re-enable some tests

Author: nbcsm

tests/test_backend.py

@@ -191,8 +191,6 @@ def test_maxpool(self):
                 self.logger.debug(str(p))
                 self._run_test_case([_OUTPUT], {_INPUT: x_val})
 
-    @unittest.skipIf(get_test_config().is_onnxruntime_backend and get_test_config().backend_version == "0.2.1",
-                     "onnxruntime bug")
     @check_onnxruntime_incompatibility("AveragePool")
     def test_avgpool(self):
         for tf_shape in ["known", "unknown"]:
@@ -1195,7 +1193,7 @@ def test_randomuniform(self):
         # since results are random, compare the shapes only
         self._run_test_case([_OUTPUT], {}, check_value=False, check_shape=True)
 
-    @unittest.skip("")
+    @unittest.skip("TF RandomUniformInt is not supported")
     def test_randomuniform_int(self):
         shape = tf.constant([2, 3], name="shape")
         x_ = tf.random_uniform(shape, name="rand", dtype=tf.int32, maxval=10)

tests/test_gru.py

@@ -8,7 +8,6 @@
 from __future__ import print_function
 from __future__ import unicode_literals
 
-import unittest
 import numpy as np
 import tensorflow as tf
 
@@ -209,7 +208,6 @@ def test_single_dynamic_gru_ch_zero_state_initializer(self):
         self.run_test_case(feed_dict, input_names_with_port, output_names_with_port, rtol=1e-03, atol=1e-06,
                            graph_validator=lambda g: check_gru_count(g, 1))
 
-    @unittest.skip("FIXME: disable for now for accuracy problem")
     def test_single_dynamic_gru_random_weights(self):
         hidden_size = 5
         batch_size = 1
@@ -238,7 +236,6 @@ def test_single_dynamic_gru_random_weights(self):
         self.run_test_case(feed_dict, input_names_with_port, output_names_with_port, 0.0001,
                            graph_validator=lambda g: check_gru_count(g, 1))
 
-    @unittest.skip("FIXME: disable for now for accuracy problem")
     def test_single_dynamic_gru_random_weights2(self):
         hidden_size = 128
         batch_size = 1

tests/test_grublock.py

@@ -8,7 +8,6 @@
 from __future__ import print_function
 from __future__ import unicode_literals
 
-import unittest
 import numpy as np
 import tensorflow as tf
 
@@ -194,7 +193,6 @@ def test_single_dynamic_gru_ch_zero_state_initializer(self):
         self.run_test_case(feed_dict, input_names_with_port, output_names_with_port, rtol=1e-03, atol=1e-06,
                            graph_validator=lambda g: check_gru_count(g, 1))
 
-    @unittest.skip("FIXME: disable for now for accuracy problem")
     def test_single_dynamic_gru_random_weights(self):
         hidden_size = 5
         batch_size = 1
@@ -220,7 +218,6 @@ def test_single_dynamic_gru_random_weights(self):
         self.run_test_case(feed_dict, input_names_with_port, output_names_with_port, 0.0001,
                            graph_validator=lambda g: check_gru_count(g, 1))
 
-    @unittest.skip("FIXME: disable for now for accuracy problem")
     def test_single_dynamic_gru_random_weights2(self):
         hidden_size = 128
         batch_size = 1

tests/test_loops.py

@@ -8,7 +8,6 @@
 from __future__ import print_function
 from __future__ import unicode_literals
 
-import unittest
 import numpy as np
 import tensorflow as tf
 
@@ -103,7 +102,6 @@ def b(i, res, res2):
         output_names_with_port = ["i:0", "x:0", "y:0"]
         self.run_test_case(feed_dict, input_names_with_port, output_names_with_port, rtol=1e-06)
 
-    @unittest.skip("bug in onnxruntime")
     def test_while_loop_with_ta_read_reference_outer_input_directly(self):
         i = tf.placeholder(tf.int32, (), name="input_1")
         inputs = tf.placeholder(tf.float32, (10,), name="input_2")

tests/test_lstm.py

@@ -8,7 +8,6 @@
 from __future__ import print_function
 from __future__ import unicode_literals
 
-import unittest
 import numpy as np
 import tensorflow as tf
 
@@ -268,7 +267,6 @@ def test_single_dynamic_lstm_consume_one_of_ch_tuple(self):
         self.run_test_case(feed_dict, input_names_with_port, output_names_with_port, rtol=1e-06,
                            graph_validator=lambda g: check_lstm_count(g, 1))
 
-    @unittest.skip("FIXME: disable for now for accuracy problem")
     def test_single_dynamic_lstm_random_weights(self, state_is_tuple=True):
         hidden_size = 5
         batch_size = 6
@@ -298,7 +296,6 @@ def test_single_dynamic_lstm_random_weights(self, state_is_tuple=True):
         self.run_test_case(feed_dict, input_names_with_port, output_names_with_port, rtol=0.0001,
                            graph_validator=lambda g: check_lstm_count(g, 1))
 
-    @unittest.skip("FIXME: disable for now for accuracy problem")
     def test_single_dynamic_lstm_random_weights2(self, state_is_tuple=True):
         hidden_size = 128
         batch_size = 1