[MO] Azure CI, unit-test dirs and howto doc fixes (#9146)
* Azure CI fixes for MO * leftover: update imports in docs * moved unit-tests from extensions/ into mo/
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Pavel Esir
GitHub
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commit
ba4802554e
@ -241,7 +241,7 @@ jobs:
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. $(SETUPVARS) -pyver 3.8 && python3 -m pytest -s $(INSTALL_DIR)/tests/mo/unit_tests --junitxml=TEST-ModelOptimizer.xml
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displayName: 'Model Optimizer UT'
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continueOnError: false
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enabled: false
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enabled: true
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- script: . $(SETUPVARS) && $(INSTALL_TEST_DIR)/ov_core_unit_tests --gtest_print_time=1 --gtest_filter=-*IE_GPU* --gtest_output=xml:TEST-NGraphUT.xml
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workingDirectory: $(INSTALL_TEST_DIR)
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@ -334,7 +334,7 @@ jobs:
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displayName: 'Samples Smoke Tests'
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continueOnError: false
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condition: eq(variables['CMAKE_BUILD_SHARED_LIBS'], 'ON')
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enabled: false
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enabled: true
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- script: |
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export DATA_PATH=$(MODELS_PATH)
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@ -353,7 +353,7 @@ jobs:
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workingDirectory: $(LAYER_TESTS_DIR)
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displayName: 'Layer Tests'
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continueOnError: false
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enabled: false
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enabled: true
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- task: PublishTestResults@2
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condition: always()
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@ -2,12 +2,9 @@
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# SPDX-License-Identifier: Apache-2.0
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#! [complex:transformation]
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import logging as log
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import numpy as np
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from mo.front.common.replacement import FrontReplacementSubgraph
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from mo.graph.graph import Graph
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from openvino.tools.mo.front.common.replacement import FrontReplacementSubgraph
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from openvino.tools.mo.graph.graph import Graph
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class Complex(FrontReplacementSubgraph):
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@ -41,4 +38,3 @@ class Complex(FrontReplacementSubgraph):
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# change the connection so now all consumers of "complex_node" get data from input node of strided slice nodes
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complex_node.out_port(0).get_connection().set_source(input_node_output_port)
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#! [complex:transformation]
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@ -4,11 +4,11 @@
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#! [complex_abs:transformation]
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import numpy as np
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from extensions.ops.elementwise import Pow
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from extensions.ops.ReduceOps import ReduceSum
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from mo.front.common.replacement import FrontReplacementOp
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from mo.graph.graph import Graph, Node
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from mo.ops.const import Const
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from openvino.tools.mo.ops.elementwise import Pow
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from openvino.tools.mo.ops.ReduceOps import ReduceSum
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from openvino.tools.mo.front.common.replacement import FrontReplacementOp
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from openvino.tools.mo.graph.graph import Graph, Node
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from openvino.tools.mo.ops.const import Const
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class ComplexAbs(FrontReplacementOp):
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@ -3,8 +3,7 @@
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# ! [fft_ext:extractor]
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from ...ops.FFT import FFT
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from mo.front.extractor import FrontExtractorOp
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from mo.utils.error import Error
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from openvino.tools.mo.front.extractor import FrontExtractorOp
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class FFT2DFrontExtractor(FrontExtractorOp):
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@ -2,9 +2,9 @@
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# SPDX-License-Identifier: Apache-2.0
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#! [fft:operation]
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from mo.front.common.partial_infer.elemental import copy_shape_infer
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from mo.graph.graph import Node, Graph
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from mo.ops.op import Op
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from openvino.tools.mo.front.common.partial_infer.elemental import copy_shape_infer
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from openvino.tools.mo.graph.graph import Graph
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from openvino.tools.mo.ops.op import Op
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class FFT(Op):
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@ -639,9 +639,9 @@ graph. Consider the extractor for the TensorFlow\* operation `Const` (refer to t
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`extensions/front/tf/const_ext.py`):
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```py
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from mo.front.extractor import FrontExtractorOp
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from mo.front.tf.extractors.utils import tf_dtype_extractor, tf_tensor_shape, tf_tensor_content
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from mo.ops.const import Const
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from openvino.tools.mo.front.extractor import FrontExtractorOp
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from openvino.tools.mo.front.tf.extractors.utils import tf_dtype_extractor, tf_tensor_shape, tf_tensor_content
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from openvino.tools.mo.ops.const import Const
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class ConstExtractor(FrontExtractorOp):
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@ -679,9 +679,9 @@ Consider another example with an extractor of ONNX\* operation `Constant` (refer
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from onnx import numpy_helper
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from onnx.numpy_helper import to_array
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from mo.front.extractor import FrontExtractorOp
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from mo.front.onnx.extractors.utils import onnx_attr
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from mo.ops.const import Const
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from openvino.tools.mo.front.extractor import FrontExtractorOp
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from openvino.tools.mo.front.onnx.extractors.utils import onnx_attr
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from openvino.tools.mo.ops.const import Const
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class ConstantExtractor(FrontExtractorOp):
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@ -814,11 +814,11 @@ fusing of the sub-graph defining the [Mish](../../../ops/activation/Mish_4.md) a
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operation:
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```py
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from extensions.front.Softplus_fusion import SoftplusFusion
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from extensions.ops.activation_ops import Mish
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from mo.front.common.replacement import FrontReplacementSubgraph
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from mo.front.subgraph_matcher import SubgraphMatch
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from mo.graph.graph import Graph, rename_nodes
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from openvino.tools.mo.front.Softplus_fusion import SoftplusFusion
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from openvino.tools.mo.ops.activation_ops import Mish
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from openvino.tools.mo.front.common.replacement import FrontReplacementSubgraph
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from openvino.tools.mo.front.subgraph_matcher import SubgraphMatch
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from openvino.tools.mo.graph.graph import Graph, rename_nodes
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class MishFusion(FrontReplacementSubgraph):
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@ -886,12 +886,12 @@ transformation.
