{
  "id": "tensorflow/invalid-argument-iterator-get-next-failed",
  "signature": "InvalidArgumentError: GetNext() failed because the iterator has not been initialized",
  "signature_zh": "无效参数错误：GetNext()失败因为迭代器未初始化",
  "regex": "InvalidArgumentError.*GetNext\\(\\) failed because the iterator has not been initialized",
  "domain": "tensorflow",
  "category": "runtime_error",
  "subcategory": null,
  "root_cause": "A tf.data iterator was used before calling iterator.initializer, or the dataset pipeline was not initialized in eager mode.",
  "root_cause_type": "generic",
  "root_cause_zh": "在调用iterator.initializer之前使用了tf.data迭代器，或者在急切模式下未初始化数据集管道。",
  "versions": [
    {
      "version": "tensorflow 2.9.0",
      "introduced": null,
      "deprecated": null,
      "removed": null,
      "behavior_change": null,
      "status": "active"
    },
    {
      "version": "tensorflow 2.11.0",
      "introduced": null,
      "deprecated": null,
      "removed": null,
      "behavior_change": null,
      "status": "active"
    }
  ],
  "os_specific": {},
  "dead_ends": [
    {
      "action": "",
      "why_fails": "Reinitializing the iterator multiple times can cause session conflicts.",
      "fail_rate": 0.5,
      "condition": "",
      "sources": []
    },
    {
      "action": "",
      "why_fails": "Changing dataset shuffle buffer size doesn't fix initialization order.",
      "fail_rate": 0.7,
      "condition": "",
      "sources": []
    }
  ],
  "workarounds": [
    {
      "action": "Ensure iterator is initialized before use: for epoch in range(epochs): sess.run(iterator.initializer); while True: try: x, y = sess.run(next_element); except tf.errors.OutOfRangeError: break",
      "success_rate": 0.9,
      "how": "Ensure iterator is initialized before use: for epoch in range(epochs): sess.run(iterator.initializer); while True: try: x, y = sess.run(next_element); except tf.errors.OutOfRangeError: break",
      "condition": "",
      "sources": []
    },
    {
      "action": "Use tf.data.make_one_shot_iterator() for automatic initialization in TF1 style.",
      "success_rate": 0.8,
      "how": "Use tf.data.make_one_shot_iterator() for automatic initialization in TF1 style.",
      "condition": "",
      "sources": []
    }
  ],
  "workarounds_zh": [
    "Ensure iterator is initialized before use: for epoch in range(epochs): sess.run(iterator.initializer); while True: try: x, y = sess.run(next_element); except tf.errors.OutOfRangeError: break",
    "Use tf.data.make_one_shot_iterator() for automatic initialization in TF1 style."
  ],
  "transition_graph": {
    "leads_to": [],
    "preceded_by": [],
    "frequently_confused_with": []
  },
  "official_doc_url": "https://www.tensorflow.org/guide/data",
  "official_doc_section": null,
  "error_code": "GNF",
  "verification_tier": "ai_generated",
  "confidence": 0.82,
  "fix_success_rate": 0.85,
  "resolvable": "true",
  "first_seen": "2023-05-20",
  "last_confirmed": "2024-06-01",
  "last_updated": "2024-06-01",
  "evidence_count": 1,
  "tags": [],
  "locale": "en",
  "aliases": []
}