nagachika

class Vector
  attr_accessor :x, :y, :z
  def initialize(x, y, z)
    @x = x
    @y = y
    @z = z
  end
  def add(v)
    Vector.new(self.x+v.x, self.y+v.y, self.z+v.z)
  end

nagachika

node {
  name: "Const"
  op: "Const"
  attr {
    key: "dtype"
    value {
      type: DT_INT32
    }
  }
  attr {

nagachika

module M
  def foo
    puts "deinfed?(foo) => #{defined?(foo).inspect}"
    puts "method(:foo) => #{method(:foo) rescue $!}"
    p self
  end
end

a = "str-a"
a.extend(M)

nagachika

class A
  DefConst = lambda{|x| Const = x }

  def foo(x)
    DefConst.call(x)
  end
end

p(defined?(A::Const)) # => nil
A.new.foo(42)

nagachika

# TFRecord のファイルを tf.dataset で読み込むパイプラインを組む

# これは NG
labels = ["a", "b", "c"]
def input_fn():
  def _parse_example(example):
    features = tf.parse_single_example(example, features=tf_features_dict)
    label_str = features.pop("label")
    return features, tf.contrib.lookup.index_table_from_tensor(labels).lookup(label_str)

nagachika

[
  {
    "name": "document_sentiment",
    "type": "RECORD",
    "mode": "NULLABLE",
    "fields": [
      {
        "name": "magnitude",
        "type": "FLOAT",
        "mode": "NULLABLE"

nagachika

[
  {
    "name": "language",
    "type": "STRING",
    "mode": "NULLABLE"
  },
  {
    "name": "entities",
    "type": "RECORD",
    "mode": "REPEATED",

nagachika

[
 {
  "name": "language",
  "type": "STRING",
  "mode": "NULLABLE"
 },
 {
  "name": "sentences",
  "type": "RECORD",
  "mode": "REPEATED",

nagachika

[
  {
    "name": "results",
    "type": "RECORD",
    "mode": "REPEATED",
    "fields": [
      {
        "name": "alternatives",
        "type": "RECORD",
        "mode": "REPEATED",

nagachika

[
  {
    "name": "gcs_url",
    "type": "STRING",
    "mode": "NULLABLE"
  },
  {
    "name": "timestamp",
    "type": "TIMESTAMP",
    "mode": "NULLABLE"