Tirth27
commented
3 years ago I am also facing an issue with the conversion of the EfficientNet model.
It gives an error:
tf executing eager_mode: True
tf.keras model eager_mode: False
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-6-f36257e9acf1> in <module>
1 output_model_path = "./saveModel/Model16_EffB7_No_meta.onnx"
----> 2 onnx_model = keras2onnx.convert_keras(model, model.name)
3 keras2onnx.save_model(onnx_model, output_model_path)
/anaconda/envs/azureml_py38/lib/python3.8/site-packages/keras2onnx/main.py in convert_keras(model, name, doc_string, target_opset, channel_first_inputs, debug_mode, custom_op_conversions)
78 parse_graph_modeless(topology, tf_graph, target_opset, input_names, output_names, output_dict)
79 else:
---> 80 parse_graph(topology, tf_graph, target_opset, output_names, output_dict)
81 topology.compile()
82
/anaconda/envs/azureml_py38/lib/python3.8/site-packages/keras2onnx/parser.py in parse_graph(topo, graph, target_opset, output_names, keras_node_dict)
837 topo.raw_model.add_output_name(str_value)
838
--> 839 return _parse_graph_core_v2(
840 graph, keras_node_dict, topo, top_level, output_names
841 ) if is_tf2 and is_tf_keras else _parse_graph_core(
/anaconda/envs/azureml_py38/lib/python3.8/site-packages/keras2onnx/parser.py in _parse_graph_core_v2(graph, keras_node_dict, topology, top_scope, output_names)
725 _on_parsing_time_distributed_layer(graph, layer_info.nodelist, layer_info.layer, model_, varset)
726 elif layer_info.layer and get_converter(type(layer_info.layer)):
--> 727 on_parsing_keras_layer_v2(graph, layer_info, varset)
728 else:
729 _on_parsing_tf_nodes(graph, layer_info.nodelist, varset, topology.debug_mode)
/anaconda/envs/azureml_py38/lib/python3.8/site-packages/keras2onnx/_parser_tf.py in on_parsing_keras_layer_v2(graph, layer_info, varset, prefix)
330 iname = prefix + i_.name
331 k2o_logger().debug('\tinput : ' + iname)
--> 332 var_type = adjust_input_batch_size(infer_variable_type(i_, varset.target_opset))
333 i0 = varset.get_local_variable_or_declare_one(iname, var_type)
334 operator.add_input(i0)
/anaconda/envs/azureml_py38/lib/python3.8/site-packages/keras2onnx/_parser_tf.py in infer_variable_type(tensor, opset, inbound_node_shape)
45 return BooleanTensorType(shape=tensor_shape)
46 else:
---> 47 raise ValueError(
48 "Unable to find out a correct type for tensor type = {} of {}".format(tensor_type, tensor.name))
49
ValueError: Unable to find out a correct type for tensor type = 20 of top_bn/ReadVariableOp/resource:0And when I tried the example script it gives me the following error:
tf executing eager_mode: True
tf.keras model eager_mode: False
---------------------------------------------------------------------------
AssertionError Traceback (most recent call last)
<ipython-input-13-f65dad0d3c63> in <module>
1 import keras2onnx
2 output_model_path = "keras_efficientNet.onnx"
----> 3 onnx_model = keras2onnx.convert_keras(model, model.name)
4 keras2onnx.save_model(onnx_model, output_model_path)
/anaconda/envs/azureml_py38/lib/python3.8/site-packages/keras2onnx/main.py in convert_keras(model, name, doc_string, target_opset, channel_first_inputs, debug_mode, custom_op_conversions)
81 topology.compile()
82
---> 83 return convert_topology(topology, name, doc_string, target_opset, channel_first_inputs)
84
85
/anaconda/envs/azureml_py38/lib/python3.8/site-packages/keras2onnx/topology.py in convert_topology(topology, model_name, doc_string, target_opset, channel_first_inputs)
325 graph = None
326 extra_inputs = _build_extra_inputs(container)
--> 327 nodes = _remove_unused_nodes(container.nodes, container.inputs + extra_inputs, container.outputs)
328
329 if not topology.debug_mode:
/anaconda/envs/azureml_py38/lib/python3.8/site-packages/keras2onnx/topology.py in _remove_unused_nodes(nodes, inputs, outputs)
229 node_inputs.append(output_dict[in_])
230 else:
--> 231 assert in_ == '' or in_ in input_dict, \
232 "{} is disconnected, check the parsing log for more details.".format(in_)
233
AssertionError: input_1:01 is disconnected, check the parsing log for more details.
jhelsas
Dear keras2onnx mantainers,
I am trying to convert a keras model to onnx format using your library, but I am having trouble. I first tried with my model, then I tried just running the example notebook and it failed. the error on my model is the following:
Which is essentially the same as the one I found running the example notebook in here :
I have tried with tensorflow 2.4.0 and 2.1.0, the later recommended in the notebook. I don't really know how to proceed from here, if you have any suggestion it would be greatly appreciated.
Best regards,
José hugo Elsas