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[ 2019-12-30 10:44:52,271 ] [ DEBUG ] [ infer:131 ] Op: ShapeOf [ WARNING ] ShapeOf operation should have exact one input node, but it has 0 [ 2019-12-30 10:44:52,272 ] [ DEBUG ] [ infer:142 ] Inputs: [ 2019-12-30 10:44:52,272 ] [ DEBUG ] [ infer:144 ] Outputs: [ 2019-12-30 10:44:52,272 ] [ DEBUG ] [ infer:32 ] output[0]: shape = <UNKNOWN>, value = <UNKNOWN> [ ERROR ] Shape is not defined for output 0 of "gradients/deep_bidirectional_lstm/stack_bidirectional_rnn/cell_0/bidirectional_rnn/bw/bw/while/basic_lstm_cell/Mul_2_grad/Shape". [ ERROR ] Cannot infer shapes or values for node "gradients/deep_bidirectional_lstm/stack_bidirectional_rnn/cell_0/bidirectional_rnn/bw/bw/while/basic_lstm_cell/Mul_2_grad/Shape". [ ERROR ] Not all output shapes were inferred or fully defined for node "gradients/deep_bidirectional_lstm/stack_bidirectional_rnn/cell_0/bidirectional_rnn/bw/bw/while/basic_lstm_cell/Mul_2_grad/Shape". For more information please refer to Model Optimizer FAQ (https://docs.openvinotoolkit.org/latest/_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html), question #40. [ ERROR ] [ ERROR ] It can happen due to bug in custom shape infer function <function Shape.infer at 0x7feb39db3d08>. [ ERROR ] Or because the node inputs have incorrect values/shapes. [ ERROR ] Or because input shapes are incorrect (embedded to the model or passed via --input_shape). [ 2019-12-30 10:44:52,275 ] [ DEBUG ] [ infer:196 ] Node "gradients/deep_bidirectional_lstm/stack_bidirectional_rnn/cell_0/bidirectional_rnn/bw/bw/while/basic_lstm_cell/Mul_2_grad/Shape" attributes: {'pb': name: "gradients/deep_bidirectional_lstm/stack_bidirectional_rnn/cell_0/bidirectional_rnn/bw/bw/while/basic_lstm_cell/Mul_2_grad/Shape" op: "Shape" input: "deep_bidirectional_lstm/stack_bidirectional_rnn/cell_0/bidirectional_rnn/bw/bw/while/basic_lstm_cell/Tanh_1" attr { key: "T" value { type: DT_FLOAT } } attr { key: "_output_shapes" value { list { shape { dim { size: 2 } } } } } attr { key: "out_type" value { type: DT_INT32 } } , '_in_ports': {0: {'control_flow': False}}, '_out_ports': {0: {'control_flow': False}}, 'kind': 'op', 'name': 'gradients/deep_bidirectional_lstm/stack_bidirectional_rnn/cell_0/bidirectional_rnn/bw/bw/while/basic_lstm_cell/Mul_2_grad/Shape', 'op': 'ShapeOf', 'precision': 'FP32', 'type': 'ShapeOf', 'infer': <function Shape.infer at 0x7feb39db3d08>, 'in_ports_count': 1, 'out_ports_count': 1, 'data_type': <class 'numpy.int32'>, 'dim_attrs': ['batch_dims', 'channel_dims', 'axis', 'spatial_dims'], 'shape_attrs': ['pad', 'window', 'shape', 'stride', 'output_shape'], 'IE': [('layer', [('id', <function Op.substitute_ie_attrs.<locals>.<lambda> at 0x7feb04b579d8>), 'name', 'precision', 'type'], [('data', [], []), '@ports', '@consts'])], 'is_output_reachable': True, 'is_undead': False, 'is_const_producer': False, 'is_partial_inferred': False} [ ERROR ] Not all output shapes were inferred or fully defined for node "gradients/deep_bidirectional_lstm/stack_bidirectional_rnn/cell_0/bidirectional_rnn/bw/bw/while/basic_lstm_cell/Mul_2_grad/Shape". For more information please refer to Model Optimizer FAQ (https://docs.openvinotoolkit.org/latest/_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html), question #40. Stopped shape/value propagation at "gradients/deep_bidirectional_lstm/stack_bidirectional_rnn/cell_0/bidirectional_rnn/bw/bw/while/basic_lstm_cell/Mul_2_grad/Shape" node. For more information please refer to Model Optimizer FAQ (https://docs.openvinotoolkit.org/latest/_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html), question #38. Exception occurred during running replacer "REPLACEMENT_ID" (<class 'extensions.middle.PartialInfer.PartialInfer'>): Not all output shapes were inferred or fully defined for node "gradients/deep_bidirectional_lstm/stack_bidirectional_rnn/cell_0/bidirectional_rnn/bw/bw/while/basic_lstm_cell/Mul_2_grad/Shape". For more information please refer to Model Optimizer FAQ (https://docs.openvinotoolkit.org/latest/_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html), question #40. Stopped shape/value propagation at "gradients/deep_bidirectional_lstm/stack_bidirectional_rnn/cell_0/bidirectional_rnn/bw/bw/while/basic_lstm_cell/Mul_2_grad/Shape" node. For more information please refer to Model Optimizer FAQ (https://docs.openvinotoolkit.org/latest/_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html), question #38. [ 2019-12-30 10:44:52,276 ] [ DEBUG ] [ main:304 ] Traceback (most recent call last): File "/opt/intel/openvino_2019.3.376/deployment_tools/model_optimizer/mo/middle/passes/infer.py", line 168, in partial_infer node_name) mo.utils.error.Error: Not all output shapes were inferred or fully defined for node "gradients/deep_bidirectional_lstm/stack_bidirectional_rnn/cell_0/bidirectional_rnn/bw/bw/while/basic_lstm_cell/Mul_2_grad/Shape". For more information please refer to Model Optimizer FAQ (https://docs.openvinotoolkit.org/latest/_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html), question #40. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/intel/openvino_2019.3.376/deployment_tools/model_optimizer/mo/utils/class_registration.py", line 273, in apply_replacements for_graph_and_each_sub_graph_recursively(graph, replacer.find_and_replace_pattern) File "/opt/intel/openvino_2019.3.376/deployment_tools/model_optimizer/mo/middle/pattern_match.py", line 58, in for_graph_and_each_sub_graph_recursively func(graph) File "/opt/intel/openvino_2019.3.376/deployment_tools/model_optimizer/extensions/middle/PartialInfer.py", line 31, in find_and_replace_pattern partial_infer(graph) File "/opt/intel/openvino_2019.3.376/deployment_tools/model_optimizer/mo/middle/passes/infer.py", line 198, in partial_infer refer_to_faq_msg(38)) from err mo.utils.error.Error: Not all output shapes were inferred or fully defined for node "gradients/deep_bidirectional_lstm/stack_bidirectional_rnn/cell_0/bidirectional_rnn/bw/bw/while/basic_lstm_cell/Mul_2_grad/Shape". For more information please refer to Model Optimizer FAQ (https://docs.openvinotoolkit.org/latest/_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html), question #40. Stopped shape/value propagation at "gradients/deep_bidirectional_lstm/stack_bidirectional_rnn/cell_0/bidirectional_rnn/bw/bw/while/basic_lstm_cell/Mul_2_grad/Shape" node. For more information please refer to Model Optimizer FAQ (https://docs.openvinotoolkit.org/latest/_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html), question #38. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/opt/intel/openvino_2019.3.376/deployment_tools/model_optimizer/mo/main.py", line 298, in main return driver(argv) File "/opt/intel/openvino_2019.3.376/deployment_tools/model_optimizer/mo/main.py", line 247, in driver is_binary=not argv.input_model_is_text) File "/opt/intel/openvino_2019.3.376/deployment_tools/model_optimizer/mo/pipeline/tf.py", line 138, in tf2nx class_registration.apply_replacements(graph, class_registration.ClassType.MIDDLE_REPLACER) File "/opt/intel/openvino_2019.3.376/deployment_tools/model_optimizer/mo/utils/class_registration.py", line 293, in apply_replacements )) from err mo.utils.error.Error: Not all output shapes were inferred or fully defined for node "gradients/deep_bidirectional_lstm/stack_bidirectional_rnn/cell_0/bidirectional_rnn/bw/bw/while/basic_lstm_cell/Mul_2_grad/Shape". For more information please refer to Model Optimizer FAQ (https://docs.openvinotoolkit.org/latest/_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html), question #40. Stopped shape/value propagation at "gradients/deep_bidirectional_lstm/stack_bidirectional_rnn/cell_0/bidirectional_rnn/bw/bw/while/basic_lstm_cell/Mul_2_grad/Shape" node. For more information please refer to Model Optimizer FAQ (https://docs.openvinotoolkit.org/latest/_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html), question #38. Exception occurred during running replacer "REPLACEMENT_ID" (<class 'extensions.middle.PartialInfer.PartialInfer'>): Not all output shapes were inferred or fully defined for node "gradients/deep_bidirectional_lstm/stack_bidirectional_rnn/cell_0/bidirectional_rnn/bw/bw/while/basic_lstm_cell/Mul_2_grad/Shape". For more information please refer to Model Optimizer FAQ (https://docs.openvinotoolkit.org/latest/_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html), question #40. Stopped shape/value propagation at "gradients/deep_bidirectional_lstm/stack_bidirectional_rnn/cell_0/bidirectional_rnn/bw/bw/while/basic_lstm_cell/Mul_2_grad/Shape" node. For more information please refer to Model Optimizer FAQ (https://docs.openvinotoolkit.org/latest/_docs_MO_DG_prepare_model_Model_Optimizer_FAQ.html), question #38.

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