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Consider an example transformation from the file is `extensions/front/Pack.py` which replaces operation `Pack` from
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the TensorFlow\*:
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```py
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from mo.front.common.partial_infer.utils import int64_array
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from mo.front.common.replacement import FrontReplacementOp
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from mo.front.tf.graph_utils import create_op_with_const_inputs
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from mo.graph.graph import Node, Graph, rename_nodes
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from mo.ops.concat import Concat
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from mo.ops.unsqueeze import Unsqueeze
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from openvino.tools.mo.front.common.partial_infer.utils import int64_array
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from openvino.tools.mo.front.common.replacement import FrontReplacementOp
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from openvino.tools.mo.front.tf.graph_utils import create_op_with_const_inputs
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from openvino.tools.mo.graph.graph import Node, Graph, rename_nodes
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from openvino.tools.mo.ops.concat import Concat
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from openvino.tools.mo.ops.unsqueeze import Unsqueeze
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class Pack(FrontReplacementOp):
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@ -932,11 +932,11 @@ specification.
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```py
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import logging as log
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from mo.front.common.partial_infer.utils import int64_array
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from mo.front.common.replacement import FrontReplacementPattern
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from mo.graph.graph import Graph
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from mo.ops.const import Const
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from mo.utils.error import Error
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from openvino.tools.mo.front.common.partial_infer.utils import int64_array
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from openvino.tools.mo.front.common.replacement import FrontReplacementPattern
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from openvino.tools.mo.graph.graph import Graph
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from openvino.tools.mo.ops.const import Const
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from openvino.tools.mo.utils.error import Error
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class SqueezeNormalize(FrontReplacementPattern):
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@ -1200,13 +1200,13 @@ The example of the configuration file for this type of transformation is `extens
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and the corresponding transformation file is `./extensions/front/YOLO.py`:
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```py
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from extensions.front.no_op_eraser import NoOpEraser
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from extensions.front.standalone_const_eraser import StandaloneConstEraser
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from extensions.ops.regionyolo import RegionYoloOp
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from mo.front.tf.replacement import FrontReplacementFromConfigFileGeneral
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from mo.graph.graph import Node, Graph
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from mo.ops.result import Result
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from mo.utils.error import Error
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from openvino.tools.mo.front.no_op_eraser import NoOpEraser
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from openvino.tools.mo.front.standalone_const_eraser import StandaloneConstEraser
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from openvino.tools.mo.ops.regionyolo import RegionYoloOp
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from openvino.tools.mo.front.tf.replacement import FrontReplacementFromConfigFileGeneral
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from openvino.tools.mo.graph.graph import Node, Graph
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from openvino.tools.mo.ops.result import Result
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from openvino.tools.mo.utils.error import Error
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class YoloRegionAddon(FrontReplacementFromConfigFileGeneral):
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@ -20,9 +20,9 @@ assume that we have already created the `CustomOp` class (inherited from `Op` cl
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for this MXNet custom operation as described in the [Customize_Model_Optimizer](Customize_Model_Optimizer.md).
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```py
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from extension.ops.custom_op import CustomOp # implementation of the MO operation class
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from mo.front.mxnet.extractors.utils import get_mxnet_layer_attrs
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from mo.front.extractor import MXNetCustomFrontExtractorOp
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from openvino.tools.mo.ops.custom_op import CustomOp # implementation of the MO operation class
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from openvino.tools.mo.front.mxnet.extractors.utils import get_mxnet_layer_attrs
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from openvino.tools.mo.front.extractor import MXNetCustomFrontExtractorOp
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class CustomProposalFrontExtractor(MXNetCustomFrontExtractorOp): # inherit from specific base class
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op = 'MyCustomOp' # the value corresponding to the `op_type` value of the MXNet operation
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@ -40,8 +40,8 @@ operation `ProposalOp` which corresponds to `Proposal` operation described in th
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document. Refer to the source code below for a detailed explanation of the extractor.
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```py
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from extensions.ops.proposal import ProposalOp
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from mo.front.extractor import CaffePythonFrontExtractorOp
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from openvino.tools.mo.ops.proposal import ProposalOp
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from openvino.tools.mo.front.extractor import CaffePythonFrontExtractorOp
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class ProposalPythonFrontExtractor(CaffePythonFrontExtractorOp):
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