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Quantized ops? #15
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We are working on support for operators and kernels that take quantized (fixed-point) data -- we're still working on the right APIs to expose them, and with that we'll have more documentation on why and how they are used. Stay tuned!
Awesome, this is great work 😮
Please give my sincere thanks to 🎅Closing for now. When the quantized ops come online, they'll come with documentation.
@vrv Any news on fixed-point / quantized data type support?
I am designing an FPGA-based accelerator for CNNs as my master thesis in the next few months. It would be awesome to be able to train the models with fixed-point weights and activations.
Do you have any roadmap for fixed-point support?Reacted by hustqmk- added a commit that references this issue
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on Apr 6, 2017 @dgschwend have you find the answer?
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on Aug 28, 2020 @vrv could you please reopen, point to the correct doc, or confirm that is still should be considered internal (though it is exposed in many place by now)
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In the data types section, there are
quantized opshttp://tensorflow.org/resources/dims_types.md#data_types
Found a note here:
tensorflow/tensorflow/cc/ops/const_op.h
Line 65 in d6357a5
Can you explain what these are?