
         @R.function
         def subgraph_0(
             inp_0: R.Tensor((10,), dtype="float32"), inp_1: R.Tensor((10,), dtype="float32")
-        ) -> R.Tuple(R.Tensor((10,), dtype="float32"), R.Tensor((), dtype="bool")):
+        ) -> R.Tuple(R.Tensor((), dtype="bool"), R.Tensor((10,), dtype="float32")):
             # block 0
             with R.dataflow():
                 lv: R.Tensor((10,), dtype="float32") = R.sin(inp_0)
                 lv1: R.Tensor((10,), dtype="float32") = R.add(lv, R.const(1.0, "float32"))
                 lv2: R.Tensor((10,), dtype="float32") = R.divide(inp_0, lv1)
                 lv3: R.Tensor((), dtype="float32") = R.sum(inp_1, axis=None, keepdims=False)
                 lv4: R.Tensor((), dtype="bool") = R.less(lv3, R.const(1.0, "float32"))
-                gv: R.Tuple(R.Tensor((10,), dtype="float32"), R.Tensor((), dtype="bool")) = (
-                    lv2,
+                gv: R.Tuple(R.Tensor((), dtype="bool"), R.Tensor((10,), dtype="float32")) = (
                     lv4,
+                    lv2,
                 )
                 R.output(gv)
             return gv