Class: TensorStream::Protobuf

Inherits:
Object
  • Object
show all
Defined in:
lib/tensor_stream/graph_deserializers/protobuf.rb

Overview

A .pb graph deserializer

Instance Method Summary collapse

Constructor Details

#initialize ⇒ Protobuf

Returns a new instance of Protobuf.



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# File 'lib/tensor_stream/graph_deserializers/protobuf.rb', line 6

def initialize
end

Instance Method Details

#evaluate_tensor_node(node) ⇒ Object 



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# File 'lib/tensor_stream/graph_deserializers/protobuf.rb', line 31

def evaluate_tensor_node(node)
  if !node["shape"].empty? && node["tensor_content"]
    content = node["tensor_content"]
    unpacked = eval(%("#{content}"))

    if node["dtype"] == "DT_FLOAT"
      TensorShape.reshape(unpacked.unpack("f*"), node["shape"])
    elsif node["dtype"] == "DT_INT32"
      TensorShape.reshape(unpacked.unpack("l*"), node["shape"])
    elsif node["dtype"] == "DT_STRING"
      node["string_val"]
    else
      raise "unknown dtype #{node["dtype"]}"
    end
  else

    val = if node["dtype"] == "DT_FLOAT"
      node["float_val"] ? node["float_val"].to_f : []
    elsif node["dtype"] == "DT_INT32"
      node["int_val"] ? node["int_val"].to_i : []
    elsif node["dtype"] == "DT_STRING"
      node["string_val"]
    else
      raise "unknown dtype #{node["dtype"]}"
    end

    if node["shape"] == [1]
      [val]
    else
      val
    end
  end
end

#load(pbfile) ⇒ Object

parsers a protobuf file and spits out a ruby hash



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# File 'lib/tensor_stream/graph_deserializers/protobuf.rb', line 16

def load(pbfile)
  f = File.new(pbfile, "r")
  lines = []
  while !f.eof? && (str = f.readline.strip)
    lines << str
  end
  evaluate_lines(lines)
end

#load_from_string(buffer) ⇒ Object 



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# File 'lib/tensor_stream/graph_deserializers/protobuf.rb', line 9

def load_from_string(buffer)
  evaluate_lines(buffer.split("\n").map(&:strip))
end

#map_type_to_ts(attr_value) ⇒ Object 



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# File 'lib/tensor_stream/graph_deserializers/protobuf.rb', line 65

def map_type_to_ts(attr_value)
  case attr_value
  when "DT_FLOAT"
    :float32
  when "DT_INT32"
    :int32
  when "DT_INT64"
    :int64
  when "DT_STRING"
    :string
  when "DT_BOOL"
    :boolean
  else
    raise "unknown type #{attr_value}"
  end
end

#options_evaluator(node) ⇒ Object 



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# File 'lib/tensor_stream/graph_deserializers/protobuf.rb', line 82

def options_evaluator(node)
  return {} if node["attributes"].nil?

  node["attributes"].map { |attribute|
    attr_type, attr_value = attribute["value"].flat_map { |k, v| [k, v] }

    if attr_type == "tensor"
      attr_value = evaluate_tensor_node(attr_value)
    elsif attr_type == "type"
      attr_value = map_type_to_ts(attr_value)
    elsif attr_type == "b"
      attr_value = attr_value == "true"
    end

    [attribute["key"], attr_value]
  }.to_h
end

#parse_value(value_node) ⇒ Object 



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# File 'lib/tensor_stream/graph_deserializers/protobuf.rb', line 25

def parse_value(value_node)
  return unless value_node["tensor"]

  evaluate_tensor_node(value_node["tensor"])
end