Update to opset 13 (#437)

Author: jiafatom

.azure-pipelines/linux-CI-nightly.yml

@@ -18,6 +18,11 @@ jobs:
         ONNX_PATH: onnx==1.7.0
         ORT_PATH: -i https://test.pypi.org/simple/ ort-nightly
         COREML_PATH: git+https://github.com/apple/[email protected]
+      Python37-nightly:
+        python.version: '3.7'
+        ONNX_PATH: onnx==1.8.0
+        ORT_PATH: -i https://test.pypi.org/simple/ ort-nightly
+        COREML_PATH: git+https://github.com/apple/[email protected]
     maxParallel: 3
 
   steps:

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

@@ -43,6 +43,12 @@ jobs:
         ONNXRT_PATH: onnxruntime==1.3.0
         COREML_PATH: git+https://github.com/apple/[email protected]
         xgboost.version: '>=1.0'
+      Python37-180-RT160:
+        python.version: '3.7'
+        ONNX_PATH: onnx==1.8.0
+        ONNXRT_PATH: onnxruntime==1.6.0
+        COREML_PATH: git+https://github.com/apple/[email protected]
+        xgboost.version: '>=1.0'
     maxParallel: 3
 
   steps:

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

@@ -18,6 +18,11 @@ jobs:
         ONNX_PATH: onnx==1.7.0
         ONNXRT_PATH: -i https://test.pypi.org/simple/ ort-nightly
         COREML_PATH: git+https://github.com/apple/[email protected]
+      Python37-nightly:
+        python.version: '3.7'
+        ONNX_PATH: onnx==1.8.0
+        ONNXRT_PATH: -i https://test.pypi.org/simple/ ort-nightly
+        COREML_PATH: git+https://github.com/apple/[email protected]
     maxParallel: 3
 
   steps:

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

@@ -48,6 +48,13 @@ jobs:
         COREML_PATH: git+https://github.com/apple/[email protected]
         sklearn.version: ''
 
+      Python37-180-RT160:
+        python.version: '3.7'
+        ONNX_PATH: onnx==1.8.0
+        ONNXRT_PATH: onnxruntime==1.6.0
+        COREML_PATH: git+https://github.com/apple/[email protected]
+        sklearn.version: ''
+
     maxParallel: 3
 
   steps:

onnxmltools/__init__.py

@@ -9,7 +9,7 @@
 This framework converts any machine learned model into onnx format
 which is a common language to describe any machine learned model.
 """
-__version__ = "1.7.0"
+__version__ = "1.8.0"
 __author__ = "Microsoft"
 __producer__ = "OnnxMLTools"
 __producer_version__ = __version__

onnxmltools/convert/lightgbm/convert.py

@@ -6,6 +6,7 @@
 
 from uuid import uuid4
 import lightgbm
+import warnings
 from onnxconverter_common.onnx_ex import get_maximum_opset_supported
 import onnx
 from ..common._topology import convert_topology
@@ -61,6 +62,10 @@ def convert(model, name=None, initial_types=None, doc_string='', target_opset=No
         from hummingbird.ml import convert
         from hummingbird.ml import constants
 
+        if target_opset == 13:
+            warnings.warn('Pytorch-onnx does not support opset 13 yet, use opset 12 instead.')
+            target_opset = 12
+
         extra_config = {}
         extra_config[constants.ONNX_INITIAL_TYPES] = initial_types
         extra_config[constants.ONNX_OUTPUT_MODEL_NAME] = name

requirements.txt

@@ -1,6 +1,6 @@
 keras2onnx
 numpy
 onnx
-onnxconverter-common>=1.7.0, <1.8.0
+onnxconverter-common>=1.8.0, <1.9.0
 protobuf
 skl2onnx