Release 1.9.0 (#964)

* release 1.9.0 Signed-off-by: degaochu <[email protected]> * release 1.9.0 Signed-off-by: degaochu <[email protected]> * release 1.9.0 Signed-off-by: degaochu <[email protected]> * release 1.9.0 Signed-off-by: degaochu <[email protected]> * release 1.9.0 Signed-off-by: degaochu <[email protected]> * trigger CLA check Signed-off-by: degaochu <[email protected]>
onnx · Aug 20, 2021 · 72c8144 · 72c8144
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commit 72c8144
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diff --git a/.github/workflows/test-backend.yml b/.github/workflows/test-backend.yml
@@ -14,21 +14,21 @@ jobs:
         # - use oldest and latest supported python versions
         # - use pinned versions for current onnx-tf release
         os: [ubuntu-latest, windows-latest, macos-latest]
-        python-version: [3.6, 3.8]
-        onnx-version: ['onnx==1.8.0']
-        tensorflow-version: ['tensorflow-cpu==2.4.1 tensorflow-addons==0.12.0']
+        python-version: [3.8, 3.9]
+        onnx-version: ['onnx==1.9.0']
+        tensorflow-version: ['tensorflow-cpu==2.6.0 tensorflow-addons==0.13.0']
         include:
           - # Test previous versions on Linux only (regression)
             # - use pinned versions for previous onnx-tf release
             os: ubuntu-latest
-            python-version: 3.6
-            onnx-version: 'onnx==1.8.0'
-            tensorflow-version: 'tensorflow==2.4.1 tensorflow-addons==0.12.0'
+            python-version: 3.8
+            onnx-version: 'onnx==1.9.0'
+            tensorflow-version: 'tensorflow==2.6.0 tensorflow-addons==0.13.0'
           - # Test development versions on Linux only
             # - latest development versions
             # - allow failure via GitHub branch protection rule
             os: ubuntu-latest
-            python-version: 3.8
+            python-version: 3.9
             onnx-version: 'development'
             tensorflow-version: 'tensorflow-cpu tensorflow-addons'
 

diff --git a/.github/workflows/test-modelzoo.yml b/.github/workflows/test-modelzoo.yml
@@ -28,10 +28,10 @@ jobs:
         path: wiki
     - uses: actions/setup-python@v2
       with:
-        python-version: '3.6'
+        python-version: '3.8'
     - name: Install dependencies
       run: |
-        pip install onnx==1.8.0 tensorflow==2.4.1 tensorflow-addons==0.12.0
+        pip install onnx==1.9.0 tensorflow==2.6.0 tensorflow-addons==0.13.0
         pip install -e .
     - name: Run ModelZoo tests
       run: |

diff --git a/ONNX_VERSION_NUMBER b/ONNX_VERSION_NUMBER
@@ -1 +1 @@
-1.8.0
+1.9.0
diff --git a/README.md b/README.md
@@ -41,7 +41,7 @@ The specific ONNX release version that we support in the master branch of ONNX-T
 
 To install the latest version of ONNX-TF via pip, run `pip install onnx-tf`.
 
-Because users often have their own preferences for which variant of TensorFlow to install (i.e., a GPU version instead of a CPU version), we do not explicitly require tensorflow in the installation script. It is therefore users' responsibility to ensure that the proper variant of TensorFlow is available to ONNX-TF. Moreover, we require TensorFlow version == 2.4.1.
+Because users often have their own preferences for which variant of TensorFlow to install (i.e., a GPU version instead of a CPU version), we do not explicitly require tensorflow in the installation script. It is therefore users' responsibility to ensure that the proper variant of TensorFlow is available to ONNX-TF. Moreover, we require TensorFlow version == 2.6.0.
 
