值错误:您传入了一个可迭代属性,但我无法弄清楚其适用类型



我正在尝试使用tf2onnx工具将facenet模型(20170512-110547.pb(转换为onnx格式。但是当我尝试使用此命令转换它时

python3 -m tf2onnx.convert
--input 20170512-110547.pb
--inputs input:0,phase_train:0
--outputs embeddings:0
--output model.onnx
--verbose

它给了我这个错误

ValueError:

ValueError: 您传入了一个可迭代的属性,但我无法弄清楚其适用的类型。

完整错误日志

2019-10-20 12:12:56,655 - WARNING - tf2onnx.shape_inference: Cannot infer shape for image_batch: image_batch:0
2019-10-20 12:12:56,655 - WARNING - tf2onnx.shape_inference: Cannot infer shape for batch_join: batch_join:0,batch_join:1
2019-10-20 12:12:56,655 - WARNING - tf2onnx.shape_inference: Cannot infer shape for input: input:0
2019-10-20 12:12:56,844 - ERROR - tf2onnx.tfonnx: pass1 convert failed for name: "batch_join/fifo_queue"
op: "FIFOQueueV2"
attr {
key: "capacity"
value {
i: 1440
}
}
attr {
key: "component_types"
value {
list {
type: DT_FLOAT
type: DT_INT64
}
}
}
attr {
key: "container"
value {
s: ""
}
}
attr {
key: "shapes"
value {
list {
shape {
dim {
size: 160
}
dim {
size: 160
}
dim {
size: 3
}
}
shape {
}
}
}
}
attr {
key: "shared_name"
value {
s: ""
}
}
, ex=You passed in an iterable attribute but I cannot figure out its applicable type.
Traceback (most recent call last):
File "/usr/lib/python3.5/runpy.py", line 184, in _run_module_as_main
"__main__", mod_spec)
File "/usr/lib/python3.5/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/home/sneha/Downloads/tensorflow-onnx-master/tf2onnx/convert.py", line 161, in <module>
main()
File "/home/sneha/Downloads/tensorflow-onnx-master/tf2onnx/convert.py", line 145, in main
inputs_as_nchw=args.inputs_as_nchw)
File "/home/sneha/Downloads/tensorflow-onnx-master/tf2onnx/tfonnx.py", line 493, in process_tf_graph
onnx_nodes, op_cnt, attr_cnt, output_shapes, dtypes = tensorflow_to_onnx(tf_graph, shape_override)
File "/home/sneha/Downloads/tensorflow-onnx-master/tf2onnx/tfonnx.py", line 122, in tensorflow_to_onnx
return tflist_to_onnx(graph.get_operations(), shape_override)
File "/home/sneha/Downloads/tensorflow-onnx-master/tf2onnx/tfonnx.py", line 109, in tflist_to_onnx
onnx_node = helper.make_node(node.type, input_names, output_names, name=node.name, **attr)
File "/home/sneha/.local/lib/python3.5/site-packages/onnx/helper.py", line 56, in make_node
for key, value in sorted(kwargs.items()))
File "/home/sneha/.local/lib/python3.5/site-packages/onnx/helper.py", line 56, in <genexpr>
for key, value in sorted(kwargs.items()))
File "/home/sneha/.local/lib/python3.5/site-packages/onnx/helper.py", line 269, in make_attribute
"You passed in an iterable attribute but I cannot figure out "
ValueError: You passed in an iterable attribute but I cannot figure out its applicable type.

我所拥有的只是.pb文件和tf2onnx工具。

如果有人能给时间回答这个问题,我将不胜感激!谢谢。

我没有删除phase_train输入分支,这就是此错误的根源, 我创建了仅推理图(引用链接(,然后它没有给我任何错误。

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