You might want to reach out to the TensorFlow folks with your question. I haven't really worked with TensorFlow much myself but it sounds to me like what you're asking is more about TensorFlow than protobuf.
On Mon, Dec 3, 2018 at 2:54 PM Philipp Kraus < [email protected]> wrote: > Hello, there, > > I am currently working with Tensorflow for the first time and as far as I > know Tensorflow uses Protocol Buffers to store the data. I work on IoT > devices in a protected network and I have to deliver the data of a > Tensorflow DNNClassifier to external systems. These may be databases, but I > may also need to communicate with industrial controls as a byte stream. > Especially in this case I can only transfer primitive data like Int, Float, > Char etc. If I have now trained a Tensorflow DNNClassifier, a local > directory with the stored data will be created for me and I would now like > to read and process this data in native Python data types such as a Dict or > similar. How can I do this? > I also get a model as a native byte stream and would have to use it again > to generate a DNNClassifier. How can I realize this? > > I am currently quite "new" with Tensorflow and Protocol Buffers. > > Thank you very much for your help. > > Phil > > -- > You received this message because you are subscribed to the Google Groups > "Protocol Buffers" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to [email protected]. > To post to this group, send email to [email protected]. > Visit this group at https://groups.google.com/group/protobuf. > For more options, visit https://groups.google.com/d/optout. > -- You received this message because you are subscribed to the Google Groups "Protocol Buffers" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at https://groups.google.com/group/protobuf. For more options, visit https://groups.google.com/d/optout.
