Class: Torch::Native::Parser

Inherits:
Object
  • Object
show all
Defined in:
lib/torch/native/parser.rb

Instance Method Summary collapse

Constructor Details

#initialize(functions) ⇒ Parser

Returns a new instance of Parser.



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# File 'lib/torch/native/parser.rb', line 4

def initialize(functions)
  @functions = functions
  @name = @functions.first.ruby_name
  @min_args = @functions.map { |f| f.args.count { |a| a[:pos] && a[:default].nil? } }.min
  @max_args = @functions.map { |f| f.args.count { |a| a[:pos] } }.max
end

Instance Method Details

#parse(args, options) ⇒ Object 



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# File 'lib/torch/native/parser.rb', line 11

def parse(args, options)
  candidates = @functions.dup

  if args.size < @min_args || args.size > @max_args
    expected = String.new(@min_args.to_s)
    expected += "..#{@max_args}" if @max_args != @min_args
    return {error: "wrong number of arguments (given #{args.size}, expected #{expected})"}
  end

  # exclude functions where options don't match
  options.each do |k, v|
    candidates.select! do |func|
      func.args.any? { |a| a[:name] == k.to_s }
    end
    # TODO show all bad keywords at once like Ruby?
    return {error: "unknown keyword: #{k}"} if candidates.empty?
  end

  # exclude functions missing required options
  candidates.reject! do |func|
    # TODO make more generic
    func.out? && !options[:out]
  end

  final_values = {}

  # check args
  candidates.select! do |func|
    good = true

    values = args.zip(func.args).map { |a, fa| [fa[:name], a] }.to_h
    values.merge!(options.map { |k, v| [k.to_s, v] }.to_h)
    func.args.each do |fa|
      values[fa[:name]] ||= fa[:default]
    end

    arg_types = func.args.map { |a| [a[:name], a[:type]] }.to_h

    values.each do |k, v|
      t = arg_types[k].split("(").first
      good =
        case t
        when "Tensor"
          v.is_a?(Tensor)
        when "Tensor[]"
          v.all? { |v2| v2.is_a?(Tensor) }
        when "int"
          v.is_a?(Integer)
        when "int[]"
          v.all? { |v2| v2.is_a?(Integer) }
        when "Scalar"
          v.is_a?(Numeric)
        when "bool"
          v == true || v == false
        else
          raise Error, "Unknown argument type: #{arg_types[k]}. Please report a bug with #{@name}"
        end

      if !good
        if candidates.size == 1
          k = "input" if k == "self"
          return {error: "#{@name}(): argument '#{k}' must be #{t}"}
        end
        break
      end
    end

    if good
      final_values = values
    end

    good
  end

  if candidates.size != 1
    raise Error, "This should never happen. Please report a bug with #{@name}."
  end

  func = candidates.first
  {
    name: func.cpp_name,
    args: func.args.map { |a| final_values[a[:name]] }
  }
end