onnx-tensorflow
cbindgen
onnx-tensorflow | cbindgen | |
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6 | 19 | |
1,236 | 2,205 | |
0.6% | 1.5% | |
0.0 | 7.8 | |
about 1 month ago | 13 days ago | |
Python | Rust | |
GNU General Public License v3.0 or later | Mozilla Public License 2.0 |
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onnx-tensorflow
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How to Solve "BackendIsNotSupposedToImplementIt: Unsqueeze version 13 is not implemented."?
How to solve this? I found below github issue which they solved i think, but im not to able to find the solution https://github.com/onnx/onnx-tensorflow/pull/1022
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[D] Library to transfer PyTorch to TF
Okay, maybe it worked some years ago. The issue currently is that the trainable weights get lost...which is by design https://github.com/onnx/onnx-tensorflow/issues/1002
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Has anyone successfully converted an onnx model to tensorflow? Here's the problems I'm having...
TLDR: I'm using onnx-tf to convert an onnx model to tensorflow. During the conversion I lose important information such as inputs, outputs and the names of operators. Please read on if you have experience with this library or you've experienced similar issues. :)
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Portability of Rust in 2021
We had a few small issues with ONNX. Export worked but when running with e.g. tflite stumbled for example across this https://github.com/onnx/onnx-tensorflow/issues/853 Also the support for sampling from distributions is generally still pretty weak, but we were able to work around that.
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[D] How to reduce latency of DL models
https://pytorch.org/tutorials/advanced/super\_resolution\_with\_onnxruntime.html https://github.com/onnx/onnx-tensorflow
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Possible to retrain onnx model?
https://github.com/onnx/onnx-tensorflow Haven’t tried it, let me know if it works.
cbindgen
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Hello World in Go From Rust
Golang uses cgo to communicate with external C libraries and Rust uses FFI (Foreign function interfaces) to export C functions. Additionally, a library for automatically generating bindings can be used to generate the header files (.h). In our case, we'll only be exporting two C functions, so using cbindgen is overkill but we'll use it regardless because why not? Firstly, we'll write the rust functions we want to export. We'll start by creating a new rust library:
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Ask HN: Automating multi-lang communication with a meta programming language
[1]: https://github.com/mozilla/cbindgen
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Nim v2.0 Released
As a 2-step approach, you could also probably use https://github.com/mozilla/cbindgen and then Nim's native C FFI.
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ffizz: Build a Beautiful C API in Rust
The tooling for the first kind -- calling Rust from another language -- is a bit less developed, and tends to rely on code generation that doesn't necessarily produce a natural C API. cbindgen, uniffi, cxx, and Diplomat all take this course.
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How can I use rust libraries in zig/C
There's also cbindgen for automating the generation of C headers once you've got your code in the right shape and you'll also want to read the Rustonomicon.
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C Strings and my slow descent to madness
You can backport Rust standard library to C using https://github.com/eqrion/cbindgen .
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Rust FFI and cbindgen: Integrating Embedded Rust Code in C
Later we'll see what cbindgen essentially does is receive a configuration and a Rust library and then spit out a C header (.h) file. One might think that what cbindgen is doing might not be that special and can be done by hand. In which some cases that might be true if the project is simple enough. Though additionally as the cbindgen documentation states:
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Nautilus just fucked me. (Gnome paper cuts)
Fuck it, I'll take the bait. Rust allows for amazing C interop by allowing for exporting of C types as a dynamic library, like C. Unlike C, this still allows for Rust's advanced checking at compile time. librsvg is one such library that is being used in the GTK ecosystem that is also almost completely Rust. You can use tools like cbindgen to generate C bindings.
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Hey Rustaceans! Got a question? Ask here! (47/2022)!
Or alternatively cbindgen to create the header file from the Rust source.
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7 ways to pass a string between 🦀 Rust and C
The easiest way to obtain the headers for the rust code is to use the cbingen library.
What are some alternatives?
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
rust-bindgen - THIS CRATE IS DEPRECATED, please use https://github.com/servo/rust-bindgen.
netron - Visualizer for neural network, deep learning and machine learning models
cxx - Safe interop between Rust and C++
tokenizers - 💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
rusty-cheddar - A Rust crate for automatically generating C header files from Rust source file.
guesslang - Detect the programming language of a source code
flutter_rust_bridge - Flutter/Dart <-> Rust binding generator, feature-rich, but seamless and simple.
models - Models and examples built with TensorFlow
tch-rs - Rust bindings for the C++ api of PyTorch.
pytorch2keras - PyTorch to Keras model convertor
Module Linker - browse modules by clicking directly on "import" statements on GitHub