change log debug to warning

Signed-off-by: hwangdeyu <[email protected]>

Author: hwangdeyu

ci_build/azure_pipelines/unit_test.yml

@@ -19,7 +19,7 @@ stages:
     - template: 'templates/job_generator.yml'
       parameters:
         # TFLite tf 2.7
-        python_versions: ['3.9']
+        python_versions: ['3.8']
         tf_versions: ['2.7.0']
         onnx_opsets: ['']
         skip_tflite_tests: 'False'
@@ -32,7 +32,7 @@ stages:
     - template: 'templates/job_generator.yml'
       parameters:
         # tf 2.7
-        python_versions: ['3.9']
+        python_versions: ['3.8']
         tf_versions: ['2.7.0']
         onnx_opsets: ['']
         job:
@@ -43,7 +43,7 @@ stages:
     - template: 'templates/job_generator.yml'
       parameters:
         # TFJS tf 2.6
-        python_versions: ['3.8']
+        python_versions: ['3.9']
         tf_versions: ['2.6.2']
         onnx_opsets: ['']
         skip_tfjs_tests: 'False'

tests/backend_test_base.py

@@ -203,18 +203,18 @@ def convert_to_tfjs(self, graph_def_path, output_names):
         try:
             from tensorflowjs.converters import converter
         except ImportError:
-            self.logger.debug("Tensorflowjs.converters package import failed.")
+            self.logger.warning("Tensorflowjs.converters package imports failed.")
             return None
         tfjs_path = os.path.join(self.test_data_directory, self._testMethodName + "_tfjs")
         try:
             converter.convert([graph_def_path, tfjs_path, '--input_format', 'tf_frozen_model',
                                '--output_node_names', ','.join(output_names)])
         except ValueError:
-            self.logger.debug("Convert tensorflowjs graph failed.")
+            self.logger.warning("Convert tensorflowjs graph failed.")
             return None
         model_path = os.path.join(tfjs_path, 'model.json')
         if not os.path.exists(model_path):
-            self.logger.debug("Tensorflowjs model path %s is empty.", model_path)
+            self.logger.warning("Tensorflowjs model path %s is empty.", model_path)
             return None
         return model_path
 

tests/test_cond.py

@@ -159,7 +159,7 @@ def func(x, y):
         output_names_with_port = ["output:0"]
         self.run_test_case(func, feed_dict, input_names_with_port, output_names_with_port)
 
-    @skip_tfjs("TFJS executes model incorrectly")
+    @skip_tfjs("TFJS executes model cannot read properties of undefined (reading 'name')")
     def test_case_with_exclusive(self):
         x_val = np.array([1, 2, 3], dtype=np.float32)
         y_val = np.array([4, 5, 6], dtype=np.float32)
@@ -175,7 +175,7 @@ def func(x, y):
         output_names_with_port = ["output:0"]
         self.run_test_case(func, feed_dict, input_names_with_port, output_names_with_port)
 
-    @skip_tfjs("TFJS executes model incorrectly")
+    @skip_tfjs("TFJS executes model cannot read properties of undefined (reading 'name')")
     def test_case_without_default_branch(self):
         def func(x, y):
             x = tf.add(x, 1, name="add_x")