Update test for onnxruntime 1.7.0

.azure-pipelines/linux-conda-CI-tf-keras.yml

@@ -42,7 +42,7 @@ jobs:
         python.version: '3.8'
         ONNX_PATH: onnx==1.8.0
         TENSORFLOW_PATH: tensorflow-cpu==2.3.0
-        INSTALL_ORT: pip install onnxruntime==1.6.0
+        INSTALL_ORT: pip install onnxruntime==1.7.0
 
     maxParallel: 3
 

.azure-pipelines/win32-CI-keras-applications-nightly.yml

@@ -65,7 +65,7 @@ jobs:
         INSTALL_KERAS:
         UNINSTALL_KERAS: pip uninstall keras -y
         INSTALL_TENSORFLOW: pip install tensorflow==2.2.0
-        INSTALL_ORT: pip install onnxruntime==1.6.0
+        INSTALL_ORT: pip install onnxruntime==1.7.0
         INSTALL_KERAS_RESNET: pip install keras-resnet
         INSTALL_TRANSFORMERS: pip install transformers==3.4.0
         NIGHTLY_BUILD_TEST: python run_all_v2.py

.azure-pipelines/win32-conda-CI-tf-keras.yml

@@ -42,7 +42,7 @@ jobs:
         python.version: '3.8'
         ONNX_PATH: onnx==1.8.0
         TENSORFLOW_PATH: tensorflow-cpu==2.3.0
-        INSTALL_ORT: pip install onnxruntime==1.6.0
+        INSTALL_ORT: pip install onnxruntime==1.7.0
 
     maxParallel: 3
 

applications/nightly_build/test_unet.py

@@ -4,9 +4,11 @@
 import sys
 import unittest
 import keras_segmentation
+import onnxruntime
 from os.path import dirname, abspath
 from keras2onnx.proto import keras, is_keras_older_than
 from onnxconverter_common.onnx_ex import get_maximum_opset_supported
+from distutils.version import StrictVersion
 
 sys.path.insert(0, os.path.join(dirname(abspath(__file__)), '../../tests/'))
 from test_utils import run_image
@@ -124,8 +126,8 @@ def test_unet_2(self):
         res = run_image(model, self.model_files, img_path, color_mode="grayscale", target_size=(img_rows, img_cols))
         self.assertTrue(*res)
 
-    @unittest.skipIf(get_maximum_opset_supported() < 14,
-                     "Need ConvTranspose-14 support.")
+    @unittest.skipIf(StrictVersion(onnxruntime.__version__.split('-')[0]) < StrictVersion('1.7.0'),
+                     "ConvTranspose stride > 1 is fixed in onnxruntime 1.7.0.")
     def test_unet_3(self):
         # From https://github.com/yu4u/noise2noise/blob/master/model.py
         model = get_unet_model(out_ch=3, upconv=False)

applications/nightly_build/test_unet_plus_plus.py

@@ -4,10 +4,12 @@
 import sys
 import unittest
 import numpy as np
+import onnxruntime
 from os.path import dirname, abspath
 from keras2onnx.proto import keras, is_keras_older_than
 from keras.applications.vgg16 import VGG16
 from onnxconverter_common.onnx_ex import get_maximum_opset_supported
+from distutils.version import StrictVersion
 
 sys.path.insert(0, os.path.join(dirname(abspath(__file__)), '../../tests/'))
 from test_utils import run_image
@@ -100,8 +102,8 @@ def tearDown(self):
         for fl in self.model_files:
             os.remove(fl)
 
-    @unittest.skipIf(get_maximum_opset_supported() < 14,
-                     "Need ConvTranspose-14 support.")
+    @unittest.skipIf(StrictVersion(onnxruntime.__version__.split('-')[0]) < StrictVersion('1.7.0'),
+                     "ConvTranspose stride > 1 is fixed in onnxruntime 1.7.0.")
     def test_unet_plus_plus(self):
         backbone_name = 'vgg16'
         input_shape = (None, None, 3)