Error compiling SSD mobilenet model

[FPART1]

Dear colleagues,

I'm facing issues to compile a SSD mobilenet v2 model (tensorflow format), please find below the error message:

$ mvNCCompile frozen_inference_graph.pb -in input 

/usr/local/bin/ncsdk/Controllers/Parsers/TensorFlowParser/Convolution.py:44: SyntaxWarning: assertion is always true, perhaps remove parentheses?

assert(False, "Layer type not supported by Convolution: " + obj.type)

mvNCCompile v02.00, Copyright @ Intel Corporation 2017

/usr/local/lib/python3.5/dist-packages/tensorflow/python/util/tf_inspect.py:45: DeprecationWarning: inspect.getargspec() is deprecated, use inspect.signature() instead

Traceback (most recent call last):

File "/usr/local/bin/mvNCCompile", line 169, in <module>

create_graph(args.network, args.image, args.inputnode, args.outputnode, args.outfile, args.nshaves, args.inputsize, args.weights, args.explicit_concat, args.ma2480, args.scheduler, args.new_parser, args)

File "/usr/local/bin/mvNCCompile", line 148, in create_graph

load_ret = load_network(args, parser, myriad_config)

File "/usr/local/bin/ncsdk/Controllers/Scheduler.py", line 100, in load_network

parse_ret = parse_tensor(arguments, myriad_conf)

File "/usr/local/bin/ncsdk/Controllers/TensorFlowParser.py", line 212, in parse_tensor

tf.import_graph_def(graph_def, name="")

File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/util/deprecation.py", line 432, in new_func

return func(*args, **kwargs)

File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/importer.py", line 570, in import_graph_def

raise ValueError('No op named %s in defined operations.' % node.op)

ValueError: No op named NonMaxSuppressionV3 in defined operations.

According to the last release notes, this model is supported by NCS. May I missing something?

I've got this modei in the official Tensorflow model zoo: https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md

I'm running a VM with Ubuntu 16.04 and NCAPI2

Thanks in advance for the support!