ExecuTorch-Ruby: Run PyTorch models in Ruby

Summary

ExecuTorch Ruby Run PyTorch models in Ruby. ExecuTorch is Meta's lightweight runtime for deploying PyTorch models on edge devices. This gem provides Ruby bindings so you can run exported models ( .pte files) directly in your Ruby applications. Quick Start require "executorch" # Load a model model = Executorch :: Model . new ( "model.pte" ) # Create input tensor input = Executorch :: Tensor . new ( [ [ 1.0 , 2.0 , 3.0 ] ] ) # Run inference output = model . predict ( [ input ] ) . first puts output . to_a # => [[3.0, 5.0, 7.0]] Installation Requirements: Ruby 3.0+, macOS or Linux, C++17 compiler Step 1: Build ExecuTorch ExecuTorch must be built from source. Follow the official guide, or use these commands: git clone https://github.com/pytorch/executorch.git cd executorch ./install_requirements.sh cmake -B cmake-out \ -DCMAKE_INSTALL_PREFIX=vendor/executorch \ -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON \ -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON \ -DEXECUTORCH_BUILD_EXTENSION_TENSOR=ON \ -DCMAKE_BUILD_TYPE=Release cmake --build cmake-out -j4 cmake --install cmake-out Step 2: Install the Gem Tell Bundler where ExecuTorch is installed (only needed once per project): bundle config set --local build.executorch --with-executorch-dir=vendor/executorch Add to your Gemfile: gem "executorch" Then: bundle install CI/CD: Use the environment variable instead: EXECUTORCH_DIR=/path/to/executorch bundle install Usage Tensors Create tensors from nested arrays (shape is inferred): # 2D tensor, shape [2, 3] tensor = Executorch :: Tensor . new ( [ [ 1.0 , 2.0 , 3.0 ] , [ 4.0 , 5.0 , 6.0 ] ] ) # With explicit dtype tensor = Executorch :: Tensor . new ( [ [ 1 , 2 ] , [ 3 , 4 ] ] , dtype : :long ) # Inspect tensor . shape # => [2, 3] tensor . dtype # => :float tensor . to_a # => [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]] Or from flat arrays with explicit shape: tensor = Executorch :: Tensor . new ( [ 1.0 , 2.0 , 3.0 , 4.0 ] , shape : [ 2 , 2 ] ) Supported dtypes: :float (default), :double , :int , :l...