Made MO deprecation message more explicit. (#24512)
### Details: - Made MO deprecation message more explicit. - PyLint fixes ### Tickets: -
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Anastasiia Pnevskaia
GitHub
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eb1eb22931
commit
836dcf5efc
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@ -817,6 +817,9 @@ def _convert(cli_parser: argparse.ArgumentParser, framework, args, python_api_us
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if 'help' in args and args['help']:
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show_mo_convert_help()
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return None, None
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ovc_message = get_ovc_message()
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if ovc_message is not None:
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print(ovc_message)
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simplified_mo_version = VersionChecker().get_mo_simplified_version()
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telemetry = init_mo_telemetry()
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telemetry.start_session('mo')
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@ -904,12 +907,9 @@ def _convert(cli_parser: argparse.ArgumentParser, framework, args, python_api_us
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print(get_compression_message())
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ov_update_message = get_ov_update_message()
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ovc_message = get_ovc_message()
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_, is_caffe, is_mxnet, is_kaldi, _ = deduce_legacy_frontend_by_namespace(argv)
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if ov_update_message is not None:
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print(ov_update_message)
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if ovc_message is not None and not is_caffe and not is_mxnet and not is_kaldi:
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print(ovc_message)
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send_conversion_result('success')
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return ov_model, argv
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@ -94,9 +94,9 @@ class DetectionOutputFrontExtractor(FrontExtractorOp):
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'visualize_threshold': visualize_threshold,
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'save_file': param.save_file,
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# nms_param
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'nms_threshold': nms_threshold,
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'top_k': top_k,
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'eta': eta,
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'nms_threshold': nms_threshold, # pylint: disable=possibly-used-before-assignment
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'top_k': top_k, # pylint: disable=possibly-used-before-assignment
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'eta': eta, # pylint: disable=possibly-used-before-assignment
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# save_output_param
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'output_directory': param.save_output_param.output_directory,
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'output_name_prefix': param.save_output_param.output_name_prefix,
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@ -111,7 +111,7 @@ class DetectionOutputFrontExtractor(FrontExtractorOp):
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'width': param.save_output_param.resize_param.width,
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'height_scale': param.save_output_param.resize_param.height_scale,
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'width_scale': param.save_output_param.resize_param.width_scale,
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'pad_mode': pad_mode,
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'pad_mode': pad_mode, # pylint: disable=possibly-used-before-assignment
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'pad_value': ','.join(str(x) for x in param.save_output_param.resize_param.pad_value),
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'interp_mode': interp_mode,
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}
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@ -69,7 +69,7 @@ class ConvolutionalComponentFrontExtractor(FrontExtractorOp):
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'kernel_spatial_idx': [2, 3],
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'group': 1,
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'reshape_kernel': True,
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'appended_conv': appended_conv
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'appended_conv': appended_conv # pylint: disable=possibly-used-before-assignment
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}
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mapping_rule.update(layout_attrs())
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@ -71,7 +71,7 @@ class ReplaceLstmNonLinearityPattern(FrontReplacementOp):
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if node['use_dropout']:
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mul_dropout_i = Mul(graph, {'name': split_node.soft_get('name', split_node.id) + '/mul_i'}).create_node()
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mul_dropout_i.in_port(0).connect(i_sigmoid.out_port(0))
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mul_dropout_i.in_port(1).connect(i_drop_scale)
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mul_dropout_i.in_port(1).connect(i_drop_scale) # pylint: disable=possibly-used-before-assignment
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i_sigmoid = mul_dropout_i
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# f_t = Sigmoid(f_part + w_fc*ct_1)
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@ -91,7 +91,7 @@ class ReplaceLstmNonLinearityPattern(FrontReplacementOp):
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if node['use_dropout']:
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mul_dropout_f = Mul(graph, {'name': split_node.soft_get('name', split_node.id) + '/mul_f'}).create_node()
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mul_dropout_f.in_port(0).connect(f_sigmoid.out_port(0))
