Hey Chris - Thanks for the guidance! With Tim O'Shea's help, I was able to create & train the TensorFlow model in the RadioML repository. I noticed that you made an update to the README steering folks away from the CNN model, for the moment:
Please use the FAM model at the moment, I'm just tweaking the CNN model, as I need to implement 64 sample shifts. I'm assuming that refers to the CNN model in your repository ( https://github.com/chrisruk/models), and not CNN models, generally? I'm going to give the `amc_cnn` flowgraph another shot with my newly trained CNN as soon as I get the chance. Once I get everything up and running and have a better understanding of how it works, I'd like to create some more documentation about how to get this up and running. Your (and Sebastian's) work in `gr-inspector` is not only really impressive but also timely & very useful, and I want to make it accessible to as many people as possible. Even some small notes in the flowgraph about needing a trained model would be helpful, as right now this example relies on the user just knowing that's a necessary prerequisite. I'll keep you posted on my progress =) Cheers, Ben On Fri, Jan 6, 2017 at 5:24 AM, Christopher Richardson < chrisrichardso...@gmail.com> wrote: > Hi Ben, > > I just found this awesome example in the RadioML repo > https://github.com/radioML/examples/blob/master/modulation_ > recognition/RML2016.10a_VTCNN2_example.ipynb > > Which I'd not seen before, I'll update my CNN model generation to make > sure it creates the model in the same way as that. > > (Sorry if you get this mail twice Ben, I forgot to hit reply to all first > time) > > Cheers > Chris > > On Fri, Jan 6, 2017 at 12:21 AM, Christopher Richardson < > chrisrichardso...@gmail.com> wrote: > >> Hi Ben >> >> I think it looks like you haven't generated the model, if I'm >> understanding correctly, for the GRC file. >> >> At the moment the code to generate the models is at: >> https://github.com/chrisruk/models >> >> Tomorrow I'll check that the model generation works with the latest >> version of TensorFlow for you. >> >> If anyone has experience with Keras, I'd love to have someone have a look >> over of the correctness of the models, >> as I seem to have lower accuracy with the Keras models, than when they >> where implemented with TFLearn if I recall >> correctly, which is very odd. >> >> Cheers >> Chris >> >> >> On Thu, Jan 5, 2017 at 9:45 PM, Ben Hilburn <bhilb...@gnuradio.org> >> wrote: >> >>> Hey all - >>> >>> I'm trying to get some of the tensorflow gr-inspector examples up and >>> running, and running into a few hiccups (note that the non-tensorflow >>> flowgraps work fine). I'm using the non-GPU version of tensorflow (`$ sudo >>> pip install tensorflow`) as I don't have an nVidia GPU. >>> >>> With the `amc_cnn` example, I was first getting the following error: >>> >>> RuntimeError: Expected meta graph file missing >>> /tmp/cnn/00000001/export.meta >>> >>> Not really being sure what that was, I created the `/tmp/cnn/00000001/` >>> directory, touched the `export.meta` file, and moved on (this may have been >>> my first mistake). >>> >>> Anyway, it gets a bit further, but dies with this: >>> >>> Executing: /usr/bin/python2 -u /home/bhilburn/code/gnuradio/g >>> r-inspector.git/examples/top_block.py >>> >>> Traceback (most recent call last): >>> File >>> "/home/bhilburn/code/gnuradio/gr-inspector.git/examples/top_block.py", >>> line 139, in <module> >>> main() >>> File >>> "/home/bhilburn/code/gnuradio/gr-inspector.git/examples/top_block.py", >>> line 127, in main >>> tb = top_block_cls() >>> File >>> "/home/bhilburn/code/gnuradio/gr-inspector.git/examples/top_block.py", >>> line 75, in __init__ >>> self.inspector_tfmodel_vcf_0 = inspector.tfmodel_vcf("complex >>> 64",128,'/tmp/cnn/00000001',(),0) >>> File >>> "/home/bhilburn/usr/lib64/python2.7/site-packages/inspector/tfmodel_vcf.py", >>> line 64, in __init__ >>> sess, inp, out,classes = self.load_graph(graphfile) >>> File >>> "/home/bhilburn/usr/lib64/python2.7/site-packages/inspector/tfmodel_vcf.py", >>> line 88, in load_graph >>> signatures_any[0].Unpack(signatures) >>> File >>> "/usr/lib/python2.7/site-packages/google/protobuf/internal/containers.py", >>> line 204, in __getitem__ >>> return self._values[key] >>> IndexError: list index out of range >>> >>> >>> Any ideas / pointers? >>> >>> Cheers, >>> Ben >>> >> >> >
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