Module: Torch::Native::Generator

Defined in:
lib/torch/native/generator.rb

Class Method Summary collapse

Class Method Details

.generate_cpp_functions ⇒ Object 



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# File 'lib/torch/native/generator.rb', line 10

def generate_cpp_functions
  functions = grouped_functions
  generate_cpp_file("torch", :define_singleton_method, functions[:torch])
  generate_cpp_file("tensor", :define_method, functions[:tensor])
  generate_cpp_file("nn", :define_singleton_method, functions[:nn])
end

.grouped_functions ⇒ Object 



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# File 'lib/torch/native/generator.rb', line 17

def grouped_functions
  functions = functions()

  # skip functions
  skip_args = ["Layout", "Storage", "ConstQuantizerPtr"]

  # remove functions
  functions.reject! do |f|
    f.ruby_name.start_with?("_") ||
    f.ruby_name.include?("_backward") ||
    f.args.any? { |a| a[:type].include?("Dimname") }
  end

  # separate out into todo
  todo_functions, functions =
    functions.partition do |f|
      f.args.any? do |a|
        skip_args.any? { |sa| a[:type].include?(sa) } ||
        # call to 'range' is ambiguous
        f.cpp_name == "_range" ||
        # native_functions.yaml is missing size argument for normal
        # https://pytorch.org/cppdocs/api/function_namespacetorch_1a80253fe5a3ded4716ec929a348adb4b9.html
        (f.base_name == "normal" && !f.out?)
      end
    end

  # todo_functions.each do |f|
  #   puts f.func
  #   puts
  # end

  nn_functions, other_functions = functions.partition { |f| f.python_module == "nn" }
  torch_functions = other_functions.select { |f| f.variants.include?("function") }
  tensor_functions = other_functions.select { |f| f.variants.include?("method") }

  {torch: torch_functions, tensor: tensor_functions, nn: nn_functions}
end