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I am facing several issues with my architecture of point net. Which I wish to put on the NCS. Please have a look at the architecture.
The get model function defines the model
and the tf_util files
issues are with max pool function and conv2d . Moreover I am not sure if ncs supports concat , slice etc. how to proceed with it.
or also may consider having a look at the following problem.
input was a verctor of shape 1,2048,6,1 and kernel was of size 1,6,1,64
print(output_size) ---> output [Dimension(1), 2048, 6, Dimension(64)]
print(node.outputs) ----> output Tensor("conv1/Conv2D:0", shape=(1, 2048, 1, 64), dtype=float32)
node.outputs.set_shape(output_size) ----> in this line of code inside /usr/local/bin/ncsdk/Controllers/TensorFlowParser.py line 370
raise ValueError("Shapes %s and %s are not compatible" % (self, other))
ValueError: Shapes (1, 2048, 1, 64) and (1, 2048, 6, 64) are not compatible
and also in maxpool
where input shape :
(1, 2048, 1, 1024)
and please note I had a kernel size of 2048,1 for max pooling
File "/usr/local/bin/mvNCCompile", line 118, in
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 700, in parse_tensor
File "/usr/local/bin/ncsdk/Models/NetworkStage.py", line 279, in init
ValueError: negative dimensions are not allowe