[PyOV] Change default opset9->opset10 (#15238)

src/bindings/python/setup.py

@@ -54,6 +54,7 @@ packages = [
     "openvino.runtime.opset7",
     "openvino.runtime.opset8",
     "openvino.runtime.opset9",
+    "openvino.runtime.opset10",
     "openvino.runtime.utils",
     "openvino.runtime.op",
     "openvino.runtime.op.util",

src/bindings/python/src/openvino/runtime/utils/node_factory.py

@@ -13,7 +13,7 @@ from openvino.runtime import Node, Output
 
 from openvino.runtime.exceptions import UserInputError
 
-DEFAULT_OPSET = "opset9"
+DEFAULT_OPSET = "opset10"
 
 
 class NodeFactory(object):

src/bindings/python/tests/test_graph/test_create_op.py

@@ -11,8 +11,7 @@ from openvino.runtime.utils.types import make_constant_node
 
 import openvino.runtime.opset1 as ov_opset1
 import openvino.runtime.opset5 as ov_opset5
-import openvino.runtime.opset9 as ov
-import openvino.runtime.opset10 as ov_opset10
+import openvino.runtime.opset10 as ov
 from openvino.runtime import Type
 
 np_types = [np.float32, np.int32]
@@ -2146,9 +2145,9 @@ def test_interpolate_opset10(dtype, expected_shape, shape_calculation_mode):
     axes = [2, 3]
     mode = "cubic"
 
-    node = ov_opset10.interpolate(image=image_node, output_shape=output_shape, scales=scales,
-                                  axes=axes, mode=mode,
-                                  shape_calculation_mode=shape_calculation_mode)
+    node = ov.interpolate(image=image_node, output_shape=output_shape, scales=scales,
+                          axes=axes, mode=mode,
+                          shape_calculation_mode=shape_calculation_mode)
     assert node.get_type_name() == "Interpolate"
     assert node.get_output_size() == 1
     assert list(node.get_output_shape(0)) == expected_shape
@@ -2157,7 +2156,7 @@ def test_interpolate_opset10(dtype, expected_shape, shape_calculation_mode):
 def test_is_finite_opset10():
     input_shape = [1, 2, 3, 4]
     input_node = ov.parameter(input_shape, np.float32, name="InputData")
-    node = ov_opset10.is_finite(input_node)
+    node = ov.is_finite(input_node)
 
     assert node.get_type_name() == "IsFinite"
     assert node.get_output_size() == 1
@@ -2168,7 +2167,7 @@ def test_is_finite_opset10():
 def test_is_inf_opset10_default():
     input_shape = [2, 2, 2, 2]
     input_node = ov.parameter(input_shape, dtype=np.float32, name="InputData")
-    node = ov_opset10.is_inf(input_node)
+    node = ov.is_inf(input_node)
 
     assert node.get_type_name() == "IsInf"
     assert node.get_output_size() == 1
@@ -2185,7 +2184,7 @@ def test_is_inf_opset10_custom_attribute():
     attributes = {
         "detect_positive": False,
     }
-    node = ov_opset10.is_inf(input_node, attributes)
+    node = ov.is_inf(input_node, attributes)
 
     assert node.get_type_name() == "IsInf"
     assert node.get_output_size() == 1
@@ -2203,7 +2202,7 @@ def test_is_inf_opset10_custom_all_attributes():
         "detect_negative": False,
         "detect_positive": True,
     }
-    node = ov_opset10.is_inf(input_node, attributes)
+    node = ov.is_inf(input_node, attributes)
 
     assert node.get_type_name() == "IsInf"
     assert node.get_output_size() == 1
@@ -2217,7 +2216,7 @@ def test_is_inf_opset10_custom_all_attributes():
 def test_is_nan_opset10():
     input_shape = [1, 2, 3, 4]
     input_node = ov.parameter(input_shape, np.float32, name="InputData")
-    node = ov_opset10.is_nan(input_node)
+    node = ov.is_nan(input_node)
 
     assert node.get_type_name() == "IsNaN"
     assert node.get_output_size() == 1
@@ -2230,7 +2229,7 @@ def test_unique_opset10():
     input_node = ov.parameter(input_shape, np.float32, name="input_data")
     axis = ov.constant([1], np.int32, [1])
 
-    node = ov_opset10.unique(input_node, axis, False, "i32")
+    node = ov.unique(input_node, axis, False, "i32")
 
     assert node.get_type_name() == "Unique"
     assert node.get_sorted() is False
@@ -2247,7 +2246,7 @@ def test_unique_opset10():
     assert node.get_output_element_type(3) == Type.i64
 
     # Axis default, means flattened result
-    node = ov_opset10.unique(input_node, None, False, "i32", "i32")
+    node = ov.unique(input_node, None, False, "i32", "i32")
 
     assert node.get_type_name() == "Unique"
     assert node.get_sorted() is False
@@ -2264,7 +2263,7 @@ def test_unique_opset10():
     assert node.get_output_element_type(3) == Type.i32
 
     # All arguments default
-    node = ov_opset10.unique(input_node)
+    node = ov.unique(input_node)
 
     assert node.get_type_name() == "Unique"
     assert node.get_output_size() == 4

src/bindings/python/tests/test_graph/test_dft.py

@@ -3,7 +3,7 @@
 # SPDX-License-Identifier: Apache-2.0
 
 from openvino.runtime import Type
-import openvino.runtime.opset9 as ov
+import openvino.runtime.opset10 as ov
 import numpy as np
 import pytest
 

src/bindings/python/tests/test_graph/test_eye.py

@@ -2,7 +2,7 @@
 # Copyright (C) 2018-2023 Intel Corporation
 # SPDX-License-Identifier: Apache-2.0
 
-import openvino.runtime.opset9 as ov
+import openvino.runtime.opset10 as ov
 import numpy as np
 import pytest
 

src/bindings/python/tests/test_graph/test_ops_unary.py

@@ -6,7 +6,7 @@ import numpy as np
 import pytest
 
 import openvino.runtime as ov_runtime
-import openvino.runtime.opset9 as ov
+import openvino.runtime.opset10 as ov
 from openvino.runtime import Shape, Type
 
 R_TOLERANCE = 1e-6  # global relative tolerance

src/bindings/python/tests/test_graph/test_rdft.py

@@ -2,7 +2,7 @@
 # Copyright (C) 2018-2023 Intel Corporation
 # SPDX-License-Identifier: Apache-2.0
 
-import openvino.runtime.opset9 as ov
+import openvino.runtime.opset10 as ov
 from openvino.runtime import Shape, Type
 import numpy as np
 import pytest

src/bindings/python/tests/test_graph/test_reduction.py

@@ -5,7 +5,7 @@
 import numpy as np
 import pytest
 
-import openvino.runtime.opset9 as ov
+import openvino.runtime.opset10 as ov
 
 
 @pytest.mark.parametrize(