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This repository was archived by the owner on Oct 24, 2024. It is now read-only.
Plan #1
Description
Activity
In future You planing using tensorflow lite? Meybe with compiling tensorflow lite directly in gem? or only convert https://www.tensorflow.org/lite/microcontrollers/build_convert
doesn't the TF python API use swig? Maybe that'd be a better way to do the ruby port?
@sp00ck (sorry for the long delay) There aren't any plans to support TensorFlow Lite.
@eggie5 From what I can tell, it uses the C++ API (but not SWIG). This is probably the quickest path forward, but requires a complete rewrite. Someone is welcome to try this.
@Ashvith Let me know if you find the updated link.
Reacted by 0xtrzy and Łukasz MarekGreat, updated.
Reacted by 0xtrzyAny plans to support the Tensorboard utils ?
Reacted by Łukasz Marek
Current status: the C API doesn't yet support gradients for eager tensors, so work is on-hold until it's added. Two alternatives approaches are 1. use the graph (TensorFlow 1.0) API or 2. use the C++ API instead.
Plan
TF_GetAllOpListortensorflow/core/ops/ops.pbtxtTf::RawOpsTf::Maththat usesTf::RawOpsTfmethods that usesTf::MathData::Datasetmodulekeras_beginnerbranchkeras_advancedbranchsaved_modelbranchResources
Maybe (later)
Tf::Keras::Models::Sequential->Tf::SequentialorTf::SequentialModelTf::Data::Dataset->Tf::Dataset