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mul_dropout_f.in_port(1).connect(f_drop_scale)
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mul_dropout_f.in_port(1).connect(f_drop_scale) # pylint: disable=possibly-used-before-assignment
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f_sigmoid = mul_dropout_f
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# c_t = f_t*ct_1 + i_t * tanh(c_part)
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@ -127,7 +127,7 @@ class ReplaceLstmNonLinearityPattern(FrontReplacementOp):
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if node['use_dropout']:
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mul_dropout_o = Mul(graph, {'name': split_node.soft_get('name', split_node.id) + '/mul_o'}).create_node()
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mul_dropout_o.in_port(0).connect(o_sigmoid.out_port(0))
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mul_dropout_o.in_port(1).connect(o_drop_scale)
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mul_dropout_o.in_port(1).connect(o_drop_scale) # pylint: disable=possibly-used-before-assignment
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o_sigmoid = mul_dropout_o
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# m_t = o_t * Tanh(c_t)
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@ -106,7 +106,7 @@ class MXNetSplitLayersToRNNSequence(MiddleReplacementPattern):
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).create_node_with_data()
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if have_hidden:
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layer_hidden_state = hidden_state_value[l * direction: l * direction + direction]
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layer_hidden_state = hidden_state_value[l * direction: l * direction + direction] # pylint: disable=possibly-used-before-assignment
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hidden_state_value_node = Const(
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rnn_layer.graph,
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dict(name=name + '/LayerSplittedHiddenState/{}/'.format(l), value=layer_hidden_state)
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@ -115,7 +115,7 @@ class MXNetSplitLayersToRNNSequence(MiddleReplacementPattern):
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hidden_state_value_node = None
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if have_cell:
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layer_cell_state = cell_state_value[l * direction: l * direction + direction]
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layer_cell_state = cell_state_value[l * direction: l * direction + direction] # pylint: disable=possibly-used-before-assignment
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cell_state_value_node = Const(
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rnn_layer.graph,
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dict(name=name + '/LayerSplittedCellState/{}/'.format(l), value=layer_cell_state)
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@ -154,7 +154,7 @@ class StridedSliceNormalizer(MiddleReplacementPattern):
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if num_insertions > 0:
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# insert blank values for ellipsis unrolling and extending
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for mask_name in StridedSlice.get_mask_names():
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node[mask_name] = np.insert(node[mask_name], insertion_start_idx, [0] * num_insertions).astype(int)
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node[mask_name] = np.insert(node[mask_name], insertion_start_idx, [0] * num_insertions).astype(int) # pylint: disable=possibly-used-before-assignment
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@staticmethod
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def unroll_ellipsis_for_inputs(graph: Graph, node: Node, ellipsis_start: int, num_insertions: int):
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@ -74,7 +74,7 @@ class OneHot(Op):
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hot_idx = *idx, indices[idx]
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if -depth <= indices[idx] < depth:
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onehot_value[hot_idx] = on_value
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onehot_value[hot_idx] = on_value # pylint: disable=possibly-used-before-assignment
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node.out_port(0).data.set_value(onehot_value)
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@ -32,8 +32,9 @@ def get_try_legacy_fe_message():
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def get_ovc_message():
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link = "https://docs.openvino.ai/2023.2/openvino_docs_OV_Converter_UG_prepare_model_convert_model_MO_OVC_transition.html"
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message = '[ INFO ] MO command line tool is considered as the legacy conversion API as of OpenVINO 2023.2 release. ' \
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'Please use OpenVINO Model Converter (OVC). ' \
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message = '[ INFO ] MO command line tool is considered as the legacy conversion API as of OpenVINO 2023.2 release.\n' \
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'In 2025.0 MO command line tool and openvino.tools.mo.convert_model() will be removed. ' \
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'Please use OpenVINO Model Converter (OVC) or openvino.convert_model(). ' \
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'OVC represents a lightweight alternative of MO and provides simplified model conversion API. \n' \
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'Find more information about transition from MO to OVC at {}'.format(link)
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@ -14,7 +14,7 @@ from copy import copy
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if importlib.util.find_spec('absl') is not None:
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import absl.logging
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log.root.removeHandler(absl.logging._absl_handler)
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log.root.removeHandler(absl.logging._absl_handler) # pylint: disable=c-extension-no-member
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handler_num = 0
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