Native support for Convolution Layer #147
Description
Use case: I’ve written a module in Python that plays a board game. Part of the module uses a convolutional neural network, which I made with TensorFlow Keras.
I’d like to translate my module into Rust to make it run faster. So I need to be able to run a convolutional neural network in Rust. It’s much more convenient for me to run it on a CPU than on a GPU, even though that makes it slower.
Right now Juice doesn’t support running a Convolution Layer on a CPU:
currently the
nativebackend has an incomplete implementation of theConvolutionLayer, as such it will panic on use.
So I’d like to request support for this.
I would write it myself, except that I’m an absolute beginner at Rust.
It doesn’t have to be very fast—presumably TensorFlow’s convolutional layer is also slower on a CPU, but that has been fast enough for me.
I will pay $20 (at least—it’s negotiable) to whoever implements this.
(Another option is for me to translate almost all of my module into Rust, except for a Python script that the rest of the module calls (using PyO3?) in order to run the neural network. This seems hacky.)