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Not able to convert my TensorFlow model to Movidius graph file



I am working on a CNN implementation for speech enhancement. I have a TensorFlow checkpoint model (*.meta) file and am trying to compile it into a Movidius graph file so I can load it onto the NCS for inference. I followed the instructions in, but I am still seeing problems compiling.


The main problem is that I am not able to figure out what names to give the compiler for input node and output node, since I did not add named nodes to my model during training. I tried looking at the model in Tensorboard and dumping the graph into a text file after loading it with tf.get_default_graph() to find those names. But, since the model is pretty complex, it is hard to match up the names with the nodes in the model.


Is there a way to detect the input and output nodes given a TensorFlow model? I can provide my model if needed.


When I use what I believe are the correct input/output nodes, this is what I see:


$ mvNCCompile model.ckpt-49999-inf.meta -in con1/Conv2D -on con10/add -o model.graph


mvNCCompile v02.00, Copyright @ Movidius Ltd 2016


/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ DeprecationWarning: builtin type EagerTensor has no module attribute


EagerTensor = c_api.TFE_Py_InitEagerTensor(_EagerTensorBase)


/usr/local/lib/python3.5/dist-packages/tensorflow/python/util/ DeprecationWarning: inspect.getargspec() is deprecated, use inspect.signature() instead


if d.decorator_argspec is not None), _inspect.getargspec(target))


/usr/local/lib/python3.5/dist-packages/h5py/ FutureWarning: Conversion of the second argument of issubdtype from float to np.floating is deprecated. In future, it will be treated as np.float64 == np.dtype(float).type.


from ._conv import register_converters as _register_converters


/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ DeprecationWarning: The binary mode of fromstring is deprecated, as it behaves surprisingly on unicode inputs. Use frombuffer instead


return np.fromstring(tensor.tensor_content, dtype=dtype).reshape(shape)


Traceback (most recent call last):


File "/usr/local/bin/mvNCCompile", line 118, in


create_graph(, args.inputnode, args.outputnode, args.outfile, args.nshaves, args.inputsize, args.weights)


File "/usr/local/bin/mvNCCompile", line 104, in create_graph


net = parse_tensor(args, myriad_config)


File "/usr/local/bin/ncsdk/Controllers/", line 290, in parse_tensor


if have_first_input(strip_tensor_id(node.outputs[0].name)):


IndexError: list index out of range


System details:


I'm using Ubuntu 16.04 on an Intel® Core™ i3-5010U CPU and Intel® HD Graphics 5500 (Broadwell GT2) GPU.


tensorflow version is 1.8.0


NCSDK version is




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