Class: TensorStream::GraphBuilder

Inherits:
Object
  • Object
show all
Includes:
OpHelper, StringHelper
Defined in:
lib/tensor_stream/graph_builder.rb

Instance Attribute Summary collapse

Instance Method Summary collapse

Methods included from StringHelper

#camelize, #constantize, #symbolize_keys, #underscore

Methods included from OpHelper

#_op, #cons, #format_source, #fp_type?, #i_cons, #i_op, #i_var, #int_type?, #reduced_shape, #shape_eval, #shape_full_specified, #shapes_fully_specified_and_equal

Constructor Details

#initialize(graph) ⇒ GraphBuilder

Returns a new instance of GraphBuilder.



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# File 'lib/tensor_stream/graph_builder.rb', line 8

def initialize(graph)
  @graph = graph
end

Instance Attribute Details

#graph ⇒ Object

Returns the value of attribute graph.



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# File 'lib/tensor_stream/graph_builder.rb', line 6

def graph
  @graph
end

Instance Method Details

#build(buffer) ⇒ Object 



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# File 'lib/tensor_stream/graph_builder.rb', line 12

def build(buffer)
  protobuf = TensorStream::Protobuf.new
  parsed_tree = protobuf.load_from_string(buffer)
  parsed_tree.each do |node|
    next unless node["type"] == "node"

    # puts "build #{node['name']}"
    options = protobuf.options_evaluator(node)
    options[:name] = node["name"]
    options[:__graph] = @graph
    value = options.delete("value")
    options = symbolize_keys(options)
    case node["op"]
    when "Const"
      dimension = shape_eval(value)
      rank = dimension.size
      options[:value] = value
      options[:const] = true
      TensorStream::Constant.new(options[:dtype] || options[:T], rank, dimension, options)
    when "VariableV2"
      # evaluate options
      shape = options[:shape]
      i_var(options[:dtype] || options[:T], nil, shape, nil, options)
    when "Placeholder"
      shape = options[:shape]
      TensorStream::Placeholder.new(options[:dtype] || options[:T], nil, shape, options)
    else
      op = underscore(node["op"]).to_sym
      puts "warning unsupported op #{op}" unless TensorStream::Evaluator::RubyEvaluator.ops.key?(op)

      # map input tensor
      inputs = node["input"].map { |input|
        input[0] = "" if input.start_with?("^")

        input_indexed, index = input.split(":")

        tensor = if index && index.to_i > 0
          @graph.get_tensor_by_name(input_indexed)[index.to_i]
        else
          @graph.get_tensor_by_name(input)
        end

        raise "tensor not found by name #{input}" if tensor.nil?

        tensor
      }

      options[:data_type] = options.delete(:T)
      Graph.get_default_graph.add_op!(op, *inputs, options)
    end
  end

  @graph
end