Custom Tensorflow model, output tensor shape error

[idata]

Hi,

I compiled the TF sample and that works fine on my stick. I am trying to run a TF model I wrote, but I keep getting the following error when compiling:

Traceback (most recent call last): File "/usr/local/bin/mvNCCompile", line 118, in <module> create_graph(args.network, 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/TensorFlowParser.py", line 889, in parse_tensor node.outputs[0].set_shape(desired_shape) File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/framework/ops.py", line 378, in set_shape self._shape = self._shape.merge_with(shape) File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/framework/tensor_shape.py", line 555, in merge_with other = as_shape(other) File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/framework/tensor_shape.py", line 833, in as_shape return TensorShape(shape) File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/framework/tensor_shape.py", line 439, in __init__ self._dims = [as_dimension(d) for d in dims_iter] File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/framework/tensor_shape.py", line 439, in <listcomp> self._dims = [as_dimension(d) for d in dims_iter] File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/framework/tensor_shape.py", line 381, in as_dimension return Dimension(value) File "/usr/local/lib/python3.4/dist-packages/tensorflow/python/framework/tensor_shape.py", line 37, in __init__ raise ValueError("Dimension %d must be >= 0" % self._value) ValueError: Dimension -1 must be >= 0

Ive set the shape of the output tensor and also tried just specifying the input tensor as output tensor directly for evaluation, but I keep getting the same error. Does anyone have any idea what I'm doing wrong?

Thanks