skip tfjs 3.17 tests

Signed-off-by: Deyu Huang <[email protected]>

Author: hwangdeyu

tests/common.py

@@ -24,6 +24,8 @@
     "check_onnxruntime_backend",
     "check_tf_min_version",
     "check_tf_max_version",
+    "check_tfjs_min_version",
+    "check_tfjs_max_version",
     "skip_tf_versions",
     "skip_tf_cpu",
     "check_onnxruntime_min_version",
@@ -272,6 +274,29 @@ def requires_custom_ops(message=""):
         can_import = False
     return unittest.skipIf(not can_import, reason)
 
+def check_tfjs_max_version(max_accepted_version, message=""):
+    """ Skip if tfjs_version > max_required_version """
+    config = get_test_config()
+    reason = _append_message("conversion requires tensorflowjs <= {}".format(max_accepted_version), message)
+    try:
+        import tensorflowjs
+        can_import = True
+    except ModuleNotFoundError:
+        can_import = False
+    return unittest.skipIf(can_import and not config.skip_tfjs_tests and \
+         tensorflowjs.__version__ > LooseVersion(max_accepted_version), reason)
+
+def check_tfjs_min_version(min_required_version, message=""):
+    """ Skip if tjs_version < min_required_version """
+    config = get_test_config()
+    reason = _append_message("conversion requires tensorflowjs >= {}".format(min_required_version), message)
+    try:
+        import tensorflowjs
+        can_import = True
+    except ModuleNotFoundError:
+        can_import = False
+    return unittest.skipIf(can_import and not config.skip_tfjs_tests and \
+         tensorflowjs.__version__ < LooseVersion(min_required_version), reason)
 
 def check_tf_max_version(max_accepted_version, message=""):
     """ Skip if tf_version > max_required_version """

tests/test_cond.py

@@ -118,6 +118,7 @@ def false_fn():
         output_names_with_port = ["output:0"]
         self.run_test_case(func, feed_dict, input_names_with_port, output_names_with_port)
 
+    @check_tfjs_max_version("3.15", "failed when tfjs version > 3.15")
     def test_cond_in_while_loop(self):
         def func(i, inputs):
             inputs_2 = tf.identity(inputs)

tests/test_loops.py

@@ -7,7 +7,8 @@
 import tensorflow as tf
 
 from backend_test_base import Tf2OnnxBackendTestBase
-from common import unittest_main, check_tf_min_version, check_tf_max_version, check_onnxruntime_min_version
+from common import unittest_main, check_tf_min_version, check_tf_max_version, \
+    check_onnxruntime_min_version, check_tfjs_max_version
 from tf2onnx.tf_loader import is_tf2
 
 
@@ -66,6 +67,7 @@ def func(i):
             x_val = np.array(3, dtype=np.int32)
         self.run_test_case(func, {_INPUT: x_val}, [], [_OUTPUT], rtol=1e-06)
 
+    @check_tfjs_max_version("3.15", "failed when tfjs version > 3.15")
     def test_while_loop_with_ta_write(self):
         def func(i):
             output_ta = tf.TensorArray(dtype=tf.int32, size=0, dynamic_size=True)
@@ -159,6 +161,7 @@ def b(i, res, res2):
         output_names_with_port = ["i:0", "x:0", "y:0"]
         self.run_test_case(func, feed_dict, input_names_with_port, output_names_with_port, rtol=1e-06)
 
+    @check_tfjs_max_version("3.15", "failed when tfjs version > 3.15")
     def test_while_loop_with_ta_read_and_write(self):
         def func(i, inputs):
             inputs_2 = tf.identity(inputs)
@@ -183,6 +186,7 @@ def b(i, out_ta):
         output_names_with_port = ["i:0", "output_ta:0"]
         self.run_test_case(func, feed_dict, input_names_with_port, output_names_with_port, rtol=1e-06)
 
+    @check_tfjs_max_version("3.15", "failed when tfjs version > 3.15")
     def test_while_loop_with_multi_scan_outputs(self):
         def func(i, inputs1, inputs2):
             inputs1_ = tf.identity(inputs1)
@@ -217,6 +221,7 @@ def b(i, out_ta, out_ta2):
         output_names_with_port = ["i:0", "output_ta:0", "output_ta2:0"]
         self.run_test_case(func, feed_dict, input_names_with_port, output_names_with_port, rtol=1e-06)
 
+    @check_tfjs_max_version("3.15", "failed when tfjs version > 3.15")
     @check_onnxruntime_min_version(
         "0.5.0",
         "disable this case due to onnxruntime loop issue: https://github.com/microsoft/onnxruntime/issues/1272"