 ## Development
 
@@ -53,7 +53,7 @@ Because users often have their own preferences for which variant of TensorFlow t
 
 ### Installation
 - Install ONNX master branch from source.
-- Install TensorFlow >= 2.4.1 and tensorflow-addons. (Note TensorFlow 1.x is no longer supported)
+- Install TensorFlow >= 2.6.0 and tensorflow-addons. (Note TensorFlow 1.x is no longer supported)
 - Run `git clone https://github.com/onnx/onnx-tensorflow.git && cd onnx-tensorflow`.
 - Run `pip install -e .`.
 

diff --git a/VERSION_NUMBER b/VERSION_NUMBER
@@ -1 +1 @@
-1.8.0
+1.9.0
diff --git a/Versioning.md b/Versioning.md
@@ -10,3 +10,4 @@ ONNX-TensorFlow version|ONNX version|TensorFlow version
 1.6.0|1.6.0 (opset 11)|2.2.0
 1.7.0|1.7.0 (opset 12)|2.3.1
 1.8.0|1.8.0 (opset 13)|2.4.1
+1.9.0|1.9.0 (opset 14)|2.6.0
diff --git a/doc/support_status.md b/doc/support_status.md
diff --git a/doc/support_status_v1_9_0.md b/doc/support_status_v1_9_0.md
diff --git a/test/backend/test_model.py b/test/backend/test_model.py
@@ -331,14 +331,14 @@ def test_if_with_sequence(self):
     b_in = helper.make_tensor_value_info('b', onnx.TensorProto.FLOAT, [1, 1, 2])
     c_in = helper.make_tensor_value_info('c', onnx.TensorProto.FLOAT, [3, 1, 2])
     cond_in = helper.make_tensor_value_info('cond', TensorProto.BOOL, [])
-    s_in = helper.make_tensor_sequence_value_info('S', TensorProto.FLOAT,
+    s_in = helper.make_sequence_value_info('S', TensorProto.FLOAT,
                                                   [None, None, None, None])
 
-    sb_out = helper.make_tensor_sequence_value_info('Sb', TensorProto.FLOAT,
+    sb_out = helper.make_sequence_value_info('Sb', TensorProto.FLOAT,
                                                     [None, None, None, None])
-    sc_out = helper.make_tensor_sequence_value_info('Sc', TensorProto.FLOAT,
+    sc_out = helper.make_sequence_value_info('Sc', TensorProto.FLOAT,
                                                     [None, None, None, None])
-    s_final_out = helper.make_tensor_sequence_value_info(
+    s_final_out = helper.make_sequence_value_info(
         'S_final', TensorProto.FLOAT, [None, None, None, None])
 
     then_graph = helper.make_graph(nodes=[seq_insert_node1],
@@ -437,14 +437,14 @@ def test_loop_with_sequence(self):
     iter_count_in = helper.make_tensor_value_info('iter_count',
                                                   TensorProto.INT64, [])
     cond_in = helper.make_tensor_value_info('cond', TensorProto.BOOL, [])
-    s_in = helper.make_tensor_sequence_value_info('S', TensorProto.FLOAT,
+    s_in = helper.make_sequence_value_info('S', TensorProto.FLOAT,
                                                   [None, None, None, None])
 
     cond_out = helper.make_tensor_value_info('cond', TensorProto.BOOL, [])
-    s_out = helper.make_tensor_sequence_value_info('Updated_S',
+    s_out = helper.make_sequence_value_info('Updated_S',
                                                    TensorProto.FLOAT,
                                                    [None, None, None, None])
-    s_final_out = helper.make_tensor_sequence_value_info(
+    s_final_out = helper.make_sequence_value_info(
         'S_final', TensorProto.FLOAT, [None, None, None, None])
 
     body_graph = helper.make_graph(nodes=[seq_insert_node],

diff --git a/test/backend/test_onnx_backend.py b/test/backend/test_onnx_backend.py
@@ -157,6 +157,9 @@ def get_onnx_supported_ops():
 backend_test.exclude(r'test_batchnorm_epsilon_training_mode[a-z,_]*')
 backend_test.exclude(r'test_batchnorm_example_training_mode[a-z,_]*')
 
+# ONNX 1.9.0 test case does not support sequence
+backend_test.exclude(r'[a-z,_]*identity_sequence_[a-z,_]*')
+
 # import all test cases at global scope to make them visible to python.unittest
 globals().update(backend_test.enable_report().test_cases)