update ci

Author: xadupre

.github/workflows/check-release.yml

@@ -16,7 +16,7 @@ jobs:
       matrix:
         os: [ubuntu-latest, macOS-latest, windows-latest]
         python: ['3.11', '3.12']
-        transformers: ['4.48.3', '4.52.4', '4.55.2', 'main']
+        transformers: ['4.48.3', '4.52.4', '4.55.3', 'main']
         torch: ['2.7', '2.8', 'main']
 
     steps:

.github/workflows/ci.yml

@@ -16,7 +16,7 @@ jobs:
       matrix:
         os: [ubuntu-latest]
         python: ['3.10', '3.11', '3.12', '3.13']
-        transformers: ['4.48.3', '4.51.3', '4.52.4', '4.53.3', '4.55.2', 'main']
+        transformers: ['4.48.3', '4.51.3', '4.52.4', '4.53.3', '4.55.3', 'main']
         torch: ['2.8', 'main']
         exclude:
           - python: '3.10'
@@ -28,15 +28,15 @@ jobs:
           - python: '3.10'
             transformers: '4.53.3'
           - python: '3.10'
-            transformers: '4.55.2'
+            transformers: '4.55.3'
           - python: '3.11'
             torch: 'main'
           - python: '3.11'
             transformers: '4.53.3'
           - python: '3.11'
             transformers: 'main'
           - python: '3.11'
-            transformers: '4.55.2'
+            transformers: '4.55.3'
           - python: '3.13'
             torch: '2.8'
           - python: '3.13'

_unittests/ut_torch_models/test_validate_whole_models.py

@@ -23,7 +23,7 @@
 
 
 class TestValidateWholeModels(ExtTestCase):
-    def test_get_inputs_for_task(self):
+    def test_a_get_inputs_for_task(self):
         fcts = supported_tasks()
         for task in self.subloop(sorted(fcts)):
             try:
@@ -35,19 +35,19 @@ def test_get_inputs_for_task(self):
             self.assertIn("dynamic_shapes", data)
             copy.deepcopy(data["inputs"])
 
-    def test_empty(self):
+    def test_b_empty(self):
         self.assertFalse(empty("float16"))
 
     @hide_stdout()
-    def test_validate_model(self):
+    def test_c_validate_model(self):
         mid = "arnir0/Tiny-LLM"
         summary, data = validate_model(mid, do_run=True, verbose=2)
         self.assertIsInstance(summary, dict)
         self.assertIsInstance(data, dict)
         validate_model(mid, do_run=True, verbose=2, quiet=True)
 
     @hide_stdout()
-    def test_validate_model_dtype(self):
+    def test_d_validate_model_dtype(self):
         mid = "arnir0/Tiny-LLM"
         summary, data = validate_model(
             mid, do_run=True, verbose=2, dtype="float32", device="cpu"
@@ -57,7 +57,7 @@ def test_validate_model_dtype(self):
         validate_model(mid, do_run=True, verbose=2, quiet=True)
 
     @hide_stdout()
-    def test_validate_model_export(self):
+    def test_e_validate_model_export(self):
         mid = "arnir0/Tiny-LLM"
         summary, data = validate_model(
             mid,
@@ -73,7 +73,7 @@ def test_validate_model_export(self):
     @requires_torch("2.8.99")
     @hide_stdout()
     @ignore_warnings(FutureWarning)
-    def test_validate_model_onnx_dynamo_ir(self):
+    def test_f_validate_model_onnx_dynamo_ir(self):
         mid = "arnir0/Tiny-LLM"
         summary, data = validate_model(
             mid,
@@ -98,7 +98,7 @@ def test_validate_model_onnx_dynamo_ir(self):
     @requires_onnxscript("0.4")
     @hide_stdout()
     @ignore_warnings(FutureWarning)
-    def test_validate_model_onnx_dynamo_os_ort(self):
+    def test_g_validate_model_onnx_dynamo_os_ort(self):
         mid = "arnir0/Tiny-LLM"
         summary, data = validate_model(
             mid,
@@ -120,7 +120,7 @@ def test_validate_model_onnx_dynamo_os_ort(self):
     @hide_stdout()
     @ignore_warnings(FutureWarning)
     @requires_experimental()
-    def test_validate_model_custom_os_ort(self):
+    def test_h_validate_model_custom_os_ort(self):
         mid = "arnir0/Tiny-LLM"
         summary, data = validate_model(
             mid,
@@ -142,7 +142,7 @@ def test_validate_model_custom_os_ort(self):
     @hide_stdout()
     @ignore_warnings(FutureWarning)
     @requires_experimental()
-    def test_validate_model_custom(self):
+    def test_i_validate_model_custom(self):
         mid = "arnir0/Tiny-LLM"
         summary, data = validate_model(
             mid,
@@ -171,7 +171,7 @@ def test_validate_model_custom(self):
     @hide_stdout()
     @ignore_warnings(FutureWarning)
     @requires_experimental()
-    def test_validate_model_custom_torch(self):
+    def test_j_validate_model_custom_torch(self):
         mid = "arnir0/Tiny-LLM"
         summary, data = validate_model(
             mid,
@@ -190,7 +190,7 @@ def test_validate_model_custom_torch(self):
         self.assertIn("disc_onnx_ort_run_abs", summary)
         self.assertLess(summary["disc_onnx_ort_run_abs"], 1e-4)
 
-    def test_filter_inputs(self):
+    def test_k_filter_inputs(self):
         inputs, ds = {"a": 1, "b": 2}, {"a": 20, "b": 30}
         ni, nd = filter_inputs(inputs, dynamic_shapes=ds, drop_names=["a"])
         self.assertEqual((ni, nd), ({"b": 2}, {"b": 30}))
@@ -215,7 +215,7 @@ def test_filter_inputs(self):
     @hide_stdout()
     @ignore_warnings(FutureWarning)
     @requires_transformers("4.51")
-    def test_validate_model_modelbuilder(self):
+    def test_l_validate_model_modelbuilder(self):
         mid = "arnir0/Tiny-LLM"
         summary, data = validate_model(
             mid,
@@ -234,7 +234,7 @@ def test_validate_model_modelbuilder(self):
     @hide_stdout()
     @ignore_warnings(FutureWarning)
     @requires_transformers("4.51")
-    def test_validate_model_vit_model(self):
+    def test_m_validate_model_vit_model(self):
         mid = "ydshieh/tiny-random-ViTForImageClassification"
         summary, data = validate_model(
             mid,
@@ -255,11 +255,11 @@ def test_validate_model_vit_model(self):
         onnx_filename = data["onnx_filename"]
         self.assertExists(onnx_filename)
 
-    @requires_torch("2.7")
+    @requires_torch("2.9")
     @hide_stdout()
     @ignore_warnings(FutureWarning)
     @requires_transformers("4.55")
-    def test_validate_phi35_mini_instruct(self):
+    def test_n_validate_phi35_mini_instruct(self):
         mid = "microsoft/Phi-3.5-mini-instruct"
         summary, data = validate_model(
             mid,
@@ -279,11 +279,11 @@ def test_validate_phi35_mini_instruct(self):
         op_types = set(n.op_type for n in onx.graph.node)
         self.assertIn("If", op_types)
 
-    @requires_torch("2.7")
+    @requires_torch("2.9")
     @hide_stdout()
     @ignore_warnings(FutureWarning)
     @requires_transformers("4.55")
-    def test_validate_phi35_4k_mini_instruct(self):
+    def test_o_validate_phi35_4k_mini_instruct(self):
         mid = "microsoft/Phi-3-mini-4k-instruct"
         summary, data = validate_model(
             mid,

_unittests/ut_xrun_doc/test_command_lines_exe.py

@@ -14,7 +14,7 @@ def dummy_path(self):
             os.path.join(os.path.dirname(__file__), "data", "two_nodes.onnx")
         )
 
-    def test_parser_print(self):
+    def test_a_parser_print(self):
         for fmt in ["raw", "text", "pretty", "printer"]:
             with self.subTest(format=fmt):
                 st = StringIO()
@@ -23,7 +23,7 @@ def test_parser_print(self):
                 text = st.getvalue()
                 self.assertIn("Add", text)
 
-    def test_parser_stats(self):
+    def test_b_parser_stats(self):
         output = self.get_dump_file("test_parser_stats.xlsx")
         st = StringIO()
         with redirect_stdout(st):
@@ -32,28 +32,28 @@ def test_parser_stats(self):
         self.assertIn("processing", text)
         self.assertExists(output)
 
-    def test_parser_find(self):
+    def test_c_parser_find(self):
         st = StringIO()
         with redirect_stdout(st):
             main(["find", "-i", self.dummy_path, "-n", "node_Add_188"])
         text = st.getvalue()
         self.assertIsInstance(text, str)
 
-    def test_parser_find_v2(self):
+    def test_d_parser_find_v2(self):
         st = StringIO()
         with redirect_stdout(st):
             main(["find", "-i", self.dummy_path, "-n", "node_Add_188", "--v2"])
         text = st.getvalue()
         self.assertIsInstance(text, str)
 
-    def test_parser_config(self):
+    def test_e_parser_config(self):
         st = StringIO()
         with redirect_stdout(st):
             main(["config", "-m", "arnir0/Tiny-LLM"])
         text = st.getvalue()
         self.assertIn("LlamaForCausalLM", text)
 
-    def test_parser_validate(self):
+    def test_f_parser_validate(self):
         st = StringIO()
         with redirect_stdout(st):
             main(["validate"])
@@ -68,7 +68,7 @@ def test_parser_validate(self):
         self.assertIn("model_clas", text)
 
     @ignore_warnings(UserWarning)
-    def test_parser_agg(self):
+    def test_g_parser_agg(self):
         path = os.path.abspath(
             os.path.join(os.path.dirname(__file__), "..", "ut_helpers", "data")
         )